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Biosensors for Surveillance and Diagnosis
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Biosensors for Surveillance and Diagnosis

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".

Deadline for manuscript submissions: closed (10 July 2023) | Viewed by 11780

Special Issue Editors

Prof. Dr. Manoranjan Misra

E-Mail Website
Guest Editor
Chemical & Materials Engineering Department, University of Nevada, Reno, NV 89557, USA
Interests: electrochemical electrodes; anodes; electrochemical analysis; Li-ion batteries; advanced material structures
Special Issues, Collections and Topics in MDPI journals
Dr. Timsy Uppal

E-Mail Website
Guest Editor
Reno School of Medicine, University of Nevada, 1664 North Virginia St. Center for Molecular Medicine 214/MS 320, Reno, NV 89557, USA
Interests: herpesvirology; infectious diseases; virus reactivation and epigenetic modulation; zika virus pathogenesis; anti-SARS-CoV-2 drug development

Special Issue Information

Dear Colleagues,

A biosensor is a powerful prognostic analytical tool that combines a biocatalyst with a physicochemical detector. Since the discovery of the first biosensor by Leland C. Clark Jr. in 1956 for oxygen detection, biosensors have become highly versatile platforms for a broad range of applications in different areas, including the healthcare sector. The effective early detection of disease (lacking outward signs/symptoms), timely initiation of care, and overall treatment outcome are essential for preventive screening, and could lead to an increase in patient health and quality of life.

Conventional in vitro diagnostic techniques for infectious diseases are less efficient, time-consuming, and require laboratory-trained personnel as well as bulky lab instruments. Modern diagnostic biosensors, on the other hand, are portable, rapid, non-invasive, highly sensitive, and specific with the potential to deliver point-of-care diagnostics in a cost-effective manner. Despite clinical need, the translation of biosensors from bench-to-bedside applications has remained limited.

This Special Issue invites authors from academia and industry to submit new research results, clinical findings, and reviews about innovations and novel applications focused on biosensors for surveillance and diagnosis.

The main topics include, but are not limited to:

  • Recent advances in biosensing techniques and applications;
  • Newer approaches in disease detection and progression;
  • Healthcare monitoring;
  • Point-of-care testing.

Prof. Manoranjan Misra
Dr. Timsy Uppal
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

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Published Papers (4 papers)

