Next Article in Journal
Capabilities of Double-Resonance LPG and SPR Methods for Hypersensitive Detection of SARS-CoV-2 Structural Proteins: A Comparative Study
Next Article in Special Issue
An Impedimetric Biosensor for Detection of Volatile Organic Compounds in Food
Previous Article in Journal
Nucleic Acid Quantification by Multi-Frequency Impedance Cytometry and Machine Learning
Previous Article in Special Issue
Application of Nanozymes in Environmental Monitoring, Management, and Protection
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Biosensors
Volume 13
Issue 3
10.3390/bios13030317
biosensors-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Dual-Mode Sensing Platform for Cancer Antigen 15-3 Determination Based on a Silica Nanochannel Array Using Electrochemiluminescence and Electrochemistry

by
Jie Huang
1,†,
Tongtong Zhang
2,†,
Yanyan Zheng
1 and
Jiyang Liu
1,*
1
Key Laboratory of Surface & Interface Science of Polymer Materials of Zhejiang Province, Department of Chemistry, Zhejiang Sci-Tech University, Hangzhou 310018, China
2
Key Laboratory of Integrated Oncology and Intelligent Medicine of Zhejiang Province, Department of Hepatobiliary and Pancreatic Surgery, Affiliated Hangzhou First People’s Hospital, Zhejiang University School of Medicine, Hangzhou 310006, China
*
Author to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Biosensors 2023, 13(3), 317; https://doi.org/10.3390/bios13030317
Submission received: 17 January 2023 / Revised: 15 February 2023 / Accepted: 21 February 2023 / Published: 24 February 2023
(This article belongs to the Special Issue Biosensing and Diagnosis)
Browse Figures
Versions Notes

Abstract

:
An electrochemiluminescence-electrochemistry (ECL-EC) dual-mode sensing platform based on a vertically-ordered mesoporous silica films (VMSF) modified electrode was designed here for the sensitive and selective determination of cancer antigen 15-3 (CA 15-3), a specific biomarker of breast cancer. VMSF was assembled through a rapid electrochemically assisted self-assembly (EASA) method and plays a crucial role in signal amplification via a strong electrostatic interaction with the positively charged bifunctional probe Ru(bpy)32+. To construct the biorecognition interface, epoxy functional silane was linked to the surface of VMSF for further covalent immobilization of the antibody. As a benefit from the specific combination of antigen and antibody, a non-conductive immunocomplex layer was formed in the presence of CA 15-3, leading to the hinderance of the mass and electron transfer of the probes. Based on this strategy, the dual-mode determination of CA 15-3 ranging from 0.1 mU/mL to 100 mU/mL with a LOD of 9 μU/mL for ECL mode, and 10 mU/mL to 200 U/mL with a LOD of 5.4 mU/mL for EC mode, was achieved. The proposed immunosensor was successfully employed for the detection of CA 15-3 in human serum without tedious pretreatment.

1. Introduction

Cancer has become the second major cause of death worldwide [1]. According to the latest statistics from the International Agency for Research on Cancer (IARC), breast cancer occurs with the highest incidence and is also the major cause of cancer-related mortality in females [2], indicating that it is the most common and high-risk cancer globally. The diagnosis of breast cancer mainly relies on clinical screening or imaging analysis that often requires invasive means to obtain tissue samples and may bring sufferings to the patients [3]. The establishment of a noninvasive/minimally invasive, non-radioactive, simple, and rapid technique for early diagnosis remains a serious challenge and an unmet demand. Tumor markers, a kind of biological macromolecules existing in accessible body fluids (e.g., blood, serum, and urine) [4], provide a new standard for cancer diagnosis, health monitoring and personalized treatment. Cancer antigen 15-3 (CA 15-3) is an acidic glycoprotein with a molecular weight of 300–450 kDa that is often found in those who suffer from breast cancer [5,6]. The serum content of CA 15-3 in healthy people is usually less than 30 U/mL [7]. Abnormally elevated serum CA 15-3 levels indicate a higher risk of breast cancer. Simple but sensitive identification and quantitation of serum CA 15-3 level is critical for cancer screening, determination of disease progression, and treatment effect assessment.
Enzyme-linked immunosorbent assay (ELISA) [8], fluorescent immunoassay (FIA) [9], and radioimmunoassay (RIA) [10] have been reported for the quantitation of CA 15-3, but cumbersome instruments, trained operators and time-consuming preprocesses are always required. The electrochemical (EC) sensing technique has proven itself to be a powerful tool because of the fast response, simple operation, and ease of integration [11,12] compared with the traditional immunoassay, despite the hidden risk of inaccurate test results. To guarantee the accuracy and reliability of the diagnosis, dual-mode bioassays with different mechanisms and independent signal conversion have been developed. To date, a series of dual-mode biosensors which incorporate colorimetric-electrochemiluminescence (ECL) [13], ECL-electrochemical impedance spectroscopy (EIS) [14], fluorescence-colorimetry [15], and ECL-EC [16,17] have been reported. Among them, the ECL-EC dual-mode that combines the wider linear range and zero background signal of the former and the fast and easy operation characteristics of the latter with highly sensitivity, has attracted much attention. Generally, two different probes for ECL and EC are involved in the reported dual-mode detection strategy, which requires more laborious procedures. Tris(2,2′-bipyridyl) ruthenium (Ru(bpy)32+), as an excellent bifunctional probe with both outstanding EC and ECL response, is a good candidate for constructing an ECL-EC dual-mode sensor, not only simplifying the manual work, but also reducing the analysis error effectively [17,18].
In the recent three decades, functional mesoporous materials possessing abundant unique mesostructures have exhibited tremendous potential in the fields of adsorption, separation, catalysis, and sensing [19,20,21]. Among them, the vertically-ordered mesoporous silica films (VMSF) made of numerous perpendicularly aligned nanochannels with a ultrasmall and uniform diameter of 2~3 nm has attracted much attention [22,23]. The deprotonation of plentiful silanols with pKa of ~2 on the VMSF surface endows its negatively charged property [24,25]. All these characteristics endow VMSF with a good capability of prominent charge-based permselectivity, high molecular permeability, and outstanding antifouling ability [26,27,28]. Therefore, VMSF has been widely used in the construction of sensing platforms to serve certain functions (e.g., preconcentration through electrostatic interaction [29], hydrogen bonding [30] or hydrophobic extraction [31], specific recognition by tailoring recognitive molecules [32], and antifouling ability through size exclusion effect of nanopores [33]). As a monolayer of modification material with a nanoscale thickness, diverse VMSF-based sensors have been developed for the determination of biomolecules (DNA, antibodies, and antigens) [17,34], pharmaceutical molecules [35,36], small organic pollutants [30,37], and metal ions [38,39] in biofluids (blood, serum, urine, and sweat) and environmental samples. Su’s group observed a two-orders-of-magnitude ECL intensity enhancement when equipping indium tin oxide (ITO) electrode with a layer of VMSF due to the strong electrostatic attraction between the negatively charged nanochannels and the cationic ECL luminophore Ru(bpy)32+ and obtained a high ECL intensity even with a very low concentration [40]. On the other hand, the existence of silanols with excellent covalent reactivity towards silane coupling reagents provides the precondition to construct a recognition interface by introducing certain specific molecules to design a gated sensing scheme [41,42]. VMSF has become a fascinating material in the construction of sensing interfaces, demonstrating a great potential for direct and sensitive detection of targets in complex samples without cumbersome pretreatment processes including filtration, separation, and pre-enrichment.
In this work, an ECL-EC dual-mode immunosensor constructed on an ITO substrate composed of a layer of mesoporous silica membrane as the signal amplifier, and a monomolecular layer of anti-CA 15-3 antibody as the recognition element was designed for the sensitive and selective detection of the breast cancer biomarker CA 15-3. Compared with medical imaging and pathological biopsy applied to the clinical diagnosis of breast cancer, this method offers more hope for the early detection of breast cancer rapidly and conveniently. As shown in Scheme 1, VMSF was first assembled on ITO through the electrochemical assisted self-assembly (EASA) method. The construction of the immune recognition interface for further identifying and capturing targets specifically was achieved by immobilizing the antibodies with the assistance of (3-glycidyloxypropyl)trimethoxysilane (GPTMS) linked to the outer surface of VMSF beforehand. A layer of immunocomplex with poor conductivity and large size would form in the presence of the CA 15-3 antigen and hamper the mass transfer and electron transfer of the bifunctional probe Ru(bpy)32+, leading to decreased ECL-EC signal and the final signal-off detection of CA 15-3. The benefits of the immunosensor lie in the easy fabrication of the modification material which serves as both a signal amplifier to enrich Ru(bpy)32+ and an anti-fouling filter, as well as in the generalizability of the detection strategy which is suitable for the quantitation of various targets by simply changing the immobilized bio-receptors.

