2024 AIChE Annual Meeting

(504d) Development of an Advanced API Manufacturing System

Authors

Daniel Gregory - Presenter, Lehigh University
Kaitlin Kay, Virginia Commonwealth University
Frank Gupton, Virginia Commonwealth University
James K. Ferri, Virginia Commonwealth University
Active pharmaceutical ingredients (APIs) are traditionally synthesized via batch processing on an industrial scale, enabling the production of +500k metric tons of a given API per year. However, batch processing is a cumbersome, labor-intensive strategy that often involves iterative purification steps, large volumes of waste, and chemical variability between each API batch. Additionally, the cost of manufacturing and necessity of hands-on labor has culminated in complex logistical networks which span across multiple continents, requiring chain-of-custody documentation to ensure API synthesis meets FDA regulations. These inefficiencies have led to supply-chain delays for critical lifesaving drugs, a phenomenon exacerbated by SARS-CoV-2. Recently, a new and emerging advanced manufacturing strategy seeks to employ automated, continuous manufacturing systems for the production of drugs via flow chemistry. These Next-Gen systems can be configured for high throughput conversion of raw chemical feedstocks into packaged pharmaceutical drug formulations with on-line spectroscopic validation to ensure product purity.

This talk will highlight VCU's construction of a Next-Gen API synthesis module for the production of albuterol sulfate, a bronchodilator asthma drug found on the ASPR drug shortage list. The project is currently in year two in collaboration with Rutgers University. The continuous end-to-end manufacturing system will consist of Module 1: API synthesis (VCU), and Module 2: API formulation, fill-finish, and product packaging (Rutgers). Key engineering decisions will be highlighted including the incorporation of a tubular flow reactor to enable SN2 amination, a catalytic packed bed reactor (PBR) for hydrogenation, and a series of purification submodules. Chemometric modeling is enabled by correlating off-line analytical characterization via high performance liquid chromatography (HPLC) to on-line nuclear magnetic resonance spectroscopy (1H NMR) and in-line UV-Vis for purity and concentration evaluation. The final automated system will be monitored using process analytical technologies (PAT) to ensure product quality while facilitating the production of 120-1,200 packaged doses per hour. Ultimately, this Next-Gen strategy will help reduce API manufacturing costs and bolster America’s pharmaceutical supply chain resiliency.