Информационный документ

The Role of Process Analytical Technology in Academic Research

Информационный документ

Current Research Topics in Chemistry

role of PAT in academic research
role of PAT in academic research

Process analytical technology (PAT) has been a transformative force, significantly enhancing the understanding of kinetics, thermodynamics, and mechanisms in intricate chemical systems. Incorporating real-time, in-situ measurements has empowered researchers to gain advanced insights into the performance and underlying principles of syntheses.

Moreover, PAT plays a crucial role in unraveling the complexities of particle formation and crystallization. It also expedites the conversion of data-rich experiments into valuable information, speeding up the development of new methodologies. This, in turn, accelerates research in diverse areas such as advanced modeling, machine learning, artificial neural networks, self-optimization, and autonomous chemistry. Ultimately, PAT has been instrumental in propelling innovation and expanding possibilities within the realm of chemical research.

This white paper uses a collection of recent publications to examine and highlight the role of various PAT in widely explored academic research areas including:

  • Organo-, organometallic, and bio-catalysis
  • Mild and sustainable chemistry
  • Optimization and safety of energetic reactions
  • Biological-based chemical synthesis
  • Polymer synthesis
  • Kinetics and mechanisms
  • Crystallization and particle characterization
  • Continuous flow chemistry
  • Modeling, optimization, and automation

 

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In this collection of recent university research, the influence and scope of PAT is delineated and reviewed from numerous articles that appear in the global chemical research literature. These articles describe the application of tools that include:

  • Real-time spectroscopy for reaction analysis
  • Automated sampling methodology for chromatography
  • Inline probes for particle and crystallization characterization 
  • Automated workstations for superior control over synthesis conditions
  • Advanced software, algorithms, and modeling

 

 

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