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dc.contributor.authorMALEGORI, C.pt_BR
dc.contributor.authorGRASSI, S.pt_BR
dc.contributor.authorMARQUES, E. J. N.pt_BR
dc.contributor.authorFREITAS, S. T. dept_BR
dc.contributor.authorCASIRAGHI, E.pt_BR
dc.date.accessioned2017-01-19T11:11:11Zpt_BR
dc.date.available2017-01-19T11:11:11Zpt_BR
dc.date.created2017-01-19pt_BR
dc.date.issued2016pt_BR
dc.identifier.citationJournal of Spectral Imaging, v. 5/6, p. 1-4, dec. 2016.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1061202pt_BR
dc.descriptionThe study aims at developing a methodology for qualitative mapping of nutraceutical compounds in fruit by near infrared hyperspectral imaging (NIR-HSI), focusing on vitamin C mapping in acerola (Malpighia emarginata D.C.), a Brazilian super-fruit characterised by its high content of ascorbic acid. Despite the fact that the spectral approach has often been applied to agricultural crops, research on acerola is very limited. So far, it is known that ascorbic acid decreases in acerola during ripening, but there is no information about its distribution in the fruit from green to red ripe maturity stages. Towards this aim, hyperspectral images of ten sliced acerola, picked at three maturity stages, were acquired using a SisuChema NIR-HSI system. On the pre-processed images, combined in a omprehensive matrix, principal component analysis was computed to select relevant components for classical least square (CLS) regression. CLS allowed distribution maps of ascorbic acid to be obtained (non-negativity, LOF = 1.9%), using, as reference spectra, acerola juices enriched with 0% and 5% of vitamin C powder. The pixels correlated with 5%-enriched juice showed a reduction from 29% to 6.5% according to colour changes, confirming a vitamin C decrease along the ripening stages. These results demonstrated the reliability of NIR-HSI for the evaluation of vitamin C distribution inside the different acerola areas. The presented approach presents the basis for qualitative mapping of nutraceutical compounds in fruits.pt_BR
dc.language.isofrafra
dc.rightsopenAccessfra
dc.subjectImagem hiperspectral no infravermelho próximo (NIR-HSI)pt_BR
dc.subjectHiperespectral do infravermelhopt_BR
dc.subjectQuadrante mínimo clássico (CLS)pt_BR
dc.subjectClassical least squarept_BR
dc.subjectNear infrared hyperspectral imagingpt_BR
dc.titleVitamin C distribution in acerola fruit by near infrared hyperspectral imaging.pt_BR
dc.typeArtigo de periódicopt_BR
dc.date.updated2017-01-31T11:11:11Zpt_BR
dc.subject.thesagroAcerolapt_BR
dc.subject.thesagroVitamina Cpt_BR
dc.subject.nalthesaurusMalpighia emarginatapt_BR
riaa.ainfo.id1061202pt_BR
riaa.ainfo.lastupdate2017-01-31pt_BR
dc.contributor.institutionCRISTINA MALEGORI, DeFENS Department of Food, Environmental and Nutritional Sciences, Università degli Studi di Milano, Milano, Italy; SILVIA GRASSI, DeFENS Department of Food, Environmental and Nutritional Sciences, Università degli Studi di Milano, Milano, Italy; EMANUEL JOSÉ NASCIMENTO MARQUES, UFPE; SERGIO TONETTO DE FREITAS, CPATSA; ERNESTINA CASIRAGHI, DeFENS Department of Food, Environmental and Nutritional Sciences, Università degli Studi di Milano, Milano, Italy.pt_BR
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