A Simultaneous Quantification Method of Thalassemia Screening Multiple Indicators Using FTIR/ATR Spectroscopy

A simultaneous and rapid quantification method of the thalassemia screening indicators (MCV, MCH and HbA2) in the human blood was discussed by using Fourier transform infrared (FTIR) spectrometer and attenuated total reflection (ATR) techniques. Eight samples of the human blood were collected, MCV, MCH and HbA2 were measured by conventional chemical methods respectively, and it was as the reference chemical value of the calibration model for the spectrum. Each sample distilled water hemolysis, were diluted to 2 times, 3 times, 4 times, 5 times, 6 times hemolytic solution sample respectively, and the whole blood samples had been together a total of 6 groups of 48 samples for spectrometry. To each sample group and each screening indicator, based on the second derivatives of the spectra were calculated by using 11 points Savitzky-Goray smoothing, multiple linear regression (MLR) models were established by using the whole region (4000-600 cm^-1) and the fingerprint region (1600-900 cm^-1) respectively. The linear regression model corresponding to each wavenumber was also established, and the optimal single-point model was selected by the prediction effect. In the above calculation process, the predictive value of each sample was calculated by using the leave-one-out cross-validation. The results showed that the optimal single-point model corresponding to each sample group and each screening indicator had all good prediction effect. To the optimal single-point models for the whole blood sample group for the indicators of MCV, MCH and HbA2, which by direct determination, the adopting wavenumbers, root mean square error cross validations (RMSECV), relative root mean square error cross validations (RRMSECV), prediction correlation coefficients (R_P) were 1753 cm^-1, 2.52fl, 2.8%, 0.724; 951 cm^-1, 1.05 pg, 3.2% 0.864; 868 cm^-1, 0.1%, 3.1%, 0.941 respectively.