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High throughput FT-MIR indirect analysis of sugars and acids in watermelon

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High throughput FT-MIR indirect analysis of sugars and acids in watermelon

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dc.contributor.author Martí-Renau, Raul es_ES
dc.contributor.author Sánchez, Guadalupe es_ES
dc.contributor.author ROSELLO RIPOLLES, SALVADOR es_ES
dc.contributor.author Valcárcel-Germes, Mercedes es_ES
dc.contributor.author Cebolla Cornejo, Jaime es_ES
dc.date.accessioned 2020-12-01T04:32:07Z
dc.date.available 2020-12-01T04:32:07Z
dc.date.issued 2019-12-01 es_ES
dc.identifier.issn 0308-8146 es_ES
dc.identifier.uri http://hdl.handle.net/10251/156100
dc.description.abstract [EN] Indirect measurements of taste-related compounds are required when a high number of samples has to be analyzed in a short period of time, with a minimum cost. For this purpose, FT-MIR partial least square (PLS) regression models for the prediction of total soluble solids, sugars and organic acids have been developed using three sample sets including breeding lines and commercial varieties of watermelon. Specific models with excellent performance were obtained only for sugars. Nevertheless, a general model supposed a compromise between the best and worse models and offered %RMSEP values of 11.3%, 11.1% and 11.7% for fructose, glucose and sucrose respectively. The model was applied to the selection of high content samples (selection pressure 20% and 30%) obtaining good sensitivity levels and mean percentile of selected samples close to the expected values (100% sensitivity). The robustness of FT-MIR models was assessed with predictions of external assays, obtaining reasonable performances. es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Food Chemistry es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Citrullus lanatus (Thunb.) Matsum. & Nakai es_ES
dc.subject Organoleptic quality es_ES
dc.subject Fructose es_ES
dc.subject Glucose es_ES
dc.subject Sucrose es_ES
dc.subject Breeding es_ES
dc.subject.classification GENETICA es_ES
dc.title High throughput FT-MIR indirect analysis of sugars and acids in watermelon es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.foodchem.2019.125227 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Universitario de Conservación y Mejora de la Agrodiversidad Valenciana - Institut Universitari de Conservació i Millora de l'Agrodiversitat Valenciana es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Biotecnología - Departament de Biotecnologia es_ES
dc.description.bibliographicCitation Martí-Renau, R.; Sánchez, G.; Rosello Ripolles, S.; Valcárcel-Germes, M.; Cebolla Cornejo, J. (2019). High throughput FT-MIR indirect analysis of sugars and acids in watermelon. Food Chemistry. 300:1-9. https://doi.org/10.1016/j.foodchem.2019.125227 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.foodchem.2019.125227 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 9 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 300 es_ES
dc.identifier.pmid 31351262 es_ES
dc.relation.pasarela S\391774 es_ES


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