Advances, limitations, and prospects of biosensing technology for detecting phytopathogenic bacteria
Author | Qurban, Ali |
Author | Zheng, Hongxia |
Author | Rao, Muhammad Junaid |
Author | Ali, Mohsin |
Author | Hussain, Amjad |
Author | Saleem, Muhammad Hamzah |
Author | Nehela, Yasser |
Author | Sohail, Muhammad Aamir |
Author | Ahmed, Agha Mushtaque |
Author | Kubar, Kashif Ali |
Author | Ali, Shafaqat |
Author | Usman, Kamal |
Author | Manghwar, Hakim |
Author | Zhou, Lei |
Available date | 2022-08-30T08:24:19Z |
Publication Date | 2022-06-30 |
Publication Name | Chemosphere |
Identifier | http://dx.doi.org/10.1016/j.chemosphere.2022.133773 |
Citation | Ali, Qurban, Hongxia Zheng, Muhammad Junaid Rao, Mohsin Ali, Amjad Hussain, Muhammad Hamza Saleem, Yasser Nehela et al. "Advances, limitations, and prospects of biosensing technology for detecting phytopathogenic bacteria." Chemosphere (2022): 133773. |
ISSN | 00456535 |
Abstract | Phytopathogenic bacteria cause severe economic losses in agricultural production worldwide. The spread rates, severity, and emerging plant bacterial diseases have become serious threat to the sustainability of food sources and the fruit industry. Detection and diagnosis of plant diseases are imperative in order to manage plant diseases in field conditions, greenhouses, and food storage conditions as well as to maximize agricultural productivity and sustainability. To date, various techniques including, serological, observation-based, and molecular methods have been employed for plant disease detection. These methods are sensitive and specific for genetic identification of bacteria. However, these methods are specific for genetic identification of bacteria. Currently, the innovative biosensor-based disease detection technique is an attractive and promising alternative. A biosensor system involves biological recognition and transducer active receptors based on sensors used in plant-bacteria diagnosis. This system has been broadly used for the rapid diagnosis of plant bacterial pathogens. In the present review, we have discussed the conventional methods of bacterial-disease detection, however, the present review mainly focuses on the applications of different biosensor-based techniques along with point-of-care (POC), robotics, and cell phone-based systems. In addition, we have also discussed the challenges and limitations of these techniques. |
Sponsor | This work was supported by the China Postdoctoral Science Foundation (No: 2014M561669). The high-talent introduction and continuous training fund supported by Zhejiang Academy of Agricultural Sciences (Grant No: 10300000021LL05). |
Language | en |
Publisher | Elsevier |
Subject | Plant disease Biosensors Point-of-care Bacterial detection Plant quarantine |
Type | Article |
Volume Number | 296 |
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Research of Agricultural Research Station [52 items ]