2. Materials and Methods

2.1. Reagents and Solution

CA 15-3, anti-CA 15-3 antibody, carcinoembryonic antigen (CEA), and prostate specific antigen (PSA) were from Beijing KEY-BIO Biotech. Tetraethyl orthosilicate (TEOS), hexadecyl trimethyl ammonium bromide (CTAB), sodium nitrate (NaNO3), sodium hydroxide (NaOH), potassium ferrocyanide (K4[Fe(CN)6]), potassium ferricyanide (K3[Fe(CN)6]), bovine serum albumin (BSA), and (3-glycidoxypropyl)methyldiethoxysilane (GPTMS) were from Aladdin Chemistry Co. Ltd. (China). Tris(2,2-bipyridyl) dichlororuthenium (II) hexahydrate (Ru(bpy)3Cl2·6H2O) and hexaammineruthenium (III) chloride (Ru(NH3)6Cl3) were purchased from Sigma-Aldrich. Ethanol (99.8%), hydrochloric acid (HCl, 38%), and acetone were from Hangzhou Shuanglin Chemical Reagent Co. Ltd. Phosphate buffered saline (PBS, 0.01 M, pH = 7.4) was obtained by mixing NaH2PO4 and Na2HPO4 in a certain ratio. All chemicals and reagents were used as received without any further purification. All the aqueous solutions used here were prepared using ultrapure water (18.2 MΩ cm) from Milli-Q Systems (Millipore Inc., Massachusetts, America). Serum of healthy men was obtained from the Center of Disease Control and Prevention (Hangzhou, China) for real sample analysis.

2.2. Apparatus and Electrodes

An MPI-E II ECL analytical system (Xi’an Remex Analytical Instrument Ltd., Xi’an, China) was used to perform ECL measurements. EC measurements, including cyclic voltammetry (CV), differential pulse voltammetry (DPV), and electrochemical impedance spectroscopy (EIS) were performed on an Autolab electrochemical workstation (PGSTAT302N, Metrohm, Switzerland). A traditional three-electrode system was adopted. Bare or modified ITO, platinum wire or platinum plate, and Ag/AgCl electrode (saturated with KCl solution) were used as the working electrode, counter electrode and reference electrode, respectively. Zhuhai Kaivo Optoelectronic Technology provided ITO glasses (<17 Ω/square, thickness: 100 ± 20 nm), which were cleaned ultrasonically with 1 M NaOH, acetone, ethanol and deionized water, respectively. The geometric surface area of the electrode was fixed to 1 cm × 0.5 cm.
The morphology of VMSF/ITO was investigated on a JEM-2100 (JEOL Ltd., Tokyo, Japan) transmission electron microscopy (TEM). The thickness of VMSF/ITO was characterized with a SU8010 (Hitachi, Tokyo, Japan) scanning electron microscopy (SEM).

2.3. Procedures

2.3.1. Preparation of VMSF/ITO Electrode

According to the reported electrochemically assisted self-assembly (EASA) method, an easy and rapid modification of VMSF on the ITO electrode was achieved [43]. A sol for film electrodeposition was prepared as follows: first mix 20 mL of ethanol and 20 mL of NaNO3 (0.1 M, adjusted to pH = 2.6 by HCl) together, then add 1.585 g of CTAB and 3050 μL of TEOS. After their complete dissolution, the solution was stirred for 2.5 h at room temperature for hydrolyzation. The assembly of VMSF was conducted under a galvanostatic condition (j = −0.70 mA/cm2) for 10 s after immersing the ITO in the hydrolyzed sol, using an Ag/AgCl (saturated KCl) as reference electrode and a platinum plate (2 cm × 4 cm) as counter electrode. The as-prepared electrode was rapidly removed from the sol and washed with copious deionized water, dried with N2 stream, and further treated overnight at 120 °C. The obtained electrodes were denoted SM@VMSF/ITO, which retained surfactant micelles (SM) templates in the nanochannels. The templates can be conveniently removed using 0.1 M HCl-ethanol by stirring for 5 min and the obtained electrode modified with open nanochannels was termed VMSF/ITO.

2.3.2. Characterization of VMSF/ITO Electrode

The morphology of VMSF was characterized with a JEM-2100 TEM with an acceleration voltage of 100 kV. The TEM specimen was prepared by dispersing the VMSF peeled off from the VMSF/ITO in ethanol through ultrasonication, and finally dropped onto the copper grids for investigation. The thickness of VMSF was characterized using a SU8010 SEM with an acceleration voltage of 5 kV. Before observation, a fresh cross section was obtained by breaking up the VMSF/ITO and spraying it with gold.
The integrity and permeability of VMSF were investigated with the CV technique using Fe(CN)63− and Ru(NH3)63+, two types of standard redox probes with different charges.

