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dc.contributor.authorHernandez-Hierro, Jose Miguel*
dc.contributor.authorValverde, Juan*
dc.contributor.authorVillacreces, Salvador*
dc.contributor.authorReilly, Kim*
dc.contributor.authorGaffney, Michael*
dc.contributor.authorGonzalez-Miret, Maria Lourdes*
dc.contributor.authorHeredia, Francisco J.*
dc.contributor.authorDowney, Gerard*
dc.date.accessioned2012-10-10T10:48:40Z
dc.date.available2013-12-12T10:33:06Z
dc.date.issued11/07/2012
dc.identifier.citationFeasibility Study on the Use of Visible–Near-Infrared Spectroscopy for the Screening of Individual and Total Glucosinolate Contents in Broccoli. José Miguel Hernández-Hierro, Juan Valverde, Salvador Villacreces, Kim Reilly, Michael Gaffney, Maria Lourdes González-Miret, Francisco José Heredia, and Gerard Downey. J. Agric. Food Chem., 2012, 60 (30), pp 7352–7358. DOI: 10.1021/jf3018113en_GB
dc.identifier.issn0021-8561
dc.identifier.urihttp://hdl.handle.net/11019/220
dc.descriptionThis document is the Accepted Manuscript version of a Published Work that appeared in final form in Journal of Agricultural and Food Chemistry, copyright © American Chemical Society, after peer review and technical editing by the publisher. To access the final edited and published work see http://dx.doi.org/10.1021/jf3018113.
dc.descriptionpeer-revieweden_GB
dc.description.abstractThe 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.en_GB
dc.description.sponsorshipJ.M.H.-H. thanks the Spanish MICINN for the Juan de la Cierva contract (JCI-2011-09201) and Universidad de Sevilla for the mobility grant (Universidad de Sevilla Research Plan). Spanish MICINN project AGL2011-30254-C02 and Junta de Andalucia PGC project AGR 6331.en_GB
dc.language.isoenen_GB
dc.publisherAmerican Chemical Societyen_GB
dc.relation.ispartofseriesJournal of Agricultural and Food Chemistry;volume 60 (30)
dc.subjectGlucosinolatesen_GB
dc.subjectBroccolien_GB
dc.subjectvisible spectroscopyen_GB
dc.subjectnear infrared spectroscopyen_GB
dc.subjectchemometricsen_GB
dc.titleFeasibility Study on the Use of Visible–Near-Infrared Spectroscopy for the Screening of Individual and Total Glucosinolate Contents in Broccolien_GB
dc.typeArticleen_GB
dc.identifier.rmisNFBY-0106-5864
dc.identifier.doihttp://dx.doi.org/10.1021/jf3018113
dc.contributor.sponsorSpanish MICINN
dc.contributor.sponsorJunta de Andalucia
dc.contributor.sponsorGrantNumberJCI-2011-09201
dc.contributor.sponsorGrantNumberAGL2011-30254-C02
dc.contributor.sponsorGrantNumberAGR 6331
refterms.dateFOA2018-01-12T07:31:27Z


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