【摘要】 用一种新的计算程序进行毛细管气相色谱线性程序升温的优化。在OV 10 1固定相上对 2 1种Kovats保留指数为 6 0 0～ 10 0 0的组分进行了自动寻优工作 ,并分别在起始温度为 2 5℃和 30℃的线性程序升温条件下取得了较好的结果。这种优化方法不但节省了计算时间 ,而且在对计算程序进行适当修改后 ,可以用于多阶程序升温的优化工作。更多还原

【Abstract】 Linear temperature programming of capillary gas chromatography was optimized by using a new method of gridding search A point of gridding demonstrated a condition of temperature programmed and the resolution and the retention time were optimized at all gridding points With a new design of calculation, the method not only considered directly all components that were separated, but the velocity of calculation was improved also Twenty one compounds of alkanes, alcohols, halo hydrocarbons and aromatic hydrocarbons, of which Kovats Indexes are varying from 600 to 1 000 , were separated by this new method on an OV 101 column under linear temperature programming. Good results were obtained The time for optimizing the 21 compounds was less than 1 min.更多还原