College of Food Science and Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China.
Department of Biotechnology, Chandigarh University, Gharuan, Mohali, 147013, Punjab, India; University Centre for Research and Development, Chandigarh University, Gharuan, Mohali, 147013, Punjab, India.
Biosens Bioelectron. 2023 Sep 1;235:115317. doi: 10.1016/j.bios.2023.115317. Epub 2023 May 18.
In light of severe health risks of foodborne pathogenic bacterial diseases, the potential utility of point-of-care (POC) sensors is recognized for pathogens detection. In this regard, lateral flow assay (LFA) is a promising and user-friendly option for such application among various technological approaches. This article presents a comprehensive review of "lock-and-key" recognizer-encoded LFAs with respect to their working principles and detection performance against foodborne pathogenic bacteria. For this purpose, we describe various strategies for bacteria recognition including the antibody-based antigen-antibody interactions, nucleic acid aptamer-based recognition, and phage-mediated targeting of bacterial cells. In addition, we also outline the technological challenges along with the prospects for the future development of LFA in food analysis. The LFA devices built based upon many recognition strategies are found to have great potential for rapid, convenient, and effective POC detection of pathogens in complex food matrixes. Future developments in this field should emphasize the development of high-quality bio-probes, multiplex sensors, and intelligent portable readers.
鉴于食源性致病菌病的严重健康风险，人们已经认识到即时检测（POC）传感器在病原体检测方面的潜在应用价值。在这方面，侧向流分析（LFA）是各种技术方法中用于此类应用的一种很有前途且用户友好的选择。本文就基于“锁钥”识别子编码的 LFA 从工作原理和针对食源性致病菌的检测性能方面进行了全面综述。为此，我们描述了包括基于抗体的抗原-抗体相互作用、基于核酸适体的识别以及噬菌体介导的细菌细胞靶向在内的各种细菌识别策略。此外，我们还概述了技术挑战以及 LFA 在食品分析中未来发展的前景。基于许多识别策略构建的 LFA 设备在快速、方便、有效地对复杂食品基质中的病原体进行 POCT 检测方面具有巨大的潜力。该领域的未来发展应侧重于高质量生物探针、多重传感器和智能便携式读取器的开发。
