A new approach to removing interference of moisture from FTIR spectrum

An approach is developed to remove the interference of moisture from FTIR spectra. The arises two aspects: fluctuation on temperature HeNe laser and transient concentration in light - path an spectrometer. produces a systematic spectral shift between single-beam sample background spectra, which often makes subtraction method invalid removing moisture. Herein, Carbo similarity metric (the CAB value) used reflect subtle shift. A database spectra established based concept big-data pigeon-hole theory. corrected by selecting suitable match with given spectrum according value. caused removed using comprehensive 2D-COS method. We apply polymeric samples retrieve high-quality reliable second derivative without present work provides new opportunity obtaining region masked