Institute of Quality Standard and Testing Technology for Agro-products, Shandong Academy of Agricultural Sciences, Jinan, 250100, China.
Institute for Advanced Interdisciplinary Research (IAIR), School of Materials Science and Engineering, University of Jinan, Jinan, China.
Anal Sci. 2020 Dec 10;36(12):1439-1443. doi: 10.2116/analsci.20P166. Epub 2020 Jul 17.
An efficient methodology has been developed to determine the tricyclazole residue in matrix based on surface-enhanced Raman scattering (SERS) coupled with dispersible matrix solid-phase extraction. After pretreatment and test conditions optimization, peaks at 1373 and 1317 cm in the SERS spectrum were respectively selected as quantitative peaks for rice and Brassica campestris L. ssp. chinensis var. utilis Tsen, respectively. The matrix standard curve-external standard method was used to quantitatively conduct a statistical analysis. The correlation between the quantitative peak response and tricyclazole concentration showed a significant linear relationship with a correlation coefficient of R > 0.99. The lowest spiked concentration was determined to be the quantitative limit that was below the maximum residue limits of tricyclazole. This study provides a sensitive, stable and rapid approach for the analysis of tricyclazole in above matrix via SERS, and it will be a useful complement to the quantitative analysis of tricyclazole in a complex matrix.
建立了一种基于表面增强拉曼散射（SERS）与分散固相萃取相结合的测定基质中环丙唑醇残留的有效方法。经过预处理和测试条件优化，SERS 光谱中 1373 和 1317cm 处的峰分别被选为水稻和芸薹属白菜亚种芸薹变种的定量峰。采用基质标准曲线-外标法进行定量统计分析。定量峰响应与三环唑浓度之间的相关性呈显著线性关系，相关系数 R ＞0.99。最低加标浓度低于三环唑的最大残留限量，被确定为定量限。本研究通过 SERS 为分析上述基质中环丙唑醇提供了一种灵敏、稳定、快速的方法，这将是对复杂基质中环丙唑醇定量分析的有益补充。
