Microfluidic devices for sample preparation and rapid detection of foodborne pathogens

食源性病原体 微流控 计算机科学 杠杆(统计) 利用 生化工程 纳米技术 风险分析(工程) 生物技术 人工智能 工程类 生物 医学 计算机安全 材料科学 单核细胞增生李斯特菌 遗传学 细菌
作者
Kamal Kant,Mohammad‐Ali Shahbazi,Vivek Priy Dave,Tien Dat Ngo,Aaydha Chidambara Vinayaka,Than Linh Quyen,Dang Duong Bang,Anders Wolff
出处
期刊:Biotechnology Advances [Elsevier]
卷期号:36 (4): 1003-1024 被引量:139
标识
DOI:10.1016/j.biotechadv.2018.03.002
摘要

Rapid detection of foodborne pathogens at an early stage is imperative for preventing the outbreak of foodborne diseases, known as serious threats to human health. Conventional bacterial culturing methods for foodborne pathogen detection are time consuming, laborious, and with poor pathogen diagnosis competences. This has prompted researchers to call the current status of detection approaches into question and leverage new technologies for superior pathogen sensing outcomes. Novel strategies mainly rely on incorporating all the steps from sample preparation to detection in miniaturized devices for online monitoring of pathogens with high accuracy and sensitivity in a time-saving and cost effective manner. Lab on chip is a blooming area in diagnosis, which exploits different mechanical and biological techniques to detect very low concentrations of pathogens in food samples. This is achieved through streamlining the sample handling and concentrating procedures, which will subsequently reduce human errors and enhance the accuracy of the sensing methods. Integration of sample preparation techniques into these devices can effectively minimize the impact of complex food matrix on pathogen diagnosis and improve the limit of detections. Integration of pathogen capturing bio-receptors on microfluidic devices is a crucial step, which can facilitate recognition abilities in harsh chemical and physical conditions, offering a great commercial benefit to the food-manufacturing sector. This article reviews recent advances in current state-of-the-art of sample preparation and concentration from food matrices with focus on bacterial capturing methods and sensing technologies, along with their advantages and limitations when integrated into microfluidic devices for online rapid detection of pathogens in foods and food production line.
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