E3S Web Conf.
Volume 251, 20212021 International Conference on Tourism, Economy and Environmental Sustainability (TEES 2021)
|Number of page(s)||6|
|Section||Environmental Ecological Analysis and Sustainable Development Research|
|Published online||15 April 2021|
The Organochlorine Pesticide Residues of Mesona Chinensis Benth by Near Infrared (NIR) Spectroscopy and Chemometrics
School of Chemistry and Environment, Jiaying University, Meizhou, Guangdong, 514015
* Corresponding author: email@example.com
Pesticide residue is a major problem in food safety. It is particularly important to detect pesticides in fruits and vegetables quickly and effectively The near infrared spectroscopy (NIR) technique was explored as a technique to predict organochlorine pesticides in Mesona chinensis Benth. Fourty-three samples were sacaned powder in a Antaris II FT-NIR. Samples were split into two sets, one set used as calibration (n=35) where the remaining samples (n=S) were used as validation set. The hexachlorocyclohexane (BHC). dichlorodiphenyltricliloroethane (DDT) and organochlorine residues were determined by gas chromatography as the reference ratio. The prediction model of total BHC. DDT and organochlorine of mesona chinensis benth was established by partial least square (PLS) method, which were optimized by the optimal spectral band range, spectral pretreatment and regression. Moreover, the prediction ability of the model was verified by validation set. The models gave the results that RMSEC. Rc. RMSEP and Rp of BHC. DDT and organochlorine residues respectively were 0.996. 0.9384, 0.151 and 0.9964; 1.21, 0.9889. 0.409. 0.9852: 2.21. 0.9423, 0.481, 0.9953. The relative errors of the predicted values are within 0.68% - 0.38% and - 0.34% - 6.88% and - 0.46% - 0.58% of the total validation set. It can be seen that the three models have good prediction effect, high precision and high stability, that is. NIR can be used as a simple, non-destructive, reliable and rapid method for the determination of organochlorine pesticide residues in mesona chinensis benth.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.