Next Article in Journal
APHRODITE: A Compact Lab-on-Chip Biosensor for the Real-Time Analysis of Salivary Biomarkers in Space Missions
Next Article in Special Issue
Effect of Protection Polymer Coatings on the Performance of an Amperometric Galactose Biosensor in Human Plasma
Previous Article in Journal
Development of a Quantitative Digital Urinalysis Tool for Detection of Nitrite, Protein, Creatinine, and pH
Previous Article in Special Issue
A Portable and Disposable Electrochemical Sensor Utilizing Laser-Scribed Graphene for Rapid SARS-CoV-2 Detection
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Electrochemically Synthesized MIP Sensors: Applications in Healthcare Diagnostics

by
Akinrinade George Ayankojo
,
Jekaterina Reut
and
Vitali Syritski
*
Department of Materials and Environmental Technology, Tallinn University of Technology, Ehitajate tee 5, 19086 Tallinn, Estonia
*
Author to whom correspondence should be addressed.
Biosensors 2024, 14(2), 71; https://doi.org/10.3390/bios14020071
Submission received: 22 December 2023 / Revised: 23 January 2024 / Accepted: 27 January 2024 / Published: 30 January 2024

Abstract

:
Early-stage detection and diagnosis of diseases is essential to the prompt commencement of treatment regimens, curbing the spread of the disease, and improving human health. Thus, the accurate detection of disease biomarkers through the development of robust, sensitive, and selective diagnostic tools has remained cutting-edge scientific research for decades. Due to their merits of being selective, stable, simple, and having a low preparation cost, molecularly imprinted polymers (MIPs) are increasingly becoming artificial substitutes for natural receptors in the design of state-of-the-art sensing devices. While there are different MIP preparation approaches, electrochemical synthesis presents a unique and outstanding method for chemical sensing applications, allowing the direct formation of the polymer on the transducer as well as simplicity in tuning the film properties, thus accelerating the trend in the design of commercial MIP-based sensors. This review evaluates recent achievements in the applications of electrosynthesized MIP sensors for clinical analysis of disease biomarkers, identifying major trends and highlighting interesting perspectives on the realization of commercial MIP-endowed testing devices for rapid determination of prevailing diseases.

1. Introduction

The modern healthcare sector grapples with a growing need for swift and dependable analytical techniques that can ensure optimal selectivity with a relevant limit of detection (LOD). In addition, such techniques should also be cost-effective, portable, and adaptable for real-time monitoring. Innovative biosensing strategies that allow biomarkers to be tested reliably in a decentralized setting are highly desired for replacing time-consuming laboratory analyses and for making analytical results available at the patient’s home (point-of-care testing, POCT) or through personalized health monitoring with wearable sensing devices [1,2]. POCT is essential for the rapid, early-stage detection of disease, which enables quick medical decisions and leads to improved health outcomes for patients. A major limitation of existing biosensing systems is the usage of unstable biological receptors as recognition elements. Although these receptors offer high selectivity for the target, they constrain the device’s shelf life and escalate its overall cost. Consequently, concerted efforts aimed at developing biomimetic substitutes for biosensors are on the increase [3,4].
Molecularly imprinted polymers (MIPs) are state-of-the-art synthetic receptors that combine robustness and high selectivity for a desired target analyte [5,6,7]. The predominant advantages of MIPs over biological receptors in sensing applications include fabrication simplicity, resilience in challenging experimental conditions such as varying temperature, pH, and exposure to organic solvents [8]. The integration of MIP-based recognition elements into various transducers, including gravimetric [9], field-effect transistors [10], optical [11], and electrochemical [12], has been intensively studied with the aim of developing medical diagnostic tools. Robust interfacing of a MIP layer with a transducer is a key aspect in the design of a MIP-based sensor. In terms of the deposition of MIP on a transducer, the polymerization method is accomplished by various synthetic routes, such as surface-initiated photopolymerization [13], solid-phase synthesis [14,15], the sol–gel approach [16,17], and electropolymerization [18,19,20]. Among these methods, electrosynthesis has shown outstanding benefits in terms of precise control of the deposition process, providing both a specified thickness and inner morphology of a polymeric material on the sensing surface of a transducer, as well as the feasibility of carrying out the synthesis at room temperature [18]. A survey of electrosynthesized MIP sensors for analysis of drugs, bioanalytes, proteins, etc. has been covered in several outstanding reviews [21,22,23,24,25].
This review presents an overview of the recent achievements in the field of electrosynthesized MIP-based sensors for in vitro medical diagnostics, covering the publications of the last 6 years, with a special emphasis on the application of such sensors for the analysis of disease-related biomarkers.

2. Electrochemical Synthesis of MIPs

Electropolymerization is a simple and widely used method for realizing MIP for sensing purposes and aiming at a reliable interface between the recognition element and the sensor transducer [21,26]. During electropolymerization, the voltage- or current-induced oxidation of the monomer is followed by the growth of the polymer film on the surface of the working electrode. The lack of external initiators, which may alter the structure of proteins, is a major advantage over chemically, thermally, or UV light-initiated polymerization. Another important advantage of the process is that the polymer thickness can be easily controlled by adjusting the amount of electric charge imposed on the electrode during electrodeposition, making the resulting MIP more reproducible than other polymerization methods. The fabrication of a MIP with the optimum thickness is especially crucial in the case of surface imprinting of macromolecules in order to avoid irreversible trapping of the template in the polymer as well as to provide sufficient charge transfer through the imprinted cavities to the electrode for electrochemical sensing of the target [27,28]. Moreover, the properties of the polymer coating, such as porosity and morphology, can be conveniently controlled by the appropriate selection of the experimental conditions, such as solution pH and electrolyte nature [18,29]. Finally, electropolymerization allows MIP synthesis in mild conditions, including aqueous media and room temperature, which is crucial when imprinting biological molecules, e.g., proteins. This, along with the absence of a requirement for toxic external initiators, presents electropolymerization as a green synthesis strategy. Notwithstanding, compared to chemically polymerized MIPs, the choice of electropolymerizable monomers is limited. Hence, electropolymerizable monomers such as pyrrole, aniline, thiophene, 3,4-ethylenedioxythiophene (EDOT), 3-aminophenylboronic acid (APBA), phenylenediamine (PDA), scopoletin, and dopamine (DA) are most often used. At the same time, the rational selection of an appropriate functional monomer is paramount for the success of molecular imprinting. Consequently, computer modeling has seamlessly been integrated into the design and optimization of MIPs, including electrosynthesized MIPs. There exists a plethora of MIP reports and reviews detailing the significance of computational methods and strategies for favorable MIP designs across diverse applications [30,31]. Depending on the choice of the monomer and the synthesis conditions, electropolymerization leads to the formation of either conducting or non-conducting polymer films. In contrast to the electrically conducting polymers that can be grown in thicker films, the growth of insulating polymer films is self-limiting in terms of thickness, resulting in thin films up to a few tens of nanometers. Sharma et al. published a comprehensive review on electrosynthesized MIPs for chemical sensors, with the principal focus on conducting and nonconducting polymers [21].
Biomarkers, serving as target analytes for MIP-based sensors, can be categorized into small organic molecules (<1.5 kDa) and biological macromolecules, e.g., proteins, based on molecular weight. Due to their unique peculiarities, the MIP preparation protocol to be employed should be given careful consideration. The easiest and most straightforward way to prepare MIPs for small analytes is the polymer film electrodeposition on the conducting surface of a sensor transducer from the electrolyte solution containing a monomer and a target analyte with the subsequent removal of the template either by washing with an appropriate solvent or by applying an electrochemical potential (dedoping) [32,33]. This method is referred to as bulk imprinting, where 3D binding sites are built for the entire molecular structure. However, achieving high sensitivity for small molecules may be challenging due to the comparatively lower response being induced by the sensor transducers. To address this, the possibility of designing MIPs at the nanoscale [14] as well as the incorporation of nanomaterials, e.g., carbon nanotubes (CNTs) [34], graphene [35], and metal nanoparticles [36], has been demonstrated. Nanomaterials bring several advantages to MIP sensing layers by enhancing the surface area-to-volume ratio, thus amplifying the number of binding sites and their accessibility to analytes [37]. On the contrary, imprinting of biomacromolecules, e.g., proteins, is more challenging due to their intrinsic properties, such as large size, structural complexity, and conformational flexibility [22]. A recent article provided a critical review of protein-MIP evolution as well as recent advances in the field [38]. The classical “bulk” imprinting strategy seems not to be a desired method for protein imprinting since it usually results in the complete entrapment of protein in the polymer, creating difficulties in its removal and subsequent rebinding. Nevertheless, there are several reports on successful bulk imprinting of protein biomarkers, including carcinogenic embryonic antigen (CEA), carbohydrate antigen 15-3 (CA 15-3), and 5-hydroxyindole-3-acetic acid (5-HIAA) [39,40,41].
Among a variety of approaches introduced to address the problem of macromolecular imprinting, surface imprinting has become the most popular, allowing the generation of binding sites at/or close to the polymer surface [42,43]. Thus, different surface imprinting strategies involving electropolymerization were developed to prepare MIP-based sensors for disease biomarker detection.
Syritski’s group developed an electrochemical surface imprinting strategy for target proteins that was successfully applied for imprinting immunoglobulin G [27], cerebral dopamine, and brain-derived neurotrophic factors (CDNF, BDNF) [44,45], and SARS-CoV-2 viral proteins [46,47]. The strategy consists of (A) covalent immobilization of a target protein via a cleavable linker to a conducting surface; (B) electropolymerization of a monomer with careful control of the thickness of the growing polymer to exclude protein entrapment; (C) cleavage of the linker to facilitate protein removal; and (D) formation of MIP with protein-selective binding sites located on the polymer surface (Figure 1).
Polish researchers developed a surface imprinting approach by combining colloidal crystal templating with electropolymerization to fabricate an inverse opal structure with molecular imprints on the surface [48,49]. Thus, a hierarchical structure of a colloidal crystal template of SiO2 nanoparticles (NPs) was prepared using, e.g., the Langmuir–Blodgett technique (see Figure 2A). Then, template protein molecules (e.g., human chorionic gonadotropin (hCG)) are immobilized on the surface of these NPs (Figure 2B) and derivatized with functional monomers (bithiophene) (Figure 2C), followed by electrodeposition of poly(2,3′-bithophene) film in the hierarchical structure (Figure 2D). Finally, the removal of NPs and the protein from the resulting polymer leads to a polymeric inverse opal material with molecular cavities present exclusively on the inner side of the pore wall (Figure 2E). The developed approach resulted in a highly porous hierarchical MIP nanostructure that allowed the achievement of a remarkably high detectability of target protein.
Another approach to tackle the challenges of imprinting macromolecules is epitope imprinting, where a small surface-exposed fragment of a protein—an epitope—is used as a template [50,51]. Epitope templates, which are easily produced by artificial synthesis, are substantially more robust and stable than whole protein templates. In addition, as an epitope mimics the recognition domain of the antibody, epitope-imprinting would result in recognition sites that are more similar to natural ones, ensuring higher selectivity toward the target analyte [50]. Therefore, a MIP-based sensor developed on the basis of epitope imprinting was used for the recognition of neuron-specific enolase (NSE), a cancer biomarker [52]. Prior to imprinting, a computational simulation was employed to identify the most stable cysteine-modified secondary structure of the protein (Cys-Ep1) that was subsequently used as the epitope template. Electrosynthesis of a nonconductive film was achieved by cyclic voltammetry (CV) using scopoletin as the functional monomer. To reveal the binding cavities, the template was removed from the polymer by applying an anodic potential of 0.9 V. The authors later used the same approach but employed double-cysteine-modified peptides as the epitope templates that were immobilized on a gold surface by a self-assembled monolayer before electropolymerization [53].

3. Electrosynthesized MIP-Based Sensors for Detection of Disease Biomarkers

In this section, we will review reports that detail the electrochemical synthesis of MIP-based sensors designed for identifying biomarkers associated with various diseases. The focus will be on diseases commonly encountered in clinical settings, including cancer, cardiovascular problems, inflammatory disorders, neurological disorders, and infectious diseases.

