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Biblioteca(s): |
Ebooks. |
Data corrente: |
16/06/2011 |
Data da última atualização: |
16/06/2011 |
Autoria: |
SPACCAPIETRA, S.; PAN, J. Z.; THIRAN, P.; HALPIN, T.; STAAB, S.; SVATEK, V.; SHVAIKO, P.; RODDICK, J. |
Afiliação: |
Stefano Spaccapietra; Jeff Z. Pan; Philippe Thiran; Terry Halpin; Steffen Staab; Vojtech Svatek; Pavel Shvaiko; John Roddick. |
Título: |
Journal on Data Semantics XI. |
Ano de publicação: |
2008 |
Fonte/Imprenta: |
Springer eBooks. |
Descrição Física: |
v.: digital |
Série: |
Lecture Notes in Computer Science,5383 |
ISBN: |
9783540921486 |
Idioma: |
Inglês |
Palavras-Chave: |
Computer Communication Networks; Data mining; Data Mining and Knowledge Discovery; Database Management; Information Storage and Retrieval; Information storage and retrieval systems; Information Systems and Communication Service; Information Systems Applications (incl.Internet). |
Thesaurus Nal: |
computer science; information systems. |
Categoria do assunto: |
-- |
URL: |
https://dx.doi.org/10.1007/978-3-540-92148-6
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Marc: |
LEADER 01034nam a2200337 a 4500 001 1892747 005 2011-06-16 008 2008 bl uuuu u0uu1 u #d 020 $a9783540921486 100 1 $aSPACCAPIETRA, S. 245 $aJournal on Data Semantics XI.$h[electronic resource] 260 $aSpringer eBooks.$c2008 300 $cv.: digital 490 $aLecture Notes in Computer Science,5383 650 $acomputer science 650 $ainformation systems 653 $aComputer Communication Networks 653 $aData mining 653 $aData Mining and Knowledge Discovery 653 $aDatabase Management 653 $aInformation Storage and Retrieval 653 $aInformation storage and retrieval systems 653 $aInformation Systems and Communication Service 653 $aInformation Systems Applications (incl.Internet) 700 1 $aPAN, J. Z. 700 1 $aTHIRAN, P. 700 1 $aHALPIN, T. 700 1 $aSTAAB, S. 700 1 $aSVATEK, V. 700 1 $aSHVAIKO, P. 700 1 $aRODDICK, J.
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Ebooks (Ebooks) |
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Biblioteca(s): |
Embrapa Semiárido. |
Data corrente: |
19/01/2017 |
Data da última atualização: |
31/01/2017 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
C - 0 |
Autoria: |
MALEGORI, C.; GRASSI, S.; MARQUES, E. J. N.; FREITAS, S. T. de; CASIRAGHI, E. |
Afiliação: |
CRISTINA 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. |
Título: |
Vitamin C distribution in acerola fruit by near infrared hyperspectral imaging. |
Ano de publicação: |
2016 |
Fonte/Imprenta: |
Journal of Spectral Imaging, v. 5/6, p. 1-4, dec. 2016. |
Idioma: |
Francês |
Conteúdo: |
The 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. MenosThe 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 ... Mostrar Tudo |
Palavras-Chave: |
Classical least square; Hiperespectral do infravermelho; Imagem hiperspectral no infravermelho próximo (NIR-HSI); Near infrared hyperspectral imaging; Quadrante mínimo clássico (CLS). |
Thesagro: |
Acerola; Vitamina C. |
Thesaurus NAL: |
Malpighia emarginata. |
Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/153556/1/Sergio-2016.pdf
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Marc: |
LEADER 02374naa a2200265 a 4500 001 2061202 005 2017-01-31 008 2016 bl uuuu u00u1 u #d 100 1 $aMALEGORI, C. 245 $aVitamin C distribution in acerola fruit by near infrared hyperspectral imaging.$h[electronic resource] 260 $c2016 520 $aThe 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. 650 $aMalpighia emarginata 650 $aAcerola 650 $aVitamina C 653 $aClassical least square 653 $aHiperespectral do infravermelho 653 $aImagem hiperspectral no infravermelho próximo (NIR-HSI) 653 $aNear infrared hyperspectral imaging 653 $aQuadrante mínimo clássico (CLS) 700 1 $aGRASSI, S. 700 1 $aMARQUES, E. J. N. 700 1 $aFREITAS, S. T. de 700 1 $aCASIRAGHI, E. 773 $tJournal of Spectral Imaging$gv. 5/6, p. 1-4, dec. 2016.
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