Analysis of corn and sorghum flour mixtures using laser-induced breakdown spectroscopy

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dc.authoridBean, Scott R. / 0000-0001-8678-8094
dc.authoridBoyaci, Ismail / 0000-0003-1333-060X
dc.authoridTilley, Michael / 0000-0003-1186-160X
dc.authorwosidBean, Scott R. / AAE-9327-2019
dc.authorwosidBoyaci, Ismail / A-5255-2013
dc.contributor.authorAkin, Pervin A.
dc.contributor.authorSezer, Banu
dc.contributor.authorBean, Scott R.
dc.contributor.authorPeiris, Kamaranga
dc.contributor.authorTilley, Michael
dc.contributor.authorApaydin, Hakan
dc.contributor.authorBoyaci, Ismail H.
dc.date.accessioned2021-11-01T15:06:06Z
dc.date.available2021-11-01T15:06:06Z
dc.date.issued2021
dc.department[Belirlenecek]
dc.description.abstractBACKGROUND In a world constantly challenged by climate change, corn and sorghum are two important grains because of their high productivity and adaptability, and their multifunctional use for different purposes such as human food, animal feed, and feedstock for many industrial products and biofuels. Corn and sorghum can be utilized interchangeably in certain applications; one grain may be preferred over the other for several reasons. The determination of the composition corn and sorghum flour mixtures may be necessary for economic, regulatory, environmental, functional, or nutritional reasons. RESULTS Laser-induced breakdown spectroscopy (LIBS) in combination with chemometrics, was used for the classification of flour samples based on the LIBS spectra of flour types and mixtures using partial least squares discriminant analysis (PLS-DA) and the determination of the sorghum ratio in sorghum / corn flour mixture based on their elemental composition using partial least squares (PLS) regression. Laser-induced breakdown spectroscopy with PLS-DA successfully identified the samples as either pure corn, pure sorghum, or corn-sorghum mixtures. Moreover, the addition of various levels of sorghum flour to mixtures of corn-sorghum flour were used for PLS analysis. The coefficient of determination values of calibration and validation PLS models are 0.979 and 0.965, respectively. The limit of detection of the PLS models is 4.36%. CONCLUSION This study offers a rapid method for the determination of the sorghum level in corn-sorghum flour mixtures and the classification of flour samples with high accuracy, a short analysis time, and no requirement for time-consuming sample preparation procedures. (c) 2020 Society of Chemical Industry
dc.identifier.doi10.1002/jsfa.10717
dc.identifier.endpage1084en_US
dc.identifier.issn0022-5142
dc.identifier.issn1097-0010
dc.identifier.issue3en_US
dc.identifier.pmid32776325
dc.identifier.scopus2-s2.0-85090065302
dc.identifier.scopusqualityQ1
dc.identifier.startpage1076en_US
dc.identifier.urihttps://doi.org/10.1002/jsfa.10717
dc.identifier.urihttps://hdl.handle.net/11491/7491
dc.identifier.volume101en_US
dc.identifier.wosWOS:000564850000001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.institutionauthor[Belirlenecek]
dc.language.isoen
dc.publisherWiley
dc.relation.ispartofJournal Of The Science Of Food And Agriculture
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectLIBSen_US
dc.subjectcornen_US
dc.subjectsorghumen_US
dc.subjectPLS regressionen_US
dc.subjectPLS-DAen_US
dc.titleAnalysis of corn and sorghum flour mixtures using laser-induced breakdown spectroscopy
dc.typeArticle

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