3.1. Cancer

Cancer is a leading cause of death, accounting for one-sixth of the global mortality rate in 2020 [54]. Among the known types, lung, colorectal, liver, stomach, and breast cancers comprise the most common forms of cancer deaths [55]. There are several molecular biomarkers used across different stages of cancer progression that allow for the diagnosis and/or monitoring of treatment responses. Among other sensing materials, MIPs have gained research attention, demonstrating their potential to be employed as sensing layers in devices for cancer diagnosis [56,57]. Consequently, a variety of electrochemically produced MIP sensors are available for several biomarkers, such as CEA, carbohydrate antigens (CAs), epidermal growth factor receptor 2 (Her-2), NSE, 5-HIAA, etc.
CEA is the most widely used tumor marker in clinical practice. It was found to be a useful marker for the diagnosis and prognosis of different cancers, including colorectal [58], lung [59], breast [60], and gastric [61] cancers. The accepted serum level of CEA is less than 3 ng mL−1, and values above this could be indicative of cancer [62]. A self-powered and self-signaled autonomous electrochemical biosensor was designed to determine CEA [63] (Figure 3). The biosensor incorporates a photovoltaic cell, specifically a dye-sensitized solar cell (DSSC), where the biosensing occurs at one of the electrodes, namely the counter electrode (CE) of the DSSC. This electrode comprises a fluorine-doped tin oxide (FTO) glass substrate coated with a conductive poly(3,4-ethylenedioxythiophene) (PEDOT) layer and a CEA-selective MIP film (Figure 3A,B). The other electrode of DSSC was a traditional photoanode of titanium dioxide (TiO2) with a ruthenium-based dye and an iodide-based electrolyte. The concentration-dependent sensor response is generated by transforming electrical energy into color via an electrochromic cell consisting of a PEDOT/SS-NH2 electrochromic material, a semi-solid electrolyte, and an FTO-conductive glass (Figure 3C). The hybrid biosensor device exhibits a linear response in the range of 100 ng mL−1 to 100 μg mL−1 and a LOD of 0.14 ng mL−1 in human urine samples. Although a blood sample is typically used for CEA assessment, the result might suggest the sensor’s potential for a reliable investigation of the onset of the disease or to track the course of treatment.
Qi et al. developed a sensor for the determination of CEA combining the surface imprinting technique and microfluidic paper-based analytical devices (Bio-MIP-ePADs) operating with a movable valve and origami method (Figure 4) [64]. The device comprises four parts: the movable valve, washing channels, working electrode, and counter/reference electrode parts. The counter/reference electrode part and the movable valve part were connected to the working electrode by rivets, while the washing channels were connected and utilized through origami folding. The design of the movable valve that was realized using hollow rivets as the holding center to control the channel of the ePADs in different layers has significantly enhanced performance during both synthesis and detection periods. The electropolymerization process for forming the MIP layer occurred on a microfluidic paper-based analytical device (μPAD), which had been previously modified with graphene oxide, chitosan, and CEA. As the fabrication protocol involved no external treatment and occurred solely on the μPADs, the resulting synthesis could be classified as green and offers both low cost and toxicity. The Bio-MIP-ePADs assessed by differential pulse voltammetry (DPV) displayed a linear range of 1–500 ng mL−1 with a LOD of 0.32 ng mL−1. In addition, the device’s performance, which was further tested in standard solutions of CEA within a concentration range of 0.6–5.0 ng mL−1, demonstrated agreement with the ELISA method. This was further established by comparing the analysis of real serum samples using Bio-MIPs-ePADs and chemiluminescent immunoassay, revealing no noticeable difference between the methods, with RSD ranging from 2.7% to 6.5%. Although the DSSC-based biosensor yielded a better limit of detection than in this report, it should be noted that the samples tested—urine and serum—have quite different levels of complexity, making a direct comparison between them a laborious task.
Furthermore, carbohydrate antigens such as CA15-3 and CA125 are also common cancer biomarkers for which MIP sensors have been fabricated. CA15-3 is extensively utilized as a serum marker for monitoring response or progression in metastatic breast cancer [65], while CA125 is linked to ovarian cancer [66]. For example, elevated levels of CA 15-3, i.e., concentrations above 30 U mL−1, are considered to be a potential indicator of breast cancer or its progression [62]. Thus, Pacheco et al. [67] developed a voltammetric MIP sensor for the analysis of CA15-3. The MIP production was based on direct surface imprinting of CA15-3 on the surface of a gold screen-printed electrode (Au-SPE) by electropolymerization of 2-aminophenol (2-AP). The voltammetric analysis was conducted using hexacyanoferrate (II/III) as a redox probe. A linear relationship between the sensor signal and the logarithm of the CA15-3 concentration was established between 5 and 50 U mL−1. The obtained LOD of 1.5 U mL−1 was well below the cut-off value in clinical practice (25 U mL−1). In another paper, CA15-3 was determined by an electrically conductive MIP-based electrochemical sensor fabricated using the electropolymerization of a water-soluble redox dye, toluidine blue, as a functional monomer on the Au-SPE precoated with a monomer-terminated SAM, thus ensuring the formation of a homogeneous and stable polymer film [40]. The calibration plots revealed a linear dependence of peak current over a wide CA15-3 concentration range (from 0.10 U mL−1 to 100 U mL−1) and low LOD (<0.10 U mL−1) in the buffer. Its performance was also validated in artificial serum. And yet, in another recent publication, CA15-3 MIP was fabricated on a paper-based carbon nanotube electrode that was previously modified with AuNPs. It was then modified by a MIP layer achieved by cyclic voltammetry electropolymerization of ortho-phenylenediamine (oPDA) in the potential range of −0.2 to 1.0 V at a scan rate of 50 mV s−1 and for 20 cycles. Although prolonged template elution and rebinding of the target were witnessed for about 2 and 1 h, respectively, the sensor reveals a good sensitivity of 0.013936 μA/U mL−1, a linear range of 5–35 U mL−1, and a LOD of 1.16 U mL−1. Moreover, a satisfactory performance in serum samples was accompanied by good recoveries, suggesting that it is probably appropriate for use in the intended medium. However, a similar implementation of the sensor in the analysis of saliva samples fails due to low recovery and low reproducibility.
Another identified biomarker of breast cancer is the Her-2 protein, which was targeted by a MIP-based biosensing platform developed by using laser-scribed graphene (LSG) electrodes [68]. The electrodes were fabricated using polyimide by an irradiation CO2 laser, which was subsequently modified with nano-sized gold to increase its sensitivity and boost Her-2 immobilization. PEDOT was then electrodeposited around Her-2 by the chronoamperometry technique at +0.85 V prior to template removal in ethanol. The performance of the sensor, monitored by square wave voltammetry (SWV), showed promising results in recognizing Her-2 in the concentration range from 1 to 200 ng mL−1 and a LOD of 0.43 ng mL−1 below the cut-off value of 15 ng mL−1. Moreover, the sensor demonstrated a high selectivity for Her-2 against other interfering biomolecules and a good recovery (109–112%) in Her-2 spiked undiluted human serum samples. Finally, the POCT capability of the sensor was demonstrated by integrating it with a homemade electrochemical analyzer connected to the mobile analytical software.
NSE is a well-known marker of small cell lung cancer, and it is said to be the most reliable tumor marker in the diagnosis, prognosis, and monitoring of small cell lung cancer [69,70]. Tchinda et al. selected NSE as a template to develop biomimetic electrochemical sensors for the rapid detection of small-cell lung cancer [71]. The sensors were armed with scopoletin-based MIPs targeting NSE-derived peptide epitopes as well as the whole protein. The MIPs were synthesized via surface imprinting in the presence of cysteine- or histidine-modified epitope templates. These MIPs endowed the sensors with a selective ability to detect the peptide epitope in a concentration range of 2 to 128 µM and 15.6 nM to 128 µM, respectively, while the main target, NSE, could be detected in the range of 1 to 64 ng mL−1 and 0.25 to 64 ng mL−1, respectively. In a later report, the same research group succeeded in significantly improving NSE detection by introducing a fully electrochemical MIP sensor based on dual-epitope imprinting and gold nanoparticles (AuNPs) decoration achieved by hybrid epitope imprinting [72]. The developed sensor allowed the recognition of NSE in human serum in a concentration range of 25–4000 pg/mL with negligible cross-reactivity with dopamine, bovine serum albumin, glucose, and elongated peptide. The sensitivity level was enhanced to a great extent (20-fold) as compared to single epitope NSE-MIP [71] and allowed the ultrasensitive recognition of NSE in human serum.
5-HIAA is the primary metabolite of serotonin; its quantification in body fluids is found to be of high clinical significance as its altered levels draw attention to a human physiology disruption and a possible neuroendocrine tumor development [73]. Polypyrrole (PPy) nanothin film having molecular imprints of 5-HIAA formed on a glassy carbon electrode (GCE) served as a sensor capable of rapid electrochemical detection of 5-HIAA with a LOD of 15 pM in Britton–Robinson buffer, which was maintained (3.8% decrease in sensitivity) after almost 20 days of use and regeneration [41]. Furthermore, the sensor was successfully validated for the detection of 5-HIAA in serum, urine, and plasma, showing an excellent recovery between 98.86 and 101.52%.
Prostate-specific antigen (PSA) is considered the primary biomarker used for the diagnosis and follow-up of prostate cancer patients [74]. Wang et al. engineered a PSA sensor using electrochemiluminescence (ECL). In order to achieve high selectivity and sensitivity, this sensor was endowed with dual recognition, as provided by the integration of both aptamer and MIP recognition elements [75]. The sensor preparation involved an AuNPs-modified electrode on which the aptamer was self-assembled, followed by the formation of a MIP membrane through electropolymerization of dopamine (DA), resulting in the creation of an aptamer-MIP sensor. When PSA molecules are bound to the imprinted cavities, it suppresses electron transfer, causing a reduction in the ECL signal of luminol–H2O2 in the solution. This method of detection led to a LOD of 3.0 pg mL−1 within the range 5 pg mL−1–50 ng mL−1. Furthermore, the sensor was validated in human serum samples, showing its consistency with results obtained through clinical detection of PSA and a recovery range of 97.30% to 104.49%. This underscores the aptamer-MIP sensor’s remarkable capability to mitigate interference in complex biological samples. Another prospective biomarker for prostate cancer is sarcosine, which is detectable in both serum and urine samples [76,77]. Nguy et al. have used sarcosine as a target analyte to develop an impedimetric MIP-based sensor. The MIP layer was formed by electrodeposition of an ultrathin poly(4-aminothiophenol) film on top of the AuNPs-covered carbon SPE. The prepared sensor could detect sarcosine in buffer solution in the linear range of 1 ng mL−1–1.6 μg mL−1 with LOD and LOQ values of 0.76 ng mL−1 and 1.0 ng mL−1, respectively. In addition, the sensor was able to discriminate between sarcosine and interferent amino acids: l-alanine and l-lysine [36]. Other recent publications on the detection of cancer biomarkers by electrosynthesized MIP-based sensors are included in Table 1.

3.2. Cardiovascular Disease

Cardiovascular diseases are usually life-threatening and account for a major cause of death globally. Fortunately, several biomarkers are released into the blood during cardiac-related damage or stress that help in either predicting the onset of cardiovascular events or identifying individuals with the risk of developing the disease, hence helping in commencing preventive pharmacotherapy [93]. A recent review evaluating the significance of MIP-based POCT systems for cardiac disease-related biomarkers was documented [94]. One of the potent biomarkers of cardiac diseases and acute myocardial infarction (AMI) is cardiac troponin, cTn (I or T), which has been referred to as the gold standard cardiac biomarker [95]. In healthy humans, the decision limit for the levels of cardiac troponins in the serum is as low as 0.01 ng mL−1 [96]. Understandably, the imprinting of cardiac biomarkers, especially cTn, has received greater research attention.
Yola et al. developed a MIP-based biomimetic sensor where PPy imprinted with cTnI was electrodeposited on a GCE previously functionalized with uniform-sized boron nitride quantum dots (BNQDs) [97]. BNQDs provided an enhanced surface area and improved conductivity for the sensor electrode. The sensor showed high selectivity and sensitivity, a wide linear range (0.01–5.00 ng mL−1), and a LOD (0.5 pg mL−1) that was lower than previously reported detection methods. Further studies in plasma samples indicated that the sensor was selective for cTnI against cardiac myoglobin, bovine serum albumin, or cTnT, and reusability of up to 25 times was achieved. Furthermore, norepinephrine, a new functional monomer, was employed in building up a cTnI-imprinted film combined with an optical sensing system [98]. The authors utilized epitope-imprinted SPR biosensors to achieve cTnI detection. They concluded that the increased hydrophilicity of MIP-based norepinephrine compared to DA reduces the non-specific adsorption of proteins stemming from hydrophobic interactions with the surface. However, the LOD value (8.9 ± 1.9 nM) obtained by the direct detection of the analyte on the MIP-SPR sensor was far from the clinical performance requested by the international guidelines, ca. 40 ng/L (0.45 pM). To address the sensitivity issue, the authors proposed an amplification strategy based on an anti-TnC antibody labeled with alkaline phosphatase that allowed for a lower LOD value in spiked buffer solution, as well as demonstrated a prospective application of the MIP developed on high-sensitivity colorimetric/fluorometric platforms, i.e., in ELISA-type format, taking advantage of enzyme amplification.
Other troponins, including troponin-T (TnT), have also been utilized as templates for preparing MIP-based electrochemical sensors. A polyaniline-based MIP was electrodeposited on a carbon SPE modified with multi-walled carbon nanotubes (MWCNTs) and polymethylene blue (PMB) [99]. PMB was utilized as a redox-active layer and helped to avoid the need for a redox probe solution during rebinding. The sensor achieved a wide linear range of 0.10–8.0 pg mL−1 with a LOD of 0.040 pg mL−1 in buffer solution. The performance of the sensor in spiked human plasma was comparable with the gold standard electrochemiluminescence method in clinical use. In addition, an interesting approach to address the issue of decreased sensitivity in cTnT detection at low concentrations (<0.2 ng mL−1) by MIP-based electrochemical sensors was proposed [100]. The authors developed a new type of sensing electrode, an anodic aluminum oxide molecularly imprinted (MIP/AAO) nanocomposite electrode. MIP film was formed by electropolymerization of o-phenylenediamine (o-PDA) directly on AAO-modified electrodes, which can facilitate the vertical confinement of the redox current pathways to the bottom conductive electrode. With the addition of a one-dimensional AAO pillar, an improvement in the performance of the sensing electrode was achieved, resulting in a higher sensitivity of 1.08 × 10–4 ng mL−1 in the low-concentration regime (<0.03 ng mL−1) as well as a LOD value of 5.34 pg mL−1.
Other than troponins, myoglobin (Mb), a heme-containing redox protein, is considered one of the earliest markers of AMI, which can be used as an early confirmation of the disease onset [101]. Shumyantseva et al. reported on electrochemical sensors where a Mb-imprinted poly(o-PDA) was electrochemically synthesized on SPE [102] and MWCNT-modified SPE [103] (Figure 5). Due to the inherent redox property of Mb, its rebinding to a MIP sensor can be registered through direct electrochemical detection of the peak corresponding to Fe3+ reduction in the Mb molecule, thus avoiding the use of an external redox probe. In the first paper, MIP electrosynthesis was studied and optimized using the electrochemical quartz crystal microbalance (EQCM) technique, then integrated with SPE and tested in spiked human plasma, demonstrating a broad range of working concentrations of 1 nM to 1 µM and a LOD of 0.5 nM (9 ng mL−1), which is comparable with the sensitivity of immunosensors. In the next report, the researchers described a similar MIP-based sensor that was conjugated with MWCNTs to improve the sensitivity. The sensor was tested in the plasma samples of healthy people and AMI patients by applying a multi-parameter electrochemical analysis combined with subsequent computational clustering. This approach was found to provide better accuracy in the classification of plasma samples among groups of healthy people or AMI patients. Other recent publications on the detection of cardiovascular disease biomarkers by electrosynthesized MIP-based sensors are summarized in Table 1.

3.3. Inflammatory Disorders

Another prevalent clinical condition that has received MIP research attention is inflammation. They are accompanied by changes in the levels of certain biomolecules, e.g., interleukin-6 (IL-6) and 3-nitrotyrosine (3-NT), that are employed as biomarkers for identifying and monitoring the onset or progression of several inflammatory diseases.
To determine IL-6, a biomarker of brain inflammatory disorders [104], Gonçalves et al. developed a MIP-based electrochemical sensor by imprinting IL-6 in a poly(pyrrole-co-carboxylated pyrrole) electrodeposited on a carbon SPE [105]. The analytical performance of the sensor in an analyte-containing buffer and 100-fold diluted human serum was monitored by electrochemical impedance spectroscopy (EIS) and compared to the reference non-imprinted polymer-based sensor. The sensor displayed a LOD of 0.02 pg mL−1, which is lower than the cut-off level of 1.6 pg mL−1 in a healthy individual. Moreover, integrating the MIP with an SPE permits the POCT adaptation of the sensor and simple handling, thus indicating its suitability for clinical analysis. Also, a MIP synthesized on graphene quantum dots (GQDs)/functionalized MWCNT nanocomposite was adapted for determining IL-6 [106]. To form the composite, GQDs synthesized by oxidizing graphene sheets were mixed with MWCNTs and subsequently immobilized on GCE. Using CV, a PPy film was formed on the functionalized electrode in the presence of IL-6 as a template. In plasma samples, the electrochemical sensor exhibited a linearity range of 0.01–2.0 pg mL−1 and a LOD of 0.0030 pg mL−1, which demonstrates its superiority over those reported in existing literature for IL-6 determination. Moreover, the sensor was validated for high selectivity, stability, and good reproducibility.
In order to address the increasing need for wearable devices, Martins et al. [107] demonstrated a flexible electrical platform for the assembly of the electrochemical sensor targeted for 3-NT as a stable marker of oxidative stress in inflammatory diseases [108]. Practically, the sensor gold electrodes were fabricated on a transparent polymeric sheet substrate with a 3-NT-selective MIP layer assembled through electropolymerization of phenol in the presence of 3-NT. The sensor responses were derived by EIS, and under the optimized conditions, it was possible to detect 3-NT over the concentration range of 10 pg mL−1–1 μg mL−1 with a LOD of 1.13 pg mL−1, representing one of the lower LODs found in the literature. The authors foresee that such sensors can withstand mechanical deformations without compromising their electrochemical performance. Other recent publications on the detection of some inflammatory disease biomarkers by electrosynthesized MIP-based sensors are included in Table 1.

