College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China.
Key Laboratory of Spectroscopy Sensing, Ministry of Agriculture, China.
Molecules. 2018 Aug 5;23(8):1949. doi: 10.3390/molecules23081949.
Thiabendazole (TBZ) is widely used in sclerotium blight, downy mildew as well as root rot disease prevention and treatment in plant. The indiscriminate use of TBZ causes the excess pesticide residues in soil, which leads to soil hardening and environmental pollution. Therefore, it is important to accurately monitor whether the TBZ residue in soil exceeds the standard. For this study, density functional theory (DFT) was used to theoretically analyze the molecular structure of TBZ, gold nanoparticles (AuNPs) were used to enhance the detection signal of surface-enhanced Raman spectroscopy (SERS) and the TBZ residue in red soil extracts was quantitatively determined by SERS. As a result, the theoretical Raman peaks of TBZ calculated by DFT were basically consistent with the measured results. Moreover, 784, 1008, 1270, 1328, 1406 and 1576 cm could be determined as the TBZ characteristic peaks in soil and the limits of detection (LOD) could reach 0.1 mg/L. Also, there was a good linear correlation between the intensity of Raman peaks and TBZ concentration in soil (784 cm: = 672.26 + 5748.4, ² = 0.9948; 1008 cm: = 1155.4 + 8740.2, ² = 0.9938) and the limit of quantification (LOQ) of these two linear models can reach 1 mg/L. The relative standard deviation () ranged from 1.36% to 8.02% and the recovery was ranging from 95.90% to 116.65%. In addition, the 300⁻1700 cm SERS of TBZ were analyzed by the partial least squares (PLS) and backward interval partial least squares (biPLS). Also, the prediction accuracy of TBZ in soil (² = 0.9769, = 0.556 mg/L, = 5.97) was the highest when the original spectra were pretreated by standard normal variation (SNV) and then modeled by PLS. In summary, the TBZ in red soil extracts could be quantitatively determined by SERS based on AuNPs, which was beneficial to provide a new, rapid and accurate scheme for the detection of pesticide residues in soil.
噻菌灵(TBZ)在植物的菌核病、霜霉病以及根腐病防治中被广泛应用。TBZ 的滥用导致土壤中农药残留过量,从而造成土壤板结和环境污染。因此,准确监测土壤中 TBZ 残留是否超标非常重要。在本研究中,使用密度泛函理论(DFT)对 TBZ 的分子结构进行了理论分析,使用金纳米粒子(AuNPs)增强表面增强拉曼光谱(SERS)的检测信号,并通过 SERS 定量测定红土提取物中的 TBZ 残留。结果表明,通过 DFT 计算的 TBZ 理论拉曼峰与实测结果基本一致。此外,可以确定 784、1008、1270、1328、1406 和 1576 cm 为土壤中 TBZ 的特征峰,检出限(LOD)可达到 0.1 mg/L。并且,土壤中 TBZ 浓度与拉曼峰强度之间具有良好的线性相关性(784 cm: = 672.26 + 5748.4, ² = 0.9948;1008 cm: = 1155.4 + 8740.2, ² = 0.9938),两种线性模型的定量限(LOQ)均可达 1 mg/L。相对标准偏差( )在 1.36%至 8.02%之间,回收率在 95.90%至 116.65%之间。此外,通过偏最小二乘法(PLS)和反向间隔偏最小二乘法(biPLS)对 TBZ 的 300⁻1700 cm 的 SERS 进行了分析。当原始光谱经过标准正态变换(SNV)预处理后,再由 PLS 建模时,对土壤中 TBZ 的预测精度最高( ² = 0.9769, = 0.556 mg/L, = 5.97)。综上所述,基于 AuNPs 可以通过 SERS 定量测定红土提取物中的 TBZ,这有利于为土壤中农药残留的检测提供一种新的、快速和准确的方案。