重质松节油精馏过程中长叶烯含量预测模型

为建立重质松节油精馏过程中长叶烯含量快速检测模型,对重质松节油精馏过程中头馏分、中间馏分以及石竹烯等物质含量及旋光度进行监测。结果表明:旋光度与各组分含量的相关密切程度为头馏分含量>长叶烯含量>中间馏分含量>石竹烯含量。旋光度与长叶烯含量符合一元线性回归方程Y=0.4544x+0.1441(R2=0.9968)。长叶烯含量超过80%时,预测精度高。建立长叶烯含量预测模型,缩短精馏过程检测时间,对于提升重质松节油深加工附加值和分离高纯度长叶烯产品具有重要意义。

Prediction Model of Longifolene Content in the Distillation Process of Heavy Turpentine

In order to establish a rapid detection model of longifolene content in the rectification process of heavy turpentine,the content and optical rotation of the first fraction,middle fraction and caryophyllene in the rectification process of heavy turpentine were monitored.The results showed that the degree of close correlation between the optical rotation and the content of each component was first fraction content>longifolene content>middle fraction content>caryophyllene content.The optical rotation and longifolene content conformed to the linear regression equation of Y=0.4544x+0.1441(R2=0.9968).When the content of longifolene exceeded 80%,the prediction accuracy was high.Establishing a prediction model for longifolene content and shortening the detection time of the distillation process is of great significance for increasing the added value of deep processing of heavy turpentine and separating high-purity longifolene products.