3.4. Neurological Disorders

Neurological disorders are malfunctions affecting the nervous system due to structural, biochemical, or electrical abnormalities in the brain, spinal cord, or other nerves of the human body [109]. Hence, to facilitate the achievement of curative or management goals of medical research via the provision of clinical evaluation and diagnosis, there is a need to design biomimetic sensors to detect known biomarkers of these disorders [110]. Neurotransmitters are responsible for the transmission of signals between neurons and non-neuronal body cells across chemical synapses. Abnormal transmission or variation in their concentration is directly associated with a variety of neurological disorders such as Alzheimer’s, schizophrenia, Parkinson’s, and depression [111]. Among neurotransmitters, DA, serotonin (SER), and epinephrine (adrenaline) are more commonly used as templates for MIP preparation [112].
By harnessing the benefits of the enlarged specific sensing area, Yang et al. prepared an electrochemical sensor where layers of polythionine (pThi) and MIP acting as the internal redox-active reference and DA receptor, respectively, were successively electrodeposited on nanoporous gold (NPG) [113]. Initially, the sensor featured a stable redox peak of pThi (a reference peak), which decreased after rebinding of DA, causing the appearance of an oxidation peak of the analyte on the sensing surface (Figure 6). The concentration-dependent response of the sensor is the ratio of DPV peaks for those processes. Thanks to the inner polythionine layer, the sensor is characterized by remarkable stability and the absence of analyte-independent interference of its responses in the broad dynamic range of 0.3–100 μM, as well as a low LOD of 0.1 μM.
Yola et al. prepared an electrochemical sensor for SER using graphene quantum dots that are incorporated into 2D hexagonal boron nitride nanosheets [114]. Electrosynthesis of polyphenol in the presence of SER was achieved by CV, and the template was then washed out in a 1.0 M NaCl solution. The sensor showed better analytical limits (linearity range of 1.0 pM–10 nM and LOD of 0.2 pM) to SER than previous methods. Moreover, the target-selective response and the potential to analyze urine samples with good recovery were demonstrated. The unique electronic and catalytic properties of hexagonal boron nitride nanosheets, culminating in their stability, increased surface area, and conductivity, in addition to the selective properties of MIPs, contributed to the sensor’s performance. In another study, a nontoxic green functional monomer, nicotinamide, was employed in fabricating a MIP-based electrochemical sensor for epinephrine on a reduced graphene oxide modified GCE by CV [115]. The graphene-induced excellent electrocatalytic activity was displayed towards the target, resulting in improved sensitivity, high selectivity, a wide linear range (0.015 and 40 μM), a LOD of 3 nM, good reproducibility (RSD 3.44%), and good recoveries (96.0% to 100.7%) in urine and epinephrine ampoules.
Apart from neurotransmitters, there are other specific biomarkers for different neurological disorders. For instance, α-Synuclein, a presynaptic neuronal protein, is genetically and neuropathologically linked to Parkinson’s disease, while amyloid-β protein is commonly associated with Alzheimer’s disease [116,117]. Thus, Ma et al. [118] reported a MIP-based electrochemical sensor for detecting α-Synuclein. To improve the sensor performance, a GCE was modified with a composite consisting of a nanospherical conjugated microporous polymer and graphene nanosheets prior to template immobilization and subsequent electropolymerization of pyrrole. Following template elution, the optimized sensor indicated a wide linearity (1 × 10−4 to 8 ng mL−1) and a low LOD (3.5 × 10−5 ng mL−1) comparable to other existing methods such as ELISA. Although its performance, tested against real patients’ samples, was yet to be evaluated, the sensor established a satisfactory capability in artificial serum samples. In another study aimed at fabricating a sensor for clinical diagnosis of Alzheimer’s disease, a known biomarker, amyloid-β 42 (Aβ-42) peptide, was the target [119]. Herein, delaminated titanium carbide (MXene) and MWCNT composites were combined with PPy-based MIP to enhance the sensor sensitivity towards the detection of Aβ42. The assay results in a linear range of two orders of magnitude and a LOD of 0.3 fg mL−1. Researchers from Portugal reported on the preparation of an eco-friendly and outstandingly inexpensive MIP-based electrochemical sensor for Aβ42 on a paper-based platform [120]. First, carbon-ink-printed homemade electrodes were fabricated on conventional office paper with subsequent electrodeposition of the PEDOT layer to improve the electrical features of the electrodes (Figure 7A). Then, a MIP layer was created on the carbon ink electrode’s surface by electropolymerizing o-PDA in the presence of Aβ42 and the subsequent removal of the template molecules by enzymatic and acidic treatments (Figure 7B). The sensor showed good operational characteristics in the range of 0.1 ng mL−1 to 1 μg mL−1 and a LOD of 0.067 ng mL−1 in spiked fetal bovine serum samples, as well as a fast response time (ca. 20 min).
In addition, neurotrophic factor proteins, e.g., cerebral dopamine neurotrophic factor (CDNF) [121], that have been shown to be a promising candidate for the treatment of Parkinson’s disease [122], could serve as potential biomarkers for early-stage diagnosis and/or follow-up of the neuroprotective therapy that is increasingly gaining the attention of the molecular imprinting research community. Thus, CDNF-specific nano-thin layers of MIP were electrogenerated on sensing elements of surface acoustic wave (SAW) transducers and adopted for ultra-sensitive detection of CDNF protein for early diagnosis of neurological disorders and monitoring of neuroprotective therapies [44]. By employing the surface imprinting strategy (Figure 1) involving the immobilization of the protein onto the electrode via a cleavable linker followed by electrodeposition of a layer of poly(m-phenylenediamine) (poly(m-PD)), CDNF molecular imprints were generated on the sensor substrate. The sensor depicted high discrimination between the target and its homolog in the sub-pg mL−1 range and a detection limit of 0.1 pg mL−1, illustrating its close competition with established protocols such as ELISA. Other recent publications on the detection of neurological disease biomarkers by electrosynthesized MIP-based sensors are included in Table 1.

3.5. Infectious Diseases

Despite the efforts of the global health system to promote human well-being, humanity has continually witnessed threats from chronic and emerging infectious diseases. Thus, disease outbreaks such as influenza, Zika, malaria, Ebola, dengue, Middle East respiratory syndrome, and the very recent severe acute respiratory syndrome, i.e., COVID-19, were prevailing global episodes over the last decades. The use of sensing devices targeted toward known biomarkers of these diseases is required for the early-stage identification and diagnosis of the infection and monitoring of treatment response [123]. A comprehensive overview of advancements in the development of POCT devices and MIP-based sensors for infectious diseases has been presented in several review papers [124,125,126].
To develop a biomimetic sensor for the diagnosis of liver infection, hepatitis C, a MIP-based biosensor for the recognition of hepatitis C virus (HCV) core antigen, was prepared by electropolymerization of DA, the functional monomer around HCV core antigen aptamer immobilized on GCE. To improve the conductivity, hence sensitivity, and aptamer loading capacity, GCE was modified with MWCNT-chitosan nanocomposite prior to aptamer immobilization and electrosynthesis [127]. To characterize the sensor, different electrochemical methods, including CV, DPV, and EIS, were used. The sensor indicated a linear response ranging from 5.0 fg mL−1 to 1.0 pg mL−1 and a detection limit of 1.67 fg mL−1. In addition, its practical application for the analysis of human serum samples was validated, thus suggesting the potential of the sensor to be used for the intended clinical analysis and subsequent diagnosis of hepatitis C infection.
Syritski’s research group published two reports where MIPs combined with gold thin-film metal electrodes (Au-TFME) were placed in service for express analysis of SARS-CoV-2 antigens as diagnostic markers of COVID-19 [46,47]. In the first report, SARS-CoV-2 nucleocapsid protein (ncovNP) was imprinted within poly(m-PD) by the surface imprinting approach, where noncovalent interaction played a major role in the analyte recognition (Figure 8) [46]. In the successive report, the group utilized SARS-CoV-2 spike protein subunit S1 to generate imprints in poly(APBA) by exploiting the covalent interaction between the boronic acid-containing monomer and 1,2-diols of the glycosylated target protein [47]. In both cases, DPV was applied to determine the analytical signals obtained from a decreasing current peak in response to an increasing analyte concentration. The sensors showed good characteristics, including a wide linear range and a low LOD in both the buffer and nasopharyngeal samples of COVID-19 patients, and results were comparable to PCR analysis, thus demonstrating the significance of the sensors for clinical analysis. It is important to highlight that the sensor delivered responses that can be easily measured with a portable potentiostat, thus holding significant potential for use in the design of a POCT platform for the swift and early diagnosis of COVID-19 patients.
In another recent contribution to the development of MIP-based electrochemical sensors for SARS-CoV-2 antigen detection, the research group of Ramanavicius imprinted SARS-CoV-2 viral spike glycoprotein in PPy [128]. Electrodeposition of the polymer on a platinum electrode was achieved by potential pulses from a phosphate-buffered saline (PBS) solution (pH 7.4) containing a mixture of SARS-CoV-2 spike glycoprotein and pyrrole. The study revealed enhanced glycoprotein rebinding as compared to the reference non-imprinted sensor, and selective recognition towards the target was demonstrated as against bovine serum albumin. Likewise, Tabrizi et al. imprinted a SARS-CoV-2-S receptor-binding domain (SARS-CoV-2-RBD) using CV-assisted electropolymerization of o-PDA in the presence of SARS-CoV-2-RBD on a macroporous gold SPE [129]. The impedimetric sensor displayed a good sensitivity and selectivity, a linear response of 2–40 pg mL−1, and a detection limit of 0.7 pg mL−1. Also, its clinical applicability was established by testing saliva samples spiked with different concentrations of SARS-CoV-2-RBD. An alternative approach for detecting SARS-CoV-2-RBD was introduced by Gyurcsányi’s group [130]. An alternative approach for detecting SARS-CoV-2-RBD was introduced by Gyurcsányi’s group. In this approach, the researchers engineered MIP-based microarrays selective for proteins on the surface of SPR chips. These microarrays were prepared by epitope imprinting a specific nonapeptide sequence, GFNCYFPLQ, unique to SARS-CoV-2-RBD, into polyscopoletin spots (approximately 500 μm). With such a system, it is anticipated that enlarging the number of elements in the microarray would facilitate its applicability for high-throughput screening of different virus variants as well as homologous and diverse protein targets within the limits of a single chip. Other recent publications on the detection of infectious disease biomarkers by electrosynthesized MIP-based sensors are included in Table 1.

3.6. Other Clinical Disorders

In addition to the disease biomarkers considered in Section 3.1, Section 3.2, Section 3.3, Section 3.4 and Section 3.5, for which MIP sensors are prepared, there are biomarkers for several other diseases that have also gained the attention of imprinting researchers. Dąbrowski et al. [49] applied the colloidal crystal templating strategy to fabricate surface-imprinted macroporous films for chemosensing of hCG hormone, which, in addition to the simple confirmation of pregnancy, can also be a marker of other pathological conditions like tumors [131]. The resulting macroporous MIP film integrated with electric transducers, namely, EG-FET and capacitive impedimetry, allowed the label-free, real-time determination of hCG hormone with detection limits of 0.8 and 0.17 fM as well as linear ranges of 0.8–50 and 0.17–2.0 fM, respectively, in 10 mM carbonate buffer (pH = 10). These are comparable with those parameters obtained from other biosensors reported for hCG analysis and cover the concentration range in which hcG exists in real patients’ samples.
An enzyme-free impedimetric MIP-based biosensor for selective and sensitive determination of L-hydroxyproline (L-hyp), a biomarker useful for early diagnosis of bone diseases, was reported [132]. Therein, a MIP layer was formed by CV on a carbon SPE by co-electropolymerization of APBA and o-PDA monomers in the presence of L-hyp as a template [133]. The sensor’s detection principle is based on changes in the charge transfer of redox probe ions [Fe(CN)6]3−/[Fe(CN)6]4− through the imprinted cavities on the MIP upon rebinding of or in the absence of the target analyte, as measured by EIS (Figure 9). The sensor depicts a high sensitivity and selectivity towards the target with a LOD and linearity of 0.13 μg mL−1 and 0.4–25 μg mL−1, respectively. Among other benefits, the fabricated biosensor offered several advantages, including simple operation, stability of up to 18 days, and successful implementation for L-hyp determination in human serum samples.
In another study [134], by electropolymerizing a novel monomer, 2-amino-5-mercapto-1,3,4-thiadiazole, on a GCE electrode modified with reduced graphene oxide (rGO), a MIP layer was formed. The sensor was designed for the simultaneous detection of uric acid and tyrosine. Both are recognized as potential biomarkers for various disorders, including arthritis, neurological disorders, and kidney diseases [135]. The sensor’s principle entails the enhancement of the oxidation occurring on the MIP/rGO composite following the rebinding of the target molecules. After optimization, the sensor was capable of accurately detecting uric acid and tyrosine within a concentration range of 0.01–100 μM and 0.1–400 μM, respectively. In addition, detection limits of 3.2 nM and 46 nM were obtained for uric acid and tyrosine, respectively. Furthermore, the applicability of the sensor to detect the target analytes in serum and urine samples was demonstrated. Also, an electrochemical sensor for the determination of bilirubin, a biomarker whose concentration levels might be an indicative guideline for recognizing numerous liver diseases, was studied [136]. The sensor fabrication was achieved by electrodeposition of poly(o-PDA) film on an MWCNT-modified GCE from a solution consisting of o-PDA and bilirubin as monomers and template molecules, respectively. Bilirubin imprints were formed after acetonitrile-acetic acid treatment, which led to the elution of the template molecules. DPV revealed that the sensor not only had an excellent wide measurement range (12.1–91.8 fM) and a low LOD (7.8 fM) but could also recognize bilirubin in real samples, including the saliva and serum of infants, maintaining an acceptable shelf-life in terms of stability and sensitivity for over 10 days.
Another important target biomarker for which MIP electrochemical sensors have been developed is glucose. The changes in glucose concentration in the body fluid have attracted continuous attention for several decades because they are a fundamental part of the management of diabetes mellitus, a complex metabolic disorder with a rapidly increasing prevalence in the global population. Hence, the quantitative monitoring of blood glucose is of clinical importance and could greatly reduce the risks of diabetes mellitus-induced complications [137]. Thus, glucose-selective MIP-based sensors can provide an alternative non-enzymatic platform offering simple, cost-effective, and sensitive glucose monitoring systems [138]. Altintas’ group recently reported on the electrochemical glucose sensor based on AuNPs-decorated MIP. The sensor could detect glucose in human serum in a wide concentration range (1.25 nM–2.56 μM) with a detection limit of 1.25 nM. Moreover, the sensor could preserve its stability for up to around 95% during a storage time of 40 days [138]. In another report, a MIP-based electrochemical glucose sensor integrated with AuNPs’ modified screen-printed carbon electrode was developed for the determination of glucose in saliva and blood samples [139]. Using aminophenyl boronic acid as the functional monomer, reversible recognition of the analyte via boronate ester formation was achieved. The potentiometric sensor exhibited linearity ranging from 32 nM to 1 μM, a detection limit of 19 nM, and satisfactory performance in saliva and blood samples. Similarly, a glucose MIP was immobilized on the Au surface of SPE by the formation of a non-conducting polyacrylamide film using acrylamide/bis-acrylamide as the functional monomer. The sensor shows a linear dynamic range of 0.5 to 50 μg mL−1 and a detection limit of 0.59 μg mL−1. Moreover, the sensor displayed high selectivity and an analytical performance comparable to that of a reference glucometer for the analysis of saliva and blood samples [140]. Additionally, an innovative approach was employed, utilizing laser-engraved graphene, redox-active nanoparticles, and MIP-based receptors for the fabrication of a wearable electrochemical sensor. This sensor, equipped with in situ regeneration and self-calibration routines, enables real-time monitoring of trace levels of various biomarkers in human sweat, including essential amino acids, vitamins, metabolites, and lipids [141]. Other recent publications on the detection of other biomarkers (not covered in this section) by electrosynthesized MIP-based sensors are included in Table 1.

