Evaluation of Brazilian Monovarietal Extra Virgin Olive Oils Using Digital Images and Independent Component Analysis

被引：1

作者：

Goncalves, Thays R. ^{[1
]}

Rosa, Larissa N. ^{[1
]}

Marco, Paulo H. ^{[2
]}

da Silva, Luiz F. O. ^{[3
]}

Gomes, Sandra T. M. ^{[1
]}

Matsushita, Makoto ^{[1
]}

Valderrama, Patricia ^{[2
]}

机构：

[1] Univ Estadual Maringa UEM, BR-87020900 Maringa, Parana, Brazil

[2] Univ Tecnol Fed Parana UTFPR, POB 271, BR-87301899 Campo Mourao, PR, Brazil

[3] Empresa Pesquisa Agr Minas Gerais Epamig, BR-37517000 Maria Da Fe, MG, Brazil

来源：

JOURNAL OF THE BRAZILIAN CHEMICAL SOCIETY | 2020年 / 31卷 / 09期

关键词：

digital images; monovarietal; visible spectra; chemometrics; FLAT-BED SCANNERS; CLASSIFICATION; SPECTROSCOPY; STABILITY; COMPOUND; SPECTRA; PROFILE; REGION; COLOR; NMR;

D O I：

10.21577/0103-5053.20200083

中图分类号：

O6 [化学];

学科分类号：

0703 ;

摘要：

Digital images associated with chemometric tools, in a non-destructive approach, have been applied for the evaluation of the Brazilian monovarietal extra virgin olive oil. Independent component analysis (ICA) was employed in the image data evaluation of olive oils produced from distinctive olive varieties, and it was successful in highlighting the natural grouping among the samples based on the color histograms (red, green and blue (RGB) channels). The study's proposal indicates the ability of accurate separation of the twenty-four samples considering their color. To conclude and support the hypothesis, principal component analysis (PCA) was applied in the visible spectra of the Brazilian monovarietal extra virgin olive oil, to observe the similarities between the samples, and the results are in agreement with those obtained by image analysis coupled with IC:A. This method demonstrates the possibility for the characterization of olive oils respecting the principles of Green Chemistry.

引用

页码：1955 / 1963

页数：9

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