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Pan M, Zhao Y, Qiao J, Meng X. Electrochemical biosensors for pathogenic microorganisms detection based on recognition elements. Folia Microbiol (Praha) 2024; 69:283-304. [PMID: 38367165 DOI: 10.1007/s12223-024-01144-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Accepted: 01/29/2024] [Indexed: 02/19/2024]
Abstract
The worldwide spread of pathogenic microorganisms poses a significant risk to human health. Electrochemical biosensors have emerged as dependable analytical tools for the point-of-care detection of pathogens and can effectively compensate for the limitations of conventional techniques. Real-time analysis, high throughput, portability, and rapidity make them pioneering tools for on-site detection of pathogens. Herein, this work comprehensively reviews the recent advances in electrochemical biosensors for pathogen detection, focusing on those based on the classification of recognition elements, and summarizes their principles, current challenges, and prospects. This review was conducted by a systematic search of PubMed and Web of Science databases to obtain relevant literature and construct a basic framework. A total of 171 publications were included after online screening and data extraction to obtain information of the research advances in electrochemical biosensors for pathogen detection. According to the findings, the research of electrochemical biosensors in pathogen detection has been increasing yearly in the past 3 years, which has a broad development prospect, but most of the biosensors have performance or economic limitations and are still in the primary stage. Therefore, significant research and funding are required to fuel the rapid development of electrochemical biosensors. The overview comprehensively evaluates the recent advances in different types of electrochemical biosensors utilized in pathogen detection, with a view to providing insights into future research directions in biosensors.
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Affiliation(s)
- Mengting Pan
- School of Medical Laboratory, Weifang Medical University, Weifang, 261053, Shandong, China
| | - Yurui Zhao
- School of Medical Laboratory, Weifang Medical University, Weifang, 261053, Shandong, China
| | - Jinjuan Qiao
- School of Medical Laboratory, Weifang Medical University, Weifang, 261053, Shandong, China
| | - Xiangying Meng
- School of Medical Laboratory, Weifang Medical University, Weifang, 261053, Shandong, China.
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Kabiraz MP, Majumdar PR, Mahmud MC, Bhowmik S, Ali A. Conventional and advanced detection techniques of foodborne pathogens: A comprehensive review. Heliyon 2023; 9:e15482. [PMID: 37151686 PMCID: PMC10161726 DOI: 10.1016/j.heliyon.2023.e15482] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 03/13/2023] [Accepted: 04/11/2023] [Indexed: 05/09/2023] Open
Abstract
Foodborne pathogens are a major public health concern and have a significant economic impact globally. From harvesting to consumption stages, food is generally contaminated by viruses, parasites, and bacteria, which causes foodborne diseases such as hemorrhagic colitis, hemolytic uremic syndrome (HUS), typhoid, acute, gastroenteritis, diarrhea, and thrombotic thrombocytopenic purpura (TTP). Hence, early detection of foodborne pathogenic microbes is essential to ensure a safe food supply and to prevent foodborne diseases. The identification of foodborne pathogens is associated with conventional (e.g., culture-based, biochemical test-based, immunological-based, and nucleic acid-based methods) and advances (e.g., hybridization-based, array-based, spectroscopy-based, and biosensor-based process) techniques. For industrial food applications, detection methods could meet parameters such as accuracy level, efficiency, quickness, specificity, sensitivity, and non-labor intensive. This review provides an overview of conventional and advanced techniques used to detect foodborne pathogens over the years. Therefore, the scientific community, policymakers, and food and agriculture industries can choose an appropriate method for better results.
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Affiliation(s)
- Meera Probha Kabiraz
- Department of Biotechnology, Bangladesh Agricultural University, Mymensingh, 2202, Bangladesh
| | - Priyanka Rani Majumdar
- School of Biotechnology and Biomolecular Sciences, UNSW Sydney, Kensington, NSW, 2052, Australia
- Department of Fisheries and Marine Science, Noakhali Science and Technology University, Noakhali, 3814, Bangladesh
| | - M.M. Chayan Mahmud
- CASS Food Research Centre, School of Exercise and Nutrition Sciences, Deakin University, 221 Burwood Highway, VIC, 3125, Australia
| | - Shuva Bhowmik
- Department of Fisheries and Marine Science, Noakhali Science and Technology University, Noakhali, 3814, Bangladesh
- Centre for Bioengineering and Nanomedicine, Faculty of Dentistry, Division of Health Sciences, University of Otago, Dunedin, 9054, New Zealand
- Department of Food Science, University of Otago, Dunedin, 9054, New Zealand
- Corresponding author. Centre for Bioengineering and Nanomedicine, Faculty of Dentistry, Division of Health Sciences, University of Otago, Dunedin, 9054, New Zealand.
| | - Azam Ali
- Centre for Bioengineering and Nanomedicine, Faculty of Dentistry, Division of Health Sciences, University of Otago, Dunedin, 9054, New Zealand
- Corresponding author.
