Au@Ag nanostructure based SERS substrate for simultaneous determination of pesticides residue in tea via solid phase extraction coupled multivariate calibration

• Published in: Food science & technology 2019-05, Vol.105, p.290-297
• Main Authors: Hassan, Md Mehedi, Li, Huanhuan, Ahmad, Waqas, Zareef, Muhammad, Wang, Jingjing, Xie, Shicai, Wang, Pingyue, Ouyang, Qin, Wang, Shaoyun, Chen, Quansheng
• Format: Article
• Language: English
• Subjects: Au@Ag nanostructure; Matcha tea; Multivariate calibration; Pesticides residue; Surface enhance Raman scattering
• ISSN: 0023-6438; 1096-1127
• DOI: 10.1016/j.lwt.2019.02.016

The study aimed to extend the applications of surface-enhanced Raman scattering (SERS) – recently one of the most promising and widely employed technique in food safety and quality monitoring – towards determination of two analytes in a single step for the first time. Thus, an ultra-sensitive and selective SERS based detection platform for the simultaneous determination of pesticides namely acetamiprid (AC) and 2,4-dichlorophenoxyacetic acid (2,4-D) in matcha tea has been developed. Owing to the potential interference of different nutrients and pigments in complicated matrices, the matcha tea samples with and without spiking AC and 2,4-D, were percolated through a solid phase extraction cartridge. The eluate was introduced to the SERS Au@Ag nanostructure substrate for monitoring SERS signal with subsequent chemometrics modeling. Under the optimized experimental conditions, a linear calibration exhibited at GA-PLS model with RPD values of 6.53 and 6.23, and Rp values 0.9943 and 0.9923, respectively for AC and 2,4-D. The method was validated in both mixed and single spiking conditions successfully in terms of student's t- and F test at 95% confidence with satisfactory recovery percentages. An RSD value