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Biosensors
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Advances in Electrochemical, Photonic and Optoelectronic Biosensor Technologies for Rapid...
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Advances in Electrochemical, Photonic and Optoelectronic Biosensor Technologies for Rapid Point-of-Care Diagnostics

A special issue of Biosensors (ISSN 2079-6374). This special issue belongs to the section "Biosensor and Bioelectronic Devices".

Deadline for manuscript submissions: closed (31 March 2025) | Viewed by 6400

Special Issue Editor

Dr. Young-Joon Kim

E-Mail Website
Guest Editor
Department of Electronic Engineering, Gachon University, Seongnam 13120, Republic of Korea
Interests: continuous physiological signal monitoring; biosensors; wireless power transfer
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Biosensors are innovative analytical devices that integrate biological recognition elements with electrochemical transducers to rapidly and accurately detect significant analytes. They represent a substantial leap forward in rapid detection and point-of-care diagnostics, offering numerous advantages in terms of cost-effectiveness, user-friendliness, portability, and accuracy. Moreover, their continued development, alongside advances in photonic and optoelectronic systems, promises to revolutionize healthcare and environmental monitoring by enabling more timely and precise detection of target analytes. The integration of photonic and optoelectronic technologies enhances the sensitivity, speed, and versatility of biosensors, further expanding their applications in real-time analysis. Therefore, this Special Issue highlights recent advances in the design and development of various electrochemical biosensors, as well as photonic and optoelectronic systems, and their applications in the rapid detection of significant analytes for point-of-care diagnostics. These include fundamental research, technique development, and device fabrication in the following areas.

Dr. Young-Joon Kim
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. Biosensors 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 2200 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 biosensors
  • modified electrodes
  • electrocatalysts
  • wearable sensors
  • continuous monitoring
  • flexible sensors
  • potentiometric sensors
  • amperometric sensors
  • sweat sensors
  • microneedle sensors

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (4 papers)

