Advance technique to predict eating quality of ripe-mango at unripe-stage using near infrared spectroscopy

A technique to predict eating quality, Brix value, of ripe mango from its harvest quality, measured nondestructively by near infrared (NIR) spectroscopy, was successfully developed. The NIR spectra in the short wavelength region (700 to 1100 nm) of unripe mangoes were measured immediately after harv...

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Main Authors: S. Saranwong, S. Kawano, J. Sornsrivichai
Format: Book Series
Published: 2018
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http://cmuir.cmu.ac.th/jspui/handle/6653943832/62048
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-620482018-09-11T09:21:18Z Advance technique to predict eating quality of ripe-mango at unripe-stage using near infrared spectroscopy S. Saranwong S. Kawano J. Sornsrivichai Agricultural and Biological Sciences A technique to predict eating quality, Brix value, of ripe mango from its harvest quality, measured nondestructively by near infrared (NIR) spectroscopy, was successfully developed. The NIR spectra in the short wavelength region (700 to 1100 nm) of unripe mangoes were measured immediately after harvest. Calibration equations for harvest indices, dry matter (DM) and starch content, were developed (SEP: 0.41% w/w for DM, 1.71% w/w for starch). From the NIR spectra measured and the calibration equation developed, the relationship between harvest quality and Brix value at the ripe stage of the same mangoes was revealed. Ripe mangoes would have high Brix value if the fruit contained sufficient amounts of DM and starch at harvest date. Brix value of ripe mangoes could be precisely predicted from the DM and starch measured nondestructively with NIR at harvest. The standard error of prediction (SEP) for the Brix calibration equation was 0.55 °Brix. 2018-09-11T09:21:18Z 2018-09-11T09:21:18Z 2005-01-01 Book Series 05677572 2-s2.0-84863652237 10.17660/ActaHortic.2005.682.191 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84863652237&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/62048
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Agricultural and Biological Sciences
spellingShingle Agricultural and Biological Sciences
S. Saranwong
S. Kawano
J. Sornsrivichai
Advance technique to predict eating quality of ripe-mango at unripe-stage using near infrared spectroscopy
description A technique to predict eating quality, Brix value, of ripe mango from its harvest quality, measured nondestructively by near infrared (NIR) spectroscopy, was successfully developed. The NIR spectra in the short wavelength region (700 to 1100 nm) of unripe mangoes were measured immediately after harvest. Calibration equations for harvest indices, dry matter (DM) and starch content, were developed (SEP: 0.41% w/w for DM, 1.71% w/w for starch). From the NIR spectra measured and the calibration equation developed, the relationship between harvest quality and Brix value at the ripe stage of the same mangoes was revealed. Ripe mangoes would have high Brix value if the fruit contained sufficient amounts of DM and starch at harvest date. Brix value of ripe mangoes could be precisely predicted from the DM and starch measured nondestructively with NIR at harvest. The standard error of prediction (SEP) for the Brix calibration equation was 0.55 °Brix.
format Book Series
author S. Saranwong
S. Kawano
J. Sornsrivichai
author_facet S. Saranwong
S. Kawano
J. Sornsrivichai
author_sort S. Saranwong
title Advance technique to predict eating quality of ripe-mango at unripe-stage using near infrared spectroscopy
title_short Advance technique to predict eating quality of ripe-mango at unripe-stage using near infrared spectroscopy
title_full Advance technique to predict eating quality of ripe-mango at unripe-stage using near infrared spectroscopy
title_fullStr Advance technique to predict eating quality of ripe-mango at unripe-stage using near infrared spectroscopy
title_full_unstemmed Advance technique to predict eating quality of ripe-mango at unripe-stage using near infrared spectroscopy
title_sort advance technique to predict eating quality of ripe-mango at unripe-stage using near infrared spectroscopy
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84863652237&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/62048
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