Advances, limitations, and prospects of biosensing technology for detecting phytopathogenic bacteria.
Bacterial detection
Biosensors
Plant disease
Plant quarantine
Point-of-care
Journal
Chemosphere
ISSN: 1879-1298
Titre abrégé: Chemosphere
Pays: England
ID NLM: 0320657
Informations de publication
Date de publication:
Jun 2022
Jun 2022
Historique:
received:
18
09
2021
revised:
23
01
2022
accepted:
25
01
2022
pubmed:
4
2
2022
medline:
14
4
2022
entrez:
3
2
2022
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 35114264
pii: S0045-6535(22)00266-1
doi: 10.1016/j.chemosphere.2022.133773
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
133773Informations de copyright
Copyright © 2022. Published by Elsevier Ltd.