Advances, limitations, and prospects of biosensing technology for detecting phytopathogenic bacteria
文献类型： 外文期刊
作者： Ali, Qurban 1 ; Zheng, Hongxia 1 ; Rao, Muhammad Junaid 3 ; Ali, Mohsin 4 ; Hussain, Amjad 4 ; Saleem, Muhammad Hamzah 4 ; Nehela, Yasser 5 ; Sohail, Muhammad Aamir 4 ; Ahmed, Agha Mushtaque 7 ; Kubar, Kashif Ali 8 ; Ali, Shafaqat 9 ; Usman, Kamal 10 ; Manghwar, Hakim 11 ; Zhou, Lei 1 ;
作者机构： 1.Zhejiang Acad Agr Sci, Inst Agroprod Safety & Nutr, State Key Lab Managing Biot & Chem Threats Qual &, Hangzhou, Peoples R China
2.Nanjing Agr Univ, Coll Plant Protect, Dept Plant Pathol,Minist Educ, Key Lab Monitoring & Management Crop Dis & Pest I, Nanjing 210095, Peoples R China
3.Guangxi Univ, Coll Agr, Guangxi Key Lab Sugarcane Biol, 100 Daxue Rd,8, Nanning 530004, Guangxi, Peoples R China
4.Huazhong Agr Univ, Coll Plant Sci & Technol, Wuhan 430070, Peoples R China
5.Univ Florida, Citrus Res & Educ Ctr, Dept Plant Pathol, 700 Expt Stn Rd, Lake Alfred, FL 33850 USA
6.Tanta Univ, Fac Agr, Dept Agr Bot, Tanta, Egypt
7.Sindh Agr Univ Tando Jam, Fac Crop Protect, Dept Entomol, Sindh, Pakistan
8.Lasbela Univ Agr Water & Marine Sci, Fac Agr, Balochistan 90150, Pakistan
9.Govt Coll Univ, Dept Environm Sci & Engn, Allama Iqbal Rd, Faisalabad 38000, Pakistan
10.Qatar Univ, Off VP Res & Grad Studies, Agr Res Stn, Doha 2713, Qatar
11.Chinese Acad Sci, Lushan Bot Garden, Jiujiang 332900, Jiangxi, Peoples R China
关键词： Plant disease; Biosensors; Point-of-care; Bacterial detection; Plant quarantine
期刊名称：CHEMOSPHERE （ 影响因子：8.943； 五年影响因子：8.52 ）
ISSN： 0045-6535
年卷期： 2022 年 296 卷
页码：
收录情况： SCI
摘要： 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.
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