Maximizing similarity: Using correlation coefficients to calibrate kinetic parameters in population balance models.

ABSTRACT: Crystallization plays a crucial role as a separation and purification technique, particularly in the chemical and pharmaceutical industries. By adjusting process parameters, the productivity, product quality, and efficiency of downstream processes can be improved. In complex processes, model-based design becomes invaluable. Population Balance Models (PBMs) have successfully aided the chemical industry in achieving more effective production processes for decades. These models can utilize various input data sources to identify the dominant mechanisms and calibrate model parameters. While inline particle monitoring tools serve as excellent qualitative descriptors, challenges arise from experimentation and data interpretation, hindering their direct application in the kinetic parameter estimat

SUBMITTER: Orosz A 

PROVIDER: S-EPMC11609454 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature