Detection of pesticide residue distribution on fruit surfaces using surface-enhanced Raman spectroscopy imaging-Reference-Cited by-同舟云学术

Detection of pesticide residue distribution on fruit surfaces using surface-enhanced Raman spectroscopy imaging

Published:2018 Issue:9 Volume:8 Page:4726-4730
ISSN:2046-2069
Container-title:RSC Advances
language:en
Short-container-title:RSC Adv.

Author:

Chen Jiannan¹²³⁴⁵,Dong Daming¹²³⁴^ORCID,Ye Song⁵⁶⁷⁴

Affiliation:

1. Beijing Key Laboratory of Digital Plant, National Engineering Research Center for Information Technology in Agriculture

2. Beijing Academy of Agriculture and Forestry Sciences

3. Beijing 100097

4. China

5. School of Electronic Engineering and Automation

6. Guilin University of Electronic Technology

7. Guilin

Abstract

Surface-enhanced Raman spectroscopy (SERS) is an emerging technique for the detection of pesticide residues on food surfaces, permitting quantitative measurement of pesticide residues without pretreating the sample.

Funder

National Natural Science Foundation of China

Beijing Academy of Agricultural and Forestry Sciences

Publisher

Royal Society of Chemistry (RSC)

Subject

General Chemical Engineering,General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2018/RA/C7RA11927E

Reference22 articles.

1. Evaluation of pesticide residues in fruits and vegetables from Xiamen, China

2. Pesticide use and residue control in China

3. Food safety issues in fresh produce: Bacterial pathogens, viruses and pesticide residues indicated as major concerns by stakeholders in the fresh produce chain

4. Analysis of pesticide residues in sugarcane juice using QuEChERS sample preparation and gas chromatography with electron capture detection

5. A simple and rapid analytical methodology based on liquid chromatography-tandem mass spectrometry for monitoring pesticide residues in soils from Argentina

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