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Recent Advances in Biosensor Technology for Detection

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A special issue of Life (ISSN 2075-1729). This special issue belongs to the section "Biochemistry, Biophysics and Computational Biology".

Deadline for manuscript submissions: closed (11 January 2023) | Viewed by 12577

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Special Issue Editor

Dr. Li Gao

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Guest Editor

School of Life Sciences, Jiangsu University, Zhenjiang, China
Interests: detection; sensors; high sensitivity
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Biosensors are analytical devices composed of recognition elements coupled with a physical transducer, which can be very advantageous for the analysis of detection targets. They include sensors, DNA chips, electronic noses, lab-on-a-chip, and μ-TAS. They have been applied in a wide range of analytical problems, including uses in biomedical research, medicine, environmental management, drug discovery, food processing, industrial processes, security, and defense.

The aim of this Special Issue is to highlight a novel detection using biosensor technology that can enhance the performance of these devices as well as enable their complete application in biosensing. This may include the design and fabrication of new biosensors with high sensitivity and selection using nanomaterials and devices, including fluorescence sensors, electrochemical sensors, surface plasmon resonance, chemiluminescence sensors, and single-molecule sensors. In view of this, the applications using the biosensors are developed, but not limited to, disease diagnostics, therapy monitoring, pollutant analysis, pathogen detection, and food safety. New-fangled methods and technological advances are developed for the detection of biosensors that can augment the ultimate sensitivity. The proposed topic will be devoted to high-quality research articles as well as innovative review papers that highlight recent advancements in biosensors technology for detection. We welcome, and look forward to, your participation in this topic.

Dr. Li Gao
Guest Editor

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. Life is an international peer-reviewed open access monthly 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.

Keywords

biosensors
detection
highly sensitive

Published Papers (4 papers)

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Research

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10 pages, 2457 KiB

Open AccessArticle

Ultrasensitive and Selective Detection of Glutathione by Ammonium Carbamate–Gold Platinum Nanoparticles-Based Electrochemical Sensor

by Wei Wang, Jiandan Chen, Zhenzeng Zhou, Shanshan Zhan, Zhiyuan Xing, Hongying Liu and Linan Zhang

Life 2022, 12(8), 1142; https://doi.org/10.3390/life12081142 - 28 Jul 2022

Cited by 6 | Viewed by 1567

Abstract

Determining the concentration of glutathione is crucial for developing workable medical diagnostic strategies. In this paper, we developed an electrochemical sensor by electrodepositing amino-based reactive groups and gold–platinum nanomaterials on the surface of glassy carbon electrode successively. The sensor was characterized by cyclic voltammetry (CV), field emission scanning electron microscope (FESEM), energy dispersive X-ray spectroscopy (EDX), and electrochemical impedance spectra (EIS). Results showed that Au@Pt nanoparticles with the size of 20–40 nm were presented on the surface of electrode. The sensor exhibits excellent electrocatalytic oxidation towards glutathione. Based on this, we devised an electrochemical biosensor for rapid and sensitive detection of glutathione. After optimizing experimental and operational conditions, a linear response for the concentration of GSH, in the range of 0.1–11 μmol/L, with low detection and quantification limits of 0.051 μM (S/N = 3), were obtained. The sensor also exhibits superior selectivity, reproducibility, low cost, as well as simple preparation and can be applied in human serum sample detection. Full article

(This article belongs to the Special Issue Recent Advances in Biosensor Technology for Detection)

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10 pages, 4630 KiB

Open AccessArticle

Preparation of Copper Nanoplates in Aqueous Phase and Electrochemical Detection of Dopamine

by Lijian Xu, Sijia Tang, Ling Zhang, Jingjing Du, Jianxiong Xu, Na Li and Zengmin Tang

