The fruit and vegetable sector need analytical methods that must be accurate, rapid and integrated within the production process to meet the requests of the market and to increase the consumer protection. The aim of this work is to assess the potential of Vis-NIR technology for the detection of traditional qualitative parameters (firmness, total soluble solids content, acidity) and nutraceutical indexes (chlorophyll content, flavonoids, polyphenols, carotenoids and ascorbic acid). A portable optical Vis-NIR device for single sample, non-destructive and quick prediction, in the wavelength range 450-980 nm was built and tested on three species of fruit of different cultivars (apple, blueberry and grape) typical of the Valtellina area (Lombardy Region, Italy). The results obtained for the different species can be summarized as follows: Apple (Golden Delicious cv., Stark Delicious cv.): the regression models show good prediction skills for both varieties for TSS, acidity, chlorophyll and carotenoids and limited for cv 'Stark delicious' for flavonoids and polyphenols. Results provide valuable information to farmers about the optimal harvest time. Blueberry (Brigitta cv., Duke cv.): regression models obtained, arising from spectra acquired, gave a good prediction of phenolic content and a correct identification of ripenening class. Good results were obtained for both homogenized samples and fresh berries. The values of correlation coefficients (r) were good (r> 0.8) for all the parameters analyzed. Grape (Nebbiolo cv.): models are adjusted to follow the first stages of technological maturity and the analysis of results has identified, in most cases, the peak of phenolic maturity. Models show correlation coefficient about 0.9 for technological indexes and >0.9 for anthocyanins. Testing suggests the use of Vis-NIR techniques as an alternative to traditional methods to assess the ripening stage and nutritional content in a quick way and with a sample preparation very simple.

Vis/NIR technology for the evaluation of nutraceutical parameters of fruit / L. Bodria, R. Guidetti, R. Beghi - In: Frutic Chile 2009 - Proceedings of the 8th Fruit, Nut, and Vegetable Production Engineering SymposiumChillàn : Progap - INIA's National Precision Agriculture Program, 2009 Jan. - pp. 250-260 (( Intervento presentato al 8. convegno Frutic Chile 2009, Information and Technology for Sustainable Fruit and Vegetable Production, “8th Fruit, Nut, and Vegetable Production Engineering Symposium” tenutosi a Concepción, Chile nel 2009.

Vis/NIR technology for the evaluation of nutraceutical parameters of fruit

L. Bodria
Primo
;
R. Guidetti
Secondo
;
R. Beghi
Ultimo
2009

Abstract

The fruit and vegetable sector need analytical methods that must be accurate, rapid and integrated within the production process to meet the requests of the market and to increase the consumer protection. The aim of this work is to assess the potential of Vis-NIR technology for the detection of traditional qualitative parameters (firmness, total soluble solids content, acidity) and nutraceutical indexes (chlorophyll content, flavonoids, polyphenols, carotenoids and ascorbic acid). A portable optical Vis-NIR device for single sample, non-destructive and quick prediction, in the wavelength range 450-980 nm was built and tested on three species of fruit of different cultivars (apple, blueberry and grape) typical of the Valtellina area (Lombardy Region, Italy). The results obtained for the different species can be summarized as follows: Apple (Golden Delicious cv., Stark Delicious cv.): the regression models show good prediction skills for both varieties for TSS, acidity, chlorophyll and carotenoids and limited for cv 'Stark delicious' for flavonoids and polyphenols. Results provide valuable information to farmers about the optimal harvest time. Blueberry (Brigitta cv., Duke cv.): regression models obtained, arising from spectra acquired, gave a good prediction of phenolic content and a correct identification of ripenening class. Good results were obtained for both homogenized samples and fresh berries. The values of correlation coefficients (r) were good (r> 0.8) for all the parameters analyzed. Grape (Nebbiolo cv.): models are adjusted to follow the first stages of technological maturity and the analysis of results has identified, in most cases, the peak of phenolic maturity. Models show correlation coefficient about 0.9 for technological indexes and >0.9 for anthocyanins. Testing suggests the use of Vis-NIR techniques as an alternative to traditional methods to assess the ripening stage and nutritional content in a quick way and with a sample preparation very simple.
Apples ; blueberry ; grape ; nutraceutical compounds ; Vis/NIR spectroscopy
Settore AGR/09 - Meccanica Agraria
gen-2009
Book Part (author)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/50857
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