Reagentless Near-Infrared Determination Of Cholesterol And Triglyceride In Human Blood

Near Infrared Spectroscopy analytical technique is reagentless, rapid, green, and can be run at low cost. It has become an important method in clinical analyses field. The success of using near infrared spectroscopy to detect content of cholesterol and triglyceride with quantitative analysis will have a profound affection on the clinical biomedical analyses. In this paper, determination of cholesterol and triglyceride in serum and whole blood have been studied with near infrared transmission spectroscopy and chemometric methods. First, we analyze the prediction effect of the cholesterol and triglyceride model in full-spectrum region by partial least squares(PLS) method directly. Second, we use interval partial least squares (iPLS) to select characteristic wavelength, in order to establish simple, robust and strong prediction models of cholesterol and triglyceride for all groups of people. Again, we study the prediction effect of the cholesterol and triglyceride model in different population by population classification for establishing a simple, single population prediction model, especially the patient-specific model. Finally, we explore feadibility of determination of cholesterol and triglyceride in whole blood by near infrared transmission spectroscopy reagentlessly. It will accumulate useful data for minimally invasive blood lipid detection by near infrared.The main results of this study include:(1) There are lower precision and stability of prediction for cholesterol and triglyceride in serum by direct PLS. The prediction correlation coefficient (RP), the root mean square error of prediction(RMSEP) for cholesterol are 0.899,0.565 mmol/L respectively. RP, RMSEP for triglyceride are 0.847,0.454 mmol/L respectively.(2) Results of optimized model for cholesterol and triglyceride of all serum samples show that interval partial least squares.can improve prediction accuracy. For cholesterol, the prediction effect of the model on 1700-1798nm is the best, and RP, RMSEP are 0.984,0.198 mmol/L respectively. For triglyceride,the prediction effect of the model on 1654-1746nm is the best, and RP, RMSEP are 0.967,0.157 mmol/L respectively.(3) Results of optimized model by population classification show that model of independent groups has higher prediction accuracy than model of all groups, especially in patients independent model prediction accuracy for patients has improved greatly. RP was improved from 0.78 to 0.97, RMSEP was reduced from 0.22 mmol/L to 0.14 mmol/L for the prediction of patients with high cholesterol, RP was improved from 0.95 to 0.96, RMSEP was reduced from 0.18 mmol/L to 0.15 mmol/L for the prediction of patients with high triglyceride.(4) It is possible to determine of cholesterol, triglyceride in whole blood by near infrared spectroscopy reagentlessly. The prediction effect of the model for cholesterol on 1650-1730nm is the best, and RP, RMSEP are 0.792,0.502 mmol/L respectively. The prediction effect of the model for triglyceride on 2260-2340nm is the best, and RP, RMSEP are 0.865,0.284 mmol/L respectively.