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author:

Hassan, Md Mehedi (Hassan, Md Mehedi.) [1] | Li, Huanhuan (Li, Huanhuan.) [2] | Ahmad, Waqas (Ahmad, Waqas.) [3] | Zareef, Muhammad (Zareef, Muhammad.) [4] | Wang, Jingjing (Wang, Jingjing.) [5] | Xie, Shicai (Xie, Shicai.) [6] | Wang, Pingyue (Wang, Pingyue.) [7] | Ouyang, Qin (Ouyang, Qin.) [8] | Wang, Shaoyun (Wang, Shaoyun.) [9] | Chen, Quansheng (Chen, Quansheng.) [10]

Indexed by:

EI Scopus SCIE

Abstract:

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 < 4.85% indicates good reproducibility of the proposed method.

Keyword:

Au@Ag nanostructure Matcha tea Multivariate calibration Pesticides residue Surface enhance Raman scattering

Community:

  • [ 1 ] [Hassan, Md Mehedi]Jiangsu Univ, Sch Food & Biol Engn, Zhenjiang 212013, Jiangsu, Peoples R China
  • [ 2 ] [Li, Huanhuan]Jiangsu Univ, Sch Food & Biol Engn, Zhenjiang 212013, Jiangsu, Peoples R China
  • [ 3 ] [Ahmad, Waqas]Jiangsu Univ, Sch Food & Biol Engn, Zhenjiang 212013, Jiangsu, Peoples R China
  • [ 4 ] [Zareef, Muhammad]Jiangsu Univ, Sch Food & Biol Engn, Zhenjiang 212013, Jiangsu, Peoples R China
  • [ 5 ] [Wang, Jingjing]Jiangsu Univ, Sch Food & Biol Engn, Zhenjiang 212013, Jiangsu, Peoples R China
  • [ 6 ] [Xie, Shicai]Jiangsu Univ, Sch Food & Biol Engn, Zhenjiang 212013, Jiangsu, Peoples R China
  • [ 7 ] [Wang, Pingyue]Jiangsu Univ, Sch Food & Biol Engn, Zhenjiang 212013, Jiangsu, Peoples R China
  • [ 8 ] [Ouyang, Qin]Jiangsu Univ, Sch Food & Biol Engn, Zhenjiang 212013, Jiangsu, Peoples R China
  • [ 9 ] [Chen, Quansheng]Jiangsu Univ, Sch Food & Biol Engn, Zhenjiang 212013, Jiangsu, Peoples R China
  • [ 10 ] [Wang, Shaoyun]Fuzhou Univ, Coll Biol Sci & Technol, Fuzhou 350108, Fujian, Peoples R China

Reprint 's Address:

  • [Chen, Quansheng]Jiangsu Univ, Sch Food & Biol Engn, Zhenjiang 212013, Jiangsu, Peoples R China

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Source :

LWT-FOOD SCIENCE AND TECHNOLOGY

ISSN: 0023-6438

Year: 2019

Volume: 105

Page: 290-297

4 . 0 0 6

JCR@2019

6 . 0 0 0

JCR@2023

ESI Discipline: AGRICULTURAL SCIENCES;

ESI HC Threshold:133

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count: 81

SCOPUS Cited Count: 86

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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