2.3.3. Fabrication of Immunosensor towards CA 15-3

For the immunosensor fabrication, the construction of a biorecognition interface is of great significance. To immobilize the antibody on the outer surface of the VMSF/ITO electrode, the bifunctional reagent GPTMS with both epoxy and silyl groups was selected as the crosslinker [34]. Typically, the SM@VMSF/ITO was immersed in GPTMS (2.26 mM in ethanol) for 60 min, then the GPTMS was covalently linked to the outer surface instead of the inner channels of the VMSF through silane reaction. The electrode was then treated with 0.1 M HCl-ethanol to remove the SM templates. The electrode modified with epoxy-functionalized nanochannels was named O-VMSF/ITO. Anti-CA 15-3 antibodies (anti-CA 15-3) were further immobilized by covering the O-VMSF/ITO with 50 μL of anti-CA 15-3 solution (10 μg/mL in PBS) for 90 min at 37 °C via the ring opening reaction between active epoxy groups on the VMSF and amino residues of the anti-CA 15-3. After rinsing with PBS, it was incubated with s BSA solution (1%, w/w) for 90 min to block the nonspecific binding sites. The immunosensor termed as anti-CA 15-3/O-VMSF/ITO was obtained and was stored at 4 °C for further tests. The procedure of the immunosensor fabrication is illustrated in Scheme 1.

2.3.4. Dual-Mode Tests

Before the ECL and EC tests, the immunosensor was incubated with different concentrations of CA 15-3 (50 μL in PBS) for 45 min at 37 °C and was noted as CA 15-3/anti-CA 15-3/O-VMSF/ITO, followed by thoroughly washing with PBS. For ECL measurement, the CA 15-3/anti-CA 15-3/O-VMSF/ITO was placed in PBS containing 10 μM Ru(bpy)32+ and 3 mM TPA. The ECL process was triggered by a continuous CV procedure with the potential range of 0 to 1.25 V at 0.1 V/s, which was recorded simultaneously along with the ECL signals. The voltage of the photomultiplier tube (PMT) was set at 400 V. For the EC measurement, the CA 15-3/anti-CA 15-3/O-VMSF/ITO was immersed in PBS including 10 μM Ru(bpy)32+ and let to stand for 30 min to preconcentration before recording the DPV curves.
Real sample analysis was conducted on human serum from healthy adults using the standard addition method without complex preprocessing. The serum was spiked with a known amount of CA 15-3, followed by 50-times dilution with PBS, and was analyzed by the established methods.

3. Results and Discussions

3.1. Morphology and Permeability of VMSF/ITO

As expected, the VMSF was assembled on the surface of the ITO electrode due to polycondensation of TEOS under the catalysis of hydroxide ions generated from the electroreduction of protons/water and nitrate ions, where CTAB served as the template, and was proved by TEM and SEM images (Figure 1a,b). VMSF presents a 2D structure of intact film with a thickness of 90 nm and is free of any cracks. A too thin VMSF would lead to an inadequate enrichment of Ru(bpy)32+, and would finally fail to achieve a high sensitivity. With the prolongation of electrodeposition time, a much thicker VMSF with more silica aggregates byproducts on its surface would be obtained, which would restrict the diffusion of Ru(bpy)32+ species across the film to the underlying electrode surface. According to the many reported works [23,24,28,29,30], a procedure of electrodeposition for 10 s at j = −0.70 mA/cm2 was selected here to obtain a VMSF with an appropriate thickness. This not only achieves an effective electrostatic attraction to Ru(bpy)32+, but also guarantees an efficient and rapid response. The film contains numerous nanochannels that are highly ordered and hexagonally packed and whose diameter is 2~3 nm.
Considering that VMSF plays the role of the modification material that is on the electrolyte/electrode interface, it is crucial to determine how VMSF affects the mass transfer. The permeability is investigated by comparing the electrochemical behaviors of Ru(NH3)63+ and Fe(CN)63−/4− on ITO, SM@VMSF/ITO and VMSF/ITO. As shown in Figure 1c,d, SM@VMSF/ITO exhibited no peak current but only a non-faradic current towards the Ru(NH3)63+ probe and a rather large charge transfer resistance (Rct) represented by the equivalent diameter of Nyquist curve obtained using the EIS technique, a powerful tool to study interfacial property [44]. This is due to the hydrophobic SM templates inside the nanochannels that block the mass transfer of charged probes (Ru(NH3)63+ and Fe(CN)63−/4−) and finally hinder the electron exchange. The nanochannels open after the removal of SM, which facilitates the diffusion of particles, and thus VMSF/ITO shows a pair of well-defined redox peaks to Ru(NH3)63+ and a much smaller Rct. In addition, VMSF/ITO exhibits a relatively higher peak current towards Ru(NH3)63+ than that of ITO, which derives from the deprotonation of abundant silanol with a pKa of ~2 in the nanochannel walls that can create a strong electrostatic attraction to positively charged species [25].
The excellent capability of VMSF to enrich cations was further verified by Ru(bpy)32+, a bifunctional probe with outstanding ECL and EC activities. The ECL process was triggered by a continuous CV procedure; the mechanism is as follows:
Ru(bpy)32+ − e− → Ru(bpy)33+
TPA − e− → TPA·+
TPA·+ − H+ → TPA
TPA· + Ru(bpy)33+ → Ru(bpy)32+*
Ru(bpy)32+* → Ru(bpy)32+ + hν (λmax ≈ 620 nm)
During the positive scanning of potential, TPA and Ru(bpy)32+ were electrooxidized to TPA· radical and Ru(bpy)33+. The redox reaction between TPA· radical and Ru(bpy)33+ led to the generation of excited Ru(bpy)32+* that emitted light (λmax ≈ 620 nm) when turning to the ground state, which was recorded by the photomultiplier. As shown in Figure 2, the ECL and DPV signals produced by 10 μM Ru(bpy)32+ on ITO were very weak while those obtained on VMSF/ITO were remarkable enhanced thanks to the electrostatic preconcentration of the nanochannel layer in the positively charged probe. VMSF/ITO tends to provide an adequate basic signal and exhibits enormous potential in the subsequent immunosensor fabrication.

3.2. Characterization of the Immunosensor Construction

The CV and EIS techniques were employed to monitor the interface features during the bioelectrode’s stepwise assembly. As shown in Figure 3a, VMSF/ITO showed two well-defined redox peaks, which were decreased after the modification of GPTMS, indicating the presence of epoxy group entities. The peak currents were further reduced with the immobilization of antibodies and the capture of CA 15-3 antigens, suggesting that an insulating protein layer was formed on the electrode surface, creating an obstacle to both mass and electron transfer. Figure 3b shows the EIS results fitted according to the Randles equivalent circuit. As shown by the inset, the Randles equivalent circuit contained a solution resistance (Rs), a double-layer capacitance (Cdl), Warburg impedance (Zw), and an apparent charge transfer resistance (Rct) that is equal to the equivalent diameter of the semicircle in the high-frequency region [45]. The Rct of VMSF/ITO was the smallest (141 Ω) and increased after the crosslinking of GPTMS (329 Ω). The incubation with the antibodies caused an obstruction to the electron transfer of the redox probe, increasing the Rct of anti-CA 15-3/O-VMSF/ITO significantly (493 Ω). The bio-recognition and combination of CA 15-3 further aggravated the blocking effect and CA 15-3/anti-CA 15-3/O-VMSF/ITO had the largest Rct (607 Ω). The results above indicate the successful fabrication of the immunosensor.

