School of Chemical Engineering and Technology, Sun Yat-sen University, Zhuhai, 519082, China.
School of Chemical Engineering and Technology, Sun Yat-sen University, Zhuhai, 519082, China.
Talanta. 2023 Dec 1;265:124929. doi: 10.1016/j.talanta.2023.124929. Epub 2023 Jul 10.
Food borne pathogens threaten food safety and affect human health. The lateral flow immunoassays (LFIAs) are widely concerned because of simplicity, low cost and user friendliness, and have broad application prospects in pathogen detection. However, the sensitivity of LFIAs is limited. Herein, multi-line LFIAs are introduced into pathogen detection for the first time. Compared with traditional single-line LFIAs, the overall signal strength of multi-line LFIAs has been significantly improved. It is particularly noteworthy that multi-line LFIAs detection accuracy of 10 CFU/mL pathogen has been improved by about 55%. The proposed multi-line LFIAs reduce the possibility of judging a positive result as a false negative result. The LFIAs strip was validated in real samples of milk and orange juice. This strategy has great potential for rapid detection of pathogens in real samples, and provides new insights for improving the accuracy and sensitivity of LFIAs strips.
食源性致病菌威胁食品安全，影响人类健康。由于简便、低成本和用户友好，侧向流动免疫分析（LFIAs）受到广泛关注，并在病原体检测中有广阔的应用前景。然而，LFIAs 的灵敏度有限。本文首次将多线 LFIAs 引入病原体检测。与传统的单线 LFIAs 相比，多线 LFIAs 的整体信号强度得到了显著提高。值得特别注意的是，多线 LFIAs 对 10 CFU/mL 病原体的检测准确性提高了约 55%。所提出的多线 LFIAs 降低了将阳性结果判断为假阴性结果的可能性。LFIAs 条带在牛奶和橙汁的实际样本中进行了验证。该策略在实际样品中对病原体的快速检测具有很大的潜力，并为提高 LFIAs 条带的准确性和灵敏度提供了新的思路。