Life 2022, 12(7), 999; https://doi.org/10.3390/life12070999 - 5 Jul 2022

Cited by 2 | Viewed by 1989

Abstract

Compared with gold and silver, cheap copper has attracted more attention and can potentially be applied in non-enzymatic electrochemical sensors due to its excellent conductivity and catalytic activity. In this paper, copper nanoplates were rapidly synthesized using copper bromide as the copper precursor, polyethyleneimine as the stabilizer, and ascorbic acid as a reducing agent in the presence of silver nanoparticles at a reaction temperature of 90 °C. The Cu nanoplates with an average side length of 10.97 ± 3.45 μm were obtained after a short reaction time of 2 h, demonstrating the promoting effect of an appropriate amount of silver nanoparticle on the synthesis of Cu nanoplates. Then, the electrochemical dopamine sensor was constructed by modifying a glass carbon electrode (GCE) with the Cu nanoplates. The results obtained from the test of cyclic voltammetry and chronoamperometry indicated that the Cu-GCE showed a significant electrochemical response for the measurement of dopamine. The oxidation peak current increased linearly with the concentration of dopamine in the range of 200 µmol/L to 2.21 mmol/L, and the corresponding detection limit was calculated to be 62.4 μmol/L (S/N = 3). Furthermore, the anti-interference test showed that the dopamine sensor was not affected by a high concentration of ascorbic acid, glucose, uric acid, etc. Therefore, the constructed Cu-GCE with good selectivity, sensitivity, and stability possesses a high application value in the detection of dopamine. Full article

(This article belongs to the Special Issue Recent Advances in Biosensor Technology for Detection)

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Review

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26 pages, 3607 KiB

Open AccessReview

Biosensors Based on Phenol Oxidases (Laccase, Tyrosinase, and Their Mixture) for Estimating the Total Phenolic Index in Food-Related Samples

by Aleksey Tarasov, Natalia Stozhko, Maria Bukharinova and Ekaterina Khamzina

Life 2023, 13(2), 291; https://doi.org/10.3390/life13020291 - 20 Jan 2023

Cited by 9 | Viewed by 2891

Abstract

Plant phenolic compounds demonstrate bioactive properties in vitro and/or in vivo, which creates demand for their precise determination in life sciences and industry. Measuring the concentration of individual phenolic compounds is a complex task, since approximately 9000 plant phenolic substances have been identified so far. The determination of the total phenolic content (TPC) is less laborious and is used for the qualimetric evaluation of complex multicomponent samples in routine analyses. Biosensors based on phenol oxidases (POs) have been proposed as alternative analytical devices for detecting phenolic compounds; however, their effectiveness in the analysis of food and vegetal matrices has not been addressed in detail. This review describes catalytic properties of laccase and tyrosinase and reports on the enzymatic and bienzymatic sensors based on laccase and tyrosinase for estimating the total phenolic index (TPI) in food-related samples (FRSs). The review presents the classification of biosensors, POs immobilization, the functions of nanomaterials, the biosensing catalytic cycle, interference, validation, and some other aspects related to TPI assessment. Nanomaterials are involved in the processes of immobilization, electron transfer, signal formation, and amplification, and they improve the performance of PO-based biosensors. Possible strategies for reducing interference in PO-based biosensors are discussed, namely the removal of ascorbic acid and the use of highly purified enzymes. Full article

(This article belongs to the Special Issue Recent Advances in Biosensor Technology for Detection)

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23 pages, 2090 KiB

Open AccessReview

A Review of Biosensors for Detecting Tumor Markers in Breast Cancer

by Rui Hong, Hongyu Sun, Dujuan Li, Weihuang Yang, Kai Fan, Chaoran Liu, Linxi Dong and Gaofeng Wang

Life 2022, 12(3), 342; https://doi.org/10.3390/life12030342 - 25 Feb 2022

Cited by 27 | Viewed by 5444

Abstract

Breast cancer has the highest cancer incidence rate in women. Early screening of breast cancer can effectively improve the treatment effect of patients. However, the main diagnostic techniques available for the detection of breast cancer require the corresponding equipment, professional practitioners, and expert analysis, and the detection cost is high. Tumor markers are a kind of active substance that can indicate the existence and growth of the tumor. The detection of tumor markers can effectively assist the diagnosis and treatment of breast cancer. The conventional detection methods of tumor markers have some shortcomings, such as insufficient sensitivity, expensive equipment, and complicated operations. Compared with these methods, biosensors have the advantages of high sensitivity, simple operation, low equipment cost, and can quantitatively detect all kinds of tumor markers. This review summarizes the biosensors (2013–2021) for the detection of breast cancer biomarkers. Firstly, the various reported tumor markers of breast cancer are introduced. Then, the development of biosensors designed for the sensitive, stable, and selective recognition of breast cancer biomarkers was systematically discussed, with special attention to the main clinical biomarkers, such as human epidermal growth factor receptor-2 (HER2) and estrogen receptor (ER). Finally, the opportunities and challenges of developing efficient biosensors in breast cancer diagnosis and treatment are discussed. Full article

(This article belongs to the Special Issue Recent Advances in Biosensor Technology for Detection)

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