4. Conclusions and Future Perspectives

The availability of rapid and selective sensors is critical to the efficient running of the healthcare system and the early diagnosis of diseases. Molecular imprinting provides an attractive technique to create robust biomimetic recognition sites on sensor transducers that are adaptable for the targeted detection of disease biomarkers. Considering the biological origin of the target molecules, molecular imprinting by electropolymerization is highly advantageous since it allows MIP synthesis in mild conditions, e.g., aqueous media and room temperature. In this review, we assessed the diagnostic potential of electrosynthesized MIP-based sensors for various diseases by examining significant studies in the field. Particular attention was given to disorders such as cancer, cardiovascular, inflammatory, neurological, and infectious diseases due to their prevalence.
Analysis of the reviewed reports shows that most MIP-based sensors for healthcare applications utilized electrochemical transducers, mainly screen-printed and glassy carbon electrodes, integrated with a MIP film obtained mostly from the electrosynthesis of pyrrole as well as aniline derivatives. Such combinations are indicative of the potential of electrochemical transducers as the most suitable elements for the development of POCT devices. Moreover, the popular choice of pyrrole as the functional monomer for biomolecular targets is predictive since pyrrole presents excellent biocompatibility and ease of immobilization with different bioactive compounds [21]. The sensors evaluated in this review demonstrated sensitive and selective recognition of disease biomarkers and affirmed an obvious priority, namely, stability, over those equipped with natural recognition elements. Also, the applicability of the developed sensors in the intended biological matrices and at relevant concentration levels was established. Thus, the performance of electrosynthesized MIP-based sensors is attractive for the development of POCT devices for probing the onset or advancement of several diseases.
Although molecular imprinting technology has been around for more than two decades, the commercialization of MIP-based sensors still lags behind in comparison to sensors based on biological receptors [142]. The main bottleneck is the large-scale production of homogenous, high-affinity MIPs. However, a breakthrough solution, which was proposed by MIP Diagnostics Ltd. and pioneered by Piletsky’s group [143], focuses on MIP development using the solid-phase imprinting approach to producing high-affinity nanoparticles (nanoMIPs). Although, so far, a successful application of the nanoMIPs in combination with different sensor platforms for analyte detection has been reported [144,145], their robust integration with transducers still needs to be validated. Another issue in MIP large-scale production concerns protein imprinting since it requires a large amount of the template and its inherent costs. The epitope imprinting and solid-phase synthesis approaches could provide alternative strategies for cost-efficient protein-selective MIP fabrication.
Herein, we consider electrosynthesis to be an unparalleled route for accelerating the achievement of scalable mass production of MIP-equipped diagnostic devices. Firstly, electropolymerization could be classified as a green strategy for MIP synthesis due to the accommodation of mild synthesis conditions such as aqueous media, room temperature, and the elimination of toxic external initiators. Given the increasing concern for climate change and the demand for a greener world, the adoption of electrochemical synthesis within the MIP research community is expected to continue to expand. Moreover, development in sensor technology over the years has allowed for the mass production of low-cost, multiplex sensor elements, including SPEs and paper-based transducers that are compatible with electrochemical synthesis and analysis. Such elements, when combined with miniaturized electrochemical devices, e.g., a portable potentiostat driven by software on a mobile phone, could unlock a new route for the development of a valuable alternative diagnostic platform for the rapid screening of diseases. In fact, a breakthrough in this regard could engender the birth of smart, personalized medicine, where a preliminary screening conducted in the comfort of patients’ homes could be accessed directly and evaluated by the medical practitioner prior to the scheduled visit.
Although the difficulties of mass MIP production using electrosynthesis could be raised, we envision that engaging, for example, a microelectrospotting approach introduced by Gyurcsányi’s group [146] as a high-throughput method for the preparation of protein-selective MIP microarrays could be beneficial to circumvent such difficulties. In addition, the method matches the thrifty consumption of chemicals, which is especially advantageous in the case of protein templates. Moreover, microelectrospotting can also offer a means for multiplexed readout of MIP arrays, providing the possibility for rapid screening [147].
Furthermore, the potential for MIP-based sensors in wearable applications is substantial, converging electronics, materials science, and nanotechnology to create exceptionally effective, adaptable, and user-friendly systems for real-time and personalized monitoring. Modern, non-invasive devices for the real-time study of disease biomarkers may become possible by integrating MIPs with cutting-edge microfluidic chip technology, signal processing, and transmission electronics [141]. As technology progresses, this approach is likely to lead to more widely accessible and extensively used sensing applications. This strategy has already been applied in the detection of cortisol, a human stress hormone, and in glucose level monitoring [148,149].
In summary, there is enormous scope for the use of electrosynthesized MIPs as receptor layers for healthcare diagnostics. Currently, such layers, in combination with various sensor platforms, have demonstrated the capacity for sensitive and selective identification of biomarkers for many diseases at relevant concentration ranges, thus facilitating an early-stage diagnosis of a disease condition, thereby improving the quality of life and prolonging lifespan.

Author Contributions

Conceptualization: A.G.A., J.R. and V.S.; writing—original draft preparation: A.G.A. and J.R.; writing—review and editing: A.G.A., J.R. and V.S.; visualization: A.G.A., J.R. and V.S.; supervision: V.S.; project administration: V.S.; funding acquisition: V.S. All authors have read and agreed to the published version of the manuscript.

Funding

The authors of this review are grateful to the Estonian Research Council (grants PRG307 and PRG2113) for financial support of this work.

