October 18 – 20: Professor Romañach presented “Understanding the Sources of Error in PAT Methods That Monitor Continuous Processes” at the Symposium on Novel Manufacturing approaches in the AAPS meeting in Boston, organized by Maria T Cruanes.
July 8th, 2022 – Graduate student Nicole M. Torres Colón, received a NASA PR Space Grant Fellowship for the 2022-2023 academic year.
June 12, 2022: Professor Romañach presented “Reducing and Estimating Sampling Errors in PAT Applications”, a 3-hour short course at the IFPAC 2022 Conference in North Bethesda, MD. June 15, 2022: Professor Romañach shared the session on Incentives and Business Cases at the IFPAC 2022 Conference in North Bethesda, MD.
May 31 – June 2, Professor Romañach, participated in the 10th World Conference on Sampling and Blending held in Kristiansand, Norway, where he presented: Differentiating analytical error from sampling errors in PAT methods through variographic analysis, co-authored by: Jose Puche, Nobel O. Sierra-Vega, and Professor Rafael Méndez.
March 23, The publication: Development and Application of a Business Case Model for a Stream Sampler in the Pharmaceutical Industry, is now on-line in the Journal of Pharmaceutical Innovation. Abstract: A template to prepare a business case for Process Analytical Technology (PAT) and Continuous Manufacturing (CM) projects is presented in this study. Business cases are…
Sierra-Vega NO, González-Rosario RA, Rangel-Gil RS, Romañach RJ, Méndez R. Quantitative analysis of blend uniformity within a Three-Chamber feed frame using simultaneously Raman and Near-Infrared spectroscopy. Int J Pharm. 2022;613:121417 AbstractThis study reports the use of Raman and Near-infrared (NIR) spectroscopy to simultaneously monitor the drug concentration in flowing powder blends within a three-chamber feed…
Sánchez-Paternina A, Martínez-Cartagena P, Li J, et al. Residence time distribution as a traceability method for lot changes in a pharmaceutical continuous manufacturing system. Int J Pharm. 2022;611:121313 Abstract Residence time distribution (RTD) models were developed to track raw material lots and investigate batch transitions in a continuous manufacturing system. Two raw materials with similar…
