Life | Special Issue : Recent Advances in Biosensor Technology for Detection Purposes: 2nd Edition

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Recent Advances in Biosensor Technology for Detection Purposes: 2nd Edition

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Special Issue Information

Dear Colleagues,

The editors are grateful to the many researchers who contributed to the success of the first volume of this issue (https://www.mdpi.com/journal/life/special_issues/Biosensor_Detection). We are very pleased to announce the second volume of our Special Issue.

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

This Special Issue aims to highlight novel detection approaches using biosensor technology that can enhance the performance of these devices and facilitate their complete application in biosensing. They may include the design and fabrication of new biosensors with high sensitivity and selection abilities using nanomaterials and devices, including fluorescence sensors, electrochemical sensors, surface plasmon resonance, chemiluminescence sensors, and single-molecule sensors. In view of this, applications using biosensors include, but are 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 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 purposes. 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
high sensitivity

Published Papers (2 papers)

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Research

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14 pages, 1978 KiB

Open AccessArticle

Phage Biosensor for the Classification of Metastatic Urological Cancers from Urine

by Vilhelmiina Juusti, Antti Rannikko, Anu Laurila, Maria Sundvall, Pekka Hänninen and Janne Kulpakko

Life 2024, 14(5), 600; https://doi.org/10.3390/life14050600 - 8 May 2024

Viewed by 886

Abstract

Most of the annual 10 million cancer-related deaths are caused by metastatic disease. Survival rates for cancer are strongly dependent on the type of cancer and its stage at detection. Early detection remains a challenge due to the lack of reliable biomarkers and cost-efficient screening methods. Phage biosensors can offer a solution for early detection using non-invasive liquid biopsies. Here, we report the first results of the bifunctional phage biosensor to detect metastatic urological cancers from urine. A dye-sensitized phage library was used to select metastasis-related phage binders. After selection rounds, the most promising phage candidate was used to classify metastatic cancer from controls. Additionally, we applied one chemical sensor (phenoxazine non-fluorescent dye) to classify cancer from urine. A statistical significance (p = 0.0002) was observed between metastatic and non-metastatic cancer, with sensitivity of 70% and specificity of 79%. Furthermore, the chemical sensor demonstrated significance in detecting cancer (p < 0.0001) with a sensitivity of 71% and a specificity of 75%. Our data suggest a new promising field for urine biomarker research, and further evaluation with prospectively collected samples is ongoing. In conclusion, we report, for the first time, the potential of a chemical- and phage-based biosensor method to detect metastatic cancer using urine. Full article

(This article belongs to the Special Issue Recent Advances in Biosensor Technology for Detection Purposes: 2nd Edition)

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Review

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21 pages, 3185 KiB

Open AccessReview

Innovative Biosensing Approaches for Swift Identification of Candida Species, Intrusive Pathogenic Organisms

by Dionisio Lorenzo Lorenzo-Villegas, Namra Vinay Gohil, Paula Lamo, Swathi Gurajala, Iulia Cristina Bagiu, Dan Dumitru Vulcanescu, Florin George Horhat, Virgiliu Bogdan Sorop, Mircea Diaconu, Madalina Ioana Sorop, Andrada Oprisoni, Razvan Mihai Horhat, Monica Susan and ArunSundar MohanaSundaram

Life 2023, 13(10), 2099; https://doi.org/10.3390/life13102099 - 22 Oct 2023

Cited by 2 | Viewed by 1727

Abstract

Candida is the largest genus of medically significant fungi. Although most of its members are commensals, residing harmlessly in human bodies, some are opportunistic and dangerously invasive. These have the ability to cause severe nosocomial candidiasis and candidemia that affect the viscera and bloodstream. A prompt diagnosis will lead to a successful treatment modality. The smart solution of biosensing technologies for rapid and precise detection of Candida species has made remarkable progress. The development of point-of-care (POC) biosensor devices involves sensor precision down to pico-/femtogram level, cost-effectiveness, portability, rapidity, and user-friendliness. However, futuristic diagnostics will depend on exploiting technologies such as multiplexing for high-throughput screening, CRISPR, artificial intelligence (AI), neural networks, the Internet of Things (IoT), and cloud computing of medical databases. This review gives an insight into different biosensor technologies designed for the detection of medically significant Candida species, especially Candida albicans and C. auris, and their applications in the medical setting. Full article

(This article belongs to the Special Issue Recent Advances in Biosensor Technology for Detection Purposes: 2nd Edition)

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