College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China.
Key Laboratory of Sensors Sensing, Ministry of Agriculture, Hangzhou 310058, China.
Sensors (Basel). 2018 Apr 4;18(4):1082. doi: 10.3390/s18041082.
Thiabendazole is widely used in sclerotium blight, downy mildew and black rot prevention and treatment in rape. Accurate monitoring of thiabendazole pesticides in plants will prevent potential adverse effects to the Environment and human health. Surface Enhanced Raman Spectroscopy (SERS) is a highly sensitive fingerprint with the advantages of simple operation, convenient portability and high detection efficiency. In this paper, a rapid determination method of thiabendazole pesticides in rape was conducted combining SERS with chemometric methods. The original SERS were pretreated and the partial least squares (PLS) was applied to establish the prediction model between SERS and thiabendazole pesticides in rape. As a result, the SERS enhancing effect based on silver Nano-substrate was better than that of gold Nano-substrate, where the detection limit of thiabendazole pesticides in rape could reach 0.1 mg/L. Moreover, 782, 1007 and 1576 cm could be determined as thiabendazole pesticides Raman characteristic peaks in rape. The prediction effect of thiabendazole pesticides in rape was the best ( R p 2 = 0.94, = 3.17 mg/L) after the original spectra preprocessed with 1st-Derivative, and the linear relevance between thiabendazole pesticides concentration and Raman peak intensity at 782 cm was the highest ( = 0.91). Furthermore, five rape samples with unknown thiabendazole pesticides concentration were used to verify the accuracy and reliability of this method. It was showed that prediction relative standard deviation was 0.70–9.85%, recovery rate was 94.71–118.92% and value was −1.489. In conclusion, the thiabendazole pesticides in rape could be rapidly and accurately detected by SERS, which was beneficial to provide a rapid, accurate and reliable scheme for the detection of pesticides residues in agriculture products.
噻菌灵在油菜菌核病、霜霉病和黑斑病的防治中被广泛应用。准确监测植物中的噻菌灵农药可以防止对环境和人类健康造成潜在的不良影响。表面增强拉曼光谱(SERS)是一种具有操作简单、便携方便和检测效率高的高灵敏度指纹技术。本文结合 SERS 和化学计量学方法,建立了一种快速测定油菜中噻菌灵农药的方法。对原始 SERS 进行预处理,并应用偏最小二乘法(PLS)建立了 SERS 与油菜中噻菌灵农药之间的预测模型。结果表明,基于银纳米基底的 SERS 增强效果优于金纳米基底,油菜中噻菌灵农药的检测限可达 0.1mg/L。此外,油菜中噻菌灵农药的拉曼特征峰可确定为 782、1007 和 1576cm。经过一阶导数预处理后的原始光谱,油菜中噻菌灵农药的预测效果最佳(R p 2 = 0.94, = 3.17mg/L),且在 782cm 处的噻菌灵农药浓度与拉曼峰强度之间的线性相关性最高( = 0.91)。进一步用 5 个未知浓度的油菜样品验证了该方法的准确性和可靠性,预测相对标准偏差为 0.70%–9.85%,回收率为 94.71%–118.92%, 值为 −1.489。综上所述,SERS 可快速准确地检测油菜中的噻菌灵农药,为农产品中农药残留的检测提供了一种快速、准确、可靠的方案。