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New Trends in Electrochemical Sensors for Biomedical Applications

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

Deadline for manuscript submissions: closed (31 March 2020) | Viewed by 12829

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Special Issue Editor

Dr. Riccarda Antiochia

E-Mail Website
Guest Editor

Department of Chemistry and Drug Technologies, Sapienza University of Rome, 00161 Rome, Italy
Interests: biosensors; electrochemical transducers; nanomaterials; direct electron transfer; microneedles

Special Issue Information

Dear Colleagues,

Sensors have gained a wide theoretical interest and practical applications in biomedicine thanks to their simplicity in operation, higher sensitivity, ability to perform multiplex analysis, and capability to be integrated into different functions by the same chip.

Over the past decade, the field of clinical diagnostics has expanded rapidly and in the coming years it will continue to be of critical importance to public health worldwide.

Biomedical sensors are an essential tool in the detection and monitoring of a wide range of medical conditions from cancer to Parkinson’s disease as well as in the monitoring of drug responses.

In an era of decentralized health systems, portable, faster, and low-cost devices are highly preferred to time-consuming and expensive centralized laboratory analysis.

The aim of the Special Issue is to focus on the most recent progress in the development of sensors in this field for early diagnostics and for routine point-of-care health monitoring. Papers should address the development of novel sensors and biosensors for single and multiple analyte detection with particular interest for minimally-invasive wearable sensors and for miniaturized sensor devices which can provide lab-on-a chip analysis systems.

Both review articles and original research papers are welcome.

Prof. Dr. Riccarda Antiochia
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. 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.

Keywords

electrochemical sensors
biosensors
immunosensors
aptasensors
wearable sensors
point-of-care devices
biomedical applications

Published Papers (3 papers)

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Research

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25 pages, 4289 KiB

Open AccessArticle

Enzymatic Platforms for Sensitive Neurotransmitter Detection

by Sylwia Baluta, Dorota Zając, Adam Szyszka, Karol Malecha and Joanna Cabaj

Sensors 2020, 20(2), 423; https://doi.org/10.3390/s20020423 - 11 Jan 2020

Cited by 18 | Viewed by 3960

Abstract

A convenient electrochemical sensing pathway was investigated for neurotransmitter detection based on newly synthesized silole derivatives and laccase/horseradish-peroxidase-modified platinum (Pt)/gold (Au) electrodes. The miniature neurotransmitter’s biosensors were designed and constructed via the immobilization of laccase in an electroactive layer of the Pt electrode coated with poly(2,6-bis(3,4-ethylenedioxythiophene)-4-methyl-4-octyl-dithienosilole) and laccase for serotonin (5-HT) detection, and a Au electrode modified with the electroconducting polymer poly(2,6-bis(selenophen-2-yl)-4-methyl-4-octyl-dithienosilole), along with horseradish peroxidase (HRP), for dopamine (DA) monitoring. These sensing arrangements utilized the catalytic oxidation of neurotransmitters to reactive quinone derivatives (the oxidation process was provided in the enzymes’ presence). Under the optimized conditions, the analytical performance demonstrated a convenient degree of sensitivity: 0.0369 and 0.0256 μA mM⁻¹ cm⁻², selectivity in a broad linear range (0.1–200) × 10⁻⁶ M) with detection limits of ≈48 and ≈73 nM (for the serotonin and dopamine biosensors, respectively). Moreover, the method was successfully applied for neurotransmitter determination in the presence of interfering compounds (ascorbic acid, L-cysteine, and uric acid). Full article

(This article belongs to the Special Issue New Trends in Electrochemical Sensors for Biomedical Applications)

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11 pages, 2036 KiB

Open AccessArticle

Single-Step Formation of Ni Nanoparticle-Modified Graphene–Diamond Hybrid Electrodes for Electrochemical Glucose Detection

by Naiyuan Cui, Pei Guo, Qilong Yuan, Chen Ye, Mingyang Yang, Minghui Yang, Kuan W. A. Chee, Fei Wang, Li Fu, Qiuping Wei, Cheng-Te Lin and Jingyao Gao

Sensors 2019, 19(13), 2979; https://doi.org/10.3390/s19132979 - 5 Jul 2019

Cited by 18 | Viewed by 3384

Abstract

The development of accurate, reliable devices for glucose detection has drawn much attention from the scientific community over the past few years. Here, we report a single-step method to fabricate Ni nanoparticle-modified graphene–diamond hybrid electrodes via a catalytic thermal treatment, by which the graphene layers are directly grown on the diamond surface using Ni thin film as a catalyst, meanwhile, Ni nanoparticles are formed in situ on the graphene surface due to dewetting behavior. The good interface between the Ni nanoparticles and the graphene guarantees efficient charge transfer during electrochemical detection. The fabricated electrodes exhibit good glucose sensing performance with a low detection limit of 2 μM and a linear detection range between 2 μM–1 mM. In addition, this sensor shows great selectivity, suggesting potential applications for sensitive and accurate monitoring of glucose in human blood. Full article

(This article belongs to the Special Issue New Trends in Electrochemical Sensors for Biomedical Applications)

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Review

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22 pages, 3425 KiB

Open AccessReview

SNAPS: Sensor Analytics Point Solutions for Detection and Decision Support Systems

by Eric S. McLamore, Shoumen Palit Austin Datta, Victoria Morgan, Nicholas Cavallaro, Greg Kiker, Daniel M. Jenkins, Yue Rong, Carmen Gomes, Jonathan Claussen, Diana Vanegas and Evangelyn C. Alocilja

Sensors 2019, 19(22), 4935; https://doi.org/10.3390/s19224935 - 13 Nov 2019

Cited by 16 | Viewed by 4934

Abstract

In this review, we discuss the role of sensor analytics point solutions (SNAPS), a reduced complexity machine-assisted decision support tool. We summarize the approaches used for mobile phone-based chemical/biological sensors, including general hardware and software requirements for signal transduction and acquisition. We introduce SNAPS, part of a platform approach to converge sensor data and analytics. The platform is designed to consist of a portfolio of modular tools which may lend itself to dynamic composability by enabling context-specific selection of relevant units, resulting in case-based working modules. SNAPS is an element of this platform where data analytics, statistical characterization and algorithms may be delivered to the data either via embedded systems in devices, or sourced, in near real-time, from mist, fog or cloud computing resources. Convergence of the physical systems with the cyber components paves the path for SNAPS to progress to higher levels of artificial reasoning tools (ART) and emerge as data-informed decision support, as a service for general societal needs. Proof of concept examples of SNAPS are demonstrated both for quantitative data and qualitative data, each operated using a mobile device (smartphone or tablet) for data acquisition and analytics. We discuss the challenges and opportunities for SNAPS, centered around the value to users/stakeholders and the key performance indicators users may find helpful, for these types of machine-assisted tools. Full article

(This article belongs to the Special Issue New Trends in Electrochemical Sensors for Biomedical Applications)

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