ИСТИНА

The study focuses on the processing of experimental data acquired from OFET sensors during test cycles involving various concentrations of toxic gases. The arPLS algorithm provides iterative baseline correction, enabling improved reproducibility and enhanced feature extraction from sensor signals. Special attention is given to investigating the influence of the smoothing parameter λ on the outcome of the correction and on its robustness with respect to different sensor datasets. The discussion highlights specific aspects of arPLS application for different classes of OFET devices, as well as its current limitations and future prospects for automated sensor data analysis. ЭЗ Протокол №11 от 24.06.2025