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Transcription Factor-Based Biosensors for Detecting Pathogens

Microorganisms are omnipresent and inseparable from our life. Many of them are beneficial to humans, while some are not. Importantly, foods and beverages are susceptible to microbial contamination, with their toxins causing illnesses and even death in some cases. Therefore, monitoring and detecting...

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Autores principales: Jeon, Yangwon, Lee, Yejin, Kim, Keugtae, Jang, Geupil, Yoon, Youngdae
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9312912/
https://www.ncbi.nlm.nih.gov/pubmed/35884273
http://dx.doi.org/10.3390/bios12070470
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author Jeon, Yangwon
Lee, Yejin
Kim, Keugtae
Jang, Geupil
Yoon, Youngdae
author_facet Jeon, Yangwon
Lee, Yejin
Kim, Keugtae
Jang, Geupil
Yoon, Youngdae
author_sort Jeon, Yangwon
collection PubMed
description Microorganisms are omnipresent and inseparable from our life. Many of them are beneficial to humans, while some are not. Importantly, foods and beverages are susceptible to microbial contamination, with their toxins causing illnesses and even death in some cases. Therefore, monitoring and detecting harmful microorganisms are critical to ensuring human health and safety. For several decades, many methods have been developed to detect and monitor microorganisms and their toxicants. Conventionally, nucleic acid analysis and antibody-based analysis were used to detect pathogens. Additionally, diverse chromatographic methods were employed to detect toxins based on their chemical and structural properties. However, conventional techniques have several disadvantages concerning analysis time, sensitivity, and expense. With the advances in biotechnology, new approaches to detect pathogens and toxins have been reported to compensate for the disadvantages of conventional analysis from different research fields, including electrochemistry, nanotechnology, and molecular biology. Among them, we focused on the recent studies of transcription factor (TF)-based biosensors to detect microorganisms and discuss their perspectives and applications. Additionally, the other biosensors for detecting microorganisms reported in recent studies were also introduced in this review.
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spelling pubmed-93129122022-07-26 Transcription Factor-Based Biosensors for Detecting Pathogens Jeon, Yangwon Lee, Yejin Kim, Keugtae Jang, Geupil Yoon, Youngdae Biosensors (Basel) Review Microorganisms are omnipresent and inseparable from our life. Many of them are beneficial to humans, while some are not. Importantly, foods and beverages are susceptible to microbial contamination, with their toxins causing illnesses and even death in some cases. Therefore, monitoring and detecting harmful microorganisms are critical to ensuring human health and safety. For several decades, many methods have been developed to detect and monitor microorganisms and their toxicants. Conventionally, nucleic acid analysis and antibody-based analysis were used to detect pathogens. Additionally, diverse chromatographic methods were employed to detect toxins based on their chemical and structural properties. However, conventional techniques have several disadvantages concerning analysis time, sensitivity, and expense. With the advances in biotechnology, new approaches to detect pathogens and toxins have been reported to compensate for the disadvantages of conventional analysis from different research fields, including electrochemistry, nanotechnology, and molecular biology. Among them, we focused on the recent studies of transcription factor (TF)-based biosensors to detect microorganisms and discuss their perspectives and applications. Additionally, the other biosensors for detecting microorganisms reported in recent studies were also introduced in this review. MDPI 2022-06-29 /pmc/articles/PMC9312912/ /pubmed/35884273 http://dx.doi.org/10.3390/bios12070470 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Jeon, Yangwon
Lee, Yejin
Kim, Keugtae
Jang, Geupil
Yoon, Youngdae
Transcription Factor-Based Biosensors for Detecting Pathogens
title Transcription Factor-Based Biosensors for Detecting Pathogens
title_full Transcription Factor-Based Biosensors for Detecting Pathogens
title_fullStr Transcription Factor-Based Biosensors for Detecting Pathogens
title_full_unstemmed Transcription Factor-Based Biosensors for Detecting Pathogens
title_short Transcription Factor-Based Biosensors for Detecting Pathogens
title_sort transcription factor-based biosensors for detecting pathogens
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9312912/
https://www.ncbi.nlm.nih.gov/pubmed/35884273
http://dx.doi.org/10.3390/bios12070470
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