Comparative Study of Preprocessing on an ATR‐FTIR Calibration Model for In Situ Monitoring of Solution Concentration in Cooling Crystallization

The effect of data preprocessing on a calibration model based on attenuated total reflectance‐Fourier transform infrared spectroscopy was investigated for in situ measurements of the solution concentration during cooling crystallization. L‐Glutamic acid cooling crystallization was taken as a case study. It was found that smoothing and derivative is a superior preprocessing method for model calibration, which can effectively remove spectral nonlinearity, improve the prediction accuracy of the calibration model, and enhance model robustness in detecting faults. Verification experiments demonstrated the effectiveness of the established calibration models. These models also show better performance in detecting the generation of crystal nuclei in the probe window, which is of great significance to eliminate the fatal probe fouling. The effect of data preprocessing on an attenuated total reflectance‐Fourier transform infrared calibration model for in situ solution concentration measurement was investigated in cooling crystallization. The smoothing and derivative was found to be a superior preprocessing method for model calibration, which can effectively remove spectral nonlinearity, improve the model prediction accuracy, and enhance model robustness in fault detection.