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In this paper, the FT-Raman spectroscopy and artificial neural network were used to quantify the glucose concentration in the whole blood. The quantitative analysis was performed through the artificial neural network (ANN) associated to training set selection strategy method. All analysis was carried out by whole spectrum. The ANN model with the highest r 2 , the lowest values of root mean square error (RMSE) for both training and validation data was used in our work. The results indicated that the FT-Raman spectroscopy and ANN is a rapid, simple, and efficient method to quantitative analysis of glucose in the whole blood.

Quantitative analysis of glucose in whole blood using FT-Raman spectroscopy and artificial neural network