HUSCAP logo Hokkaido Univ. logo

Hokkaido University Collection of Scholarly and Academic Papers >
Graduate School of Agriculture / Faculty of Agriculture >
Peer-reviewed Journal Articles, etc >

Determination of Apparent Amylose Content in Japanese Milled Rice Using Near-Infrared Transmittance Spectroscopy

Files in This Item:
5_337.pdf528.72 kBPDFView/Open
Please use this identifier to cite or link to this item:http://hdl.handle.net/2115/68428

Title: Determination of Apparent Amylose Content in Japanese Milled Rice Using Near-Infrared Transmittance Spectroscopy
Authors: SHIMIZU, Naoto Browse this author →KAKEN DB
KATSURA, Jyunji Browse this author
YANAGISAWA, Takashi Browse this author
INOUE, Shigeru Browse this author
WITHEY, Robin P. Browse this author
COWE, Ian A. Browse this author
EDDISON, Colin G. Browse this author
BLAKENEY, Anthony B. Browse this author
KIMURA, Toshinori Browse this author →KAKEN DB
YOSHIZAKI, Shigeru Browse this author
OKADOME, Hiroshi Browse this author
TOYOSHIMA, Hidechika Browse this author
OHTSUBO, Ken'ichi Browse this author
Keywords: japonica
amylose
near infrared transmittance
filter type NIT
Issue Date: 1999
Publisher: 日本食品科学工学会
Journal Title: Food Science and Technology Research
Volume: 5
Issue: 4
Start Page: 337
End Page: 342
Publisher DOI: 10.3136/fstr.5.337
Abstract: The objective of the present study was to develop a method to analyze apparent amylose content (AAC) of Japanese milled rices using near-infrared transmittance spectroscopy (NIT). Samples (n=110, varieties=37), harvested in 1996, were collected at various sites throughout Japan. Whole-grain milled rice was scanned using a near-infrared range (833-1050 nm with 8 nm steps and 27 wavelengths) transmittance filter type spectrometer. The AACs of samples were in the range of 13.1% to 20.7% (SD: 1.53). The wide range AAC (0-35.3%) partial least squares (PLS) model was found to be inadequate for accurate prediction of the narrow AAC range (13.2-20.7%) of the rice samples. The statistical performance of PLS modeling (11 factors) for narrow range AAC analyses gave a standard error of cross-validation (SECv) of 0.78 and square of regression coefficient (R2) of 0.74. The AAC model was applied to 20 unknown samples of products from different crop year (1997), and gave a standard error of prediction (SEP) of 1.25, R2 of 0.49 on the validation set. These results suggested that this model based on NIT spectroscopy could be applied for rapid and nondestructive measurement of narrow range AAC of Japanese milled rices.
Type: article
URI: http://hdl.handle.net/2115/68428
Appears in Collections:農学院・農学研究院 (Graduate School of Agriculture / Faculty of Agriculture) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 清水 直人

Export metadata:

OAI-PMH ( junii2 , jpcoar_1.0 )

MathJax is now OFF:


 

 - Hokkaido University