本試驗主要選用在台灣生產的稉稻、秈稻及糯稻為材料,以Bran + Luebbe公司製造之Infra Alyzer 500連續波長型的近紅外光分析儀(Near infrared reflectance spectrophotometer,NIRS)進行掃描,期建立白米粉末尖峰黏度、熱糊黏度、冷糊黏度、破裂黏度、膠質黏度及回升黏度等6個黏度特性之檢量線,作為水稻育種上進行選拔及稻米加工業者控制產品品質參考之用。結果發現利用複線性迴歸分析(Multiple linear regression,MLR)所建立的尖峰黏度檢量線,其相關係數為0.947、RPD ratio值為3.185,熱糊黏度檢量線之相關係數為0.809、RPD ratio值為1.548,冷糊黏度檢量線之相關係數為0.874、RPD ratio值為2.018,破裂黏度檢量線之相關係數為0.955、RPD ratio值為3.096,膠質黏度檢量線之相關係數為0.951、RPD ratio值為3.185,回升黏度檢量線之相關係數為0.811、RPD ratio值為1.426。上述所製作的檢量線中,有尖峰黏度、破裂黏度及膠質黏度的RPD ratio值大於3,可供育種上作初步篩選之用,但仍未達到可作為品質控制的程度。
By employing different rice varieties, including japonica, indica and waxy rice grown in Taiwan, a method was developed to determine peak viscosity, hot paste viscosity, cool paste viscosity, breakdown viscosity, consistency viscosity and setback viscosity of ground milled rice by the near infrared reflectance spectrophotometer (NIRS, Bran + Luebbe Infra Alyzer 500). The results of multiple correlation coefficient and RPD values determined by multiple linear regression (MLR) modeling are shown in accordance: r=0.947 and RPD ratio was 3.185 for peak viscosity, r=0.809 and RPD ratio=1.548 for hot paste viscosity; r=0.874 and RPD ratio=2.018 for cool paste viscosity; r=0.955 and RPD ratio=3.096 for breakdown viscosity; r=0.951 and RPD ratio=3.185 for consistency viscosity; r=0.811 and RPD ratio=1.426 for setback viscosity. Models for hot paste viscosity, cool paste viscosity and setback viscosity predicted by MTRS were not sufficiently accurate(r<0.88, RPD ratio<2.5) to warrant replacement of the RVA procedure. However, the optimal calibration curve for peak viscosity, breakdown viscosity and consistency viscosity shows a higher multiple correlation coefficient(r>0.95) and RPD ratio (>3). Such accuracy is not sufficient for rice quality control during processing, but sufficient for initial screening of high quality rice varieties breeding program.