A Feasible Approach to Detect Pesticides in Food Samples Using THz-FDS and Chemometrics
Joint Authors
Chen, Qian
Jia, Shengyao
Qin, Jianyuan
Du, Yong
Zhao, Zongshan
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-05-31
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
The use of pesticides will have an impact on food, organisms, and environment.
Specifically, pesticide residues in food will damage human health.
Because of its high permeability, low energy, high spectral resolution, and fingerprint characteristics, terahertz frequency-domain spectroscopy has been introduced into the determination of pesticides (imidacloprid, acetamiprid, and triadimefon) residues in food samples (glutinous rice flour, wheat flour, and corn flour) in our present study.
These three pesticides exhibit their own absorption peaks in the region of 0.4–1.7 THz.
For understanding the origins of these peaks, the experimental data are interpreted by using density functional theory calculations at the level of B3LYP/6-31G (d).
It is found that these absorption peaks come from the intramolecular and intermolecular interactions.
The absorption peaks of pesticides are still detectable in a mixture of pesticides and food samples when they reach a certain concentration.
The results from chemometrics analysis show that quantitative detection of pesticides in food samples is feasible.
The partial least squares regression models have high correlation coefficient (>0.99), low root-mean-square error of calibration (<1.5%), low root-mean-square error of cross-validation (<2.4%), and low root-mean-square error of prediction (<2.3%), indicating good quality of prediction for pesticides concentration.
Our results prove that the terahertz frequency-domain spectrum combined with chemometrics can be used for the detection of pesticides in food samples.
American Psychological Association (APA)
Chen, Qian& Jia, Shengyao& Qin, Jianyuan& Du, Yong& Zhao, Zongshan. 2020. A Feasible Approach to Detect Pesticides in Food Samples Using THz-FDS and Chemometrics. Journal of Spectroscopy،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1190802
Modern Language Association (MLA)
Chen, Qian…[et al.]. A Feasible Approach to Detect Pesticides in Food Samples Using THz-FDS and Chemometrics. Journal of Spectroscopy No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1190802
American Medical Association (AMA)
Chen, Qian& Jia, Shengyao& Qin, Jianyuan& Du, Yong& Zhao, Zongshan. A Feasible Approach to Detect Pesticides in Food Samples Using THz-FDS and Chemometrics. Journal of Spectroscopy. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1190802
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1190802