ABSTRACT
For non-invasive blood glucose detection through near-infrared spectroscopy, it is very important to ensure the data quantity and reliability of calibration model. In this paper, the method of sampling blood by tubing pump in OGTT (Oral Glucose Tolerance Test) is used to get reliable and adequate reference data of blood glucose concentration for calibration model, and the non-invasive blood detection system based on the AOTF (Acousto-Optic Tunable Filter) ranging from 1100 nm to 1700 nm is designed. 3 experiments were performed by the above system and method. The results showed that based on the PLS (Partial Least Square) calibration models constructed by analyzing all individual experimental data, the correlation coefficients were 0.986, 0.971 and 0.985, respectively, and the RMSEP (Root Mean Square Error of Prediction) estimated by Full Cross Validation were 0.550 mmol/l, 0.456 mmol/l and 0.520 mmol/l; respectively. The results also showed that the prediction error of the model decreased when the number of effective model data increased.