Purpose: This paper shows how to optimize the primary drying phase, for both product quality and drying time, of a parenteral formulation via design space.
Methods: A non-steady state model, parameterized with experimentally determined heat and mass transfer coefficients, is used to define the design space when the heat transfer coefficient varies with the position of the vial in the array. The calculations recognize both equipment and product constraints, and also take into account model parameter uncertainty.
Results: Examples are given of cycles designed for the same formulation, but varying the freezing conditions and the freeze-dryer scale. These are then compared in terms of drying time. Furthermore, the impact of inter-vial variability on design space, and therefore on the optimized cycle, is addressed. With this regard, a simplified method is presented for the cycle design, which reduces the experimental effort required for the system qualification.
Conclusions: The use of mathematical modeling is demonstrated to be very effective not only for cycle development, but also for solving problem of process transfer. This study showed that inter-vial variability remains significant when vials are loaded on plastic trays, and how inter-vial variability can be taken into account during process design.
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http://dx.doi.org/10.3109/10837450.2012.734512 | DOI Listing |
J Chem Theory Comput
March 2025
Department of Chemistry, Iowa State University, Ames, Iowa 50011, United States.
Protein evolution has shaped enzymes that maintain stability and function across diverse thermal environments. While sequence variation, thermal stability and conformational dynamics are known to influence an enzyme's thermal adaptation, how these factors collectively govern stability and function across diverse temperatures remains unresolved. Cytosolic malate dehydrogenase (cMDH), a citric acid cycle enzyme, is an ideal model for studying these mechanisms due to its temperature-sensitive flexibility and broad presence in species from diverse thermal environments.
View Article and Find Full Text PDFAddiction
March 2025
Division of Infectious Diseases and Global Public Health, University of California San Diego, San Diego, CA, USA.
Background And Aims: Better understanding the challenges faced by patients on medications for opioid use disorder (MOUD), including methadone and buprenorphine, is critical to increasing their use/retention. Social media platforms such as Reddit offer a space for patients to share their experiences with medications. We aimed to identify and characterize challenges faced by patients taking MOUD through analysis of discussions from the r/Methadone and r/suboxone subreddits.
View Article and Find Full Text PDFChem Asian J
March 2025
Thammasat University Sirindhorn International Institute of Technology, Bio-Chemical Engineering and Technology, Phahonyothin Rd., 12120, Khlong Nueng, THAILAND.
Graphene has emerged as a promising support material for Cu-Zn catalysts in CO2 hydrogenation to methanol due to its high surface area and potential for functionalization with heteroatoms like nitrogen and oxygen, with nitrogen believed to contribute to the reaction. In this study, we combined machine learning and data analysis with experimental work to investigate this effect. Machine learning (using a decision tree model) identified copper particle size, average pore diameter, reduction time, surface area, and metal loading content as the most impactful features for catalyst design, while nitrogen doping showed negligible influence on methanol space-time yield.
View Article and Find Full Text PDFMaterials (Basel)
March 2025
Department of Information and Communication Engineering, College of Electronics and Information Engineering, Sichuan University, Chengdu 610041, China.
In the field of electromagnetic design, it is sometimes necessary to search for the optimal design solution (i.e., the optimal solution) within a large solution space to complete the optimization.
View Article and Find Full Text PDFPolymers (Basel)
February 2025
Department of Engineering Management, College of Engineering, Prince Sultan University, Riyadh 12435, Saudi Arabia.
Heart failure functions as one of the leading global causes of death because it falls under the cardiovascular disease categories. Cardiac tissue engineering advances by developing new tissues to rebuild heart functions in individuals with damaged heart structures as it gives medical treatment possibilities to patients reaching their final stage. Most of the heart tissue consists of cardiomyocytes which make up between 80 to 90 percent of the total organ space.
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