Literature DB >> 11745782

Near-infrared spectroscopy and imaging for the monitoring of powder blend homogeneity.

A S El-Hagrasy1, H R Morris, F D'Amico, R A Lodder, J K Drennen.   

Abstract

In-process testing requirements for adequacy of mixing are established in 21 CFR 211.110(a)(3). Considering also, the U.S. Food and Drug Administration's draft guidance published in 1999 (Guidance for Industry, ANDAs: Blend Uniformity Analysis; http://www.fda.gov/cder/guidance/index.htm), the importance of when and how to perform blend uniformity analysis is obvious. Near-infrared (NIR) spectroscopy was used noninvasively, in this study, to monitor powder blend homogeneity. Powder mixtures consisting of salicylic acid and Fast-Flo lactose were blended in an 8-qt. V-Blender. Optical ports installed at six positions on the blender allowed spectral collection using fiber optics. A traditional thief probe was used to collect powder samples for ultraviolet (UV) reference analysis. The blender was stopped at preselected time points for collection of NIR and UV data. Several algorithms and sampling protocols were studied to identify an optimum methodology for blend homogeneity determination. The blending process was also monitored with an InSb imaging camera for comparison with the traditional NIR spectroscopy and UV reference data. Data analysis indicates that multiple sampling points were essential for accurate and precise estimation of mixing end points. Moreover, multiple runs of identical blends often display homogeneity at unique end points, thus demonstrating the potential advantage of monitoring every blend. Copyright 2001 Wiley-Liss, Inc. and the American Pharmaceutical Association

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Year:  2001        PMID: 11745782     DOI: 10.1002/jps.1082

Source DB:  PubMed          Journal:  J Pharm Sci        ISSN: 0022-3549            Impact factor:   3.534


  10 in total

1.  Blend uniformity analysis using stream sampling and near infrared spectroscopy.

Authors:  Manuel Popo; Saly Romero-Torres; Carlos Conde; Rodolfo J Romañach
Journal:  AAPS PharmSciTech       Date:  2002       Impact factor: 3.246

2.  Near-infrared spectral imaging for quality assurance of pharmaceutical products: analysis of tablets to assess powder blend homogeneity.

Authors:  Robbe C Lyon; David S Lester; E Neil Lewis; Eunah Lee; Lawrence X Yu; Everett H Jefferson; Ajaz S Hussain
Journal:  AAPS PharmSciTech       Date:  2002       Impact factor: 3.246

3.  Process analytical technology case study part I: feasibility studies for quantitative near-infrared method development.

Authors:  Robert P Cogdill; Carl A Anderson; Miriam Delgado-Lopez; David Molseed; Robert Chisholm; Raymond Bolton; Thorsten Herkert; Ali M Afnán; James K Drennen
Journal:  AAPS PharmSciTech       Date:  2005-10-06       Impact factor: 3.246

4.  Quantitative analysis of film coating in a pan coater based on in-line sensor measurements.

Authors:  José D Pérez-Ramos; W Paul Findlay; Garnet Peck; Kenneth R Morris
Journal:  AAPS PharmSciTech       Date:  2005-09-20       Impact factor: 3.246

5.  Near-infrared imaging for studying homogeneity of protein-sugar mixtures.

Authors:  Natasa Jovanović; Ad Gerich; Andréanne Bouchard; Wim Jiskoot
Journal:  Pharm Res       Date:  2006-08-12       Impact factor: 4.200

6.  Molecular factor computing for predictive spectroscopy.

Authors:  Bin Dai; Aaron Urbas; Craig C Douglas; Robert A Lodder
Journal:  Pharm Res       Date:  2007-03-23       Impact factor: 4.200

7.  Monitoring blending of pharmaceutical powders with multipoint NIR spectroscopy.

Authors:  Otto Scheibelhofer; Nikolaus Balak; Patrick R Wahl; Daniel M Koller; Benjamin J Glasser; Johannes G Khinast
Journal:  AAPS PharmSciTech       Date:  2012-12-21       Impact factor: 3.246

8.  NIR Spectroscopy as an Online PAT Tool for a Narrow Therapeutic Index Drug: Toward a Platform Approach Across Lab and Pilot Scales for Development of a Powder Blending Monitoring Method and Endpoint Determination.

Authors:  Sameer Talwar; Pallavi Pawar; Huiquan Wu; Koushik Sowrirajan; Suyang Wu; Benoît Igne; Richard Friedman; Fernando J Muzzio; James K Drennen
Journal:  AAPS J       Date:  2022-09-28       Impact factor: 3.603

Review 9.  Pharmaceutical application of multivariate modelling techniques: a review on the manufacturing of tablets.

Authors:  Guolin Shi; Longfei Lin; Yuling Liu; Gongsen Chen; Yuting Luo; Yanqiu Wu; Hui Li
Journal:  RSC Adv       Date:  2021-02-23       Impact factor: 3.361

Review 10.  Process Analytical Technology Tools for Monitoring Pharmaceutical Unit Operations: A Control Strategy for Continuous Process Verification.

Authors:  Eun Ji Kim; Ji Hyeon Kim; Min-Soo Kim; Seong Hoon Jeong; Du Hyung Choi
Journal:  Pharmaceutics       Date:  2021-06-21       Impact factor: 6.321

  10 in total

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