3.3. Dual-Mode Tests of CA 15-3

The specific recognition and combination between the anti-CA 15-3 antibody and the CA 15-3 antigen formed an antibody-antigen immunocomplex. In analogy with the aforementioned CV and EIS results, Figure 4a shows decreased ECL responses with the step-by-step assembling of the bioelectrode, confirming the feasibility of the ECL analysis. The inset suggested an outstanding stability of the biosensor under continuous CV scanning with a relative standard deviation (RSD) of less than 2%. The IECL-time curves recorded on bioelectrodes incubated with a series of different amounts of CA 15-3 are shown in Figure 4b. With the increase in CA 15-3, more immunocomplex was formed, which perturbed the mass transfer of Ru(bpy)32+ and restrained the electron transfer at the electrode. A linear relationship for CA 15-3 was obtained from 0.1 mU/mL to 100 U/mL using the equation IECL = −997.0 logCCA15-3 + 2537 (R2 = 0.991). LOD is defined by the International Union of Pure and Applied Chemistry (IUPAC) as the concentration (cL) that can be detected with a reasonable certainty for a given analytical procedure. It can be derived from the smallest measure (xL), which is calculated with the equation xL = xb1 ± ksb1, where xb1 is the mean of the blank measures, sb1 is the standard deviation of the blank measures, and k is a numerical factor commonly recommended as 3. Here, + and − are applied to signal-on and signal-off sensors, respectively [46]. Thus, the LOD was calculated to be 9 μU/mL according to the calibration curve equation. Compared with the other reported methods listed in Table 1, this proposed ECL immunosensor exhibits a relatively wider linear range and an exceedingly lower LOD for CA 15-3 determination without elaborate and complex labor during the construction process. Diverse sophisticated nanomaterials and sandwich strategies are widely used in other related works listed in Table 1. They require a complex preparation process, several steps of incubation, and consume more high-cost biological reagents. Our proposed sensor is simple in preparation, does not need multiple incubations for detection, and is much more economic.
In addition, considering the excellent electroactivity of Ru(bpy)32+, CA 15-3 was quantified using the DPV method. Similar to the ECL mode, the feasibility of the EC mode was verified by the gradually reduced DPV response during the bioelectrode fabrication as shown in Figure 5a. Upon the increase in CA 15-3, a group of peak currents which decreased linearly with the logarithm of the antigen concentration from 10 mU/mL to 200 U/mL were obtained (Figure 5b), and the calibration curve was represented in Figure 5c using the equation I = −0.82 logCCA15-3 + 4.60 (R2 = 0.992). Similar to the ECL mode, the LOD was calculated to be 5.4 mU/mL (S/N = 3). Although the EC method was inferior in LOD compared with the ECL mode, a higher detection upper limit was achieved. Although the LOD of our proposal is not as low as 10−5 U/mL for the sandwich strategy using Ab2/HRP-MBs and Ab1/AuE, our immunosensor is free of complex labeling operations or several steps of incubation. Dual-mode tests that combine the merits of ECL and EC strategies succeed to broaden the working linear range while achieving an ultrasensitive LOD. The total cost of a single fabricated immunosensor is approximately 0.366 USD, which is much lower in cost compared to ELISA which costs around 1.31 USD for a single sample test. Furthermore, the materials involved here are all commercially available, indicating its potential for industrialization, as well as the possibility of application in microfluidic Point-of-Care devices [47,48]. However, the immunosensor is susceptible to matrix effects, and a dilution is required before testing bio-samples to guarantee the accuracy in clinical application. In addition, an alkali condition may lead to the hydrolysis of VMSF as the proposed immunosensor is applicative in neutral medium to keep its mechanical stability. The current clinical determination of CA 15-3 is mainly based on a chemiluminescence immunoassay. This method not only involves labeling technology, but also requires two antibodies, as well as several steps of incubation and washing, which is high-cost and time-consuming. Our proposed method involves only one step of incubation, which meets the needs of rapid clinical determination of CA 15-3 at low cost.
Table
Table 1. Comparison of various methods for the determination of CA 15-3.
Table 1. Comparison of various methods for the determination of CA 15-3.
ElectrodeModeClassificationLinear Range (U/mL)LOD (μU/mL)Ref.
anti-CA 15-3/NH2-SiO2-PTCA/CeO2/Pt/rGO/GCEECLLabel-free0.012–1201348[49]
anti-CA 15-3/Ru(bpy)32+@UiO-66-NH2/GCEECLLabel-free5 × 10−4–50017.705[50]
Ab2/AuNPs/CQDs-PEI-GO and Ab1/AgNPs-PDA/GCEECLLabeled5 × 10−3–5001.7 × 103[51]
anti-CA 15-3/CS/PtNi NCs-L-Cys-luminol/GCEECLLabel-free5 × 10−4–500167[52]
Ab2/CdTe@CdS/PAMAM and Ab2/Fe3O4@SiO2, ITOECLLabeled10−4–10010[53]
Ab2/HRP-MBs and Ab1/AuEECLabel-free1.5 × 10−5–5015[54]
anti-CA 15-3/Ag/TiO2/rGO/GCEECLabel-free0.1–3007 × 104[55]
anti-CA 15-3/DAP-AuNPs/P3ABA/2D-MoSe2/GO/SPCEECLabel-free0.14–5001.4 × 105[56]
anti-CA 15-3/O-VMSF/ITOECLLabel-free10−4–1009This work
EC10−2–1005.4 × 103
PTCA: 3,4,9,10-perylenetetracarboxylic acid; rGO: reduced graphene oxide; GCE: glassy carbon electrode; Ab: antibody; AuNPs: gold nanoparticles; CQDs: carbon quantum dots; PEI: polyethylenimine; GO: graphene oxide; AgNPs: silver nanoparticles; PDA: polydopamine; PtNi NCs: platinum nickel nanocubes; L-Cys: L-cysteine; PAMAM: polyamidoamine; HRP: horseradish peroxidase; MBs: magnetic beads; AuE: gold electrode; DAP: deposited redox dye; P3ABA: poly(3-aminobenzylamine); and SPCE: screen-printed carbon electrode.

3.4. Specificity, Selectivity and Stability of the Immunosensor

The proposed immunosensor was expected to be highly specific and selective for CA 15-3 detection due to the antigen-antibody recognition. Therefore, the bioelectrode was tested with different possible clinical cancer biomarkers such as the carcinoembryonic antigen (CEA) and the prostate specific antigen (PSA) (the concentrations of interfering proteins are both 500 ng/mL). As illustrated in Figure 6, the signal fluctuation caused by individual interfering proteins was less than 7%; an evident decrease in signal was observed when incubated with CA 15-3 or the mixture of all proteins. These results indicated the high specificity and outstanding selectivity of the fabricated immunosensor. The stability of the anti-CA 15-3/O-VMSF/ITO was evaluated by comparing the signal after several days of storage at 4 °C with the initial signal on the first day. Anti-CA 15-3/O-VMSF/ITO retained more than 95% of the initial signal after a 15-day storage at 4 °C, suggesting a satisfactory stability.

