Journal of Spectral Imaging,   Volume 5   Article ID a6   (2016)

Peer reviewed Paper

Vitamin C distribution in acerola fruit by near infrared hyperspectral imaging

  • Cristina Malegori
  • Silvia Grassi
  • Emanuel José Nascimento Marques
  • Sergio Tonetto de Freitas
  • Ernestina Casiraghi
DeFENS Department of Food, Environmental and Nutritional Sciences, Università degli Studi di Milano, Milano, Italy

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Department of Fundamental Chemistry, Federal University of Pernambuco, Recife (PE), Brazil

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Brazilian Agricultural Research Corporation, Embrapa Tropical Semiarido, Petrolina (PE), Brazil

 https://orcid.org/0000-0001-9579-7304
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DeFENS Department of Food, Environmental and Nutritional Sciences, Università degli Studi di Milano, Milano, Italy

 https://orcid.org/0000-0002-5046-6074
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 Corresponding Author
DeFENS Department of Food, Environmental and Nutritional Sciences, Università degli Studi di Milano, Milano, Italy
[email protected]
 https://orcid.org/0000-0002-1760-8915
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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 comprehensive 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.

Keywords: acerola, vitamin C, near infrared hyperspectral imaging (NIR-HSI), classical least square (CLS)

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