An Accurate Quantitative Analysis of Polymorphic Content by Chemometric X-ray Powder Diffraction

• SUDA Masafumi

  Department of Pharmaceutics, Hoshi University

• TAKAYAMA Kozo

  Department of Pharmaceutics, Hoshi University

• OTSUKA Makoto

  Research Institute of Pharmaceutical Sciences, Faculty of Pharmacy, Musashino University

Abstract

Data from X-ray powder diffraction (XRD) were subjected to a partial least-squares regression analysis (PLS) to build a calibration model for predicting the polymorphic content of carbamazepine (CBZ). The effectiveness of the PLS method in the construction of calibration models was analyzed by a scientific approach based on a regulation vector. CBZ forms I and III were characterized by differential scanning calorimetry (DSC) and XRD. Powder mixtures of forms I and III at various ratios (0 - 100% w/w; form III) were subjected to XRD. Five diffraction peaks were used for the peak-area method to compare with PLS. The results obtained by PLS had a better predictive accuracy compared to those of the peak-area method. The XRD-PLS method was established as a non-destructive, non-contact way to avoid the particle orientation effect based on statistical theory.

Journal

• Analytical Sciences

  Analytical Sciences 24 (4), 451-457, 2008

  The Japan Society for Analytical Chemistry

Keywords

• Analytical Chemistry

Details

• CRID: 1390001204256454400
• NII Article ID: 10021099447
• NII Book ID: AA10500785
• DOI: 10.2116/analsci.24.451
• ISSN: 13482246
• ISSN: 09106340
• NDL BIB ID: 9452041
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I9452041
• Web Site: https://link.springer.com/content/pdf/10.2116/analsci.24.451.pdf
• Web Site: https://link.springer.com/article/10.2116/analsci.24.451/fulltext.html
• Web Site: https://www.jstage.jst.go.jp/article/analsci/24/4/24_4_451/_pdf
• Text Lang: en
• Data Source:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
• Abstract License Flag: Disallowed