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

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Construção de Modelos de Previsão Nondestructive de Conteúdos ingrediente em mirtilos por espectroscopia no infravermelho próximo com base em medições de HPLC

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

JoVE Journal
Química

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JoVE Journal Química

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

Construção de Modelos de Previsão Nondestructive de Conteúdos ingrediente em mirtilos por espectroscopia no infravermelho próximo com base em medições de HPLC

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10,532 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

•

15 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

Transcrição

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.