Data Availability Statement

No new data were created or analyzed in this study. Data sharing is not applicable to this article.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Lin, P.-H.; Sheu, S.-C.; Chen, C.-W.; Huang, S.-C.; Li, B.-R. Wearable hydrogel patch with noninvasive, electrochemical glucose sensor for natural sweat detection. Talanta 2022, 241, 123187. [Google Scholar] [CrossRef]
  2. Tu, J.; Torrente-Rodríguez, R.M.; Wang, M.; Gao, W. The Era of Digital Health: A Review of Portable and Wearable Affinity Biosensors. Adv. Funct. Mater. 2020, 30, 1906713. [Google Scholar] [CrossRef]
  3. Lin, Z.-T.; DeMarr, V.; Bao, J.; Wu, T. Molecularly Imprinted Polymer-Based Biosensors: For the Early, Rapid Detection of Pathogens, Biomarkers, and Toxins in Clinical, Environmental, or Food Samples. IEEE Nanotechnol. Mag. 2018, 12, 6–13. [Google Scholar] [CrossRef]
  4. Sande, M.G.; Rodrigues, J.L.; Ferreira, D.; Silva, C.J.; Rodrigues, L.R. Novel Biorecognition Elements against Pathogens in the Design of State-of-the-Art Diagnostics. Biosensors 2021, 11, 418. [Google Scholar] [CrossRef]
  5. Cieplak, M.; Kutner, W. Artificial Biosensors: How Can Molecular Imprinting Mimic Biorecognition? Trends Biotechnol. 2016, 34, 922–941. [Google Scholar] [CrossRef]
  6. Ayankojo, A.G.; Reut, J.; Öpik, A.; Tretjakov, A.; Syritski, V. Enhancing binding properties of imprinted polymers for the detection of small molecules. Proc. Est. Acad. Sci. 2018, 67, 138. [Google Scholar] [CrossRef]
  7. Xu, J.; Miao, H.; Wang, J.; Pan, G. Molecularly Imprinted Synthetic Antibodies: From Chemical Design to Biomedical Applications. Small 2020, 16, 1906644. [Google Scholar] [CrossRef]
  8. Ye, L.; Mosbach, K. Molecular Imprinting: Synthetic Materials as Substitutes for Biological Antibodies and Receptors. Chem. Mater. 2008, 20, 859–868. [Google Scholar] [CrossRef]
  9. Afzal, A.; Mujahid, A.; Schirhagl, R.; Bajwa, S.Z.; Latif, U.; Feroz, S. Gravimetric Viral Diagnostics: QCM Based Biosensors for Early Detection of Viruses. Chemosensors 2017, 5, 7. [Google Scholar] [CrossRef]
  10. Nishitani, S.; Sakata, T.; Kajisa, T. Molecularly imprinted polymer-based FET biosensor for oligosaccharides sensing to target cancer cells. In Proceedings of the 2016 IEEE Biomedical Circuits and Systems Conference (BioCAS), Shanghai, China, 17–19 October 2016; pp. 30–33. [Google Scholar] [CrossRef]
  11. Ertürk, G.; Özen, H.; Tümer, M.A.; Mattiasson, B.; Denizli, A. Microcontact imprinting based surface plasmon resonance (SPR) biosensor for real-time and ultrasensitive detection of prostate specific antigen (PSA) from clinical samples. Sens. Actuators B Chem. 2016, 224, 823–832. [Google Scholar] [CrossRef]
  12. Ahmad, O.S.; Bedwell, T.S.; Esen, C.; Garcia-Cruz, A.; Piletsky, S.A. Molecularly Imprinted Polymers in Electrochemical and Optical Sensors. Trends Biotechnol. 2019, 37, 294–309. [Google Scholar] [CrossRef]
  13. Kidakova, A.; Reut, J.; Rappich, J.; Öpik, A.; Syritski, V. Preparation of a surface-grafted protein-selective polymer film by combined use of controlled/living radical photopolymerization and microcontact imprinting. React. Funct. Polym. 2018, 125, 47–56. [Google Scholar] [CrossRef]
  14. Mazzotta, E.; Turco, A.; Chianella, I.; Guerreiro, A.; Piletsky, S.A.; Malitesta, C. Solid-phase synthesis of electroactive nanoparticles of molecularly imprinted polymers. A novel platform for indirect electrochemical sensing applications. Sens. Actuators B Chem. 2016, 229, 174–180. [Google Scholar] [CrossRef]
  15. Canfarotta, F.; Czulak, J.; Betlem, K.; Sachdeva, A.; Eersels, K.; van Grinsven, B.; Cleij, T.J.; Peeters, M. A novel thermal detection method based on molecularly imprinted nanoparticles as recognition elements. Nanoscale 2018, 10, 2081–2089. [Google Scholar] [CrossRef]
  16. Mujahid, A.; Lieberzeit, P.A.; Dickert, F.L. Chemical Sensors Based on Molecularly Imprinted Sol-Gel Materials. Materials 2010, 3, 2196–2217. [Google Scholar] [CrossRef]
  17. Ayankojo, A.G.; Reut, J.; Öpik, A.; Furchner, A.; Syritski, V. Hybrid molecularly imprinted polymer for amoxicillin detection. Biosens. Bioelectron. 2018, 118, 102–107. [Google Scholar] [CrossRef]
  18. Malitesta, C.; Mazzotta, E.; Picca, R.A.; Poma, A.; Chianella, I.; Piletsky, S.A. MIP sensors—The electrochemical approach. Anal. Bioanal. Chem. 2012, 402, 1827–1846. [Google Scholar] [CrossRef]
  19. Ayankojo, A.G.; Reut, J.; Ciocan, V.; Öpik, A.; Syritski, V. Molecularly imprinted polymer-based sensor for electrochemical detection of erythromycin. Talanta 2020, 209, 120502. [Google Scholar] [CrossRef]
  20. Nguyen, V.B.C.; Ayankojo, A.G.; Reut, J.; Rappich, J.; Furchner, A.; Hinrichs, K.; Syritski, V. Molecularly imprinted co-polymer for class-selective electrochemical detection of macrolide antibiotics in aqueous media. Sens. Actuators B Chem. 2023, 374, 132768. [Google Scholar] [CrossRef]
  21. Sharma, P.S.; Pietrzyk-Le, A.; D’Souza, F.; Kutner, W. Electrochemically synthesized polymers in molecular imprinting for chemical sensing. Anal. Bioanal. Chem. 2012, 402, 3177–3204. [Google Scholar] [CrossRef]
  22. Erdőssy, J.; Horváth, V.; Yarman, A.; Scheller, F.W.; Gyurcsányi, R.E. Electrosynthesized molecularly imprinted polymers for protein recognition. TrAC Trends Anal. Chem. 2016, 79, 179–190. [Google Scholar] [CrossRef]
  23. Crapnell, R.D.; Hudson, A.; Foster, C.W.; Eersels, K.; van Grinsven, B.; Cleij, T.J.; Banks, C.E.; Peeters, M. Recent Advances in Electrosynthesized Molecularly Imprinted Polymer Sensing Platforms for Bioanalyte Detection. Sensors 2019, 19, 1204. [Google Scholar] [CrossRef]
  24. Ramanavičius, S.; Morkvėnaitė-Vilkončienė, I.; Samukaitė-Bubnienė, U.; Ratautaitė, V.; Plikusienė, I.; Viter, R.; Ramanavičius, A. Electrochemically Deposited Molecularly Imprinted Polymer-Based Sensors. Sensors 2022, 22, 1282. [Google Scholar] [CrossRef]
  25. Ramanavicius, S.; Samukaite-Bubniene, U.; Ratautaite, V.; Bechelany, M.; Ramanavicius, A. Electrochemical molecularly imprinted polymer based sensors for pharmaceutical and biomedical applications (review). J. Pharm. Biomed. Anal. 2022, 215, 114739. [Google Scholar] [CrossRef]
  26. Gonçalves, L.M. Electropolymerized molecularly imprinted polymers: Perceptions based on recent literature for soon-to-be world-class scientists. Curr. Opin. Electrochem. 2021, 25, 100640. [Google Scholar] [CrossRef]
  27. Tretjakov, A.; Syritski, V.; Reut, J.; Boroznjak, R.; Volobujeva, O.; Öpik, A. Surface molecularly imprinted polydopamine films for recognition of immunoglobulin G. Microchim. Acta 2013, 180, 1433–1442. [Google Scholar] [CrossRef]
  28. Moreira, F.T.C.; Sharma, S.; Dutra, R.A.F.; Noronha, J.P.C.; Cass, A.E.G.; Sales, M.G.F. Protein-responsive polymers for point-of-care detection of cardiac biomarker. Sens. Actuators B Chem. 2014, 196, 123–132. [Google Scholar] [CrossRef]
  29. Turco, A.; Corvaglia, S.; Mazzotta, E. Electrochemical sensor for sulfadimethoxine based on molecularly imprinted polypyrrole: Study of imprinting parameters. Biosens. Bioelectron. 2015, 63, 240–247. [Google Scholar] [CrossRef]
  30. Nicholls, I.A.; Golker, K.; Olsson, G.D.; Suriyanarayanan, S.; Wiklander, J.G. The Use of Computational Methods for the Development of Molecularly Imprinted Polymers. Polymers 2021, 13, 2841. [Google Scholar] [CrossRef]
  31. Rajpal, S.; Mishra, P.; Mizaikoff, B. Rational In Silico Design of Molecularly Imprinted Polymers: Current Challenges and Future Potential. Int. J. Mol. Sci. 2023, 24, 6785. [Google Scholar] [CrossRef]
  32. Syritski, V.; Reut, J.; Menaker, A.; Gyurcsányi, R.E.; Öpik, A. Electrosynthesized molecularly imprinted polypyrrole films for enantioselective recognition of l-aspartic acid. Electrochim. Acta 2008, 53, 2729–2736. [Google Scholar] [CrossRef]
  33. Ciriello, R.; Graziano, M.; Bianco, G.; Guerrieri, A. Electrosynthesized Poly(o-aminophenol) Films as Biomimetic Coatings for Dopamine Detection on Pt Substrates. Chemosensors 2021, 9, 280. [Google Scholar] [CrossRef]
  34. Huang, F.; Zhu, B.; Zhang, H.; Gao, Y.; Ding, C.; Tan, H.; Li, J. A glassy carbon electrode modified with molecularly imprinted poly(aniline boronic acid) coated onto carbon nanotubes for potentiometric sensing of sialic acid. Microchim. Acta 2019, 186, 270. [Google Scholar] [CrossRef]
  35. Chen, X.; Li, D.; Ma, W.; Yang, T.; Zhang, Y.; Zhang, D. Preparation of a glassy carbon electrode modified with reduced graphene oxide and overoxidized electropolymerized polypyrrole, and its application to the determination of dopamine in the presence of ascorbic acid and uric acid. Microchim. Acta 2019, 186, 407. [Google Scholar] [CrossRef]
  36. Nguy, T.P.; Van Phi, T.; Tram, D.T.N.; Eersels, K.; Wagner, P.; Lien, T.T.N. Development of an impedimetric sensor for the label-free detection of the amino acid sarcosine with molecularly imprinted polymer receptors. Sens. Actuators B Chem. 2017, 246, 461–470. [Google Scholar] [CrossRef]
  37. Beluomini, M.A.; da Silva, J.L.; de Sá, A.C.; Buffon, E.; Pereira, T.C.; Stradiotto, N.R. Electrochemical sensors based on molecularly imprinted polymer on nanostructured carbon materials: A review. J. Electroanal. Chem. 2019, 840, 343–366. [Google Scholar] [CrossRef]
  38. Yarman, A.; Kurbanoglu, S.; Zebger, I.; Scheller, F.W. Simple and robust: The claims of protein sensing by molecularly imprinted polymers. Sens. Actuators B Chem. 2021, 330, 129369. [Google Scholar] [CrossRef]
  39. Moreira, F.T.C.; Ferreira, M.J.M.S.; Puga, J.R.T.; Sales, M.G.F. Screen-printed electrode produced by printed-circuit board technology. Application to cancer biomarker detection by means of plastic antibody as sensing material. Sens. Actuators B Chem. 2016, 223, 927–935. [Google Scholar] [CrossRef]
  40. Ribeiro, J.A.; Pereira, C.M.; Silva, A.F.; Sales, M.G.F. Disposable electrochemical detection of breast cancer tumour marker CA 15-3 using poly(Toluidine Blue) as imprinted polymer receptor. Biosens. Bioelectron. 2018, 109, 246–254. [Google Scholar] [CrossRef]
  41. Moncer, F.; Adhoum, N.; Catak, D.; Monser, L. Electrochemical sensor based on MIP for highly sensitive detection of 5-hydroxyindole-3-acetic acid carcinoid cancer biomarker in human biological fluids. Anal. Chim. Acta 2021, 1181, 338925. [Google Scholar] [CrossRef]
  42. Eersels, K.; Lieberzeit, P.; Wagner, P. A Review on Synthetic Receptors for Bioparticle Detection Created by Surface-Imprinting Techniques—From Principles to Applications. ACS Sens. 2016, 1, 1171–1187. [Google Scholar] [CrossRef]
  43. Dong, C.; Shi, H.; Han, Y.; Yang, Y.; Wang, R.; Men, J. Molecularly imprinted polymers by the surface imprinting technique. Eur. Polym. J. 2021, 145, 110231. [Google Scholar] [CrossRef]
  44. Kidakova, A.; Boroznjak, R.; Reut, J.; Öpik, A.; Saarma, M.; Syritski, V. Molecularly imprinted polymer-based SAW sensor for label-free detection of cerebral dopamine neurotrophic factor protein. Sens. Actuators B Chem. 2020, 308, 127708. [Google Scholar] [CrossRef]
  45. Ayankojo, A.G.; Boroznjak, R.; Reut, J.; Tuvikene, J.; Timmusk, T.; Syritski, V. Electrochemical sensor based on molecularly imprinted polymer for rapid quantitative detection of brain-derived neurotrophic factor. Sens. Actuators B Chem. 2023, 397, 134656. [Google Scholar] [CrossRef]
  46. Raziq, A.; Kidakova, A.; Boroznjak, R.; Reut, J.; Öpik, A.; Syritski, V. Development of a portable MIP-based electrochemical sensor for detection of SARS-CoV-2 antigen. Biosens. Bioelectron. 2021, 178, 113029. [Google Scholar] [CrossRef]
  47. Ayankojo, A.G.; Boroznjak, R.; Reut, J.; Öpik, A.; Syritski, V. Molecularly imprinted polymer based electrochemical sensor for quantitative detection of SARS-CoV-2 spike protein. Sens. Actuators B Chem. 2022, 353, 131160. [Google Scholar] [CrossRef]
  48. Dabrowski, M.; Cieplak, M.; Sharma, P.S.; Borowicz, P.; Noworyta, K.; Lisowski, W.; D’Souza, F.; Kuhn, A.; Kutner, W. Hierarchical templating in deposition of semi-covalently imprinted inverse opal polythiophene film for femtomolar determination of human serum albumin. Biosens. Bioelectron. 2017, 94, 155–161. [Google Scholar] [CrossRef]
  49. Dąbrowski, M.; Zimińska, A.; Kalecki, J.; Cieplak, M.; Lisowski, W.; Maksym, R.; Shao, S.; D’Souza, F.; Kuhn, A.; Sharma, P.S. Facile Fabrication of Surface-Imprinted Macroporous Films for Chemosensing of Human Chorionic Gonadotropin Hormone. ACS Appl. Mater. Interfaces 2019, 11, 9265–9276. [Google Scholar] [CrossRef]
  50. Yang, K.; Li, S.; Liu, L.; Chen, Y.; Zhou, W.; Pei, J.; Liang, Z.; Zhang, L.; Zhang, Y. Epitope Imprinting Technology: Progress, Applications, and Perspectives toward Artificial Antibodies. Adv. Mater. 2019, 31, 1902048. [Google Scholar] [CrossRef]
  51. Teixeira, S.P.B.; Reis, R.L.; Peppas, N.A.; Gomes, M.E.; Domingues, R.M.A. Epitope-imprinted polymers: Design principles of synthetic binding partners for natural biomacromolecules. Sci. Adv. 2021, 7, eabi9884. [Google Scholar] [CrossRef]
  52. Altintas, Z.; Takiden, A.; Utesch, T.; Mroginski, M.A.; Schmid, B.; Scheller, F.W.; Süssmuth, R.D. Integrated Approaches toward High-Affinity Artificial Protein Binders Obtained via Computationally Simulated Epitopes for Protein Recognition. Adv. Funct. Mater. 2019, 29, 1807332. [Google Scholar] [CrossRef]
  53. Drzazgowska, J.; Schmid, B.; Süssmuth, R.D.; Altintas, Z. Self-Assembled Monolayer Epitope Bridges for Molecular Imprinting and Cancer Biomarker Sensing. Anal. Chem. 2020, 92, 4798–4806. [Google Scholar] [CrossRef]
  54. Ferlay, J.; Ervik, M.; Lam, F.; Colombet, M.; Mery, L.; Piñeros, M.; Znaor, A.; Soerjomataram, I.; Bray, F. Global Cancer Observatory: Cancer Today. In Cancer Today; International Agency for Research on Cancer: Lyon, France, 2020; Available online: https://gco.iarc.fr/today (accessed on 17 March 2022).
