School of Food Science and Engineering, South China University of Technology, Guangzhou 510641, China; Academy of Contemporary Food Engineering, South China University of Technology, Guangzhou Higher Education Mega Center, Guangzhou 510006, China; Engineering and Technological Research Centre of Guangdong Province on Intelligent Sensing and Process Control of Cold Chain Foods, & Guangdong Province Engineering Laboratory for Intelligent Cold Chain Logistics Equipment for Agricultural Products, Guangzhou Higher Education Mega Centre, Guangzhou 510006, China.
School of Food Science and Engineering, South China University of Technology, Guangzhou 510641, China; Academy of Contemporary Food Engineering, South China University of Technology, Guangzhou Higher Education Mega Center, Guangzhou 510006, China; Engineering and Technological Research Centre of Guangdong Province on Intelligent Sensing and Process Control of Cold Chain Foods, & Guangdong Province Engineering Laboratory for Intelligent Cold Chain Logistics Equipment for Agricultural Products, Guangzhou Higher Education Mega Centre, Guangzhou 510006, China; Food Refrigeration and Computerized Food Technology, University College Dublin, National University of Ireland, Agriculture and Food Science Centre, Belfield, Dublin 4, Ireland. Electronic address: http://www.ucd.ie/refrig.
Food Chem. 2021 Jul 15;350:129025. doi: 10.1016/j.foodchem.2021.129025. Epub 2021 Feb 6.
Silver-coated gold nanoparticles (Au@AgNPs) were optimized with different gold (Au) core sizes and modified surface with mercaptooctane (MCO) to determine fungicide residues in pear fruit extracts. The developed MCO/Au@AgNPs with a gold core size of 28 nm and silver shell thickness of 6 nm exhibited high sensitivity and significant enhancement of Raman scattering in detecting tricyclazole (TCZ) and thiram fungicides in standard and pear fruit samples. The detection limits for TCZ and thiram in the pear fruit extracts were 0.005 and 0.003 ppm with coefficients of determination of (R) of 0.9984 and 0.9971, percent recovery ranging from 82.7 to 107.4% and 80.7 to 109.8%, and relative standard deviation (RSD) of 1.5 to 7.9% and 3.7 to 9.5%, respectively. Results showed that this easily prepared method could be employed as SERS active platforms for the rapid assessment of trace contaminants of agrochemicals in agriculture production.
银包裹金纳米粒子(Au@AgNPs)具有不同的金(Au)核尺寸,并经过巯基辛烷(MCO)修饰表面,用于检测梨果提取物中的杀真菌剂残留。开发的 MCO/Au@AgNPs 具有 28nm 的金核尺寸和 6nm 的银壳厚度,在检测三环唑(TCZ)和福美双杀真菌剂时具有高灵敏度和显著增强的拉曼散射。在梨果提取物中,TCZ 和福美双的检测限分别为 0.005 和 0.003ppm,决定系数(R)分别为 0.9984 和 0.9971,回收率在 82.7%至 107.4%和 80.7%至 109.8%之间,相对标准偏差(RSD)分别为 1.5%至 7.9%和 3.7%至 9.5%。结果表明,这种易于制备的方法可作为用于快速评估农业生产中痕量农药污染物的 SERS 活性平台。