3.5. Real Sample Analysis

To validate the practical applicability of the established method, the biosensor was used to determine the CA 15-3 spiked in healthy human serum samples. A series of known amount of CA 15-3 was added to the samples and then they were diluted with PBS 50 times. After the incubation with anti-CA 15-3/O-VMSF/ITO, the CA 15-3/anti-CA 15-3/O-VMSF/ITO was obtained for ECL and EC testing. The concentration of CA 15-3 could be calculated by substituting the obtained ECL and EC response into the original linear equation. The results are listed in Table 2. Satisfactory recoveries ranging from 95.4% to 104.0% and an RSD below 2.9% were obtained using the ECL-EC dual-mode tests, which implied the potential for clinical application.

4. Conclusions

In summary, an ECL-EC dual-mode immunosensor with a simple fabrication strategy was designed for CA 15-3 determination with an efficient biosensing performance. The VMSF equipped on the electrode surface displays a strong electrostatic attraction to the positively charged bifunctional probes, and provides a large surface area with good biocompatibility for the biorecognition of elements binding with the aid of the crosslinker GPTMS. Integrating the merits of both the sensitivity of electrochemiluminescence and the efficiency of electrochemistry, the immunosensor demonstrated a satisfactory performance with a linear working range of more than 7 orders of magnitude and a LOD of 9 μU/mL. Furthermore, VMSF exhibits good resistance to foulants thanks to the ultrasmall diameter of nanochannels. Real sample analysis in human serum was performed, expecting to provide a new method for clinical CA 15-3 diagnosis.

