dc.contributor.author | Castro Reigía, David | |
dc.contributor.author | García Esteban-Barcina, Iker | |
dc.contributor.author | Sanllorente Méndez, Silvia | |
dc.contributor.author | Sarabia Peinador, Luis Antonio | |
dc.contributor.author | Amigo Rubio, José Manuel | |
dc.contributor.author | Ortiz Fernández, María de la Cruz | |
dc.date.accessioned | 2024-05-30T15:08:58Z | |
dc.date.available | 2024-05-30T15:08:58Z | |
dc.date.issued | 2024-01 | |
dc.identifier.citation | Journal of Food Engineering 361 : (2024) // Article ID 111738 | es_ES |
dc.identifier.issn | 0260-8774 | |
dc.identifier.issn | 1873-5770 | |
dc.identifier.uri | http://hdl.handle.net/10810/68285 | |
dc.description.abstract | Dough fermentation is a fundamental step in bread manufacturing, commonly supervised by bakery experts. This work aims to develop an efficient technology based on near infrared spectroscopy (NIR) and partial least squares-discriminant analysis (PLS-DA) to determine the fermentation state of bread loaves in the bakery industry. Knowing the fermentation state of the loaves during the manufacturing will allow to act in the production line, avoiding introducing an inadequate loaf in the oven and reducing costs. For that, a new methodology is proposed that consists in reproducing the knowledge of a Master Baker through a NIR spectrometer. Regarding the sequentiality of the objects and the real applicability of the method, three different cases were proposed using PLS-DA, getting that, in the best case, the sensitivity of the prediction set for the unfermented doughs was 88% and for the fermented and over-fermented was 86%; whereas the specificities were all greater than 86%. | es_ES |
dc.description.sponsorship | This work has been funded by the Ministerio de Industria, Comercio y Turismo under Project PHOTONICS4BAKERY (AEI-010500-2021b-111) and Consejería de Educación of JCyL under Project BU052P20 cofinanced with Regional European Funds. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Elsevier | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ | * |
dc.subject | bread fermentation | es_ES |
dc.subject | NIR spectroscopy | es_ES |
dc.subject | monitorization | es_ES |
dc.subject | PLS-DA | es_ES |
dc.subject | sensitivity | es_ES |
dc.subject | specificity | es_ES |
dc.title | Bread fermentation monitoring through NIR spectroscopy and PLS-DA. Determining the optimal fermentation point in bread doughs | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.holder | © 2023 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-
nc-nd/4.0/) | es_ES |
dc.rights.holder | Atribución-NoComercial-SinDerivadas 3.0 España | * |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S0260877423003369 | es_ES |
dc.identifier.doi | 10.1016/j.jfoodeng.2023.111738 | |
dc.departamentoes | Química analítica | es_ES |
dc.departamentoeu | Kimika analitikoa | es_ES |