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Construction of Models for Nondestructive Prediction of Ingredient Contents in Blueberries by Near-infrared Spectroscopy Based on HPLC Measurements
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JoVE Journal Chemistry
Construction of Models for Nondestructive Prediction of Ingredient Contents in Blueberries by Near-infrared Spectroscopy Based on HPLC Measurements

Construction of Models for Nondestructive Prediction of Ingredient Contents in Blueberries by Near-infrared Spectroscopy Based on HPLC Measurements

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10,292 Views

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10:25 min

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June 28, 2016

DOI:

10.3791/53981-v

DOI:
10.3791/53981-v

•

10:25 min
June 28, 2016

•

6 Views
, , , , ,
1United Graduate School of Agricultural Science,Tokyo University of Agriculture and Technology, 2Faculty of Agriculture,Tokyo University of Agriculture and Technology, 3Institute of Agriculture,Tokyo University of Agriculture and Technology

Summary

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We present here a protocol to construct and validate models for nondestructive prediction of total sugar, total organic acid, and total anthocyanin content in individual blueberries by near-infrared spectroscopy.

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Near-infrared SpectroscopyNondestructive PredictionIngredient ContentsBlueberriesHPLC MeasurementsTotal SugarTotal Organic AcidTotal Anti-cyanineCalibration ModelValidationDiffuse ReflectanceSample PretreatmentHomogenizationEnzyme Deactivation

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Cite this Article

Bai, W., Yoshimura, N., Takayanagi, M., Che, J., Horiuchi, N., Ogiwara, I. Construction of Models for Nondestructive Prediction of Ingredient Contents in Blueberries by Near-infrared Spectroscopy Based on HPLC Measurements. J. Vis. Exp. (112), e53981, doi:10.3791/53981 (2016).

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