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Evaluation of the gamma-aminobutyric acid (GABA) content of soybean and mungbean by near infrared spectroscopy |
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| รหัสดีโอไอ | |
| Creator | Anuwat Rattanachai;Charuwan Bangwaek |
| Title | Evaluation of the gamma-aminobutyric acid (GABA) content of soybean and mungbean by near infrared spectroscopy |
| Publisher | Department of Agriculture |
| Publication Year | 2559 |
| Journal Title | THAI AGRICULTURAL RESEARCH JOURNAL |
| Journal Vol. | 34 |
| Journal No. | 1 |
| Page no. | 45-53 |
| Keyword | soybean, mungbean, GABA, Near Infrared Spectroscopy (NIRS) |
| ISSN | 1258389 |
| Abstract | Soybean and mungbean consists of Gamma aminobutyric acid (GABA). GABA isan inhibitory neurotransmitter. This research aimed to use Near Infrared Spectroscopy(NIRS) technique which is non-destructive technique to predict for GABA in soybean andmungbean grains. In 2013-2015, the soybean 310 samples (from Chang Mai Filed CropResearch Center, Lopburi Agricultural Research and Development Center, and markets),and 260 samples of mungbean (from Chai Nat Filed Crop Research Center, and markets)were collected and scanned the reflectance mode in the region 800-2500 nm. Theexperiment was conducted at Postharvest and Processing Research and DevelopmentDivision, Department of Agriculture. The samples were analyzed for GABA by HPLC. TheLeast Squares Partial (PLS) linear regression models were calculated using theUnscrambler. The results showed the calibration for predicting GABA contents in soybeangrains, the high correlations (R) = 0.90, Squared Correlation Coefficients (R2) = 0.82,Standard Error of Prediction (SEP) = 2.80 mg/100g, Standard Deviation (SD) = 6.50 mg/100g. The calibration for predicting GABA contents in mungbean grains, the highcorrelations (R) = 0.90, Squared Correlation Coefficients (R2) = 0.81, Standard Error ofPrediction (SEP) = 2.02 mg/100g, Standard Deviation (SD) = 4.83 mg/100g. Therefore, the NIRS technique can predict GABA contents in soybean grains (0-30.83 mg/100g) and, mungbean grains (1.66-23.26mg/100g). |
