Image analysis for composition monitoring. Commercial blends of olive and soybean oil
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Redalyc
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| Natura: | Artículo científico |
| Lingua: | en |
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Universidade Estadual de Maringá
2013
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| _version_ | 1876484091234222080 |
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| author | Jéssica Kehrig Fernandes |
| author_facet | Jéssica Kehrig Fernandes |
| contents | Image analysis for composition monitoring. Commercial blends of olive and soybean oil Jéssica Kehrig Fernandes Tiemi Umebara Marcelo Kaminski Lenzi Ediely Teixeira da Silva Alves Ingeniería RGB sensor mixture Edible oils spectroscopy Olive oil represents an important component of a healthy and balanced dietary. Due to commercial features, characterization of pure olive oi l and commercial mixtures represents an important challenge. Reported techniques can successfully quanti fy components in concentrations lower than 1%, but may present long delays, too many purification steps or use expensive equipment. Image analysis represents an important characterization technique for food science and technology. By coupling image and UV-VIS spectroscopy analysis, models with linear depe ndence on parameters we re developed and could successfully describe the mixture co ncentration in the range of 0-100% in mass of olive oil content. A validation sample, containing 25% in mass of olive o il, not used for parameter estimation, was also used for testing the proposed procedure, leading to a predic tion of 24.8 ± 0.6. Due to image analysis results, 3-parameter-based models considering only R and G components were developed for olive oil content prediction in mixtures with up to 70% in mass of olive oil, the same test sample was used and its concentration was predicted as 24.5 ± 1.2. These results show that imag e analysis represents a promising technique for on-line/in-line monitoring of blending process of olive soybean oil for commercial mixtures. 2013 artículo científico 1806-2563 https://www.redalyc.org/articulo.oa?id=303229362016 en http://www.redalyc.org/revista.oa?id=3032 Acta Scientiarum. Technology application/pdf Universidade Estadual de Maringá Acta Scientiarum. Technology (Brasil) Num.2 Vol.35 |
| format | Artículo científico |
| id | redalyc_303229362016 |
| institution | Redalyc |
| language | en |
| publishDate | 2013 |
| publisher | Universidade Estadual de Maringá |
| spellingShingle | Image analysis for composition monitoring. Commercial blends of olive and soybean oil Jéssica Kehrig Fernandes Ingeniería RGB sensor mixture Edible oils spectroscopy Image analysis for composition monitoring. Commercial blends of olive and soybean oil Jéssica Kehrig Fernandes Tiemi Umebara Marcelo Kaminski Lenzi Ediely Teixeira da Silva Alves Ingeniería RGB sensor mixture Edible oils spectroscopy Olive oil represents an important component of a healthy and balanced dietary. Due to commercial features, characterization of pure olive oi l and commercial mixtures represents an important challenge. Reported techniques can successfully quanti fy components in concentrations lower than 1%, but may present long delays, too many purification steps or use expensive equipment. Image analysis represents an important characterization technique for food science and technology. By coupling image and UV-VIS spectroscopy analysis, models with linear depe ndence on parameters we re developed and could successfully describe the mixture co ncentration in the range of 0-100% in mass of olive oil content. A validation sample, containing 25% in mass of olive o il, not used for parameter estimation, was also used for testing the proposed procedure, leading to a predic tion of 24.8 ± 0.6. Due to image analysis results, 3-parameter-based models considering only R and G components were developed for olive oil content prediction in mixtures with up to 70% in mass of olive oil, the same test sample was used and its concentration was predicted as 24.5 ± 1.2. These results show that imag e analysis represents a promising technique for on-line/in-line monitoring of blending process of olive soybean oil for commercial mixtures. 2013 artículo científico 1806-2563 https://www.redalyc.org/articulo.oa?id=303229362016 en http://www.redalyc.org/revista.oa?id=3032 Acta Scientiarum. Technology application/pdf Universidade Estadual de Maringá Acta Scientiarum. Technology (Brasil) Num.2 Vol.35 |
| title | Image analysis for composition monitoring. Commercial blends of olive and soybean oil |
| topic | Ingeniería RGB sensor mixture Edible oils spectroscopy |
| url | https://www.redalyc.org/articulo.oa?id=303229362016 |