Author Contributions

Conceptualization, J.L.; investigation, J.H., T.Z. and Y.Z.; data curation, J.H., T.Z. and Y.Z.; writing—original draft preparation, J.H.; writing—review and editing, J.L.; supervision, J.L. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the National Natural Science Foundation of China (21904117) and the Zhejiang Provincial Natural Science Foundation of China (LY20B050007).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Bray, F.; Ferlay, J.; Soerjomataram, I.; Siegel, R.L.; Torre, L.A.; Jemal, A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA-Cancer J. Clin. 2018, 68, 394–424. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. DeSantis, C.; Ma, J.; Bryan, L.; Jemal, A. Breast cancer statistics, 2013. CA-Cancer J. Clin. 2014, 64, 52–62. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Jing, L.; Xie, C.; Li, Q.; Yang, M.; Li, S.; Li, H.; Xia, F. Electrochemical biosensors for the analysis of breast cancer biomarkers: From design to application. Anal. Chem. 2022, 94, 269–296. [Google Scholar] [CrossRef] [PubMed]
  4. Rifai, N.; Gillette, M.A.; Carr, S.A. Protein biomarker discovery and validation: The long and uncertain path to clinical utility. Nat. Biotechnol. 2006, 24, 971–983. [Google Scholar] [CrossRef]
  5. Carneiro, M.; Rodrigues, L.; Moreira, F.; Goreti, F.; Sales, M. Paper-based ELISA for fast CA 15-3 detection in point-of-care. Microchem. J. 2022, 181, 107756. [Google Scholar] [CrossRef]
  6. Marques, R.; Costa-Rama, E.; Viswanathan, S.; Nouws, H.; Costa-García, A.; Delerue-Matos, C.; González-García, M. Voltammetric immunosensor for the simultaneous analysis of the breast cancer biomarkers CA 15-3 and HER2-ECD. Sens. Actuators B Chem. 2018, 255, 918–925. [Google Scholar] [CrossRef] [Green Version]
  7. Hasanzadeh, M.; Tagi, S.; Solhi, E.; Mokhtarzadeh, A.; Shadjou, N.; Eftekhari, A.; Mahboob, S. An innovative immunosensor for ultrasensitive detection of breast cancer specific carbohydrate (CA 15-3) in unprocessed human plasma and MCF-7 breast cancer cell lysates using gold nanospear electrochemically assembled onto thiolated graphene quantum dots. Int. J. Biol. Macromol. 2018, 114, 1008–1017. [Google Scholar] [CrossRef]
  8. Ambrosi, A.; Airo, F.; Merkoçi, A. Enhanced gold nanoparticle based ELISA for a breast cancer biomarker. Anal. Chem. 2010, 82, 1151–1156. [Google Scholar] [CrossRef]
  9. Huang, X.; Liu, H.; Fang, W.; Lin, Y.; Tan, Y. Sensitive and selective immunofluorescence assay for CA15-3 detection using fluorescein derivative A10254. Protein Pept. Lett. 2018, 25, 776–782. [Google Scholar] [CrossRef]
  10. Yang, Y.; Zhang, H.; Zhang, M.; Meng, Q.; Cai, L.; Zhang, Q. Elevation of serum CEA and CA15-3 levels during antitumor therapy predicts poor therapeutic response in advanced breast cancer patients. Oncol. Lett. 2017, 14, 7549–7556. [Google Scholar] [CrossRef] [Green Version]
  11. Zhou, H.; Ma, X.; Sailjoi, A.; Zou, Y.; Lin, X.; Yan, F.; Su, B.; Liu, J. Vertical silica nanochannels supported by nanocarbon composite for simultaneous detection of serotonin and melatonin in biological fluids. Sens. Actuators B Chem. 2022, 353, 131101. [Google Scholar] [CrossRef]
  12. Xuan, L.; Liao, W.; Wang, M.; Zhou, H.; Ding, Y.; Yan, F.; Liu, J.; Tang, H.; Xi, F. Integration of vertically-ordered mesoporous silica-nanochannel film with electro-activated glassy carbon electrode for improved electroanalysis in complex samples. Talanta 2021, 225, 122066. [Google Scholar] [CrossRef] [PubMed]
  13. Hu, Y.; Zhu, L.; Mei, X.; Liu, J.; Yao, Z.; Li, Y. Dual-mode sensing platform for electrochemiluminescence and colorimetry detection based on a closed bipolar electrode. Anal. Chem. 2021, 93, 12367–12373. [Google Scholar] [CrossRef]
  14. Mi, X.; Li, H.; Tan, R.; Tu, Y. Dual-modular aptasensor for detection of cardiac troponin I based on mesoporous silica films by electrochemiluminescence/electrochemical impedance spectroscopy. Anal. Chem. 2020, 92, 14640–14647. [Google Scholar] [CrossRef] [PubMed]
  15. Kuo, S.; Li, H.; Wu, P.; Chen, C.; Huang, Y.; Chan, Y. Dual colorimetric and fluorescent sensor based on semiconducting polymer dots for ratiometric detection of lead ions in living cells. Anal. Chem. 2015, 87, 4765–4771. [Google Scholar] [CrossRef]
  16. Xue, J.; Zhao, Q.; Yang, L.; Ma, H.; Wu, D.; Liu, L.; Ren, X.; Ju, H.; Wei, Q. Dual-mode sensing platform guided by intramolecular electrochemiluminescence of a ruthenium complex and cationic N,N-Bis(2-(trimethylammonium iodide)propylene) Perylene-3,4,9,10-tetracarboxydiimide for estradiol assay. Anal. Chem. 2021, 93, 6088–6093. [Google Scholar] [CrossRef]
  17. Gong, J.; Zhang, T.; Chen, P.; Yan, F.; Liu, J. Bipolar silica nanochannel array for dual-mode electrochemiluminescence and electrochemical immunosensing platform. Sens. Actuators B Chem. 2022, 368, 132086. [Google Scholar] [CrossRef]
  18. Ma, K.; Zheng, Y.; An, L.; Liu, J. Ultrasensitive immunosensor for prostate-specific antigen based on enhanced electrochemiluminescence by vertically ordered mesoporous silica-nanochannel film. Front. Chem. 2022, 10, 851178. [Google Scholar] [CrossRef]
  19. Zhao, T.; Elzatahry, A.; Li, X.; Zhao, D. Single-micelle-directed synthesis of mesoporous materials. Nat. Rev. Mater. 2019, 4, 775–791. [Google Scholar] [CrossRef]
  20. Liu, X.; Chen, Z.; Wang, T.; Jiang, X.; Qu, X.; Duan, W.; Xi, F.; He, Z.; Wu, J. Tissue imprinting on 2D nanoflakes-capped silicon nanowires for lipidomic mass spectrometry imaging and cancer diagnosis. ACS Nano 2022, 16, 6916–6928. [Google Scholar] [CrossRef]
  21. Cui, Y.; Duan, W.; Jin, Y.; Wo, F.; Xi, F.; Wu, J. Ratiometric fluorescent nanohybrid for noninvasive and visual monitoring of sweat glucose. ACS Sens. 2020, 5, 2096–2105. [Google Scholar] [CrossRef]
  22. Zhou, L.; Hou, H.; Wei, H.; Yao, L.; Sun, L.; Yu, P.; Su, B.; Mao, L. In vivo monitoring of oxygen in rat brain by carbon fiber microelectrode modified with antifouling nanoporous membrane. Anal. Chem. 2019, 91, 3645–3651. [Google Scholar] [CrossRef]
  23. Deng, X.; Lin, X.; Zhou, H.; Liu, J.; Tang, H. Equipment of vertically-ordered mesoporous silica film on electrochemically pretreated three-dimensional graphene electrodes for sensitive detection of methidazine in urine. Nanomaterials 2023, 13, 239. [Google Scholar] [CrossRef] [PubMed]
  24. Yang, L.; Zhang, T.; Zhou, H.; Yan, F.; Liu, Y. Silica nanochannels boosting Ru(bpy)32+-mediated electrochemical sensor for the detection of guanine in beer and pharmaceutical samples. Front. Nutrit. 2022, 9, 987442. [Google Scholar] [CrossRef] [PubMed]
  25. Mathieu, E.; Alida, Q.; David, G.; Lionel, N.; Clement, S.; Alain, W. Molecular transport into mesostructured silica thin films: Electrochemical monitoring and comparison between p6m, P63/mmc, and Pm3n structures. Chem. Mater. 2007, 19, 844–856. [Google Scholar]
  26. Nasir, T.; Herzog, G.; Hébrant, M.; Despas, C.; Liu, L.; Walcarius, A. Mesoporous silica thin films for improved electrochemical detection of paraquat. ACS Sens. 2018, 3, 484–493. [Google Scholar] [CrossRef]
  27. Zhu, X.; Xuan, L.; Gong, J.; Liu, J.; Wang, X.; Xi, F.; Chen, J. Three-dimensional macroscopic graphene supported vertically-ordered mesoporous silica-nanochannel film for direct and ultrasensitive detection of uric acid in serum. Talanta 2022, 238, 123027. [Google Scholar] [CrossRef]
  28. Zhou, H.; Ding, Y.; Su, R.; Lu, D.; Tang, H.; Xi, F. Silica nanochannel array film supported by ß-cyclodextrin-functionalized graphene modified gold film electrode for sensitive and direct electroanalysis of acetaminophen. Front. Chem. 2022, 9, 812086. [Google Scholar] [CrossRef]
  29. Zhang, M.; Zou, Y.; Zhou, X.; Yan, F.; Ding, Z. Vertically-ordered mesoporous silica films for electrochemical detection of Hg(II) ion in pharmaceuticals and soil samples. Front. Chem. 2022, 10, 952936. [Google Scholar] [CrossRef]
  30. Yan, F.; Luo, T.; Jin, Q.; Zhou, H.; Sailjoi, A.; Dong, G.; Liu, J.; Tang, W. Tailoring molecular permeability of vertically-ordered mesoporous silica-nanochannel films on graphene for selectively enhanced determination of dihydroxybenzene isomers in environmental water samples. J. Hazard. Mater. 2021, 410, 124636–124644. [Google Scholar] [CrossRef]
  31. Zhou, C.; Yan, J.; Chen, B.; Li, P.; Dong, X.; Xi, F.; Liu, J. Synthesis and application of ternary photocatalyst with a gradient band structure from two-dimensional nanosheets as precursors. RSC Adv. 2016, 6, 108955–108963. [Google Scholar] [CrossRef]
  32. Gong, J.; Zhang, T.; Luo, T.; Luo, X.; Yan, F.; Tang, W.; Liu, J. Bipolar silica nanochannel array confined electrochemiluminescence for ultrasensitive detection of SARS-CoV-2 antibody. Biosens. Bioelectron. 2022, 215, 114563. [Google Scholar] [CrossRef] [PubMed]
  33. Yan, F.; Chen, J.; Jin, Q.; Zhou, H.; Sailjoi, A.; Liu, J.; Tang, W. Fast one-step fabrication of a vertically-ordered mesoporous silica-nanochannel film on graphene for direct and sensitive detection of doxorubicin in human whole blood. J. Mater. Chem. C 2020, 8, 7113–7119. [Google Scholar] [CrossRef]
  34. Saadaoui, M.; Fernández, I.; Sánchez, A.; Díez, P.; Campuzano, S.; Raouafi, N.; Pingarrón, J.; Villalonga, R. Mesoporous silica thin film mechanized with a DNAzyme-based molecular switch for electrochemical biosensing. Electrochem. Commun. 2015, 58, 57–61. [Google Scholar] [CrossRef]
  35. Serrano, M.B.; Despas, C.; Herzog, G.; Walcarius, A. Mesoporous silica thin films for molecular sieving and electrode surface protection against biofouling. Electrochem. Commun. 2015, 52, 34–36. [Google Scholar] [CrossRef] [Green Version]
  36. Lv, N.; Qiu, X.; Han, Q.; Xi, F.; Wang, Y.; Chen, J. Anti-biofouling electrochemical sensor based on the binary nanocomposite of silica nanochannel array and graphene for doxorubicin detection in human serum and urine samples. Molecules 2022, 27, 8640. [Google Scholar] [CrossRef]
  37. Zheng, W.; Su, R.; Yu, G.; Liu, L.; Yan, F. Highly sensitive electrochemical detection of paraquat in environmental water samples using a vertically ordered mesoporous silica film and a nanocarbon composite. Nanomaterials 2022, 12, 3632. [Google Scholar] [CrossRef]
