Open AccessDetection of deltamethrin in cabbages using visible shortwave near-infrared spectroscopy
Author(s) -
C. D. M. Ishkandar,
Nolila Mohd Nawi,
Rimfiel Janius,
Norida Mazlan,
Tien-Chih Lin
Publication year - 2021
Publication title -
food research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.218
H-Index - 7
ISSN - 2550-2166
DOI - 10.26656/fr.2017.5(3).742
Subject(s) - deltamethrin , analytical chemistry (journal) , calibration , residue (chemistry) , chemistry , partial least squares regression , pesticide , chromatography , mathematics , agronomy , statistics , biology , biochemistry
Pesticides have long been used in the cabbage industry to control pest infestation. Thisstudy investigated the potential application of low-cost and portable visible shortwavenear-infrared spectroscopy for the detection of deltamethrin residue in cabbages. A total ofsixty organic cabbage samples were used. The sample was divided into four batches, threebatches were sprayed with deltamethrin pesticide whereas the remaining batch was notsprayed (control sample). The first three batches of the cabbages were sprayed with thepesticide at three different concentrations, namely low, medium and high with the valuesof 0.08, 0.11 and 0.14% volume/volume (v/v), respectively. Spectral data of the cabbagesamples were collected using visible shortwave near-infrared (VSNIR) spectrometer withwavelengths range between 200 and 1100 nm. Gas chromatography-electron capturedetector (GC-ECD) was used to determine the concentration of deltamethrin residues inthe cabbages. Partial least square (PLS) regression method was adopted to investigate therelationship between the spectral data and deltamethrin concentration values. Thecalibration model produced the values of coefficient of determination (R2) and the rootmean square error of calibration (RMSEC) of 0.98 and 0.02, respectively. For theprediction model, the values of R2and the root mean square error of prediction (RMSEP)were 0.94 and 0.04, respectively. These results demonstrated that the proposedspectroscopic measurement is a promising technique for the detection of pesticide atdifferent concentrations in cabbage samples.