NIR spectroscopy detects chlorpyrifos-methyl pesticide residue in rough, brown, and milled rice

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creativework.keywordsFood safety, Grain quality, NIR spectroscopy, Pesticide residue, Rice
dc.contributor.authorRodriguez, Fatima S.
dc.contributor.authorArmstrong, Paul R.
dc.contributor.authorMaghirang, Elizabeth B.
dc.contributor.authorYaptenco, Kevin F.
dc.contributor.authorScully, Erin D.
dc.contributor.authorArthur, Frank H.
dc.contributor.authorBrabec, Daniel L.
dc.contributor.authorAdviento-Borbe, Arlene D.
dc.contributor.authorSuministrado, Delfin C.
dc.date.accessioned2026-08-10T08:02:45Z
dc.date.available2026-08-10T08:02:45Z
dc.date.issued2020-10-01
dc.descriptionFull text
dc.description.abstractA rapid technique that uses near-infrared reflectance (NIR) spectroscopy for simultaneous qualitative and quantitative determination of the presence of varying concentrations of chlorpyrifos-methyl in bulk samples of rough, brown, and milled rice was established. Five rice varieties, free of pesticides, obtained from RiceTec Inc. and USDA-ARS Arkansas experimental field were used as rough rice samples and also processed to obtain corresponding brown and milled rice. Rice samples were treated with StorcideTM II containing varying levels of the active ingredient, chlorpyrifos-methyl: 0, 1.5, 3, 6, 9, and 12 ppm for rough rice, 0, 0.75, 1.5, 3, 4.5, and 6 ppm for brown rice, and 0, 0.1, 0.2, 0.4, 0.6, and 0.8 ppm for milled rice. Concentrations of chlorpyrifos-methyl were verified using gas chromatography-mass spectrometry analyses. A commercial NIR spectrometer (950-1650 nm wavelength range) was used to obtain spectra of bulk samples. Using partial least squares analysis for quantitative analysis, independent validation showed that chlorpyrifos-methyl residues in rough, brown, and milled rice are predictable with R2 ranging from 0.702 to 0.839 and standard error of prediction (SEP) of 1.763 to 2.374 for rough rice, R2 ranging from 0.722 to 0.800 and SEP of 0.953 to 1.168 for brown rice, and R2 ranging from 0.693 to 0.789 and SEP of 0.131 to 0.164 for milled rice. For qualitative analysis obtained using discriminant analysis, rough rice samples with concentrations of 0, 1.5, and 3 ppm pooled as low pesticide level (LPL) is distinguishable to 6, 9, and 12 ppm which were pooled as high pesticide level (HPL). Similarly, for brown and milled rice, the lower three concentrations pooled as LPL is distinguishable from the higher three concentrations pooled as HPL. Independent validation showed overall correct classifications ranging from 77.8% to 92.6% for rough rice, 79.6% to 88.9% for brown rice, and 94.4% to 100% for milled rice.
dc.identifier.citationRodriguez, F. S., Armstrong, P. R., Maghirang, E. B., Yaptenco, K. F., Scully, E. D., Arthur, F. H., Brabec, D. L., Adviento-Borbe, A. D., & Suministrado, D. C. (2020). NIR spectroscopy detects chlorpyrifos-methyl pesticide residue in rough, brown, and milled rice. American Society of Agricultural and Biological Engineers, 36(6), 983–993. https://doi.org/10.13031/aea.14001
dc.identifier.doidoi: 10.13031/aea.14001
dc.identifier.issn08838542
dc.identifier.urihttps://lakasa.dmmmsu.edu.ph/handle/123456789/2311
dc.language.isoen
dc.publisherAmerican Society of Agricultural and Biological Engineers
dc.relation.urihttps://elibrary.asabe.org/azdez.asp?JID=3&AID=51941&CID=aeaj2020&v=36&i=6&T=1&refer=7&access=
dc.rights.licenseCC-BY-NC-ND 4.0
dc.sdgSDG 2
dc.sdgSDG 3
dc.sdgSDG 12
dc.subjectNear-infrared spectroscopy
dc.subjectChlorpyrifos-methyl
dc.subjectPesticide residues
dc.subjectRice
dc.subjectFood safety
dc.subjectGrain quality
dc.subject.ddcNear-Infrared Spectroscopy
dc.subject.ddcPesticide Residues
dc.subject.ddcRice--Analysis
dc.subject.ddcFood Safety
dc.subject.lcshNear infrared spectroscopy
dc.subject.lcshPesticide residues in food
dc.subject.lcshRice--Analysis
dc.subject.lcshFood safety
dc.subject.lcshChlorpyrifos-methyl
dc.titleNIR spectroscopy detects chlorpyrifos-methyl pesticide residue in rough, brown, and milled rice
dc.typeArticle
oaire.citation.endPage993
oaire.citation.issue6
oaire.citation.startPage983
oaire.citation.volume36
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