Bringing Scalability to Metabolic Flux Analysis Using Machine Learning to Accelerate LC-MS Interpretation
Metabolic Flux Analysis (MFA) is a powerful technique used to characterize metabolic phenotype driving to improved productivity in biomanufacturing. MFA is most powerful when absolute concentrations of the metabolic intermediates are measured, but doing so in practice is often impractical due to inherent limitations of conventional absolute quantitation by mass spectral analysis. Recently, advances in artificial intelligence (AI) have been applied to solving the problem of broad, untargeted, absolute quantitation in liquid chromatography-mass spectrometry (LC-MS). These new approaches extend readily to the determination of absolute concentrations of stable isotopically-labeled metabolic intermediates, offering a new tool for MFA. Dr Sam Yenne from Metalytics Inc., a company that specializes in the science of metabolic flux, has recently assessed and adopted Pyxis, a new tool for absolute quantitation of raw LC-MS data. Dr Yenne describes MFA, its utility in biopharmaceutical development, associated challenges and how Pyxis impacts those challenges.
Biophysical and Aggregate Characterization for the Development of Biologics
June 10th 2025This eBook explores how advanced particle analysis technologies are revolutionizing biologic drug development. It highlights the importance of accurately identifying and characterizing subvisible particles to ensure drug safety, stability, and regulatory compliance. Techniques like Backgrounded Membrane Imaging (BMI) and Fluorescence Membrane Microscopy (FMM) are often used for their capabilities in detecting protein aggregates and degraded excipients such as polysorbates. Case studies and experimental results demonstrate how these tools provide high-throughput, low-volume analysis that enhances decision-making in formulation screening and manufacturing.
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.
Top 10 Cleanroom Problems That Can Be Prevented via Preventative Maintenance (May 2025)
May 16th 2025Cleanrooms require strict environmental control to maintain sterility, prevent contamination, and ensure seamless operations. Without a proactive preventative maintenance (PM) program, various issues can arise, leading to costly downtime, contamination risks, and operational inefficiencies. Below are ten common cleanroom problems that can be effectively mitigated through proper PM practices.
Optimizing cGMP Facility Design Space with a Hybrid Approach (May 2025)
May 16th 2025In this webcast, we review industry drivers and risks for capital construction, with a focus on cleanroom infrastructure, and discuss the goals of using a hybrid approach while demonstrating its application and benefits using real-world examples.
