Non‐destructive measurement of vitamin C, total polyphenol and sugar content in apples using near‐infrared spectroscopy. (2nd July 2012)
- Record Type:
- Journal Article
- Title:
- Non‐destructive measurement of vitamin C, total polyphenol and sugar content in apples using near‐infrared spectroscopy. (2nd July 2012)
- Main Title:
- Non‐destructive measurement of vitamin C, total polyphenol and sugar content in apples using near‐infrared spectroscopy
- Authors:
- Pissard, Audrey
Fernández Pierna, Juan A
Baeten, Vincent
Sinnaeve, Georges
Lognay, Georges
Mouteau, Anne
Dupont, Pascal
Rondia, Alain
Lateur, Marc - Abstract:
- <abstract abstract-type="main" xml:lang="en"> <title>Abstract</title> <p> <bold>BACKGROUND: The vitamin C and polyphenol content of apples constitute quality and nutritional parameters of great interest for consumers, especially in terms of health. They are commonly measured using laborious reference methods. The purpose of this study was to evaluate the potential of near‐infrared (NIR) spectroscopy as a rapid and non‐destructive method to determine the sugar, vitamin C and total polyphenol content in apples.</bold> </p> <p> <bold>RESULTS: The quality parameters of more than 150 apple genotypes were analyzed using NIR and reference methods. The results obtained using the least squares support vector machine regression method showed good to very good prediction performance. Low standard error of prediction values, in addition to relatively high ratio to prediction (RPD) values, demonstrated the precision of the models, especially for polyphenol and sugar content. High RPD values (5.1 and 4.3 for polyphenol and sugar, respectively) indicated that an accurate classification of apples based on their content could be achieved.</bold> </p> <p> <bold>CONCLUSION: NIR spectroscopy coupled with the multivariate calibration technique could be used to accurately measure the quality parameters of apples. In addition, in the case of breeding programs, NIR spectroscopy can be considered an interesting tool for sorting varieties according to a range of concentrations. Copyright © 2012<abstract abstract-type="main" xml:lang="en"> <title>Abstract</title> <p> <bold>BACKGROUND: The vitamin C and polyphenol content of apples constitute quality and nutritional parameters of great interest for consumers, especially in terms of health. They are commonly measured using laborious reference methods. The purpose of this study was to evaluate the potential of near‐infrared (NIR) spectroscopy as a rapid and non‐destructive method to determine the sugar, vitamin C and total polyphenol content in apples.</bold> </p> <p> <bold>RESULTS: The quality parameters of more than 150 apple genotypes were analyzed using NIR and reference methods. The results obtained using the least squares support vector machine regression method showed good to very good prediction performance. Low standard error of prediction values, in addition to relatively high ratio to prediction (RPD) values, demonstrated the precision of the models, especially for polyphenol and sugar content. High RPD values (5.1 and 4.3 for polyphenol and sugar, respectively) indicated that an accurate classification of apples based on their content could be achieved.</bold> </p> <p> <bold>CONCLUSION: NIR spectroscopy coupled with the multivariate calibration technique could be used to accurately measure the quality parameters of apples. In addition, in the case of breeding programs, NIR spectroscopy can be considered an interesting tool for sorting varieties according to a range of concentrations. Copyright © 2012 Society of Chemical Industry</bold> </p> </abstract> … (more)
- Is Part Of:
- Journal of the science of food and agriculture. Volume 93:Number 2(2013:Jan. 30)
- Journal:
- Journal of the science of food and agriculture
- Issue:
- Volume 93:Number 2(2013:Jan. 30)
- Issue Display:
- Volume 93, Issue 2 (2013)
- Year:
- 2013
- Volume:
- 93
- Issue:
- 2
- Issue Sort Value:
- 2013-0093-0002-0000
- Page Start:
- 238
- Page End:
- 244
- Publication Date:
- 2012-07-02
- Subjects:
- Food -- Periodicals
Agriculture -- Periodicals
664 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1097-0010 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/jsfa.5779 ↗
- Languages:
- English
- ISSNs:
- 0022-5142
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5055.000000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 3499.xml