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Registro Completo |
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Biblioteca(s): |
Embrapa Semiárido. |
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Data corrente: |
19/01/2017 |
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Data da última atualização: |
31/01/2017 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
MALEGORI, C.; GRASSI, S.; MARQUES, E. J. N.; FREITAS, S. T. de; CASIRAGHI, E. |
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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. |
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Título: |
Vitamin C distribution in acerola fruit by near infrared hyperspectral imaging. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
Journal of Spectral Imaging, v. 5/6, p. 1-4, dec. 2016. |
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Idioma: |
Francês |
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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 |
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Palavras-Chave: |
Classical least square; Hiperespectral do infravermelho; Imagem hiperspectral no infravermelho próximo (NIR-HSI); Near infrared hyperspectral imaging; Quadrante mínimo clássico (CLS). |
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Thesagro: |
Acerola; Vitamina C. |
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Thesaurus Nal: |
Malpighia emarginata. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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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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Embrapa Semiárido (CPATSA) |
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| 50. |  | MOREIRA, R.; VIEIRA, D.; BIASOTO, A. C. T.; FREITAS, S. T. de; SILVA, F.; SASSI, K. Perfil sensorial do consumidor de uva-passa na região de João Pessoa - PB. In: CONGRESSO INTERNACIONAL DE GASTRONOMIA E CIÊNCIA DE ALIMENTOS, 2., 2016, Fortaleza. Gastronomia: da tradição à inovação - anais. Fortaleza: UFC, 2016. p. 481-482.| Tipo: Artigo em Anais de Congresso |
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| 56. | | VASCONCELOS, O.; TURCO, S. H. N.; DACANAL, C.; LUZ, S.; FREITAS, S. T. de. Thermal environment of table grape packing houses in the São Francisco Valley. Engenharia Agrícola, Jaboticabal, v. 37, n. 1, p. 35-45, jan./fev. 2017.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 1 |
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| 57. | | BISOGNIN, D. A.; PEREIRA, A. da S.; FREITAS, S. T. de. Potato tuber. In: FREITAS, S. T.; PAREEK, S. (Ed.). Postharvest physiological disorders in fruits and vegetables. Boca Raton: CRC Press, 2019. cap. 31, p. 691-704. (Innovations in Postharvest Technology Series).| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Semiárido. |
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| Registros recuperados : 183 | |
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