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dc.contributor.authorTENA PAJUELO NOELIAen_GB
dc.contributor.authorBOIX SANFELIU Anaen_GB
dc.contributor.authorVON HOLST Christophen_GB
dc.date.accessioned2015-05-28T09:48:31Z-
dc.date.available2015-04-10en_GB
dc.date.available2015-05-28T09:48:31Z-
dc.date.created2015-04-09en_GB
dc.date.issued2015en_GB
dc.date.submitted2014-10-23en_GB
dc.identifier.citationFOOD CONTROL vol. 54 p. 103-110en_GB
dc.identifier.issn0956-7135en_GB
dc.identifier.urihttp://publications.jrc.ec.europa.eu/repository/handle/JRC92307-
dc.description.abstractNowadays there is a strong need for methods capable of differentiating distillers dried grains with solubles (DDGS) according to their geographical and/or botanical origin. In this study, near infrared microscopy (NIRM) has been applied to differentiate corn and wheat DDGS samples and to differentiate corn DDGS from USA, Europe an China. Two multivariate prediction models have been developed for the discriminations. The models have been validated by cross validation and with an external set of samples and have been used to predict the botanical and geographical origin. Furthermore the probability of wrong prediction of the models has been calculated, to assess their performance profile. The prediction showed very good capability of the model to classify samples according to their botanical origin, whereas satisfying results were exclusively obtained when separating samples from China against the pooled set of samples from USA and Europeen_GB
dc.description.sponsorshipJRC.D.5-Standards for Food Bioscienceen_GB
dc.format.mediumOnlineen_GB
dc.languageENGen_GB
dc.publisherELSEVIER SCI LTDen_GB
dc.relation.ispartofseriesJRC92307en_GB
dc.titleIdentification of botanical and geographical origin of distillers dried grains with solubles by near infrared microscopyen_GB
dc.typeArticles in periodicals and booksen_GB
dc.identifier.doi10.1016/j.foodcont.2015.01.033en_GB
JRC Directorate:Health, Consumers and Reference Materials

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