  55. Sung, H.; Ferlay, J.; Siegel, R.L.; Laversanne, M.; Soerjomataram, I.; Jemal, A.; Bray, F. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA. Cancer J. Clin. 2021, 71, 209–249. [Google Scholar] [CrossRef]
  56. Selvolini, G.; Marrazza, G. MIP-Based Sensors: Promising New Tools for Cancer Biomarker Determination. Sensors 2017, 17, 718. [Google Scholar] [CrossRef]
  57. Pilvenyte, G.; Ratautaite, V.; Boguzaite, R.; Ramanavicius, A.; Viter, R.; Ramanavicius, S. Molecularly Imprinted Polymers for the Determination of Cancer Biomarkers. Int. J. Mol. Sci. 2023, 24, 4105. [Google Scholar] [CrossRef]
  58. Hall, C.; Clarke, L.; Pal, A.; Buchwald, P.; Eglinton, T.; Wakeman, C.; Frizelle, F. A Review of the Role of Carcinoembryonic Antigen in Clinical Practice. Ann. Coloproctol. 2019, 35, 294–305. [Google Scholar] [CrossRef]
  59. Kuo, Y.-S.; Zheng, M.-Y.; Huang, M.-F.; Miao, C.-C.; Yang, L.-H.; Huang, T.-W.; Chou, Y.-T. Association of Divergent Carcinoembryonic Antigen Patterns and Lung Cancer Progression. Sci. Rep. 2020, 10, 2066. [Google Scholar] [CrossRef]
  60. Molina, R.; Auge, J.M.; Farrus, B.; Zanón, G.; Pahisa, J.; Muñoz, M.; Torne, A.; Filella, X.; Escudero, J.M.; Fernandez, P.; et al. Prospective Evaluation of Carcinoembryonic Antigen (CEA) and Carbohydrate Antigen 15.3 (CA 15.3) in Patients with Primary Locoregional Breast Cancer. Clin. Chem. 2010, 56, 1148–1157. [Google Scholar] [CrossRef]
  61. Lin, J.-P.; Lin, J.-X.; Ma, Y.-B.; Xie, J.-W.; Yan, S.; Wang, J.-B.; Lu, J.; Chen, Q.-Y.; Ma, X.-F.; Cao, L.-L.; et al. Prognostic significance of pre- and post-operative tumour markers for patients with gastric cancer. Br. J. Cancer 2020, 123, 418–425. [Google Scholar] [CrossRef]
  62. Moussa, F.B. Molecularly imprinted polymers meet electrochemical cancer chemosensors: A critical review from a clinical and economic perspective. Microchem. J. 2023, 191, 108838. [Google Scholar] [CrossRef]
  63. Tavares, A.P.M.; Truta, L.A.A.N.A.; Moreira, F.T.C.; Carneiro, L.P.T.; Sales, M.G.F. Self-powered and self-signalled autonomous electrochemical biosensor applied to cancinoembryonic antigen determination. Biosens. Bioelectron. 2019, 140, 111320. [Google Scholar] [CrossRef]
  64. Qi, J.; Li, B.; Zhou, N.; Wang, X.; Deng, D.; Luo, L.; Chen, L. The strategy of antibody-free biomarker analysis by in-situ synthesized molecularly imprinted polymers on movable valve paper-based device. Biosens. Bioelectron. 2019, 142, 111533. [Google Scholar] [CrossRef]
  65. Henry, N.L.; Hayes, D.F. Cancer biomarkers. Mol. Oncol. 2012, 6, 140–146. [Google Scholar] [CrossRef]
  66. Charkhchi, P.; Cybulski, C.; Gronwald, J.; Wong, F.O.; Narod, S.A.; Akbari, M.R. CA125 and Ovarian Cancer: A Comprehensive Review. Cancers 2020, 12, 3730. [Google Scholar] [CrossRef]
  67. Pacheco, J.G.; Silva, M.S.V.; Freitas, M.; Nouws, H.P.A.; Delerue-Matos, C. Molecularly imprinted electrochemical sensor for the point-of-care detection of a breast cancer biomarker (CA 15-3). Sens. Actuators B Chem. 2018, 256, 905–912. [Google Scholar] [CrossRef]
  68. Lahcen, A.A.; Rauf, S.; Aljedaibi, A.; de Oliveira Filho, J.I.; Beduk, T.; Mani, V.; Alshareef, H.N.; Salama, K.N. Laser-scribed graphene sensor based on gold nanostructures and molecularly imprinted polymers: Application for Her-2 cancer biomarker detection. Sens. Actuators B Chem. 2021, 347, 130556. [Google Scholar] [CrossRef]
  69. Ferrigno, D.; Buccheri, G.; Giordano, C. Neuron-specific enolase is an effective tumour marker in non-small cell lung cancer (NSCLC). Lung Cancer 2003, 41, 311–320. [Google Scholar] [CrossRef]
  70. Isgrò, M.A.; Bottoni, P.; Scatena, R. Neuron-Specific Enolase as a Biomarker: Biochemical and Clinical Aspects. In Advances in Cancer Biomarkers; Scatena, R., Ed.; Springer: Dordrecht, The Netherlands, 2015; pp. 125–143. [Google Scholar] [CrossRef]
  71. Tchinda, R.; Tutsch, A.; Schmid, B.; Süssmuth, R.D.; Altintas, Z. Recognition of protein biomarkers using epitope-mediated molecularly imprinted films: Histidine or cysteine modified epitopes? Biosens. Bioelectron. 2019, 123, 260–268. [Google Scholar] [CrossRef]
  72. Pirzada, M.; Sehit, E.; Altintas, Z. Cancer biomarker detection in human serum samples using nanoparticle decorated epitope-mediated hybrid MIP. Biosens. Bioelectron. 2020, 166, 112464. [Google Scholar] [CrossRef]
  73. O’Toole, D.; Grossman, A.; Gross, D.; Fave, G.D.; Barkmanova, J.; O’Connor, J.; Pape, U.-F.; Plöckinger, U. ENETS Consensus Guidelines for the Standards of Care in Neuroendocrine Tumors: Biochemical Markers. Neuroendocrinology 2009, 90, 194–202. [Google Scholar] [CrossRef]
  74. Antenor, J.A.V.; Han, M.; Roehl, K.A.; Nadler, R.B.; Catalona, W.J. Relationship between initial prostate specific antigen level and subsequent prostate cancer detection in a longitudinal screening study. J. Urol. 2004, 172, 90–93. [Google Scholar] [CrossRef]
  75. Wang, Y.; Kan, X. Sensitive and selective “signal-off” electrochemiluminescence sensing of prostate-specific antigen based on an aptamer and molecularly imprinted polymer. Analyst 2021, 146, 7693–7701. [Google Scholar] [CrossRef]
  76. Lucarelli, G.; Fanelli, M.; Larocca, A.M.V.; Germinario, C.A.; Rutigliano, M.; Vavallo, A.; Selvaggi, F.P.; Bettocchi, C.; Battaglia, M.; Ditonno, P. Serum sarcosine increases the accuracy of prostate cancer detection in patients with total serum PSA less than 4.0 ng/mL. Prostate 2012, 72, 1611–1621. [Google Scholar] [CrossRef]
  77. Khan, A.P.; Rajendiran, T.M.; Bushra, A.; Asangani, I.A.; Athanikar, J.N.; Yocum, A.K.; Mehra, R.; Siddiqui, J.; Palapattu, G.; Wei, J.T.; et al. The Role of Sarcosine Metabolism in Prostate Cancer Progression. Neoplasia 2013, 15, 491-IN13. [Google Scholar] [CrossRef]
  78. Carneiro, L.P.T.; Ferreira, N.S.; Tavares, A.P.M.; Pinto, A.M.F.R.; Mendes, A.; Sales, M.G.F. A passive direct methanol fuel cell as transducer of an electrochemical sensor, applied to the detection of carcinoembryonic antigen. Biosens. Bioelectron. 2021, 175, 112877. [Google Scholar] [CrossRef]
  79. Lai, Y.; Deng, Y.; Yang, G.; Li, S.; Zhang, C.; Liu, X. Molecular Imprinting Polymers Electrochemical Sensor Based on AuNPs/PTh Modified GCE for Highly Sensitive Detection of Carcinomaembryonic Antigen. J. Biomed. Nanotechnol. 2018, 14, 1688–1694. [Google Scholar] [CrossRef]
  80. Carneiro, M.C.C.G.; Sousa-Castillo, A.; Correa-Duarte, M.A.; Sales, M.G.F. Dual biorecognition by combining molecularly-imprinted polymer and antibody in SERS detection. Application to carcinoembryonic antigen. Biosens. Bioelectron. 2019, 146, 111761. [Google Scholar] [CrossRef] [PubMed]
  81. Gomes, R.S.; Moreira, F.T.C.; Fernandes, R.; Sales, M.G.F. Sensing CA 15-3 in point-of-care by electropolymerizing O-phenylenediamine (oPDA) on Au-screen printed electrodes. PLoS ONE 2018, 13, e0196656. [Google Scholar] [CrossRef] [PubMed]
  82. Oliveira, A.E.F.; Pereira, A.C.; Ferreira, L.F. Disposable electropolymerized molecularly imprinted electrochemical sensor for determination of breast cancer biomarker CA 15-3 in human serum samples. Talanta 2023, 252, 123819. [Google Scholar] [CrossRef] [PubMed]
  83. Karimian, N.; Vagin, M.; Zavar, M.H.A.; Chamsaz, M.; Turner, A.P.F.; Tiwari, A. An ultrasensitive molecularly-imprinted human cardiac troponin sensor. Biosens. Bioelectron. 2013, 50, 492–498. [Google Scholar] [CrossRef] [PubMed]
  84. Kan, X.; Zhou, H.; Li, C.; Zhu, A.; Xing, Z.; Zhao, Z. Imprinted electrochemical sensor for dopamine recognition and determination based on a carbon nanotube/polypyrrole film. Electrochim. Acta 2012, 63, 69–75. [Google Scholar] [CrossRef]
  85. Kumar, M.D.; Karthikeyan, M.; Sharma, N.; Raju, V.; Vatsalarani, J.; Kalivendi, S.V.; Karunakaran, C. Molecular imprinting synthetic receptor based sensor for determination of Parkinson’s disease biomarker DJ-1. Microchem. J. 2022, 183, 107959. [Google Scholar] [CrossRef]
  86. Antipchik, M.; Reut, J.; Ayankojo, A.G.; Öpik, A.; Syritski, V. MIP-based electrochemical sensor for direct detection of hepatitis C virus via E2 envelope protein. Talanta 2022, 250, 123737. [Google Scholar] [CrossRef] [PubMed]
  87. Sharif, H.F.E.L.; Dennison, S.R.; Tully, M.; Crossley, S.; Mwangi, W.; Bailey, D.; Graham, S.P.; Reddy, S.M. Evaluation of electropolymerized molecularly imprinted polymers (E-MIPs) on disposable electrodes for detection of SARS-CoV-2 in saliva. Anal. Chim. Acta 2022, 1206, 339777. [Google Scholar] [CrossRef] [PubMed]
  88. Karaman, C.; Karaman, O.; Atar, N.; Yola, M.L. A molecularly imprinted electrochemical biosensor based on hierarchical Ti2Nb10O29 (TNO) for glucose detection. Microchim. Acta 2022, 189, 24. [Google Scholar] [CrossRef] [PubMed]
  89. Martins, G.V.; Marques, A.C.; Fortunato, E.; Sales, M.G.F. Paper-based (bio)sensor for label-free detection of 3-nitrotyrosine in human urine samples using molecular imprinted polymer. Sens. Bio-Sens. Res. 2020, 28, 100333. [Google Scholar] [CrossRef]
  90. Wang, S.; Sun, G.; Chen, Z.; Liang, Y.; Zhou, Q.; Pan, Y.; Zhai, H. Constructing a novel composite of molecularly imprinted polymer-coated AuNPs electrochemical sensor for the determination of 3-nitrotyrosine. Electrochim. Acta 2018, 259, 893–902. [Google Scholar] [CrossRef]
  91. Zaryanov, N.V.; Nikitina, V.N.; Karpova, E.V.; Karyakina, E.E.; Karyakin, A.A. Nonenzymatic Sensor for Lactate Detection in Human Sweat. Anal. Chem. 2017, 89, 11198–11202. [Google Scholar] [CrossRef]
  92. Rohani, F.G.; Mohadesi, A.; Ansari, M. A new diosgenin sensor based on molecularly imprinted polymer of para aminobenzoic acid selected by computer-aided design. J. Pharm. Biomed. Anal. 2019, 174, 552–560. [Google Scholar] [CrossRef]
  93. Wong, Y.-K.; Tse, H.-F. Circulating Biomarkers for Cardiovascular Disease Risk Prediction in Patients With Cardiovascular Disease. Front. Cardiovasc. Med. 2021, 8, 713191. [Google Scholar] [CrossRef]
  94. Regan, B.; Boyle, F.; O’Kennedy, R.; Collins, D. Evaluation of Molecularly Imprinted Polymers for Point-of-Care Testing for Cardiovascular Disease. Sensors 2019, 19, 3485. [Google Scholar] [CrossRef]
  95. Park, K.C.; Gaze, D.C.; Collinson, P.O.; Marber, M.S. Cardiac troponins: From myocardial infarction to chronic disease. Cardiovasc. Res. 2017, 113, 1708–1718. [Google Scholar] [CrossRef]
  96. Mahajan, V.S.; Jarolim, P. How to Interpret Elevated Cardiac Troponin Levels. Circulation 2011, 124, 2350–2354. [Google Scholar] [CrossRef]
  97. Yola, M.L.; Atar, N. Development of cardiac troponin-I biosensor based on boron nitride quantum dots including molecularly imprinted polymer. Biosens. Bioelectron. 2019, 126, 418–424. [Google Scholar] [CrossRef]
  98. Baldoneschi, V.; Palladino, P.; Banchini, M.; Minunni, M.; Scarano, S. Norepinephrine as new functional monomer for molecular imprinting: An applicative study for the optical sensing of cardiac biomarkers. Biosens. Bioelectron. 2020, 157, 112161. [Google Scholar] [CrossRef]
  99. Phonklam, K.; Wannapob, R.; Sriwimol, W.; Thavarungkul, P.; Phairatana, T. A novel molecularly imprinted polymer PMB/MWCNTs sensor for highly-sensitive cardiac troponin T detection. Sens. Actuators B Chem. 2020, 308, 127630. [Google Scholar] [CrossRef]
  100. Lin, Y.-T.; Wang, L.-K.; Cheng, Y.-T.; Lee, C.-K.; Tsai, H.-E. Molecularly Imprinted Polymer/Anodic Aluminum Oxide Nanocomposite Sensing Electrode for Low-Concentration Troponin T Detection for Patient Monitoring Applications. ACS Sens. 2021, 6, 2429–2435. [Google Scholar] [CrossRef] [PubMed]
  101. Aldous, S.J. Cardiac biomarkers in acute myocardial infarction. Int. J. Cardiol. 2013, 164, 282–294. [Google Scholar] [CrossRef] [PubMed]
  102. Shumyantseva, V.V.; Bulko, T.V.; Sigolaeva, L.V.; Kuzikov, A.V.; Archakov, A.I. Electrosynthesis and binding properties of molecularly imprinted poly-o-phenylenediamine for selective recognition and direct electrochemical detection of myoglobin. Biosens. Bioelectron. 2016, 86, 330–336. [Google Scholar] [CrossRef]
  103. Shumyantseva, V.V.; Bulko, T.V.; Sigolaeva, L.V.; Kuzikov, A.V.; Pogodin, P.V.; Archakov, A.I. Molecular imprinting coupled with electrochemical analysis for plasma samples classification in acute myocardial infarction diagnostic. Biosens. Bioelectron. 2018, 99, 216–222. [Google Scholar] [CrossRef] [PubMed]
  104. Kinney, J.W.; Bemiller, S.M.; Murtishaw, A.S.; Leisgang, A.M.; Salazar, A.M.; Lamb, B.T. Inflammation as a central mechanism in Alzheimer’s disease. Alzheimers Dement. Transl. Res. Clin. Interv. 2018, 4, 575–590. [Google Scholar] [CrossRef] [PubMed]
  105. Gonçalves, M.d.L.; Truta, L.A.N.; Sales, M.G.F.; Moreira, F.T.C. Electrochemical Point-of Care (PoC) Determination of Interleukin-6 (IL-6) Using a Pyrrole (Py) Molecularly Imprinted Polymer (MIP) on a Carbon-Screen Printed Electrode (C-SPE). Anal. Lett. 2021, 54, 2611–2623. [Google Scholar] [CrossRef]
  106. Özcan, N.; Karaman, C.; Atar, N.; Karaman, O.; Yola, M.L. A Novel Molecularly Imprinting Biosensor Including Graphene Quantum Dots/Multi-Walled Carbon Nanotubes Composite for Interleukin-6 Detection and Electrochemical Biosensor Validation. ECS J. Solid State Sci. Technol. 2020, 9, 121010. [Google Scholar] [CrossRef]
  107. Martins, G.V.; Riveiro, A.; Chiussi, S.; Sales, M.G.F. Flexible sensing devices integrating molecularly-imprinted polymers for the detection of 3-nitrotyrosine biomarker. Biosens. Bioelectron. X 2022, 10, 100107. [Google Scholar] [CrossRef]
  108. Frijhoff, J.; Winyard, P.G.; Zarkovic, N.; Davies, S.S.; Stocker, R.; Cheng, D.; Knight, A.R.; Taylor, E.L.; Oettrich, J.; Ruskovska, T.; et al. Clinical Relevance of Biomarkers of Oxidative Stress. Antioxid. Redox Signal. 2015, 23, 1144–1170. [Google Scholar] [CrossRef] [PubMed]
