Adenoviruses are well-known viral vectors that have been previously used in gene therapy and as a vaccine-delivery vehicle for humans and animals. During the COVID-19 pandemic, it gained renewed attention, but at the same time, it raised concerns due to side effects observed with some of the resulting vaccines administered to patients. It has been indicated that these side effects might be attributed to impurities present in the final product. Therefore, constant enhancement of the vaccine purity and further improvement of impurity detection methods are needed. In this work, we showcase an example of industry-relevant adenovirus bioprocess optimization. Our data show the effect of upstream parameters on the bioburden introduced to the downstream process. We provide an example of process optimization using a combination of the PATfix analytical method, ddPCR, infectivity, total DNA, and total protein analyses to optimize cell density, multiplicity of infection, and length of production. Additionally, we provide data illustrating the robustness of the convective interaction media quaternary amine monolithic chromatography step. This anion exchange strategy was shown to remove over 99% of protein and DNA impurities, including those unable to be addressed by tangential flow filtration, while maintaining high adenovirus recoveries.

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http://dx.doi.org/10.1002/elps.202300131DOI Listing

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