Replication Data for: NIR-HSI as a tool to predict deoxynivalenol and fumonisins in maize kernels: a step forward in preventing mycotoxin contamination

DOI

Reflectance data for different samples of maize kernels are provided. Concentration of deoxynivalenol and fumonisins determined by HPLC-DAD and HPLC-fluorescence, and raw reflectance data acquired from maize samples using NIR-HSI (893-1730 nm) equipment. From these raw data regression models were developed for predicting DON, FB1, FB2 and FB1+FB2 contamination in samples of maize kernels. Equally, classification models were developed for classifying samples of maize kernels according to its DON, FB1+FB2 or DON+FB1+FB2 contamination. Unscrambler software was used to develop the regression models, while Quasar was used to develop the classification models.

Unscrambler, 7.6

Quasar, 1.7

Identifier
DOI https://doi.org/10.34810/data2012
Metadata Access https://dataverse.csuc.cat/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34810/data2012
Provenance
Creator Borràs Vallverdú, Bernat ORCID logo; Marín Sillué, Sònia ORCID logo; Sanchís Almenar, Vicente ORCID logo; Gatius Cortiella, Ferran ORCID logo; Ramos Girona, Antonio J. ORCID logo
Publisher CORA.Repositori de Dades de Recerca
Contributor Ramos Girona, Antonio J.; Centre de Recerca en Agrotecnologia; Universitat de Lleida
Publication Year 2025
Funding Reference Agencia Estatal de Investigación PID2020-114836RB-I00 ; Ministerio de Ciencia, Innovación y Universidades PRE2018-085278
Rights CC BY-NC-SA 4.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/licenses/by-nc-sa/4.0
OpenAccess true
Contact Ramos Girona, Antonio J. (Universitat de Lleida. Agrotecnio-Cerca Center)
Representation
Resource Type Experimental data; Dataset
Format text/plain; text/tab-separated-values
Size 4413; 496485
Version 1.0
Discipline Agricultural Sciences; Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Life Sciences