a Department of Botany, Institute of Science , Banaras Hindu University , Varanasi , India.
b Sensors Lab, Electrical Engineering Program, Computer, Electrical and Mathematical Science and Engineering Division , King Abdullah University of Science and Technology (KAUST) , Thuwal , Kingdom of Saudi Arabia.
Crit Rev Microbiol. 2018 Sep;44(5):590-608. doi: 10.1080/1040841X.2018.1473331. Epub 2018 May 23.
The early detection of Listeria monocytogenes (L. monocytogenes) and understanding the disease burden is of paramount interest. The failure to detect pathogenic bacteria in the food industry may have terrible consequences, and poses deleterious effects on human health. Therefore, integration of methods to detect and trace the route of pathogens along the entire food supply network might facilitate elucidation of the main contamination sources. Recent research interest has been oriented towards the development of rapid and affordable pathogen detection tools/techniques. An innovative and new approach like biosensors has been quite promising in revealing the foodborne pathogens. In spite of the existing knowledge, advanced research is still needed to substantiate the expeditious nature and sensitivity of biosensors for rapid and in situ analysis of foodborne pathogens. This review summarizes recent developments in optical, piezoelectric, cell-based, and electrochemical biosensors for Listeria sp. detection in clinical diagnostics, food analysis, and environmental monitoring, and also lists their drawbacks and advantages.
李斯特菌(Listeria monocytogenes)的早期检测和了解疾病负担至关重要。食品行业未能检测出致病菌可能会产生可怕的后果,并对人类健康造成有害影响。因此,整合检测和追踪整个食品供应链中病原体路径的方法可能有助于阐明主要的污染来源。最近的研究兴趣集中在开发快速且经济实惠的病原体检测工具/技术上。像生物传感器这样的创新和新方法在揭示食源性病原体方面非常有前景。尽管已经有了相关知识,但仍需要进行高级研究来证实生物传感器在快速和现场分析食源性病原体方面的及时性和敏感性。本文综述了光学、压电、基于细胞和电化学生物传感器在临床诊断、食品分析和环境监测中用于李斯特菌属检测的最新进展,并列出了它们的缺点和优点。