A quantitative analysis model for the determination of the oxide concentration in a doublecomponent containing model oil is established based on the infrared spectroscopy data for cyclohexanone and cyclohexanol components in model oil, the regression of prominent component, and the regression of back propagation neural algorithm and support vector machine. The infrared spectroscopy data were compressed by principal component analysis and used as input information to develop models. The three quantitative models can predict the respective oxide contents, with the predictive ability of support vector machine model superior to the other two models, showing a good stability of support vector machine model. Comparing with traditional methods, the established model provides a simple, fast, nodamage, costeffective and green determination method.

Taurine is of good medical-care function in physiology. There are many methods to extract taurine, but a new method was worked out by comparing and analyzing experimental results, that is, extracting taurine from meretrix meretrix by isoelectric point method. This new method offer advantages such as simple in operation, easy in controlling, no pollution, higher yield and lower cost. It opens a new way for the extraction of taurine. The taurine's medical application in anti-cancer, blood pressure lowering, hypoglycemic effect, anti-senility and health-care activity were also discussed.