| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 7626782 | Journal of Pharmaceutical and Biomedical Analysis | 2018 | 8 Pages |
Abstract
A partial least squares regression (PLSR) model was built with the samples and was validated using leave-one-out cross-validation. Low prediction errors of between 2% and 4% for both unpackaged and packaged tablets were obtained for all three chemical compounds. The prediction capability through packaging demonstrates a truly non-destructive method for quantifying tablet composition and demonstrates good potential for EDXRD to be applied in the field of counterfeit medicine screening and pharmaceutical quality control.
Related Topics
Physical Sciences and Engineering
Chemistry
Analytical Chemistry
Authors
Chiaki Crews, Peter S. Kenny, Daniel O'Flynn, Robert D. Speller,