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Gavrilaș S, Ursachi CȘ, Perța-Crișan S, Munteanu FD. Recent Trends in Biosensors for Environmental Quality Monitoring. SENSORS (BASEL, SWITZERLAND) 2022; 22:s22041513. [PMID: 35214408 PMCID: PMC8879434 DOI: 10.3390/s22041513] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 02/11/2022] [Accepted: 02/13/2022] [Indexed: 05/07/2023]
Abstract
The monitoring of environmental pollution requires fast, reliable, cost-effective and small devices. This need explains the recent trends in the development of biosensing devices for pollutant detection. The present review aims to summarize the newest trends regarding the use of biosensors to detect environmental contaminants. Enzyme, whole cell, antibody, aptamer, and DNA-based biosensors and biomimetic sensors are discussed. We summarize their applicability to the detection of various pollutants and mention their constructive characteristics. Several detection principles are used in biosensor design: amperometry, conductometry, luminescence, etc. They differ in terms of rapidity, sensitivity, profitability, and design. Each one is characterized by specific selectivity and detection limits depending on the sensitive element. Mimetic biosensors are slowly gaining attention from researchers and users due to their advantages compared with classical ones. Further studies are necessary for the development of robust biosensing devices that can successfully be used for the detection of pollutants from complex matrices without prior sample preparation.
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Yu T, Wang Y, Quan H, Meng Y, Wang Z, Zhao C, Guo Q, Ge J. A colorimetric biosensor for ultrasensitive detection of the SURF1 gene based on a dual DNA-induced cascade hybridization reaction. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2021; 13:4778-4784. [PMID: 34569567 DOI: 10.1039/d1ay01102b] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
In this work, a simple and ultrasensitive colorimetric biosensor for detection of SURF1 gene fragments (Leigh syndrome) has been developed based on a dual DNA-induced cascade hybridization reaction. Firstly, a biotin labeled capture probe was immobilized on a streptavidin labeled 96-well transparent plate surface. Then the target SURF1 fragment and auxiliary probe S1 were added into the reaction system to form a "Y" structure with the capture probe. Furthermore, to achieve a highly efficient signal amplification strategy, digoxin labeled P1, P2, P3 and P4 probes were used to cause a dual DNA-induced cascade hybridization reaction on the "Y" structure of the 96-well plate surface. As a detection probe, the HRP anti-digoxin antibody was combined on the surface to produce a colorimetric response to the SURF1 fragment in the presence of TMB. Under the optimal conditions, the established method exhibited a wide linear range from 1.0 × 10-13 M to 1.0 × 10-8 M and a detection limit to SURF1 as low as 1.73 × 10-14 M. In addition, the strategy has been successfully applied to the detection of SURF1 in spiked human serum samples. Therefore, the established biosensor has potential application prospects in gene fragment analysis and early diagnosis of clinical diseases.
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Affiliation(s)
- Tianxiao Yu
- Research Center for Clinical Medical Sciences, The Fourth Hospital of Shijiazhuang (The Affiliated Obstetrics and Gynecology Hospital of Hebei Medical University), Shijiazhuang, 050000, China.
| | - Yafang Wang
- Department of Clinical Laboratory, The Fourth Hospital of Shijiazhuang (The Affiliated Obstetrics and Gynecology Hospital of Hebei Medical University), Shijiazhuang, 050000, China
| | - Huili Quan
- Research Center for Clinical Medical Sciences, The Fourth Hospital of Shijiazhuang (The Affiliated Obstetrics and Gynecology Hospital of Hebei Medical University), Shijiazhuang, 050000, China.
| | - Yucui Meng
- Research Center for Clinical Medical Sciences, The Fourth Hospital of Shijiazhuang (The Affiliated Obstetrics and Gynecology Hospital of Hebei Medical University), Shijiazhuang, 050000, China.
| | - Zhaohua Wang
- Department of Clinical Laboratory, The Fourth Hospital of Shijiazhuang (The Affiliated Obstetrics and Gynecology Hospital of Hebei Medical University), Shijiazhuang, 050000, China
| | - Chunchao Zhao
- Research Center for Clinical Medical Sciences, The Fourth Hospital of Shijiazhuang (The Affiliated Obstetrics and Gynecology Hospital of Hebei Medical University), Shijiazhuang, 050000, China.
| | - Qing Guo
- Research Center for Clinical Medical Sciences, The Fourth Hospital of Shijiazhuang (The Affiliated Obstetrics and Gynecology Hospital of Hebei Medical University), Shijiazhuang, 050000, China.
| | - Jun Ge
- Research Center for Clinical Medical Sciences, The Fourth Hospital of Shijiazhuang (The Affiliated Obstetrics and Gynecology Hospital of Hebei Medical University), Shijiazhuang, 050000, China.
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