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dc.contributor.authorFemenias, Antoni
dc.contributor.authorGatius Cortiella, Ferran
dc.contributor.authorRamos Girona, Antonio J.
dc.contributor.authorSanchís Almenar, Vicente
dc.contributor.authorMarín Sillué, Sònia
dc.date.accessioned2020-12-22T09:38:53Z
dc.date.available2021-09-30T22:19:48Z
dc.date.issued2020-09-30
dc.identifier.issn0308-8146
dc.identifier.urihttp://hdl.handle.net/10459.1/70135
dc.description.abstractThe present study aimed to evaluate the use of hyperspectral imaging (HSI)-NIR spectroscopy to assess the presence of DON and ergosterol presence in wheat samples through prediction and classification models. To achieve these objectives, a first set of bulk samples was scanned by HSI-NIR and divided into two subsamples, in which one that was analysed for ergosterol and the other another that was analysed for DON by HPLC. Thise method was repeated for a second larger set to build prediction and classification models. All the spectra were pretreated and statistically processed by PLS and LDA. The pPrediction models presented a RMSEP of 1.17 mg/kg and 501 µg/kg for ergosterol and DON, respectively. Classification achieved an encouraging accuracy of 85.4% for an independent validation set of samples. The results confirm that HSI-NIR may be a suitable technique for ergosterol quantification and DON classification of samples according to the DON EU legal limit for DON.
dc.description.sponsorshipThe authors are grateful to the University of Lleida (predoctoral grant), and to the Spanish Ministry of Science, Innovation and Universities (Project AGL2017-87755-R) for funding this work.
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherElsevier
dc.relationMINECO/PN2017-2020/AGL2017-87755-R
dc.relation.isformatofVersió postprint del document publicat a: https://doi.org/10.1016/j.foodchem.2020.128206
dc.relation.ispartofFood Chemistry, 2021, vol. 341, part 2, article 128206
dc.rightscc-by-nc-nd, (c) Elsevier, 2020
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es
dc.subjectHyperspectral imaging
dc.subjectDeoxynivalenol
dc.subjectErgosterol
dc.subjectNear infrared
dc.subjectCereal analysis
dc.titleNear-infrared hyperspectral imaging for deoxynivalenol and ergosterol estimation in wheat samples
dc.typeinfo:eu-repo/semantics/article
dc.date.updated2020-12-22T09:38:53Z
dc.identifier.idgrec030714
dc.type.versioninfo:eu-repo/semantics/acceptedVersion
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.identifier.doihttps://doi.org/10.1016/j.foodchem.2020.128206


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cc-by-nc-nd, (c) Elsevier, 2020
Except where otherwise noted, this item's license is described as cc-by-nc-nd, (c) Elsevier, 2020