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Bethlehem, PennsylvaniaMay 6, 2026 /PRNewswire/ — ABEC, a global leader in bioprocess engineering solutions, announced the expansion of its Process Science team, further enhancing its ability to help biopharmaceutical manufacturers accelerate development, reduce risk, and improve productivity across the entire bioprocess lifecycle.
The Process Science team combines chemical and biological engineering expertise with advanced modeling, experimental testing, and customized equipment design to provide clients with comprehensive support from early-stage development to commercial production. By integrating hands-on experimentation with computational tools, ABEC enables faster troubleshooting, more efficient scale-up, and reliable technology transfer while ensuring product quality and consistency.
At the core of ABEC’s Process Science approach is a deep understanding of the process. Engineers analyze and optimize key parameters such as mass transfer, agitation, mixing time, shear force, and carbon dioxide removal to precisely achieve specific process goals while avoiding common mixing and scale-up challenges. This expertise covers both microbial fermentation and animal cell culture processes, enabling ABEC to deliver tailored solutions for a range of biomanufacturing applications.
ABEC’s dedicated facilities support practical mixing studies ranging from 200 milliliters to 6,000 liters, as well as live cell or microbial culture experiments, further supporting process validation. These efforts are complemented by computational fluid dynamics (CFD) and other modeling tools, providing data to support Quality by Design (QbD) initiatives and process characterization.
Advanced CFD simulations also help reduce development time and costs by minimizing the number of experimental runs and lowering decision-making risks in scale-up and technology transfer. Rather than forcing a process to fit standard equipment, ABEC designs systems around established process requirements.
Scott Pickering said: “Process Science gives our clients confidence as they move from development to production. By combining modeling, experimental validation, and customized equipment design, we help them optimize performance, increase yields, and reduce uncertainty.”