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Research

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17 pages, 3905 KiB  
Article
A Portable UV-LED/RGB Sensor for Real-Time Bacteriological Water Quality Monitoring Using ML-Based MPN Estimation
by Andrés Saavedra-Ruiz and Pedro J. Resto-Irizarry
Biosensors 2025, 15(5), 284; https://doi.org/10.3390/bios15050284 - 30 Apr 2025
Viewed by 209
Abstract
Bacteriological water quality monitoring is of utmost importance for safeguarding public health against waterborne diseases. Traditional methods such as membrane filtration (MF), multiple tube fermentation (MTF), and enzyme-based assays are effective in detecting fecal contamination indicators, but their time-consuming nature and reliance on [...] Read more.
Bacteriological water quality monitoring is of utmost importance for safeguarding public health against waterborne diseases. Traditional methods such as membrane filtration (MF), multiple tube fermentation (MTF), and enzyme-based assays are effective in detecting fecal contamination indicators, but their time-consuming nature and reliance on specialized equipment and personnel pose significant limitations. This paper introduces a novel, portable, and cost-effective UV-LED/RGB water quality sensor that overcomes these challenges. The system is composed of a multi-well self-loading microfluidic device for sample-preparation-free analysis, RGB sensors for data acquisition, UV-LEDs for excitation, and a portable incubation system. Commercially available defined substrate technology, most probable number (MPN) analysis, and machine learning (ML) are combined for the real-time monitoring of bacteria colony-forming units (CFU) in a water sample. Fluorescence signals from individual wells are captured by the RGB sensors and analyzed using Multilayer Perceptron Neural Network (MLPNN) and Support Vector Machine (SVM) algorithms, which can quickly determine if individual wells will be positive or negative by the end of a 24 h period. The novel combination of ML and MPN analysis was shown to predict in 30 min the bacterial concentration of a water sample with a minimum prediction accuracy of 84%. Full article
(This article belongs to the Special Issue Advances in Electrochemical, Photonic and Optoelectronic Biosensor Technologies for Rapid Point-of-Care Diagnostics)
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12 pages, 12255 KiB  
Article
A New Caffeine Detection Method Using a Highly Multiplexed Smartphone-Based Spectrometer
by Erhuan Zhuo, Huanxin Xia, Huan Hu and Yu Lin
Biosensors 2024, 14(12), 590; https://doi.org/10.3390/bios14120590 - 3 Dec 2024
Viewed by 1491
Abstract
Smartphones equipped with highly integrated sensors are increasingly being recognized as powerful tools for rapid on-site testing. Here, we propose a low-cost, portable, and highly multiplexed smartphone-based spectrometer capable of collecting three types of spectra—transmission, reflection, and fluorescence—by simply replacing the optical fiber [...] Read more.
Smartphones equipped with highly integrated sensors are increasingly being recognized as powerful tools for rapid on-site testing. Here, we propose a low-cost, portable, and highly multiplexed smartphone-based spectrometer capable of collecting three types of spectra—transmission, reflection, and fluorescence—by simply replacing the optical fiber attached to the housing. Spectral analysis is performed directly on the smartphone using a custom-developed app. Furthermore, we introduce a high signal-to-noise ratio (SNR) caffeine detection scheme that leverages aspirin and salicylic acid as fluorescent probes, allowing for the rapid and straightforward detection of caffeine in various samples. The fluorescence quenching of the probes was found to be linearly related to the caffeine concentration (0–200 μM), and the recoveries of the commercially available caffeine-containing samples were in the range of 98.0333–105.6000%, with a limit of detection (LOD) of 2.58 μM. The reliability and stability of the on-site assay using the smartphone spectrometer were verified. More importantly, this spectrometer demonstrates great potential as a versatile device for use outside of laboratory settings by enabling different operating modes tailored to various scenarios. Full article
(This article belongs to the Special Issue Advances in Electrochemical, Photonic and Optoelectronic Biosensor Technologies for Rapid Point-of-Care Diagnostics)
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11 pages, 1930 KiB  
Article
Aptamer-Mediated Electrochemical Detection of SARS-CoV-2 Nucleocapsid Protein in Saliva
by Ryan H. P. Siu, Robert G. Jesky, Yu-Jing Fan, Cyrus C. H. Au-Yeung, Andrew B. Kinghorn, Kwok-Hung Chan, Ivan Fan-Ngai Hung and Julian A. Tanner
Biosensors 2024, 14(10), 471; https://doi.org/10.3390/bios14100471 - 30 Sep 2024
Viewed by 2007
Abstract
Gold standard detection of SARS-CoV-2 by reverse transcription quantitative PCR (RT-qPCR) can achieve ultrasensitive viral detection down to a few RNA copies per sample. Yet, the lengthy detection and labor-intensive protocol limit its effectiveness in community screening. In view of this, a structural [...] Read more.
Gold standard detection of SARS-CoV-2 by reverse transcription quantitative PCR (RT-qPCR) can achieve ultrasensitive viral detection down to a few RNA copies per sample. Yet, the lengthy detection and labor-intensive protocol limit its effectiveness in community screening. In view of this, a structural switching electrochemical aptamer-based biosensor (E-AB) targeting the SARS-CoV-2 nucleocapsid (N) protein was developed. Four N protein-targeting aptamers were characterized on an electrochemical cell configuration using square wave voltammetry (SWV). The sensor was investigated in an artificial saliva matrix optimizing the aptamer anchoring orientation, SWV interrogation frequency, and target incubation time. Rapid detection of the N protein was achieved within 5 min at a low nanomolar limit of detection (LOD) with high specificity. Specific N protein detection was also achieved in simulated positive saliva samples, demonstrating its feasibility for saliva-based rapid diagnosis. Further research will incorporate novel signal amplification strategies to improve sensitivity for early diagnosis. Full article
(This article belongs to the Special Issue Advances in Electrochemical, Photonic and Optoelectronic Biosensor Technologies for Rapid Point-of-Care Diagnostics)
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Review

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28 pages, 2948 KiB  
Review
Integration of Functional Materials in Photonic and Optoelectronic Technologies for Advanced Medical Diagnostics
by Naveen Thanjavur, Laxmi Bugude and Young-Joon Kim
Biosensors 2025, 15(1), 38; https://doi.org/10.3390/bios15010038 - 10 Jan 2025
Cited by 3 | Viewed by 2195
Abstract
Integrating functional materials with photonic and optoelectronic technologies has revolutionized medical diagnostics, enhancing imaging and sensing capabilities. This review provides a comprehensive overview of recent innovations in functional materials, such as quantum dots, perovskites, plasmonic nanomaterials, and organic semiconductors, which have been instrumental [...] Read more.
Integrating functional materials with photonic and optoelectronic technologies has revolutionized medical diagnostics, enhancing imaging and sensing capabilities. This review provides a comprehensive overview of recent innovations in functional materials, such as quantum dots, perovskites, plasmonic nanomaterials, and organic semiconductors, which have been instrumental in the development of diagnostic devices characterized by high sensitivity, specificity, and resolution. Their unique optical properties enable real-time monitoring of biological processes, advancing early disease detection and personalized treatment. However, challenges such as material stability, reproducibility, scalability, and environmental sustainability remain critical barriers to their clinical translation. Breakthroughs such as green synthesis, continuous flow production, and advanced surface engineering are addressing these limitations, paving the way for next-generation diagnostic tools. This article highlights the transformative potential of interdisciplinary research in overcoming these challenges and emphasizes the importance of sustainable and scalable strategies for harnessing functional materials in medical diagnostics. The ultimate goal is to inspire further innovation in the field, enabling the creation of practical, cost-effective, and environmentally friendly diagnostic solutions. Full article
(This article belongs to the Special Issue Advances in Electrochemical, Photonic and Optoelectronic Biosensor Technologies for Rapid Point-of-Care Diagnostics)
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