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Please use this identifier to cite or link to this item: http://repository.li.mahidol.ac.th/dspace/handle/123456789/41956
Title: Determination of GABA content in Thai brown rice by an optimized enzyme-based method
Authors: Suwapat Kittibunchakul
Parunya Thiyajai
Uthaiwan Suttisansanee
Chalat Santivarangkna
Mahidol University
Keywords: Biochemistry, Genetics and Molecular Biology;Chemistry
Issue Date: 1-Jan-2017
Citation: Chiang Mai Journal of Science. Vol.44, No.1 (2017), 132-143
Abstract: © 2017, Chiang Mai University. All rights reserved. GABA content in brown rice from 32 Thai rice varieties was determined using a rapid enzyme-based method. The enzyme GABase and NADP+, which were expensive reagents used in the assay, were optimized. GABA was firstly extracted from brown rice with the optimal extraction technique using 0.3% (w/v) sulfosalicylic acid and sonication. The GABA content was then indirectly determined by the absorbance measurement of NADPH derived from enzymatic reaction of GABase. Under the optimized assay system, the enzyme-based method could accurately and economically quantified GABA when GABA concentration was in the range of 0-1.0 mM. With the GABA recovery of 92.71% evaluated by the spike recovery test, GABA in rice was precisely quantified by the optimized method. Among rice varieties that were examined, Chaw Lamud contained the lowest GABA content (7.60 mg/100 g), while RD41 contained the highest GABA content (29.46 mg/100 g). Concentration of GABA in brown rice was positively correlated with size and shape of rice grains. In conclusion, the enzyme-based method optimized in this study could be applied well for the determination of GABA from rice, and may also replace the commonly-used HPLC analysis of GABA in other raw-materials. The information on GABA content in rice obtained from this study will be useful for the production of healthy rice products.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85010737687&origin=inward
http://repository.li.mahidol.ac.th/dspace/handle/123456789/41956
ISSN: 01252526
Appears in Collections:Scopus 2016-2017

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