The conclusions of the test were:
In this study, the multiple spectra of different soy hydrolysate lots was analyzed in order to develop a fast screening tool for the raw materials in mammalian cell culture processes. By using a chemometric approach, it was demonstrated that data fusion of different spectroscopic technique can be used to reveal lot-to-lot variability, as well as vendor-to-vendor differences of soy hydrolysate, which cannot be avoided for these chemically undefined raw materials. At the same time, the prediction models for estimating cell growth and productivity of mammalian cell cultures from near-infrared spectra were constructed, providing estimation of the cell culture performance under conditions of varying soy dosages in a cell line-specific manner.
Read the full paper here.
Next month, Seongkyu Yoon, Ph.D., Assistant Professor and Director, Massachusetts BioManufacturing Center, University of Massachusetts Lowell will be on hand to look at many of these topics in the session Assessment, Monitoring and In-process Control of Critical Raw Material Variability in Mammalian Cell Culture" at the Biopharmaceutical Development and Production Week event. For more information on this session and the rest of the agenda, download the brochure. If you'd like to join us in Huntington Beach, California, as a reader of this blog, when you register and mention code BDP13JP and you’ll save 20% off the standard rate (if you have not previously registered)!
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