  38. Lu, L.; Zhou, L.; Chen, J.; Yan, F.; Liu, J.; Dong, X.; Xi, F.; Chen, P. Nanochannel-confined graphene quantum dots for ultrasensitive electrochemical analysis of complex samples. ACS Nano 2018, 12, 12673–12681. [Google Scholar] [CrossRef] [PubMed]
  39. Zou, Y.; Zhou, X.; Xie, L.; Tang, H.; Yan, F. Vertically-ordered mesoporous silica films grown on boron nitride-graphene composite modified electrodes for rapid and sensitive detection of carbendazim in real samples. Front. Chem. 2022, 10, 939510. [Google Scholar] [CrossRef] [PubMed]
  40. Zhou, Z.; Guo, W.; Xu, L.; Yang, Q.; Su, B. Two orders-of-magnitude enhancement in the electrochemiluminescence of Ru(bpy)32+ by vertically ordered silica mesochannels. Anal. Chim. Acta 2015, 886, 48–55. [Google Scholar] [CrossRef]
  41. Yan, F.; Ma, X.; Jin, Q.; Tong, Y.; Tang, H.; Lin, X.; Liu, J. Phenylboronic acid-functionalized vertically ordered mesoporous silica films for selective electrochemical determination of fluoride ion in tap water. Microchim. Acta 2020, 187, 470–477. [Google Scholar] [CrossRef]
  42. Yan, L.; Xu, S.; Xi, F. Disposal immunosensor for sensitive electrochemical detection of prostate-specific antigen based on amino-rich nanochannels array-modified patterned indium tin oxide electrode. Nanomaterials 2022, 12, 3810. [Google Scholar] [CrossRef]
  43. Huang, L.; Su, R.; Xi, F. Sensitive detection of noradrenaline in human whole blood based on Au nanoparticles embedded vertically-ordered silica nanochannels modified pre-activated glassy carbon electrodes. Front. Chem. 2023, 11, 1126213. [Google Scholar] [CrossRef]
  44. Fang, D.; Zhang, S.; Dai, H.; Lin, Y. An ultrasensitive ratiometric electrochemiluminescence immunosensor combining photothermal amplification for ovarian cancer marker detection. Biosens. Bioelectron. 2019, 146, 111768. [Google Scholar] [CrossRef]
  45. Aydin, E.; Aydin, M.; Sezginturk, M. New impedimetric sandwich immunosensor for ultrasensitive and highly specific detection of spike receptor binding domain protein of SARS-CoV-2. ACS Biomater. Sci. Eng. 2021, 7, 3874–3885. [Google Scholar] [CrossRef]
  46. Chen, L.; Li, Y.; Miao, L.; Pang, X.; Li, T.; Qian, Y.; Li, H. “Lighting-up” curcumin nanoparticles triggered by pH for developing improved enzyme-linked immunosorbent assay. Biosens. Bioelectron. 2021, 188, 113308. [Google Scholar] [CrossRef]
  47. Yin, B.; Wan, X.; Yang, M.; Qian, C.; Muhtasim Fuad Sohan, A.S.M. Wave-shaped microfluidic chip assisted point-of-care testing for accurate and rapid diagnosis of infections. Mil. Med. Res. 2022, 9, 8. [Google Scholar] [CrossRef]
  48. Yin, B.; Qian, C.; Wan, X.; Muhtasim Fuad Sohan, A.S.M.; Lin, X. Tape integrated self-designed microfluidic chip for point-of-care immunoassays simultaneous detection of disease biomarkers with tunable detection range. Biosens. Bioelectron. 2022, 212, 114429. [Google Scholar] [CrossRef]
  49. Lin, Z.; Zheng, S.; Xie, J.; Zhou, R.; Chen, Y.; Gao, W. A sensitive electrochemiluminescence immunosensor for the detection of CA15-3 based on CeO2/Pt/rGO as a novel co-reaction accelerator. Talanta 2023, 253, 123912. [Google Scholar] [CrossRef]
  50. Xiong, X.; Zhang, Y.; Wang, Y.; Sha, H.; Jia, N. One-step electrochemiluminescence immunoassay for breast cancer biomarker CA 15-3 based on Ru(bpy)32+-coated UiO-66-NH2 metal-organic framework. Sens. Actuators B Chem. 2019, 297, 126812. [Google Scholar] [CrossRef]
  51. Qin, D.; Jiang, X.; Mo, G.; Feng, J.; Yu, C.; Deng, B. A novel carbon quantum dots signal amplification strategy coupled with sandwich electrochemiluminescence immunosensor for the detection of CA15-3 in human serum. ACS Sens. 2019, 4, 504–512. [Google Scholar] [CrossRef] [PubMed]
  52. Wang, Y.; Sha, H.; Ke, H.; Jia, N. An ultrasensitive electrochemiluminescence immunosensor based on platinum nickel nanocubes-L-cysteine-luminol nanocomposite. Talanta 2018, 186, 322–329. [Google Scholar] [CrossRef] [PubMed]
  53. Babamiri, B.; Hallaj, R.; Salimi, A. Ultrasensitive electrochemiluminescence immunoassay for simultaneous determination of CA125 and CA15-3 tumor markers based on PAMAM-sulfanilic acid-Ru(bpy)32+ and PAMAM-CdTe@CdS nanocomposite. Biosens. Bioelectron. 2018, 99, 353–360. [Google Scholar] [CrossRef] [PubMed]
  54. Akbari Nakhjavani, S.; Khalilzadeh, B.; Samadi Pakchin, P.; Saber, R.; Ghahremani, M.; Omidi, Y. A highly sensitive and reliable detection of CA15-3 in patient plasma with electrochemical biosensor labeled with magnetic beads. Biosens. Bioelectron. 2018, 122, 8–15. [Google Scholar] [CrossRef] [PubMed]
  55. Shawky, A.; El-Tohamy, M. Signal amplification strategy of label-free ultrasenstive electrochemical immunosensor based ternary Ag/TiO2/rGO nanocomposites for detecting breast cancer biomarker CA 15-3. Mater. Chem. Phys. 2021, 272, 124983. [Google Scholar] [CrossRef]
  56. Pothipor, C.; Bamrungsap, S.; Jakmunee, J.; Ounnunkad, K. A gold nanoparticle-dye/poly(3-aminobenzylamine)/two dimensional MoSe2/graphene oxide electrode towards label-free electrochemical biosensor for simultaneous dual-mode detection of cancer antigen 15-3 and microRNA-21. Colloids Surf. B Biointerfaces 2022, 210, 112260. [Google Scholar] [CrossRef] [PubMed]
Biosensors 13 00317 sch001 550
Scheme 1. Illustration of the preparation of the immunosensor and detection of CA 15-3.
Scheme 1. Illustration of the preparation of the immunosensor and detection of CA 15-3.
Biosensors 13 00317 sch001
Biosensors 13 00317 g001 550
Figure 1. (a) Top-view of TEM images and (b) SEM image of VMSF. The inset in (a) is the corresponding TEM image with high magnification. (c) CV plots of ITO, SM@VMSF/ITO, and VMSF/ITO in 0.5 mM Ru(NH3)63+ and (d) EIS plots of ITO, SM@VMSF/ITO, and VMSF/ITO in 0.1 M KCl solution containing 2.5 mM Fe(CN)63−/4−. The scan rate in (c) was 0.05 V/s. The insets up and down in (d) are the equivalent circuit and magnified EIS plots of ITO and VMSF/ITO, respectively.
Figure 1. (a) Top-view of TEM images and (b) SEM image of VMSF. The inset in (a) is the corresponding TEM image with high magnification. (c) CV plots of ITO, SM@VMSF/ITO, and VMSF/ITO in 0.5 mM Ru(NH3)63+ and (d) EIS plots of ITO, SM@VMSF/ITO, and VMSF/ITO in 0.1 M KCl solution containing 2.5 mM Fe(CN)63−/4−. The scan rate in (c) was 0.05 V/s. The insets up and down in (d) are the equivalent circuit and magnified EIS plots of ITO and VMSF/ITO, respectively.
Biosensors 13 00317 g001
Biosensors 13 00317 g002 550
Figure 2. (a) ECL curves of ITO and VMSF/ITO in 10 μM Ru(bpy)32+ and 3 mM TPA; (b) DPV curves of ITO and VMSF/ITO in 10 μM Ru(bpy)32+.
Figure 2. (a) ECL curves of ITO and VMSF/ITO in 10 μM Ru(bpy)32+ and 3 mM TPA; (b) DPV curves of ITO and VMSF/ITO in 10 μM Ru(bpy)32+.
Biosensors 13 00317 g002
Biosensors 13 00317 g003 550
Figure 3. CV (a) and EIS (b) plots of VMSF/ITO, O-VMSF/ITO, anti-CA 15-3/O-VMSF/ITO, and CA 15-3/anti-CA 15-3/O-VMSF/ITO in a 0.1 M KCl solution containing 2.5 mM Fe(CN)63−/4−. The scan rate in (a) was 0.05 V/s.
Figure 3. CV (a) and EIS (b) plots of VMSF/ITO, O-VMSF/ITO, anti-CA 15-3/O-VMSF/ITO, and CA 15-3/anti-CA 15-3/O-VMSF/ITO in a 0.1 M KCl solution containing 2.5 mM Fe(CN)63−/4−. The scan rate in (a) was 0.05 V/s.
Biosensors 13 00317 g003
Biosensors 13 00317 g004 550
Figure 4. (a) IECL-potential curves of VMSF/ITO, O-VMSF/ITO, anti-CA 15-3/O-VMSF/ITO, and CA 15-3/anti-CA 15-3/O-VMSF/ITO in 10 μM Ru(bpy)32+. The inset in (a) shows the corresponding IECL-time curves. (b) ECL responses of the immunosensor to various concentrations of CA 15-3 from 10−4 U/mL, 10−3 U/mL, 10−2 U/mL, 10−1 U/mL, 1 U/mL, 10 U/mL to 100 U/mL. (c) The corresponding calibration curve. The error bars represent the standard deviation of three measurements under the same condition.
Figure 4. (a) IECL-potential curves of VMSF/ITO, O-VMSF/ITO, anti-CA 15-3/O-VMSF/ITO, and CA 15-3/anti-CA 15-3/O-VMSF/ITO in 10 μM Ru(bpy)32+. The inset in (a) shows the corresponding IECL-time curves. (b) ECL responses of the immunosensor to various concentrations of CA 15-3 from 10−4 U/mL, 10−3 U/mL, 10−2 U/mL, 10−1 U/mL, 1 U/mL, 10 U/mL to 100 U/mL. (c) The corresponding calibration curve. The error bars represent the standard deviation of three measurements under the same condition.
Biosensors 13 00317 g004
Biosensors 13 00317 g005 550
Figure 5. (a) DPV curves of VMSF/ITO, O-VMSF/ITO, anti-CA 15-3/O-VMSF/ITO, and CA 15-3/anti-CA 15-3/O-VMSF/ITO in 10 μM Ru(bpy)32+. (b) DPV response of anti-CA 15-3/O-VMSF/ITO in the presence of different concentrations of CA 15-3. (c) The corresponding calibration curve. The error bars represent the standard deviation of three measurements under the same condition.
Figure 5. (a) DPV curves of VMSF/ITO, O-VMSF/ITO, anti-CA 15-3/O-VMSF/ITO, and CA 15-3/anti-CA 15-3/O-VMSF/ITO in 10 μM Ru(bpy)32+. (b) DPV response of anti-CA 15-3/O-VMSF/ITO in the presence of different concentrations of CA 15-3. (c) The corresponding calibration curve. The error bars represent the standard deviation of three measurements under the same condition.
Biosensors 13 00317 g005
Biosensors 13 00317 g006 550
Figure 6. Relative ratio of ECL intensity (a) and DPV current (b) before (I0) and after (I) incubation with buffer (Control), CEA (500 ng/mL), PSA (500 ng/mL), CA 15-3 (25 U/mL), or a protein mixture (25 U/mL CA 15-3 + 500 ng/mL other proteins). The error bars represent the standard deviation of three measurements under the same condition.
Figure 6. Relative ratio of ECL intensity (a) and DPV current (b) before (I0) and after (I) incubation with buffer (Control), CEA (500 ng/mL), PSA (500 ng/mL), CA 15-3 (25 U/mL), or a protein mixture (25 U/mL CA 15-3 + 500 ng/mL other proteins). The error bars represent the standard deviation of three measurements under the same condition.
Biosensors 13 00317 g006
Table
Table 2. Detection of CA 15-3 in human serum.
Table 2. Detection of CA 15-3 in human serum.
ModeSample *Added (U/mL)Found (U/mL)RSD (%)Recovery (%)
ECL11.000.9802.198.0
5.004.801.596.0
10.010.12.0101.0
21.001.042.7104.0
5.005.122.9102.4
10.09.862.098.6
EC15.004.771.095.4
50.049.51.799.0
100.099.62.199.6
25.004.861.897.2
50.051.52.0103.0
100.0102.22.7102.2
* Diluted by PBS for 50 times and CA 15-3 was added before dilution.
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

