水稻赖氨酸含量测定方法改进及其最优动态分类研究

赖氨酸是水稻营养成分中第一限制性氨基酸。为优化赖氨酸的测定方法,设置了本试验,通过超声振荡器取代普通振荡器,进行300W超声功率下酰化用时及染料结合反应用时的研究。结果表明,最佳酰化用时为15 min,染料结合用时为90 min。与国标法相比,优化后的方法酰化用时变长、染料结合用时变短,测定总用时明显缩短,但测定结果和试验精度更高。可见,采用超声波振荡代替传统振荡器振荡能改进赖氨酸的测定方法。另外,采用最优动态聚类法对赖氨酸含量进行分类,能防止人为分类的不确定性,做到分类方案的最优化。

Improvement of Lysine Content Determination Method and its Optimal Dynamic Classification in Rice

Lysine is the first limiting amino acid in rice nutrition. In order to optimize the determination method of lysine content, this experiment was set up, the acylation time and dye binding reaction time under 300W ultrasonic power were studied by using ultrasonic oscillator instead of common oscillator. The results showed that, when the optimal acylation time was 15 min, and the dye combination time was 90 min has the best effect. Compared with the national standard method, the improved method has a longer acylation time and a shorter dye combination time, and the total determination time is significantly shortened, but the determination results and test accuracy are higher. Using ultrasonic oscillation instead of traditional oscillator oscillation could optimize the determination method of lysine content. In addition, the optimal dynamic clustering method could prevent the uncertainty of artificial classification and optimize the classification scheme.