"Lock-and-key" recognizer-encoded lateral flow assays toward foodborne pathogen detection: An overview of their fundamentals and recent advances

被引:13
|
作者
Liu, Xiaojing [1 ]
Kukkar, Deepak [2 ,3 ]
Deng, Ziai [1 ]
Yang, Di [1 ]
Wang, Jianlong [1 ]
Kim, Ki-Hyun [4 ]
Zhang, Daohong [1 ]
机构
[1] Northwest A&F Univ, Coll Food Sci & Engn, Yangling 712100, Shaanxi, Peoples R China
[2] Chandigarh Univ, Dept Biotechnol, Mohali 147013, Punjab, India
[3] Chandigarh Univ, Univ Ctr Res & Dev, Mohali 147013, Punjab, India
[4] Hanyang Univ, Dept Civil & Environm Engn, Seoul 04763, South Korea
来源
BIOSENSORS & BIOELECTRONICS | 2023年 / 235卷
基金
中国国家自然科学基金;
关键词
Lateral flow assay; Foodborne pathogens; Food safety; Bacteria detection; Biosensor; MEDIATED ISOTHERMAL AMPLIFICATION; ON-SITE DETECTION; RAPID DETECTION; STAPHYLOCOCCUS-AUREUS; PHAGE AMPLIFICATION; SENSITIVE DETECTION; VISUAL DETECTION; BACTERIA; FOOD; NANOPARTICLES;
D O I
10.1016/j.bios.2023.115317
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
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.
引用
收藏
页数:12
相关论文
共 8 条
  • [1] Recent progress on lateral flow immunoassays in foodborne pathogen detection
    Wei, Chunhao
    Wu, Aihong
    Xu, Liguang
    Xu, Chuanlai
    Liu, Liqiang
    Kuang, Hua
    Xu, Xinxin
    FOOD BIOSCIENCE, 2023, 52
  • [2] Recent advances in lateral flow assays for MicroRNA detection
    Nafari, Nasim Barzegar
    Zamani, Majid
    Mosayyebi, Bashir
    CLINICA CHIMICA ACTA, 2025, 567
  • [3] Recent advances in the rapid detection of microRNA with lateral flow assays
    Wang, Nan
    Zhang, Juan
    Xiao, Bin
    Sun, Xiaoyun
    Xie, Ruibin
    Chen, Ailiang
    BIOSENSORS & BIOELECTRONICS, 2022, 211
  • [4] Advances in the Rapid Detection of Foodborne Pathogens by Nucleic Acid Amplification Lateral Flow Assays
    Yun Z.
    Wei Y.
    Zhang J.
    Cui S.
    Li C.
    Sun F.
    Science and Technology of Food Industry, 2024, 45 (05) : 412 - 425
  • [5] State of the art: Lateral flow assays toward the point-of-care foodborne pathogenic bacteria detection in food samples
    Sohrabi, Hessamaddin
    Majidi, Mir Reza
    Khaki, Pegah
    Jahanban-Esfahlan, Ali
    de la Guardia, Miguel
    Mokhtarzadeh, Ahad
    COMPREHENSIVE REVIEWS IN FOOD SCIENCE AND FOOD SAFETY, 2022, 21 (02): : 1868 - 1912
  • [6] Recent advances in lateral flow immunoassay based on sandwich format for whole-cell pathogen detection
    Yang, Min
    Xu, Xinxin
    Zhang, Meng
    Wang, Jialu
    Wu, Yutong
    Wang, Ningning
    Li, Zhaohui
    COORDINATION CHEMISTRY REVIEWS, 2025, 533
  • [7] Recent Advances in Lateral Flow Assays for Viral Protein Detection with Nanomaterial-Based Optical Sensors
    Kim, Min Jung
    Haizan, Izzati
    Ahn, Min Ju
    Park, Dong-Hyeok
    Choi, Jin-Ha
    BIOSENSORS-BASEL, 2024, 14 (04):
  • [8] Applications of magnetic nanomaterials in the fabrication of lateral flow assays toward increasing performance of food safety analysis: Recent advances
    Althomali, Raed H.
    Uinarni, Herlina
    Gandla, Kumaraswamy
    Mayet, Abdulilah Mohammad
    Romero-Parra, Rosario Mireya
    Cahalib, Ibrahem
    Oudaha, Khulood H.
    Almulla, Abbas F.
    Bisht, Yashwant Singh
    FOOD BIOSCIENCE, 2023, 56