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Research

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12 pages, 2336 KiB  
Article
Bioluminescent-Triple-Enzyme-Based Biosensor with Lactate Dehydrogenase for Non-Invasive Training Load Monitoring
by Galina V. Zhukova, Oleg S. Sutormin, Irina E. Sukovataya, Natalya V. Maznyak and Valentina A. Kratasyuk
Sensors 2023, 23(5), 2865; https://doi.org/10.3390/s23052865 - 6 Mar 2023
Cited by 3 | Viewed by 2232
Abstract
Saliva is one of the most significant biological liquids for the development of a simple, rapid, and non-invasive biosensor for training load diagnostics. There is an opinion that enzymatic bioassays are more relevant in terms of biology. The present paper is aimed at [...] Read more.
Saliva is one of the most significant biological liquids for the development of a simple, rapid, and non-invasive biosensor for training load diagnostics. There is an opinion that enzymatic bioassays are more relevant in terms of biology. The present paper is aimed at investigating the effects of saliva samples, upon altering the lactate content, on the activity of a multi-enzyme, namely lactate dehydrogenase + NAD(P)H:FMN-oxidoreductase + luciferase (LDH + Red + Luc). Optimal enzymes and their substrate composition of the proposed multi-enzyme system were chosen. During the tests of the lactate dependence, the enzymatic bioassay showed good linearity to lactate in the range from 0.05 mM to 0.25 mM. The activity of the LDH + Red + Luc enzyme system was tested in the presence of 20 saliva samples taken from students whose lactate levels were compared by the Barker and Summerson colorimetric method. The results showed a good correlation. The proposed LDH + Red + Luc enzyme system could be a useful, competitive, and non-invasive tool for correct and rapid monitoring of lactate in saliva. This enzyme-based bioassay is easy to use, rapid, and has the potential to deliver point-of-care diagnostics in a cost-effective manner. Full article
(This article belongs to the Special Issue Biosensors for Surveillance and Diagnosis)
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14 pages, 1998 KiB  
Article
A Novel Strategy for Selective Thyroid Hormone Determination Based on an Electrochemical Biosensor with Graphene Nanocomposite
by Sylwia Baluta, Marta Romaniec, Kinga Halicka-Stępień, Michalina Alicka, Aleksandra Pieła, Katarzyna Pala and Joanna Cabaj
Sensors 2023, 23(2), 602; https://doi.org/10.3390/s23020602 - 5 Jan 2023
Cited by 10 | Viewed by 2344
Abstract
This article presents a novel and selective electrochemical bioassay with antibody and laccase for the determination of free thyroid hormone (free triiodothyronine, fT3). The biosensor was based on a glassy carbon electrode modified with a Fe3O4@graphene nanocomposite with semiconducting [...] Read more.
This article presents a novel and selective electrochemical bioassay with antibody and laccase for the determination of free thyroid hormone (free triiodothyronine, fT3). The biosensor was based on a glassy carbon electrode modified with a Fe3O4@graphene nanocomposite with semiconducting properties, an antibody (anti-PDIA3) with high affinity for fT3, and laccase, which was responsible for catalyzing the redox reaction of fT3. The electrode modification procedure was investigated using a cyclic voltammetry technique, based on the response of the peak current after modifications. All characteristic working parameters of the developed biosensor were analyzed using differential pulse voltammetry. Obtained experimental results showed that the biosensor revealed a sensitive response to fT3 in a concentration range of 10–200 µM, a detection limit equal to 27 nM, and a limit of quantification equal to 45.9 nM. Additionally, the constructed biosensor was selective towards fT3, even in the presence of interference substances: ascorbic acid, tyrosine, and levothyroxine, and was applied for the analysis of fT3 in synthetic serum samples with excellent recovery results. The designed biosensor also exhibited good stability and can find application in future medical diagnostics. Full article
(This article belongs to the Special Issue Biosensors for Surveillance and Diagnosis)
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10 pages, 40763 KiB  
Article
A Smartphone-Based Disposable Hemoglobin Sensor Based on Colorimetric Analysis
by Zhuolun Meng, Muhammad Tayyab, Zhongtian Lin, Hassan Raji and Mehdi Javanmard
Sensors 2023, 23(1), 394; https://doi.org/10.3390/s23010394 - 30 Dec 2022
Cited by 3 | Viewed by 3193
Abstract
Hemoglobin is a biomarker of interest for the diagnosis and prognosis of various diseases such as anemia, sickle cell disease, and thalassemia. In this paper, we present a disposable device that has the potential of being used in a setting for accurately quantifying [...] Read more.
Hemoglobin is a biomarker of interest for the diagnosis and prognosis of various diseases such as anemia, sickle cell disease, and thalassemia. In this paper, we present a disposable device that has the potential of being used in a setting for accurately quantifying hemoglobin levels in whole blood based on colorimetric analysis using a smartphone camera. Our biosensor employs a disposable microfluidic chip which is made using medical-grade tapes and filter paper on a glass slide in conjunction with a custom-made PolyDimethylSiloaxane (PDMS) micropump for enhancing capillary flow. Once the blood flows through the device, the glass slide is imaged using a smartphone equipped with a custom 3D printed attachment. The attachment has a Light Emitting Diode (LED) that functions as an independent light source to reduce the noise caused by background illumination and external light sources. We then use the RGB values obtained from the image to quantify the hemoglobin levels. We demonstrated the capability of our device for quantifying hemoglobin in Bovine Hemoglobin Powder, Frozen Beef Blood, and human blood. We present a logarithmic model that specifies the relationship between the Red channel of the RGB values and Hemoglobin concentration. Full article
(This article belongs to the Special Issue Biosensors for Surveillance and Diagnosis)
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Review

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21 pages, 4563 KiB  
Review
Signal Amplification-Based Biosensors and Application in RNA Tumor Markers
by Haiping Li, Zhikun Zhang, Lu Gan, Dianfa Fan, Xinjun Sun, Zhangbo Qian, Xiyu Liu and Yong Huang
Sensors 2023, 23(9), 4237; https://doi.org/10.3390/s23094237 - 24 Apr 2023
Cited by 3 | Viewed by 3138
Abstract
Tumor markers are important substances for assessing cancer development. In recent years, RNA tumor markers have attracted significant attention, and studies have shown that their abnormal expression of post-transcriptional regulatory genes is associated with tumor progression. Therefore, RNA tumor markers are considered as [...] Read more.
Tumor markers are important substances for assessing cancer development. In recent years, RNA tumor markers have attracted significant attention, and studies have shown that their abnormal expression of post-transcriptional regulatory genes is associated with tumor progression. Therefore, RNA tumor markers are considered as potential targets in clinical diagnosis and prognosis. Many studies show that biosensors have good application prospects in the field of medical diagnosis. The application of biosensors in RNA tumor markers is developing rapidly. These sensors have the advantages of high sensitivity, excellent selectivity, and convenience. However, the detection abundance of RNA tumor markers is low. In order to improve the detection sensitivity, researchers have developed a variety of signal amplification strategies to enhance the detection signal. In this review, after a brief introduction of the sensing principles and designs of different biosensing platforms, we will summarize the latest research progress of electrochemical, photoelectrochemical, and fluorescent biosensors based on signal amplification strategies for detecting RNA tumor markers. This review provides a high sensitivity and good selectivity sensing platform for early-stage cancer research. It provides a new idea for the development of accurate, sensitive, and convenient biological analysis in the future, which can be used for the early diagnosis and monitoring of cancer and contribute to the reduction in the mortality rate. Full article
(This article belongs to the Special Issue Biosensors for Surveillance and Diagnosis)
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