Literature DB >> 25462123

Detailed analysis of the online near-infrared spectra of pharmaceutical blend in a rotary tablet press feed frame.

Slobodan Šašić1, Daniel Blackwood2, Angela Liu2, Howard W Ward2, Hugh Clarke2.   

Abstract

The present study is an in-depth analysis of the online near-infrared (NIR) spectra acquired with a spectrometer mounted on the rotary tablet press feed frame. A 3.5% active pharmaceutical ingredient (API) formulation is analyzed. An attempt is made to determine the API univariately via the 2nd derivative spectra due to favorable appearance of the API and placebo bands in the formulation. However, the signal at the univariate API peak is ambiguous and principal component analysis is hence applied to understand better the structure of the data. To eliminate effect of the bias along the wavelength axis which is found to dominate the data, the analysis is restricted only to the spectral region that covers the API band of interest. This leads to significantly better results in terms of the univariate profile of the API now heavily overlapping with the first principal component and the elimination of the bias. Having thus proven that the univariate analysis is a viable option, an attempt is made to calibrate the API response by using some previous runs that involved alternation of the placebo and the formulation. This analysis produces mixed results due to baseline differences in the two sets of spectra. The final univariate profile of the API is therefore compared with the assay of the tablets and the two are found to agree very well. It is, therefore, concluded that the NIR probe in the feed frame can rapidly detect moderate changes in API concentration in the blend and be a good predictor of tablet potency at the same time point.
Copyright © 2014. Published by Elsevier B.V.

Keywords:  API; Feed frame; Online near-infrared; Quantitative analysis; Univariate analysis

Mesh:

Substances:

Year:  2014        PMID: 25462123     DOI: 10.1016/j.jpba.2014.11.008

Source DB:  PubMed          Journal:  J Pharm Biomed Anal        ISSN: 0731-7085            Impact factor:   3.935


  2 in total

1.  Comparison Between Pure Component Modeling Approaches for Monitoring Pharmaceutical Powder Blends with Near-Infrared Spectroscopy in Continuous Manufacturing Schemes.

Authors:  Adam J Rish; Samuel R Henson; Md Anik Alam; Yang Liu; James K Drennen; Carl A Anderson
Journal:  AAPS J       Date:  2022-07-12       Impact factor: 3.603

Review 2.  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

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.