Ability of near infrared spectroscopy and chemometrics to measure the phytic acid content in maize flour

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dc.authorid0000-0003-2654-739Xen_US
dc.authorid0000-0001-6944-0512en_US
dc.authorscopusid57195197361en_US
dc.authorscopusid22950699300en_US
dc.authorwosidFWO-9715-2022en_US
dc.authorwosidAAG-4313-2019en_US
dc.contributor.authorŞerment, Mehmet
dc.contributor.authorKahrıman, Fatih
dc.date.accessioned2023-06-05T13:02:16Z
dc.date.available2023-06-05T13:02:16Z
dc.date.issued2021en_US
dc.departmentFakülteler, Ziraat Fakültesi, Tarla Bitkileri Bölümü
dc.description.abstractPhytic acid is one of the important biochemical components in maize as in many plant species. Near infrared spectroscopy has a potential for determination of the phytic acid content in the maize grain. However, there are a limited number of studies on the determination of phytic acid in maize. Also, the effect of chemometric methods on the success of near infrared spectroscopy calibration models for phytic acid content has not been investigated sufficiently yet. To fill these gaps, we create a total of 360 different prediction models and evaluate the effect of chemometric methods on prediction robustness. To develop calibration models, 4 derivatives, 5 pretreatments, 9 wavelength selection methods were used, and partial least squares regression and support vector machines regression methods were applied. Model reliability was evaluated by external validation. Results revealed that spectral pretreatment and wavelength selection methods improve model prediction results. In general, support vector machines yielded more successful results than partial least squares models in detecting phytic acid. The best model was the combination of first derivative + standard normal variate + interval partial least squares combined with support vector regression. While creating calibration models for phytic acid detection, it was concluded that the use of appropriate chemometric methods increases the success of the model.en_US
dc.identifier.citationŞerment, M., & Kahrıman, F. (2021). Ability of near infrared spectroscopy and chemometrics to measure the phytic acid content in maize flour. Spectroscopy Letters, 54(7), 520-527. doi:10.1080/00387010.2021.1950189en_US
dc.identifier.doi10.1080/00387010.2021.1950189
dc.identifier.endpage527en_US
dc.identifier.issn0038-7010
dc.identifier.issn1532-2289
dc.identifier.issue7en_US
dc.identifier.scopus2-s2.0-85110796925
dc.identifier.startpage520en_US
dc.identifier.urihttps://doi.org/10.1080/00387010.2021.1950189
dc.identifier.urihttps://hdl.handle.net/20.500.12428/4258
dc.identifier.volume54en_US
dc.identifier.wosWOS:000674158300001
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorŞerment, Mehmet
dc.institutionauthorKahrıman, Fatih
dc.language.isoen
dc.publisherTaylor and Francis Ltd.en_US
dc.relation.ispartofSpectroscopy Lettersen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAntinutrientsen_US
dc.subjectphytateen_US
dc.subjectregressionen_US
dc.subjectZea maysen_US
dc.titleAbility of near infrared spectroscopy and chemometrics to measure the phytic acid content in maize flour
dc.typeArticle

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