Characterization of Raw Material Influence on Mammalian Cell Culture Performance: Chemometrics Based Data Fusion Approach

Near-infrared, Raman, fluorescence and X-ray fluorescence spectra of multiple soy hydrolysate lots manufactured by different vendors were analyzed for comprehensive characterization of raw materials used in mammalian cell culture processes. The variability of soy hydrolysates, as well as the correlation between multiple spectra and cell culture performance was addressed. The identified compositional variability was further analyzed in order to estimate the growth and protein production of two mammalian cell lines. Multiple spectral platforms were compared with each other in terms of their estimation capability, and finally integrated into a unifying prediction model using data fusion strategies. The performance of the resulting models demonstrated the potential of data fusion of multiple spectroscopies as a robust lot selection tool for raw materials while providing a biological link between the chemical composition of raw materials and cell culture performances.