Near-infrared hyperspectral imaging for deoxynivalenol and ergosterol estimation in wheat samples
dc.contributor.author | Femenias, Antoni | |
dc.contributor.author | Gatius Cortiella, Ferran | |
dc.contributor.author | Ramos Girona, Antonio J. | |
dc.contributor.author | Sanchís Almenar, Vicente | |
dc.contributor.author | Marín Sillué, Sònia | |
dc.date.accessioned | 2020-12-22T09:38:53Z | |
dc.date.available | 2021-09-30T22:19:48Z | |
dc.date.issued | 2020-09-30 | |
dc.date.updated | 2020-12-22T09:38:53Z | |
dc.description.abstract | The 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.sponsorship | The 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.mimetype | application/pdf | |
dc.identifier.doi | https://doi.org/10.1016/j.foodchem.2020.128206 | |
dc.identifier.idgrec | 030714 | |
dc.identifier.issn | 0308-8146 | |
dc.identifier.uri | http://hdl.handle.net/10459.1/70135 | |
dc.language.iso | eng | |
dc.publisher | Elsevier | |
dc.relation | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/AGL2017-87755-R/ES/TECNICAS DE SELECCION Y PROCESADO DE CEREALES, Y SU IMPACTO EN LA CONTAMINACION POR DEOXINIVALENOL EN ALIMENTOS INFANTILES/ | |
dc.relation.isformatof | Versió postprint del document publicat a: https://doi.org/10.1016/j.foodchem.2020.128206 | |
dc.relation.ispartof | Food Chemistry, 2021, vol. 341, part 2, article 128206 | |
dc.rights | cc-by-nc-nd, (c) Elsevier, 2020 | |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es | |
dc.subject | Hyperspectral imaging | |
dc.subject | Deoxynivalenol | |
dc.subject | Ergosterol | |
dc.subject | Near infrared | |
dc.subject | Cereal analysis | |
dc.title | Near-infrared hyperspectral imaging for deoxynivalenol and ergosterol estimation in wheat samples | |
dc.type | info:eu-repo/semantics/article | |
dc.type.version | info:eu-repo/semantics/acceptedVersion | |