Hiring in life sciences? Share your open positions with our professional community. Read more Close

Advertisement

Detection of Crystalline Ibuprofen Components in Ibuprofen-Loaded SBA-15 Mesoporous Silica Using Time-Domain NMR.

Created on 10 Sep 2026

Authors

Madoka Kobayashi, Fumitaka Kato, Kotaro Okada

Published in

Chemical & pharmaceutical bulletin. Volume 74. Issue 9. Pages 683-692.

Abstract

The present study evaluated the applicability of time-domain NMR (TD-NMR) for detecting crystalline ibuprofen components in ibuprofen-loaded mesoporous silica. Ibuprofen-loaded mesoporous silica samples with different drug loadings were prepared, and the physical state of ibuprofen was characterized by nitrogen adsorption, powder X-ray diffraction (PXRD), differential scanning calorimetry (DSC), 13C solid-state NMR spectroscopy, and TD-NMR relaxation measurements. PXRD, DSC, and 13C solid-state NMR spectroscopy did not clearly detect crystalline ibuprofen in samples with ibuprofen loadings of 10-30%. By contrast, crystalline components were observed in samples with loadings of 40% or higher. These crystalline components were considered to originate predominantly from excess ibuprofen that crystallized outside the mesopores. In the T1 relaxation analysis using TD-NMR, IBU10-30 was mainly described by a monoexponential function, whereas IBU40-70 required a biexponential function, yielding a long T1 component associated with crystalline ibuprofen. In the T2 relaxation analysis, IBU40-70 exhibited an initial rapid decay that was described by a Gaussian function, whereas IBU10-30 showed a gradual exponential decay. The signal proportions of these NMR relaxation components increased with increasing ibuprofen loading and showed trends consistent with the apparent crystallinity estimated by DSC. These results suggest that TD-NMR, particularly T2 relaxation analysis, may serve as a complementary, nondestructive, and rapid method for evaluating the appearance and increase of crystalline ibuprofen components in mesoporous silica formulations and for monitoring changes in crystallinity.

PMID:
42716791
Bibliographic data and abstract were imported from PubMed on 10 Sep 2026.

Read full publication at:
Please sign in to see all details.

Advertisement

Stats

  • Community rating n/a 0 votes
  • Reviewers' rating n/a 0 votes
  • Your rating

1-terrible, 9-excellent. How would you rate this publication? Sign in in to submit your rating.

  • Recommendations n/a n/a positive of 0 vote(s)
  • Views 3
  • Comments 0

Recommended by

  • No recommendations yet.

Post a comment

You need to be signed in to post comments. You can sign in here.

Comments

There are no comments yet.

Advertisement