Detection of deltamethrin in cabbages using visible shortwave near-infrared spectroscopy
Journal
Food Research
Journal Volume
5
Journal Issue
3
Pages
273-280
Date Issued
2021
Author(s)
Abstract
Pesticides have long been used in the cabbage industry to control pest infestation. This study investigated the potential application of low-cost and portable visible shortwave near-infrared spectroscopy for the detection of deltamethrin residue in cabbages. A total of sixty organic cabbage samples were used. The sample was divided into four batches, three batches were sprayed with deltamethrin pesticide whereas the remaining batch was not sprayed (control sample). The first three batches of the cabbages were sprayed with the pesticide at three different concentrations, namely low, medium and high with the values of 0.08, 0.11 and 0.14% volume/volume (v/v), respectively. Spectral data of the cabbage samples were collected using visible shortwave near-infrared (VSNIR) spectrometer with wavelengths range between 200 and 1100 nm. Gas chromatography-electron capture detector (GC-ECD) was used to determine the concentration of deltamethrin residues in the cabbages. Partial least square (PLS) regression method was adopted to investigate the relationship between the spectral data and deltamethrin concentration values. The calibration model produced the values of coefficient of determination (R2) and the root mean square error of calibration (RMSEC) of 0.98 and 0.02, respectively. For the prediction model, the values of R2 and the root mean square error of prediction (RMSEP) were 0.94 and 0.04, respectively. These results demonstrated that the proposed spectroscopic measurement is a promising technique for the detection of pesticide at different concentrations in cabbage samples. ? 2021 The Authors. Published by Rynnye Lyan Resources.
Subjects
Cabbages
GC-ECD
MRL
Pesticide Residues
Spectroscopy
deltamethrin
dichlorvos
glyphosate
methanol
mycotoxin
pesticide residue
pyrethroid
sodium
agronomy
Article
cabbage
chlorophyll content
climate change
environmental factor
exploratory factor analysis
Fusarium
gas chromatography
infrared spectroscopy
kiwifruit
least square analysis
limit of detection
limit of quantitation
maize
mass spectrometry
measurement accuracy
near infrared spectroscopy
principal component analysis
signal noise ratio
support vector machine
validation process
water pollution
SDGs
Type
journal article