  109. Thakur, K.T.; Albanese, E.; Giannakopoulos, P.; Jette, N.; Linde, M.; Prince, M.J.; Steiner, T.J.; Dua, T. Neurological Disorders. In Mental, Neurological, and Substance Use Disorders: Disease Control Priorities, 3rd ed.; Patel, V., Chisholm, D., Dua, T., Laxminarayan, R., Medina-Mora, M.E., Eds.; The International Bank for Reconstruction and Development/The World Bank: Washington, DC, USA, 2016; Volume 4. Available online: http://www.ncbi.nlm.nih.gov/books/NBK361950/ (accessed on 1 April 2022).
  110. Pilvenyte, G.; Ratautaite, V.; Boguzaite, R.; Samukaite-Bubniene, U.; Plausinaitis, D.; Ramanaviciene, A.; Bechelany, M.; Ramanavicius, A. Molecularly imprinted polymers for the recognition of biomarkers of certain neurodegenerative diseases. J. Pharm. Biomed. Anal. 2023, 228, 115343. [Google Scholar] [CrossRef] [PubMed]
  111. Sheffler, Z.M.; Reddy, V.; Pillarisetty, L.S. Physiology, Neurotransmitters; StatPearls Publishing: Treasure Island, FL, USA, 2021; Available online: http://europepmc.org/abstract/MED/30969716 (accessed on 1 November 2023).
  112. Elugoke, S.E.; Adekunle, A.S.; Fayemi, O.E.; Akpan, E.D.; Mamba, B.B.; Sherif, E.-S.M.; Ebenso, E.E. Molecularly imprinted polymers (MIPs) based electrochemical sensors for the determination of catecholamine neurotransmitters—Review. Electrochem. Sci. Adv. 2021, 1, e2000026. [Google Scholar] [CrossRef]
  113. Yang, J.; Hu, Y.; Li, Y. Molecularly imprinted polymer-decorated signal on-off ratiometric electrochemical sensor for selective and robust dopamine detection. Biosens. Bioelectron. 2019, 135, 224–230. [Google Scholar] [CrossRef]
  114. Yola, M.L.; Atar, N. A novel detection approach for serotonin by graphene quantum dots/two-dimensional (2D) hexagonal boron nitride nanosheets with molecularly imprinted polymer. Appl. Surf. Sci. 2018, 458, 648–655. [Google Scholar] [CrossRef]
  115. Zaidi, S.A. Utilization of an environmentally-friendly monomer for an efficient and sustainable adrenaline imprinted electrochemical sensor using graphene. Electrochim. Acta 2018, 274, 370–377. [Google Scholar] [CrossRef]
  116. Stefanis, L. α-Synuclein in Parkinson’s Disease. Cold Spring Harb. Perspect. Med. 2012, 2, a009399. [Google Scholar] [CrossRef]
  117. Jack, C.R.; Bennett, D.A.; Blennow, K.; Carrillo, M.C.; Feldman, H.H.; Frisoni, G.B.; Hampel, H.; Jagust, W.J.; Johnson, K.A.; Knopman, D.S.; et al. A/T/N: An unbiased descriptive classification scheme for Alzheimer disease biomarkers. Neurology 2016, 87, 539–547. [Google Scholar] [CrossRef]
  118. Ma, Y.; Hu, Q.; Liu, C.; Wang, L. A nanospherical conjugated microporous polymer-graphene nanosheets modified molecularly imprinted electrochemical sensor for high sensitivity detection of α-Synuclein. J. Electroanal. Chem. 2020, 862, 113994. [Google Scholar] [CrossRef]
  119. Özcan, N.; Medetalibeyoglu, H.; Akyıldırım, O.; Atar, N.; Yola, M.L. Electrochemical detection of amyloid-β protein by delaminated titanium carbide MXene/multi-walled carbon nanotubes composite with molecularly imprinted polymer. Mater. Today Commun. 2020, 23, 101097. [Google Scholar] [CrossRef]
  120. Pereira, M.V.; Marques, A.C.; Oliveira, D.; Martins, R.; Moreira, F.T.C.; Sales, M.G.F.; Fortunato, E. Paper-Based Platform with an In Situ Molecularly Imprinted Polymer for β-Amyloid. ACS Omega 2020, 5, 12057–12066. [Google Scholar] [CrossRef] [PubMed]
  121. Lindahl, M.; Saarma, M.; Lindholm, P. Unconventional neurotrophic factors CDNF and MANF: Structure, physiological functions and therapeutic potential. Neurobiol. Dis. 2017, 97, 90–102. [Google Scholar] [CrossRef]
  122. Huttunen, H.J.; Saarma, M. CDNF Protein Therapy in Parkinson’s Disease. Cell Transplant. 2019, 28, 349–366. [Google Scholar] [CrossRef] [PubMed]
  123. Hwang, H.; Hwang, B.-Y.; Bueno, J. Biomarkers in Infectious Diseases. Dis. Markers 2018, 2018, 8509127. [Google Scholar] [CrossRef] [PubMed]
  124. Wang, C.; Liu, M.; Wang, Z.; Li, S.; Deng, Y.; He, N. Point-of-care diagnostics for infectious diseases: From methods to devices. Nano Today 2021, 37, 101092. [Google Scholar] [CrossRef] [PubMed]
  125. Cui, F.; Zhou, Z.; Zhou, H.S. Molecularly Imprinted Polymers and Surface Imprinted Polymers Based Electrochemical Biosensor for Infectious Diseases. Sensors 2020, 20, 996. [Google Scholar] [CrossRef] [PubMed]
  126. Pilvenyte, G.; Ratautaite, V.; Boguzaite, R.; Ramanavicius, S.; Chen, C.-F.; Viter, R.; Ramanavicius, A. Molecularly Imprinted Polymer-Based Electrochemical Sensors for the Diagnosis of Infectious Diseases. Biosensors 2023, 13, 620. [Google Scholar] [CrossRef]
  127. Ghanbari, K.; Roushani, M. A nanohybrid probe based on double recognition of an aptamer MIP grafted onto a MWCNTs-Chit nanocomposite for sensing hepatitis C virus core antigen. Sens. Actuators B Chem. 2018, 258, 1066–1071. [Google Scholar] [CrossRef]
  128. Ratautaite, V.; Boguzaite, R.; Brazys, E.; Ramanaviciene, A.; Ciplys, E.; Juozapaitis, M.; Slibinskas, R.; Bechelany, M.; Ramanavicius, A. Molecularly Imprinted Polypyrrole based Sensor for the Detection of SARS-CoV-2 Spike Glycoprotein. Electrochim. Acta 2021, 403, 139581. [Google Scholar] [CrossRef]
  129. Tabrizi, M.A.; Fernández-Blázquez, J.P.; Medina, D.M.; Acedo, P. An ultrasensitive molecularly imprinted polymer-based electrochemical sensor for the determination of SARS-CoV-2-RBD by using macroporous gold screen-printed electrode. Biosens. Bioelectron. 2022, 196, 113729. [Google Scholar] [CrossRef]
  130. Bognár, Z.; Supala, E.; Yarman, A.; Zhang, X.; Bier, F.F.; Scheller, F.W.; Gyurcsányi, R.E. Peptide epitope-imprinted polymer microarrays for selective protein recognition. Application for SARS-CoV-2 RBD protein. Chem. Sci. 2022, 13, 1263–1269. [Google Scholar] [CrossRef] [PubMed]
  131. Leostic, A.; Tran, P.L.; Fagot, H.; Boukerrou, M. Elevated human chorionic gonadotrophin without pregnancy: A case of gallbladder carcinoma. J. Gynecol. Obstet. Hum. Reprod. 2018, 47, 141–143. [Google Scholar] [CrossRef] [PubMed]
  132. Ahmed, U.; Anwar, A.; Savage, R.S.; Costa, M.L.; Mackay, N.; Filer, A.; Raza, K.; Watts, R.A.; Winyard, P.G.; Tarr, J.; et al. Biomarkers of early stage osteoarthritis, rheumatoid arthritis and musculoskeletal health. Sci. Rep. 2015, 5, 9259. [Google Scholar] [CrossRef] [PubMed]
  133. Jesadabundit, W.; Jampasa, S.; Patarakul, K.; Siangproh, W.; Chailapakul, O. Enzyme-free impedimetric biosensor-based molecularly imprinted polymer for selective determination of L-hydroxyproline. Biosens. Bioelectron. 2021, 191, 113387. [Google Scholar] [CrossRef] [PubMed]
  134. Zheng, W.; Zhao, M.; Liu, W.; Yu, S.; Niu, L.; Li, G.; Li, H.; Liu, W. Electrochemical sensor based on molecularly imprinted polymer/reduced graphene oxide composite for simultaneous determination of uric acid and tyrosine. J. Electroanal. Chem. 2018, 813, 75–82. [Google Scholar] [CrossRef]
  135. Suresh, R.; Giribabu, K.; Manigandan, R.; Stephen, A.; Narayanan, V. Fabrication of Ni–Fe2O3 magnetic nanorods and application to the detection of uric acid. RSC Adv. 2014, 4, 17146–17155. [Google Scholar] [CrossRef]
  136. Parnianchi, F.; Kashanian, S.; Nazari, M.; Santoro, C.; Bollella, P.; Varmira, K. Highly selective and sensitive molecularly imprinting electrochemical sensing platform for bilirubin detection in saliva. Microchem. J. 2021, 168, 106367. [Google Scholar] [CrossRef]
  137. Xue, Y.; Thalmayer, A.S.; Zeising, S.; Fischer, G.; Lübke, M. Commercial and Scientific Solutions for Blood Glucose Monitoring—A Review. Sensors 2022, 22, 425. [Google Scholar] [CrossRef]
  138. Sehit, E.; Drzazgowska, J.; Buchenau, D.; Yesildag, C.; Lensen, M.; Altintas, Z. Ultrasensitive nonenzymatic electrochemical glucose sensor based on gold nanoparticles and molecularly imprinted polymers. Biosens. Bioelectron. 2020, 165, 112432. [Google Scholar] [CrossRef]
  139. Kim, D.-M.; Moon, J.-M.; Lee, W.-C.; Yoon, J.-H.; Choi, C.S.; Shim, Y.-B. A potentiometric non-enzymatic glucose sensor using a molecularly imprinted layer bonded on a conducting polymer. Biosens. Bioelectron. 2017, 91, 276–283. [Google Scholar] [CrossRef]
  140. Diouf, A.; Bouchikhi, B.; El Bari, N. A nonenzymatic electrochemical glucose sensor based on molecularly imprinted polymer and its application in measuring saliva glucose. Mater. Sci. Eng. C 2019, 98, 1196–1209. [Google Scholar] [CrossRef]
  141. Wang, M.; Yang, Y.; Min, J.; Song, Y.; Tu, J.; Mukasa, D.; Ye, C.; Xu, C.; Heflin, N.; McCune, J.S.; et al. A wearable electrochemical biosensor for the monitoring of metabolites and nutrients. Nat. Biomed. Eng. 2022, 6, 1225–1235. [Google Scholar] [CrossRef] [PubMed]
  142. Lowdon, J.W.; Diliën, H.; Singla, P.; Peeters, M.; Cleij, T.J.; van Grinsven, B.; Eersels, K. MIPs for commercial application in low-cost sensors and assays—An overview of the current status quo. Sens. Actuators B Chem. 2020, 325, 128973. [Google Scholar] [CrossRef] [PubMed]
  143. Poma, A.; Guerreiro, A.; Whitcombe, M.J.; Piletska, E.V.; Turner, A.P.F.; Piletsky, S.A. Solid-Phase Synthesis of Molecularly Imprinted Polymer Nanoparticles with a Reusable Template—“Plastic Antibodies”. Adv. Funct. Mater. 2013, 23, 2821–2827. [Google Scholar] [CrossRef] [PubMed]
  144. D’Aurelio, R.; Chianella, I.; Goode, J.A.; Tothill, I.E. Molecularly Imprinted Nanoparticles Based Sensor for Cocaine Detection. Biosensors 2020, 10, 22. [Google Scholar] [CrossRef] [PubMed]
  145. McClements, J.; Tchekwagep, P.M.S.; Strapazon, A.L.V.; Canfarotta, F.; Thomson, A.; Czulak, J.; Johnson, R.E.; Novakovic, K.; Losada-Pérez, P.; Zaman, A.; et al. Immobilization of Molecularly Imprinted Polymer Nanoparticles onto Surfaces Using Different Strategies: Evaluating the Influence of the Functionalized Interface on the Performance of a Thermal Assay for the Detection of the Cardiac Biomarker Troponin I. ACS Appl. Mater. Interfaces 2021, 13, 27868–27879. [Google Scholar] [CrossRef]
  146. Bosserdt, M.; Erdőssy, J.; Lautner, G.; Witt, J.; Köhler, K.; Gajovic-Eichelmann, N.; Yarman, A.; Wittstock, G.; Scheller, F.W.; Gyurcsányi, R.E. Microelectrospotting as a new method for electrosynthesis of surface-imprinted polymer microarrays for protein recognition. Biosens. Bioelectron. 2015, 73, 123–129. [Google Scholar] [CrossRef]
  147. Supala, E.; Tamás, L.; Erdőssy, J.; Gyurcsányi, R.E. Multiplexed redox gating measurements with a microelectrospotter. Towards electrochemical readout of molecularly imprinted polymer microarrays. Electrochem. Commun. 2020, 119, 106812. [Google Scholar] [CrossRef]
  148. Mei, X.; Yang, J.; Yu, X.; Peng, Z.; Zhang, G.; Li, Y. Wearable molecularly imprinted electrochemical sensor with integrated nanofiber-based microfluidic chip for in situ monitoring of cortisol in sweat. Sens. Actuators B Chem. 2023, 381, 133451. [Google Scholar] [CrossRef]
  149. Parlak, O.; Keene, S.T.; Marais, A.; Curto, V.F.; Salleo, A. Molecularly selective nanoporous membrane-based wearable organic electrochemical device for noninvasive cortisol sensing. Sci. Adv. 2018, 4, eaar2904. [Google Scholar] [CrossRef] [PubMed]
Figure 1. The surface imprinting strategy for the synthesis of a protein-MIP layer on a conducting surface using the electropolymerization approach. The strategy consists of (A) covalent immobilization of a target protein via a cleavable linker to a conducting surface; (B) electropolymerization of a monomer with careful control of the thickness of the growing polymer to exclude protein entrapment; (C) cleavage of the linker to facilitate protein removal; and (D) formation of MIP with protein-selective binding sites located on the polymer surface.
Figure 1. The surface imprinting strategy for the synthesis of a protein-MIP layer on a conducting surface using the electropolymerization approach. The strategy consists of (A) covalent immobilization of a target protein via a cleavable linker to a conducting surface; (B) electropolymerization of a monomer with careful control of the thickness of the growing polymer to exclude protein entrapment; (C) cleavage of the linker to facilitate protein removal; and (D) formation of MIP with protein-selective binding sites located on the polymer surface.
Biosensors 14 00071 g001
Figure 2. A surface imprinting approach combines colloidal crystal templating with electropolymerization to fabricate an inverse opal structure with molecular imprints of a protein (e.g., hCG) on the surface. The approach includes the following steps: (A) fabrication of a colloidal crystal template of SiO2 NPs; (B) immobilization of target protein (hCG) on the surface of NPs; (C) derivatization of protein with functional monomers (bithiophene); (D) electrodeposition of poly(2,3′-bithophene) film; (E) removal of NPs and the protein from the polymer, resulting in a polymeric inverse opal material with molecular cavities on the inner side of the pore wall. Reprinted with permission from M. Dąbrowski, A. Zimińska, J. Kalecki, M. Cieplak, W. Lisowski, R. Maksym, S. Shao, F. D’Souza, A. Kuhn, P.S. Sharma, Facile Fabrication of Surface-Imprinted Macroporous Films for Chemosensing of Human Chorionic Gonadotropin Hormone, ACS Appl. Mater. Interfaces. 11 (2019) 9265–9276. https://doi.org/10.1021/acsami.8b17951. Copyright 2023 American Chemical Society [49].
