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Organic apples (cv. Elstar) quality evaluation during hot-air drying using Vis/NIR hyperspectral imaging

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Organic apples (cv. Elstar) quality evaluation during hot-air drying using Vis/NIR hyperspectral imaging

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dc.contributor.author Shrestha, Luna es_ES
dc.contributor.author Moscetti, Roberto es_ES
dc.contributor.author Crichton, Stuart es_ES
dc.contributor.author Hensel, Oliver es_ES
dc.contributor.author Sturm, Barbara es_ES
dc.date.accessioned 2019-02-18T07:59:09Z
dc.date.available 2019-02-18T07:59:09Z
dc.date.issued 2018-09-07
dc.identifier.isbn 9788490486887
dc.identifier.uri http://hdl.handle.net/10251/116817
dc.description.abstract [♥EN] Organic dried apples are common snacks fulfilling functional as well as nutritional aspects. However, appearance of dried slices does not always satisfy consumer requirements, thus, improvements are needed. In this study, partial least squares (PLS) regression models were successfully developed to monitor changes in colour and moisture content in apple slices during the drying process over the Vis/NIR spectral range. The regression vector analysis results suggested that features at 580, 750 and 970 nm are better for predicting moisture content, while 580 and 680 nm allow to measure the (a*/b*) colour ratio. es_ES
dc.description.sponsorship The authors gratefully acknowledge CORE Organic Plus for financial support through the SusOrganic project titled: ‘Development of quality standards and optimized processing methods for organic produce’ (Nr: 2814OE006) es_ES
dc.format.extent 8 es_ES
dc.language Inglés es_ES
dc.publisher Editorial Universitat Politècnica de València es_ES
dc.relation.ispartof IDS 2018. 21st International Drying Symposium Proceedings es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Drying es_ES
dc.subject Dehydration es_ES
dc.subject Dewatering es_ES
dc.subject Emerging technologies es_ES
dc.subject Products quality es_ES
dc.subject Process control es_ES
dc.subject Environmental es_ES
dc.subject Evaporation es_ES
dc.subject Sublimation es_ES
dc.subject Diffusion es_ES
dc.subject Energy es_ES
dc.subject Intensification es_ES
dc.subject Dried apple slices es_ES
dc.subject Moisture content es_ES
dc.subject Colour es_ES
dc.subject PLSR modelling es_ES
dc.title Organic apples (cv. Elstar) quality evaluation during hot-air drying using Vis/NIR hyperspectral imaging es_ES
dc.type Capítulo de libro es_ES
dc.type Comunicación en congreso es_ES
dc.identifier.doi 10.4995/IDS2018.2018.7689
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/618107/EU/Coordination of European Transnational Research in Organic Food and Farming Systems/ es_ES
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Shrestha, L.; Moscetti, R.; Crichton, S.; Hensel, O.; Sturm, B. (2018). Organic apples (cv. Elstar) quality evaluation during hot-air drying using Vis/NIR hyperspectral imaging. En IDS 2018. 21st International Drying Symposium Proceedings. Editorial Universitat Politècnica de València. 973-980. https://doi.org/10.4995/IDS2018.2018.7689 es_ES
dc.description.accrualMethod OCS es_ES
dc.relation.conferencename 21st International Drying Symposium es_ES
dc.relation.conferencedate Septiembre 11-14,2018 es_ES
dc.relation.conferenceplace Valencia, Spain es_ES
dc.relation.publisherversion http://ocs.editorial.upv.es/index.php/IDS/ids2018/paper/view/7689 es_ES
dc.description.upvformatpinicio 973 es_ES
dc.description.upvformatpfin 980 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.pasarela OCS\7689 es_ES
dc.contributor.funder European Commission es_ES


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