Developing a multi-spectral NIR LED-based instrument for the detection of pesticide residues containing chlorpyrifos-methyl in rough, brown, and milled rice

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creativework.keywordschlorpyrifos-methyl pesticide residue (CMPR); light emitting diode; near infrared; organophosphates; pesticide residue; rice
dc.contributor.authorRodriguez-Macadaeg, Fatima
dc.contributor.authorArmstrong, Paul R.
dc.contributor.authorMaghirang, Elizabeth B.
dc.contributor.authorScully, Erin D.
dc.contributor.authorBrabec, Daniel L.
dc.contributor.authorArthur, Frank H.
dc.contributor.authorAdviento-Borbe, Arlene D.
dc.contributor.authorYaptenco, Kevin F.
dc.contributor.authorSuministrado, Delfin C.
dc.date.accessioned2026-08-19T06:27:47Z
dc.date.available2026-08-19T06:27:47Z
dc.date.issued2024-07
dc.descriptionFull text
dc.description.abstractA recent study showed the potential of the DA Perten 7200 NIR Spectrometer in detecting chlorpyrifos-methyl pesticide residue in rough, brown, and milled rice. However, this instrument is still lab-based and generally suited for point-of-sale testing. To provide a field-deployable version of this technique, an existing light emitting diode (LED)-based instrument that provides discrete NIR wavelength illumination and reflectance spectra over the range of 850–1550 nm was tested. Spectra were collected from rough, brown, and milled rice at different pesticide concentrations and analyzed for quantitative and qualitative measurement using partial least squares regression (PLS) and discriminant analysis (DA). Simulations for two LED-based instruments were also evaluated using corresponding segments of spectra from the DA7200 to represent LED illumination. For the simulation of the existing LED-based instrument (LEDPrototype1) fitted with 850, 910, 940, 970, 1070, 1200, 1300, 1450, and 1550 nm LED wavelengths, resulting R2 ranged from 0.52 to 0.71, and the correct classification was 70.4% to 100%. The simulation of a second LED instrument (LEDPrototype2) fitted with 980, 1050, 1200, 1300, 1450, 1550, 1600, and 1650 nm LED wavelengths showed R2 of 0.59 to 0.82 and correct classifications of 66% to 100%. These LED wavelengths were selected based on the significant wavelength regions from the PLS regression coefficients of DA7200 and the commercial availability of LED wavelengths. Results showed that it is possible to use a multi-spectral LED-based instrument to detect varying levels of chlorpyrifos-methyl pesticide residue in rough, brown, and milled rice.
dc.identifier.citationRodriguez-Macadaeg, F., Armstrong, P. R., Maghirang, E. B., Scully, E. D., Brabec, D. L., Arthur, F. H., Adviento-Borbe, A. D., Yaptenco, K. F., Suministrado, D. C. (2024). Developing a multi-spectral NIR LED-based instrument for the detection of pesticide residues containing chlorpyrifos-methyl in rough, brown, and milled rice. Sensors, 24(13), 1-13. https://doi.org/10.3390/s24134055
dc.identifier.doihttps://doi.org/10.3390/s24134055
dc.identifier.issn14248220
dc.identifier.urihttps://lakasa.dmmmsu.edu.ph/handle/123456789/2387
dc.language.isoen
dc.publisherSensors
dc.sdgSDG 2
dc.sdgSDG 3
dc.sdgSDG 9
dc.subjectAgricultural instruments
dc.subjectLight emitting diodes
dc.subjectNear infrared spectroscopy
dc.subject.ddcFood analysis
dc.subject.ddcFood technology
dc.subject.lcshPesticide residues in food
dc.subject.lcshChlorpyrifos
dc.subject.lcshRice--Analysis
dc.subject.lcshFood contamination
dc.titleDeveloping a multi-spectral NIR LED-based instrument for the detection of pesticide residues containing chlorpyrifos-methyl in rough, brown, and milled rice
dc.typeArticle
dcterms.accessRightsOpen access
oaire.citation.endPage13
oaire.citation.issue13
oaire.citation.startPage1
oaire.citation.volume24
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