dc.creator | Hernández Hierro, José Miguel | es |
dc.creator | Valverde, Juan | es |
dc.creator | Villacreces, Salvador | es |
dc.creator | Reilly, Kim | es |
dc.creator | Gaffney, Michael | es |
dc.creator | González-Miret Martín, María Lourdes | es |
dc.creator | Heredia Mira, Francisco José | es |
dc.creator | Downey, Gerard | es |
dc.date.accessioned | 2022-10-06T15:29:09Z | |
dc.date.available | 2022-10-06T15:29:09Z | |
dc.date.issued | 2012 | |
dc.identifier.citation | Hernández Hierro, J.M., Valverde, J., Villacreces, S., Reilly, K., Gaffney, M., González-Miret Martín, M.L.,...,Downey, G. (2012). Feasibility study on the use of visible-near-infrared spectroscopy for the screening of individual and total glucosinolate contents in broccoli. Journal of Agricultural and Food Chemistry, 60 (30), 7352-7358. https://doi.org/10.1021/jf3018113. | |
dc.identifier.issn | 0021-8561 | es |
dc.identifier.issn | 1520-5118 | es |
dc.identifier.uri | https://hdl.handle.net/11441/137696 | |
dc.description.abstract | The potential of visible-near-infrared spectroscopy to determine selected individual and total glucosinolates in broccoli has been evaluated. Modified partial least-squares regression was used to develop quantitative models to predict glucosinolate contents. Both the whole spectrum and different spectral regions were separately evaluated to develop the quantitative models; in all cases the best results were obtained using the near-infrared zone between 2000 and 2498 nm. These models have been externally validated for the screening of glucoraphanin, glucobrassicin, 4-methoxyglucobrassicin, neoglucobrassicin, and total glucosinolates contents. In addition, discriminant partial least-squares was used to distinguish between two possible broccoli cultivars and showed a high degree of accuracy. In the case of the qualitative analysis, best results were obtained using the whole spectrum (i.e., 400-2498 nm) with a correct classification rate of 100% in external validation being obtained. | es |
dc.format | application/pdf | es |
dc.format.extent | 26 p. | es |
dc.language.iso | eng | es |
dc.publisher | American Chemical Society | es |
dc.relation.ispartof | Journal of Agricultural and Food Chemistry, 60 (30), 7352-7358. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Broccoli | es |
dc.subject | Chemometrics | es |
dc.subject | Glucosinolates | es |
dc.subject | Near-infrared spectroscopy | es |
dc.subject | Visible spectroscopy | es |
dc.title | Feasibility study on the use of visible-near-infrared spectroscopy for the screening of individual and total glucosinolate contents in broccoli | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/acceptedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Nutrición y Bromatología, Toxicología y Medicina Legal | es |
dc.relation.publisherversion | https://doi.org/10.1021/jf3018113 | es |
dc.identifier.doi | 10.1021/jf3018113 | es |
dc.journaltitle | Journal of Agricultural and Food Chemistry | es |
dc.publication.volumen | 60 | es |
dc.publication.issue | 30 | es |
dc.publication.initialPage | 7352 | es |
dc.publication.endPage | 7358 | es |