CAJ | 학술논문

选取105份具有代表性的活性米样品,研究光谱范围在918 ~1 045 nm内12 个波长点的近红外反射光谱与其品质的相关性. 利用近红外光谱技术和多元线性回归、主成分回归和偏最小二乘法3种校正方法对活性米中γ-氨基丁酸、水分、蛋白质、淀粉、明度值、红度值及黄度值进行定量分析;选出最优校正模型,模型的预测决定系数分别为0.903、0.964、0.953、0.951、0.949、0.961、0.916,预测标准偏差分别为0.598、1.367、1.367、2.688、0.996、50.144、0.952. 研究结果表明:应用近红外光谱技术检测活性米品质是可行性的.
선취105빈구유대표성적활성미양품,연구광보범위재918 ~1 045 nm내12 개파장점적근홍외반사광보여기품질적상관성. 이용근홍외광보기술화다원선성회귀、주성분회귀화편최소이승법3충교정방법대활성미중γ-안기정산、수분、단백질、정분、명도치、홍도치급황도치진행정량분석;선출최우교정모형,모형적예측결정계수분별위0.903、0.964、0.953、0.951、0.949、0.961、0.916,예측표준편차분별위0.598、1.367、1.367、2.688、0.996、50.144、0.952. 연구결과표명:응용근홍외광보기술검측활성미품질시가행성적.
Selection of 105 representative active meters sample , the spectral 12 points within the range of 918~1045 nm band correlation of near infrared spectral reflectance and its quality .Based on the near infrared spectrum data from the desktop grain analyzer for multiple linear regression , Principal component regression and partial least squares calibration model results are compared to establish activity γ-aminobutyric acid, water ,protein, starch ,lightness value degree ,red value degree ,yellow value degree value best correction model of near infrared spectrum , forecasts determine coefficient were 0.903,0.964,0.953,0.951,0.949,0.961,0.916,the predicted standard deviation were 0.598,1.367, 1.367, 2.688, 0.996, 50.144, 0.952.Test results show that application of near infrared spectroscopy detection activity of rice quality is feasible .