Potential of near infrared spectroscopy as a rapid method to detect aflatoxins in brown rice

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dc.contributor.authorDachoupakan Sirisomboon, C.
dc.contributor.authorWongthip, P.
dc.contributor.authorSirisomboon, P.
dc.date.accessioned2026-08-06T10:24:51Z
dc.date.available2026-08-06T10:24:51Z
dc.date.issued2019-06-01
dc.description.abstractBrown rice is a main popular health food with high nutritional value and health benefits. As a result of poor post-harvest drying and inappropriate storage conditions, rice grains are often damaged through fungal spoilage as well as mycotoxin production. The objective of this research was to evaluate the possibility of using the near infrared spectroscopy, with a wavenumber range between 12500 and 4000 cm<sup>−1</sup> (800–2500 nm), as a rapid method for detection of aflatoxins in brown rice. Firstly, storage trials were carried out to generate representative of samples contaminated and non-contaminated with aflatoxins. These data were used to create a partial least squares regression model using 120 brown rice samples with the required near infrared spectral data and aflatoxin concentration levels that were determined using a standard enzyme-linked immunosorbent assays method. The accuracy of developed models was externally validated using the test set. The statistical model developed from the treated spectra (vector normalization; SNV) provided the best accuracy in prediction with a coefficient of determination of prediction (r<sup>2</sup>) of 0.95, a root mean square error of prediction of 415.00 µg kg<sup>−1</sup> and a bias −54.00 µg kg<sup>−1</sup>. The model developed showed good predictive performance which suggests that it could have practical applications as a rapid method to detect aflatoxins in brown rice.
dc.identifier.citationJournal of Near Infrared Spectroscopy, 27(3), 232-240, 2019
dc.identifier.doi10.1177/0967033519835051
dc.identifier.issn09670335
dc.identifier.other2-s2.0-85062772439
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/9928
dc.sourceJournal of Near Infrared Spectroscopy
dc.subjectaflatoxins
dc.subjectbrown rice
dc.subjectNear infrared spectroscopy
dc.subjectpartial least squares regression
dc.titlePotential of near infrared spectroscopy as a rapid method to detect aflatoxins in brown rice
dc.typeArticle

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