Estimation of the sensory properties of black tea samples using non-destructive near-infrared spectroscopy sensors

dc.contributor.author	Serhat Turgut, Sebahattin
dc.contributor.author	Entrenas, José A.
dc.contributor.author	Taşkın, Emre
dc.contributor.author	Garrido-Varo, Ana
dc.contributor.author	Pérez-Marín, D.C.
dc.date.accessioned	2024-02-07T10:28:17Z
dc.date.available	2024-02-07T10:28:17Z
dc.date.issued	2022
dc.identifier.uri	http://hdl.handle.net/10396/27224
dc.format.mimetype	application/pdf	es_ES
dc.language.iso	eng	es_ES
dc.publisher	Elsevier	es_ES
dc.rights	https://creativecommons.org/licenses/by/4.0/	es_ES
dc.source	Siles‐Lucas, M., González‐Miguel, J., Geller, R., Sanjuán, R., Pérez, J., & Martı́nez-Moreno, A. (2021). Potential influence of helminth molecules on COVID-19 pathology. Trends in Parasitology, 37(1), 11-14. https://doi.org/10.1016/j.pt.2020.10.002
dc.subject	Cupping test	es_ES
dc.subject	NIR chemometric Models
dc.subject	Non-destructive sensors
dc.subject	PCR
dc.subject	PLSR
dc.subject	Python
dc.title	Estimation of the sensory properties of black tea samples using non-destructive near-infrared spectroscopy sensors	es_ES
dc.type	info:eu-repo/semantics/article	es_ES
dc.relation.publisherversion	https://doi.org/10.1016/j.foodcont.2022.109260	es_ES
dc.relation.projectID	Unión Europea. CA19145	es_ES
dc.rights.accessRights	info:eu-repo/semantics/openAccess	es_ES