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本文提出了智能最佳化气相色谱柱温的理论基础,解决了最佳温度求解区间及控温方式的预测、最难分离物质对及交叉点的预测、围绕最难分离物质对及交叉点的最佳化分离温度的预测三个问题,为智能最佳化柱温程序设计奠定了基础.
In this paper, the theoretical basis of intelligent optimal gas chromatography column temperature is proposed, which solves the prediction of optimal temperature solution interval and temperature control method, the prediction of the most difficult to separate substances and the intersection points, Optimizing the prediction of the separation temperature three issues, laid the foundation for intelligent optimization of the column temperature program design.