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Determination of phenolic substances of seeds, skins and stems from white grape marc by near-infrared hyperspectral imaging
- Source :
- Australian Journal of Grape and Wine Research. 22:11-15
- Publication Year :
- 2015
- Publisher :
- Hindawi Limited, 2015.
-
Abstract
- Background and Aims Winemaking generates a large quantity of grape marc that causes environmental and economic problems, which could be minimised by exploiting and adding value to these by-products. Marc is composed of seeds, skins and stems that are an important source of phenolic substances, which have antioxidant properties and potential benefits to human health. It is necessary to develop novel methods for assessing the composition of marc because conventional analyses are destructive and require lengthy preparation procedures and chemical reagents. Methods and Results Near-infrared hyperspectral imaging has been used for evaluating 27 individual phenolic substances in the components of grape marc after freeze-drying, the only sample preparation step. By applying partial least squares regression to the spectral data, values of R2 up to 0.98 were obtained even for estimating some minor compounds. Conclusions This methodology arises as an attractive alternative to analyse the phenolic composition of grape marc because of its speed and simplicity. Significance of the Study The use of this technique will allow wine producers to quickly determine the phenolic composition and decide the destination of this by-product.
- Subjects :
- Wine
010401 analytical chemistry
Hyperspectral imaging
04 agricultural and veterinary sciences
Horticulture
Pulp and paper industry
040401 food science
01 natural sciences
0104 chemical sciences
0404 agricultural biotechnology
Partial least squares regression
Botany
Sample preparation
Spectral data
Preparation procedures
Near infrared hyperspectral imaging
Mathematics
Winemaking
Subjects
Details
- ISSN :
- 13227130
- Volume :
- 22
- Database :
- OpenAIRE
- Journal :
- Australian Journal of Grape and Wine Research
- Accession number :
- edsair.doi...........5988070e26342acd8485a1ede52efbaa
- Full Text :
- https://doi.org/10.1111/ajgw.12165