Au@Ag nanostructure based SERS substrate for simultaneous determination of pesticides residue in tea via solid phase extraction coupled multivariate calibration-Reference-Cited by-同舟云学术

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

Published:2019-05 Issue: Volume:105 Page:290-297
ISSN:0023-6438
Container-title:LWT
language:en
Short-container-title:LWT

Author:

Hassan Md Mehedi,Li Huanhuan,Ahmad Waqas,Zareef Muhammad,Wang Jingjing,Xie Shicai,Wang Pingyue,Ouyang Qin,Wang Shaoyun,Chen Quansheng^ORCID

Funder

National Natural Science Foundation of China

National Key R&D Program of China

Key R&D Program of Jiangsu Province

Publisher

Elsevier BV

Subject

Food Science

Reference35 articles.

1. Identification of the genes in tea leafhopper, Empoasca onukii (Hemiptera: Cicadellidae), that encode odorant-binding proteins and chemosensory proteins using transcriptome analyses of insect heads;Bian;Applied Entomology & Zoology,2018

2. Direct Determination of 2, 4-dichlorophenoxyacetic acid in Soybean and Corn by Liquid chromatography/tandem mass spectrometry;Chamkasem;Journal of Regulatory Science,2016

3. Fast sensing of imidacloprid residue in tea using surface-enhanced Raman scattering by comparative multivariate calibration;Chen;Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy,2019

4. Highly sensitive and visual detection of guanosine 3′-diphosphate-5′-di (tri) phosphate (ppGpp) in bacteria based on copper ions-mediated 4-mercaptobenzoic acid modified gold nanoparticles;Chen;Analytica Chimica Acta,2018

5. Classification of different varieties of Oolong tea using novel artificial sensing tools and data fusion;Chen;LWT-Food Science and Technology,2015

Cited by 87 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Progress of machine learning-based biosensors for the monitoring of food safety: A review;Biosensors and Bioelectronics;2024-09

2. A Sensitive SERS Sensor Combined with Intelligent Variable Selection Models for Detecting Chlorpyrifos Residue in Tea;Foods;2024-07-26

3. Non-destructive prediction of tea polyphenols during Pu-erh tea fermentation using NIR coupled with chemometrics methods;Journal of Food Composition and Analysis;2024-07

4. Ascorbate functionalized Au@AgNPs SERS sensor combined random frog-partial least squares for the prediction of chloramphenicol in milk;Journal of Food Composition and Analysis;2024-05

5. Ag@Au core–shell nanoparticle-based surface-enhanced Raman scattering coupled with chemometrics for rapid determination of chloramphenicol residue in fish;Food Chemistry;2024-04