Lipid nanoparticle (LNP) formulation development begins on a small scale, often with homemade or benchtop setups, using syringe pumps and easily accessible micro-mixing systems. Once a promising formulation has been identified, the next step is to transition to standardized large-scale impingement mixing systems, such as the high flow T-mixing pumps that were used to produce the COVID-19 vaccines (Sealy 2021). Formulators need to consider a number of factors when scaling up novel LNP systems. These include flow rates that affect LNP particles, solvent removal, risk factors when changing equipment, and the impact of tangential flow filtration sensitivity. In this technical note, we discuss these factors and what needs to be considered when developing a cost- and time efficient large-scale process.
The Role of On-Demand Manufacturing and Derisking in Accelerating Early Clinical Trial Success
June 4th 2025Small pharmaceutical companies are constantly seeking innovative solutions to streamline early clinical trials. Adaptive clinical trials offer important benefits to sponsors and patients, both from a commercial and ethical standpoint. These trials offer flexibility and efficiency, especially in the early stages, where trial protocols can be adjusted based on interim data, such as introducing new doses or modifying participant sample size. However, adjusting manufacturing demand during an adaptive trial can be complicated, and strict regulatory requirements present significant challenges. On-demand manufacturing provides a robust solution, allowing for real-time supply and demand adjustments and improved trial flexibility. This paper explores how on-demand manufacturing meets the operational needs of adaptive trials and aligns with regulatory expectations.
Fast and Efficient Sialic Acid Clone Selection Using Lectin-Based High-Throughput Screening
June 2nd 2025Glycosylation is a common and critical post-translational modification that affects protein function and therapeutic efficacy, making its monitoring and accurate quantification essential for drug development.