Literature DB >> 1924167

Spectrophotometric prediction of the dissolution rate of carbamazepine tablets.

P N Zannikos1, W I Li, J K Drennen, R A Lodder.   

Abstract

A near-infrared (IR) spectrophotometer, integrating optics, and parallel-vector supercomputer are employed to develop a mathematical model that predicts the dissolution rate of individual intact tablets from near-IR spectra (r2 = 0.985). Each tablet can be analyzed nondestructively by the spectrophotometer in less than 1 min. The model permits hundreds of near-IR wavelengths to be used in the determination of dissolution rate, leading to increased accuracy.

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Year:  1991        PMID: 1924167     DOI: 10.1023/a:1015840604423

Source DB:  PubMed          Journal:  Pharm Res        ISSN: 0724-8741            Impact factor:   4.200


  4 in total

1.  Quantitative determination of polymorphic forms in a formulation matrix using the near infra-red reflectance analysis technique.

Authors:  R Gimet; A T Luong
Journal:  J Pharm Biomed Anal       Date:  1987       Impact factor: 3.935

2.  Near-infrared spectroscopic determination of residual moisture in lyophilized sucrose through intact glass vials.

Authors:  M S Kamat; R A Lodder; P P DeLuca
Journal:  Pharm Res       Date:  1989-11       Impact factor: 4.200

3.  Nondestructive near-infrared analysis of intact tablets for determination of degradation products.

Authors:  J K Drennen; R A Lodder
Journal:  J Pharm Sci       Date:  1990-07       Impact factor: 3.534

4.  Stability of carbamazepine suspension after repackaging into four types of single-dose containers.

Authors:  D R Lowe; S H Fuller; L J Pesko; W R Garnett; H T Karnes
Journal:  Am J Hosp Pharm       Date:  1989-05
  4 in total
  3 in total

1.  Comparative in vitro study of six carbamazepine products.

Authors:  Pavan Kumar Mittapalli; Bandari Suresh; S S Q Hussaini; Yamasani Madhusudan Rao; Shashank Apte
Journal:  AAPS PharmSciTech       Date:  2008-02-16       Impact factor: 3.246

Review 2.  Application of Artificial Neural Networks in the Process Analytical Technology of Pharmaceutical Manufacturing-a Review.

Authors:  Brigitta Nagy; Dorián László Galata; Attila Farkas; Zsombor Kristóf Nagy
Journal:  AAPS J       Date:  2022-06-14       Impact factor: 3.603

3.  Acoustic-resonance spectrometry as a process analytical technology for rapid and accurate tablet identification.

Authors:  Joseph Medendorp; Robert A Lodder
Journal:  AAPS PharmSciTech       Date:  2006-03-17       Impact factor: 3.246

  3 in total

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