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

Wenming Bai; Norio Yoshimura; Masao Takayanagi; Jingai Che; Naomi Horiuchi; Isao Ogiwara

doi:10.3791/53981

/

Costruzione di modelli per la previsione non distruttivo di principio Contenuti di mirtilli mediante spettroscopia nel vicino infrarosso Sulla base di HPLC Misure

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

JoVE Journal
Chimica

È necessario avere un abbonamento a JoVE per visualizzare questo. Accedi o inizia la tua prova gratuita.

JoVE Journal Chimica

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

Costruzione di modelli per la previsione non distruttivo di principio Contenuti di mirtilli mediante spettroscopia nel vicino infrarosso Sulla base di HPLC Misure

Please note that all translations are automatically generated. Click here for the English version.

10,621 Views

•

10:25 min

•

June 28, 2016

DOI:

10.3791/53981-v

DOI:

10.3791/53981-v

•

10:25 min

June 28, 2016

•

10576 Views

Wenming Bai¹, Norio Yoshimura¹, Masao Takayanagi¹, Jingai Che², Naomi Horiuchi², Isao Ogiwara³

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

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.