Literature DB >> 9552448

Preliminary assessment of an image analysis method for the evaluation of pharmaceutical coatings.

J P Kennedy1, P J Niebergall.   

Abstract

This article describes the development and preliminary assessment of an innovative image analysis method for the evaluation of pharmaceutical coatings. Nonpareils previously hot-melt coated with a red water-soluble dye incorporated into polyethylene glycol were employed to develop and evaluate the new method. Digital images of batch samples were acquired and transferred to a PC for evaluation by image analysis software. Standard deviations generated for the optical densities of individual nonpareils in each batch sample were utilized to evaluate coating uniformity. Mean optical densities generated for each batch sample were used to evaluate the mean coating thickness. Method precision determinations, using an average sample size of 221 nonpareils, returned a relative standard deviation of 2.47% for coating uniformity and 1.71% for coating thickness. The new method is rapid, objective, and relatively inexpensive. It proved to be both qualitative and quantitative for coating uniformity, qualitative for coating thickness, and maintained a high degree of precision. The method can be used independently or in conjunction with other methods to eliminate their subjective aspects regarding sample selection.

Entities:  

Mesh:

Year:  1997        PMID: 9552448     DOI: 10.3109/10837459709031440

Source DB:  PubMed          Journal:  Pharm Dev Technol        ISSN: 1083-7450            Impact factor:   3.133


  2 in total

1.  Movement of different-shaped particles in a pan-coating device using novel video-imaging techniques.

Authors:  Preetanshu Pandey; Richard Turton
Journal:  AAPS PharmSciTech       Date:  2005-10-06       Impact factor: 3.246

Review 2.  Image Analysis: A Versatile Tool in the Manufacturing and Quality Control of Pharmaceutical Dosage Forms.

Authors:  Dóra Farkas; Lajos Madarász; Zsombor K Nagy; István Antal; Nikolett Kállai-Szabó
Journal:  Pharmaceutics       Date:  2021-05-10       Impact factor: 6.321

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.