Huang, J.; Zhang, T.; Zheng, Y.; Liu, J. Dual-Mode Sensing Platform for Cancer Antigen 15-3 Determination Based on a Silica Nanochannel Array Using Electrochemiluminescence and Electrochemistry. Biosensors 2023, 13, 317. https://doi.org/10.3390/bios13030317

AMA Style

Huang J, Zhang T, Zheng Y, Liu J. Dual-Mode Sensing Platform for Cancer Antigen 15-3 Determination Based on a Silica Nanochannel Array Using Electrochemiluminescence and Electrochemistry. Biosensors. 2023; 13(3):317. https://doi.org/10.3390/bios13030317

Chicago/Turabian Style

Huang, Jie, Tongtong Zhang, Yanyan Zheng, and Jiyang Liu. 2023. "Dual-Mode Sensing Platform for Cancer Antigen 15-3 Determination Based on a Silica Nanochannel Array Using Electrochemiluminescence and Electrochemistry" Biosensors 13, no. 3: 317. https://doi.org/10.3390/bios13030317

APA Style

Huang, J., Zhang, T., Zheng, Y., & Liu, J. (2023). Dual-Mode Sensing Platform for Cancer Antigen 15-3 Determination Based on a Silica Nanochannel Array Using Electrochemiluminescence and Electrochemistry. Biosensors, 13(3), 317. https://doi.org/10.3390/bios13030317

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