A5078749571- Innovative Microfluidic and Catalytic Techniques Innovation
- Process Optimization and Integration
- Microfluidic and Capillary Electrophoresis Applications
- Asymmetric Hydrogenation and Catalysis
- COVID-19 epidemiological studies
- Chemical Reaction Mechanisms
- SARS-CoV-2 and COVID-19 Research
- Crystallization and Solubility Studies
- Ultrasound in Clinical Applications
- COVID-19 Pandemic Impacts
- Pharmaceutical Economics and Policy
- Advanced Control Systems Optimization
- Chemical Synthesis and Analysis
- Catalysis and Hydrodesulfurization Studies
- Data-Driven Disease Surveillance
- Artificial Intelligence in Healthcare and Education
- Computational Drug Discovery Methods
- Chemistry and Chemical Engineering
- Radiation Dose and Imaging
- Influenza Virus Research Studies
University of South Australia
2025
The University of Tokyo
2021-2024
This work presents hybrid modeling of an active pharmaceutical ingredient flow synthesis in a ring-opening reaction epoxide with Grignard reagent. Conducting this batch reactor is challenging due to its fast and highly exothermic nature, which makes it difficult collect kinetic data. To address this, experiment was conducted varying parameters, such as the inner diameter temperature, information. A one-dimensional mechanistic model then developed, two mechanisms were assessed, Swain Boyles...
A kinetic study and model-based design space determination for drug substance flow synthesis using an amination reaction are presented. experiment was conducted to synthesize 3-fluoro-4-morpholinobenzonitrile from 3,4-difluorobenzonitrile, morpholine, diazabicycloundecene. Concentrations, residence time, temperature, reactor inner diameter were varied gather the data. set of equations defined describe mass energy balances, developed model could reproduce experimental profiles with high...
Extensive kinetic investigations were performed to identify novel reaction pathways and assess their feasibility resolve contradictions in the reported understanding of an amination via nucleophilic aromatic substitution.
Coronavirus disease 2019 (COVID-19) has spread throughout the world. The prediction of number cases become essential to governments' ability define policies and take countermeasures in advance. numbers have been estimated using compartment models infectious diseases such as susceptible-infected-removed (SIR) model its derived models. However, required use hypothetical future values for parameters, effective reproduction or infection rate, increases uncertainty results. Here, we describe our...
Vaccines suppress the increased spread of infectious diseases or number severe cases. Considerable research and development yielded several vaccines against coronavirus disease 2019 (COVID-19). To contain disease, governments have run vaccination campaigns implemented restrictions depending on status. Ensuring stability vaccine supply with and/or seasonal demand has thus become critical. However, determination required is difficult due to variations in virus mutations, their impacts...