A framework for model reliability and estimability analysis of crystallization processes with multi-impurity multi-dimensional population balance models
- Submitting institution
-
Loughborough University
- Unit of assessment
- 12 - Engineering
- Output identifier
- 2221
- Type
- D - Journal article
- DOI
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10.1016/j.compchemeng.2018.09.007
- Title of journal
- Computers & Chemical Engineering
- Article number
- -
- First page
- 275
- Volume
- 122
- Issue
- -
- ISSN
- 0098-1354
- Open access status
- Compliant
- Month of publication
- September
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
4
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper advances the state of the art in the prediction of the effects of multiple impurities on the critical quality attributes of a pharmaceutical product. It led to further discussions with an industrial partner Takeda (Senior Staff Engineer), and to important follow-up funding with EPSRC ARTICULAR EP/R032858, £445K.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
