Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of Near Infrared Spectroscopy
  • Vol. 22,
  • Issue 3,
  • pp. 239-248
  • (2014)

An Evaluation of Content Uniformity of Tablets Prepared by Quasi-Continuous Drug Coating Using near Infrared and Raman Spectroscopy

Not Accessible

Your library or personal account may give you access

Abstract

In recent years, there has been increased interest in continuous manufacturing to improve manufacturing efficiencies. The Supercell coater is an example of a quasi-continuous coater capable of integration as an in-line unit operation for handling sub-batches of tablets. The aim of this study was to evaluate the drug-content uniformity of tablets prepared by quasi-continuous drug coating using the Supercell coater. In addition, near infrared (NIR) and Raman spectroscopy were evaluated in parallel as process analytical technology tools for the monitoring of drug content in the coated tablets. Results showed that the Supercell coater was capable of coating tablets continuously with interbatch relative standard deviations of 2.2–4.9%, as measured by NIR spectroscopy and 1.4–5.0%, as measured by Raman spectroscopy. Both NIR and Raman spectroscopic methods were shown to be useful as non-destructive and rapid at-line monitoring tools to evaluate the drug-content uniformity of coated tablets. The spectra obtained from future exhaustive online measurements of tablets may be used as product fingerprints for real-time quality assurance.

© 2014 IM Publications LLP

PDF Article
More Like This
Optical system for tablet variety discrimination using visible/near-infrared spectroscopy

Yongni Shao, Yong He, and Xingyue Hu
Appl. Opt. 46(34) 8379-8384 (2007)

Spatial mapping of proteoglycan content in articular cartilage using near-infrared (NIR) spectroscopy

Isaac O. Afara, Hayley Moody, Sanjleena Singh, Indira Prasadam, and Adekunle Oloyede
Biomed. Opt. Express 6(1) 144-154 (2015)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.