State Key Laboratory of Biobased Material and Green Papermaking, Qilu University of Technology, Shandong Academy of Sciences, Jinan 250353, China.
State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing, China.
Food Chem. 2019 Jun 15;283:517-521. doi: 10.1016/j.foodchem.2019.01.064. Epub 2019 Jan 18.
A simple and highly sensitive lateral flow immunochromatographic assay (LFICA) towards microcystin-LR (MC-LR) was proposed in this study. Molecular imprinting technique was combined with enzyme assisted colorimetric method to substantially enhance the sensitivity of traditional LFICA. The target, i.e., MC-LR molecular, was first separated from the complex matrix by molecularly-imprinted polymers (MIPs). Then, the obtained MC-LR was detected by LFICA based on the blue color generated by an enzyme-substrate reaction. Using the proposed assay, under optimal conditions, the determination of MC-LR was doable in a wide linear range from 0.1 ng/mL to 100 ng/mL with a detection limit of 0.04 ng/mL. In addition, the reliability of the developed method was validated by determining MC-LR contents in real samples. The overall results suggested that the neoteric LFICA method possess great potential in sensitive detection of MC-LR.
本研究提出了一种针对微囊藻毒素-LR（MC-LR）的简单且高灵敏的侧向流动免疫层析分析（LFICA）方法。分子印迹技术与酶辅助比色法相结合，大大提高了传统 LFICA 的灵敏度。目标物，即 MC-LR 分子，首先通过分子印迹聚合物（MIPs）从复杂基质中分离出来。然后，通过 LFICA 基于酶底物反应产生的蓝色来检测获得的 MC-LR。在最佳条件下，使用所提出的测定方法，MC-LR 的测定可在从 0.1ng/mL 到 100ng/mL 的宽线性范围内进行，检测限为 0.04ng/mL。此外，通过测定实际样品中的 MC-LR 含量验证了所开发方法的可靠性。总体结果表明，新型 LFICA 方法在 MC-LR 的灵敏检测方面具有很大的潜力。
