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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

Article DOI: 10.3791/53981-v • 10:25 min • June 28th, 2016
June 28th, 2016 •
1, 1, 1, 2, 2, 3
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

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Summary
Automatic Translation

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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Keywords: Near-infrared Spectroscopy Nondestructive Prediction Ingredient Contents Blueberries HPLC Measurements Total Sugar Total Organic Acid Total Anti-cyanine Calibration Model Validation Diffuse Reflectance Sample Pretreatment Homogenization Enzyme Deactivation
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