高效薄层色谱法（HPTLC）+表面增强拉曼光谱法（SRES）用于即时检测应用中农药的筛查，以果汁中的福美双为例。
HPTLC + SRES screening of pesticide for point-of-care application as shown with thiram in juice.
作者信息
Wang Zhijian, Zhang Lixin, Chen Yisheng
机构信息
College of Food Science and Engineering, Shanxi Agricultural University, Taigu, Shanxi 030801, China.
Institute of Food Nutrition and Safety, Shanxi Agricultural University, Taiyuan 030031, Shanxi, China.
出版信息
Food Chem X. 2023 Apr 1;18:100670. doi: 10.1016/j.fochx.2023.100670. eCollection 2023 Jun 30.
In this study, a HPTLC-platformed SERS detection was established for screening thiram in juice. After a simple extraction, the sample liquid was separated on HPTLC plates, which resulted in a specific zone for the analyte. Following infiltration with atomize water, the band of interest was easily scraped off and eluted. In parallel, a flexible and SERS-active substrate was fabricated by the synthesis of gold nanoparticles within cotton fabrics. Under optimized conditions, fingerprint-like signal at 1376 cm of the analyte were easily recorded by a hand-held Raman spectrometer with enough LOD (0.5 mg/L), LOQ (0.9 mg/L) and reproducibility (<11.7%). The optimized screening system was further validated with pear, apple and mango juice by determining the spike-and-recovery rates (75.6 to 112.8%). It was demonstrated that this method could be a facile point-of-care testing system tailored for pesticide screening.
在本研究中，建立了一种基于高效薄层色谱（HPTLC）平台的表面增强拉曼散射（SERS）检测方法，用于筛查果汁中的福美双。经过简单萃取后，将样品液在HPTLC板上进行分离，从而得到分析物的特定区域。用雾化水浸润后，目标条带很容易被刮下并洗脱。同时，通过在棉织物内合成金纳米颗粒制备了一种柔性且具有SERS活性的基底。在优化条件下，使用手持式拉曼光谱仪能够轻松记录分析物在1376 cm处类似指纹的信号，其具有足够低的检测限（0.5 mg/L）、定量限（0.9 mg/L）和重现性（<11.7%）。通过测定加标回收率（75.6%至112.8%），使用梨汁、苹果汁和芒果汁对优化后的筛查系统进行了进一步验证。结果表明，该方法可以成为一种专门用于农药筛查的便捷即时检测系统。
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