Figure 2. A surface imprinting approach combines colloidal crystal templating with electropolymerization to fabricate an inverse opal structure with molecular imprints of a protein (e.g., hCG) on the surface. The approach includes the following steps: (A) fabrication of a colloidal crystal template of SiO2 NPs; (B) immobilization of target protein (hCG) on the surface of NPs; (C) derivatization of protein with functional monomers (bithiophene); (D) electrodeposition of poly(2,3′-bithophene) film; (E) removal of NPs and the protein from the polymer, resulting in a polymeric inverse opal material with molecular cavities on the inner side of the pore wall. Reprinted with permission from M. Dąbrowski, A. Zimińska, J. Kalecki, M. Cieplak, W. Lisowski, R. Maksym, S. Shao, F. D’Souza, A. Kuhn, P.S. Sharma, Facile Fabrication of Surface-Imprinted Macroporous Films for Chemosensing of Human Chorionic Gonadotropin Hormone, ACS Appl. Mater. Interfaces. 11 (2019) 9265–9276. https://doi.org/10.1021/acsami.8b17951. Copyright 2023 American Chemical Society [49].
Biosensors 14 00071 g002
Figure 3. Scheme depicting multiple phases of preparation of a self-powered and self-signaled autonomous electrochemical biosensor for determination of CEA: (A) the assembly of the biosensing film on an FTO-glass substrate consisting of conductive PEDOT layer and CEA-selective MIP film; (B) the creation of the hybrid device by incorporating the MIP-modified electrode in a DSSC as the counter electrode; (C) the connection of the circuit with an electrochromic cell. The sensor undergoes a color change upon loading with CEA, transforming electrical energy into color via the electrochromic cell. Reprinted with permission from A.P.M. Tavares, L.A.A.N.A. Truta, F.T.C. Moreira, L.P.T. Carneiro, M.G.F. Sales, Self-powered and self-signaled autonomous electrochemical biosensor applied to carcinoembryonic antigen determination, Biosens. Bioelectron. 140 (2019) 111320. https://doi.org/10.1016/j.bios.2019.111320. Copyright 2023 Elsevier [63].
Figure 3. Scheme depicting multiple phases of preparation of a self-powered and self-signaled autonomous electrochemical biosensor for determination of CEA: (A) the assembly of the biosensing film on an FTO-glass substrate consisting of conductive PEDOT layer and CEA-selective MIP film; (B) the creation of the hybrid device by incorporating the MIP-modified electrode in a DSSC as the counter electrode; (C) the connection of the circuit with an electrochromic cell. The sensor undergoes a color change upon loading with CEA, transforming electrical energy into color via the electrochromic cell. Reprinted with permission from A.P.M. Tavares, L.A.A.N.A. Truta, F.T.C. Moreira, L.P.T. Carneiro, M.G.F. Sales, Self-powered and self-signaled autonomous electrochemical biosensor applied to carcinoembryonic antigen determination, Biosens. Bioelectron. 140 (2019) 111320. https://doi.org/10.1016/j.bios.2019.111320. Copyright 2023 Elsevier [63].
Biosensors 14 00071 g003
Figure 4. Schematic representations of (A) structural components of Bio-MIP-ePADs: the working electrode part (red), counter/reference electrode part (yellow), movable valve part (blue) and washing channel part (green); (B) fully assembled Bio-MIP-ePADs, featuring movable valves connecting the raw material pool and sample pools; (C) detection principle by the constructed Bio-MIP-ePADs consisting in application of sample to the working electrode pools, folding washing channels part and washing by phosphate-buffered saline (PBS) buffer solution following by opening another counter/reference electrode part and performing DPV measurements. Adapted with permission from J. Qi, B. Li, N. Zhou, X. Wang, D. Deng, L. Luo, L. Chen, The strategy of antibody-free biomarker analysis by in-situ synthesized molecularly imprinted polymers on movable valve paper-based device, Biosens. Bioelectron. 142 (2019) 111533. https://doi.org/10.1016/j.bios.2019.111533. Copyright 2023 Elsevier [64].
Figure 4. Schematic representations of (A) structural components of Bio-MIP-ePADs: the working electrode part (red), counter/reference electrode part (yellow), movable valve part (blue) and washing channel part (green); (B) fully assembled Bio-MIP-ePADs, featuring movable valves connecting the raw material pool and sample pools; (C) detection principle by the constructed Bio-MIP-ePADs consisting in application of sample to the working electrode pools, folding washing channels part and washing by phosphate-buffered saline (PBS) buffer solution following by opening another counter/reference electrode part and performing DPV measurements. Adapted with permission from J. Qi, B. Li, N. Zhou, X. Wang, D. Deng, L. Luo, L. Chen, The strategy of antibody-free biomarker analysis by in-situ synthesized molecularly imprinted polymers on movable valve paper-based device, Biosens. Bioelectron. 142 (2019) 111533. https://doi.org/10.1016/j.bios.2019.111533. Copyright 2023 Elsevier [64].
Biosensors 14 00071 g004
Figure 5. The arrangement of the MWCNT/MIP sensor, the principle of Mb detection, and the classification of plasma samples from healthy persons and patients with AMI. Due to the inherent redox property of Mb, the sensor can register it through direct electrochemical detection by DPV. Reprinted with permission from V.V. Shumyantseva, T.V. Bulko, L.V. Sigolaeva, A.V. Kuzikov, P.V. Pogodin, A.I. Archakov, Molecular imprinting coupled with electrochemical analysis for plasma samples classification in acute myocardial infarction diagnostic, Biosens. Bioelectron. 99 (2018) 216–222. https://doi.org/10.1016/j.bios.2017.07.026. Copyright 2023 Elsevier [103].
Figure 5. The arrangement of the MWCNT/MIP sensor, the principle of Mb detection, and the classification of plasma samples from healthy persons and patients with AMI. Due to the inherent redox property of Mb, the sensor can register it through direct electrochemical detection by DPV. Reprinted with permission from V.V. Shumyantseva, T.V. Bulko, L.V. Sigolaeva, A.V. Kuzikov, P.V. Pogodin, A.I. Archakov, Molecular imprinting coupled with electrochemical analysis for plasma samples classification in acute myocardial infarction diagnostic, Biosens. Bioelectron. 99 (2018) 216–222. https://doi.org/10.1016/j.bios.2017.07.026. Copyright 2023 Elsevier [103].
Biosensors 14 00071 g005
Figure 6. Schematic diagram of the MIP-based ratiometric electrochemical sensor for DA recognition. In the presence of DA in a solution, the sensor signals its presence by simultaneously decreasing the pThi- and increasing the DA-related DPV responses. Reprinted with permission from J. Yang, Y. Hu, Y. Li, Molecularly imprinted polymer-decorated signal on-off ratiometric electrochemical sensor for selective and robust dopamine detection, Biosens. Bioelectron. 135 (2019) 224–230. https://doi.org/10.1016/j.bios.2019.03.054. Copyright 2023 Elsevier [113].
Figure 6. Schematic diagram of the MIP-based ratiometric electrochemical sensor for DA recognition. In the presence of DA in a solution, the sensor signals its presence by simultaneously decreasing the pThi- and increasing the DA-related DPV responses. Reprinted with permission from J. Yang, Y. Hu, Y. Li, Molecularly imprinted polymer-decorated signal on-off ratiometric electrochemical sensor for selective and robust dopamine detection, Biosens. Bioelectron. 135 (2019) 224–230. https://doi.org/10.1016/j.bios.2019.03.054. Copyright 2023 Elsevier [113].
Biosensors 14 00071 g006
Figure 7. Schematic workflow for (A) carbon ink printed electrode formation on paper support and subsequent electrodeposition of the PEDOT layer; (B) MIP layer fabrication on top of the modified paper support. o-PDA is the monomer, and Aβ-42 is the target biomarker. Reprinted with permission from M.V. Pereira, A.C. Marques, D. Oliveira, R. Martins, F.T.C. Moreira, M.G.F. Sales, E. Fortunato, Paper-Based Platform with an In Situ Molecularly Imprinted Polymer for β-Amyloid, ACS Omega. 5 (2020) 12057–12066. https://doi.org/10.1021/acsomega.0c00062. Copyright 2023 American Chemical Society [120].
Figure 7. Schematic workflow for (A) carbon ink printed electrode formation on paper support and subsequent electrodeposition of the PEDOT layer; (B) MIP layer fabrication on top of the modified paper support. o-PDA is the monomer, and Aβ-42 is the target biomarker. Reprinted with permission from M.V. Pereira, A.C. Marques, D. Oliveira, R. Martins, F.T.C. Moreira, M.G.F. Sales, E. Fortunato, Paper-Based Platform with an In Situ Molecularly Imprinted Polymer for β-Amyloid, ACS Omega. 5 (2020) 12057–12066. https://doi.org/10.1021/acsomega.0c00062. Copyright 2023 American Chemical Society [120].
Biosensors 14 00071 g007
Figure 8. Principles of COVID-19 diagnostics using the SARS-CoV-2 nucleocapsid protein (ncovNP) imprinted sensor for analyzing samples prepared from nasopharyngeal swab specimens of patients. The Au-TFME, modified with ncovNP-MIP, is connected to a portable potentiostat. If ncovNP is present in the analyte solution, it occupies the imprinted cavities within the MIP film, resulting in a concentration-dependent reduction in the redox current peaks of the [Fe(CN)6]3−/[Fe(CN)6]4− redox pair. The blue line represents the DPV current peak before incubation, and the red line represents the DPV current peak after incubation. Reprinted with permission from A. Raziq, A. Kidakova, R. Boroznjak, J. Reut, A. Öpik, V. Syritski, Development of a portable MIP-based electrochemical sensor for detection of SARS-CoV-2 antigen, Biosens. Bioelectron. 178 (2021) 113029. https://doi.org/10.1016/j.bios.2021.113029. Copyright 2023 [46].
Figure 8. Principles of COVID-19 diagnostics using the SARS-CoV-2 nucleocapsid protein (ncovNP) imprinted sensor for analyzing samples prepared from nasopharyngeal swab specimens of patients. The Au-TFME, modified with ncovNP-MIP, is connected to a portable potentiostat. If ncovNP is present in the analyte solution, it occupies the imprinted cavities within the MIP film, resulting in a concentration-dependent reduction in the redox current peaks of the [Fe(CN)6]3−/[Fe(CN)6]4− redox pair. The blue line represents the DPV current peak before incubation, and the red line represents the DPV current peak after incubation. Reprinted with permission from A. Raziq, A. Kidakova, R. Boroznjak, J. Reut, A. Öpik, V. Syritski, Development of a portable MIP-based electrochemical sensor for detection of SARS-CoV-2 antigen, Biosens. Bioelectron. 178 (2021) 113029. https://doi.org/10.1016/j.bios.2021.113029. Copyright 2023 [46].
Biosensors 14 00071 g008
Figure 9. The measurement principle by enzyme-free impedimetric MIP-based biosensor for selective and sensitive determination of L-hyp. Reprinted with permission from W. Jesadabundit, S. Jampasa, K. Patarakul, W. Siangproh, O. Chailapakul, Enzyme-free impedimetric biosensor-based molecularly imprinted polymer for selective determination of L-hydroxyproline, Biosens. Bioelectron. 191 (2021) 113387. https://doi.org/10.1016/j.bios.2021.113387. Copyright 2023 [133].
Figure 9. The measurement principle by enzyme-free impedimetric MIP-based biosensor for selective and sensitive determination of L-hyp. Reprinted with permission from W. Jesadabundit, S. Jampasa, K. Patarakul, W. Siangproh, O. Chailapakul, Enzyme-free impedimetric biosensor-based molecularly imprinted polymer for selective determination of L-hydroxyproline, Biosens. Bioelectron. 191 (2021) 113387. https://doi.org/10.1016/j.bios.2021.113387. Copyright 2023 [133].
Biosensors 14 00071 g009
Table 1. Electrosynthesized MIPs for sensing biomarkers for various diseases.
Table 1. Electrosynthesized MIPs for sensing biomarkers for various diseases.
Target AnalyteDiseases Monomer Transducer SampleLinear RangeLODRef.
CEACancer (colorectal, lung, breast) EDOT
and pyrrole
Fluorine-doped Tin Oxide conductive glass substratehuman serum0.1 ng mL−1–100 μg mL−10.08 ng mL−1[78]
CEACancer (colorectal, lung, breast) DA human serum0.001–1000 ng mL−1 0.26 pg mL−1[79]
CEACancer (colorectal, lung, breast) gallic acidAu-SPEPBS1–100 ng mL−11 ng mL−1[80]
CA 15-3Cancer (breast)o-PDAAu-SPEhuman serum0.25–10.00 U mL−10.05 U mL−1[81]
CA 15-3Cancer (breast)o-PDACNT electrodehuman serum5–35 U mL−11.16 U mL−1[82]
TnTAMIo-PDAAu electrodehuman serum0.009–0.8 ng mL−19 pg mL−1[83]
DANeurological diseasespyrroleGCEbiological samples62.5–100 μM0.6 nM[84]
PARK7/DJ-1Neurological diseasespyrroleSPCElysis buffer1–500 nM1 nM[85]
HCV-E2 aHepatitis Cm-PDAu SPEhuman plasma0.01–50 ng mL−10.46 pg mL−1[86]
SARS-CoV-2 pseudoparticlesCOVID-19N-hydroxmethylacrylamideAu-SPEsaliva3.0–7.0 log10 pfu mL−14.9 log10 pfu mL−1[87]
SARS-CoV-2 (ncovS1)COVID-19APBAAu-TFMEnasopharyngeal swab0–400 fM64 fM[47]
GlucoseDiabetes MellituspyrroleGCEplasma-1 μM[88]
3-nitrotyrosineOxidative stressphenolCarbon SPEhuman urine500 nM–1 mM22.3 nM[89]
3-nitrotyrosineOxidative stresspyrroleGCEhuman serum and urine0.2–50.0 mM50 nM[90]
LactateHypoxiaAPBASPEsweat3–100 mM1.5 mM[91]
DiosgeninDiabetesp-ABA bGCEhuman plasma0.003–0.13 mM89.5 μM[92]
a Hepatitis C envelope protein E2 (HCV-E2), b para-aminobenzoic acid (p-ABA).
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Ayankojo, A.G.; Reut, J.; Syritski, V. Electrochemically Synthesized MIP Sensors: Applications in Healthcare Diagnostics. Biosensors 2024, 14, 71. https://doi.org/10.3390/bios14020071

AMA Style

Ayankojo AG, Reut J, Syritski V. Electrochemically Synthesized MIP Sensors: Applications in Healthcare Diagnostics. Biosensors. 2024; 14(2):71. https://doi.org/10.3390/bios14020071

Chicago/Turabian Style

Ayankojo, Akinrinade George, Jekaterina Reut, and Vitali Syritski. 2024. "Electrochemically Synthesized MIP Sensors: Applications in Healthcare Diagnostics" Biosensors 14, no. 2: 71. https://doi.org/10.3390/bios14020071

APA Style

Ayankojo, A. G., Reut, J., & Syritski, V. (2024). Electrochemically Synthesized MIP Sensors: Applications in Healthcare Diagnostics. Biosensors, 14(2), 71. https://doi.org/10.3390/bios14020071

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop