Development of near infrared spectroscopic calibration models for in-line determination of low drug concentration, bulk density, and relative specific void volume within a feed frame.


Journal

Journal of pharmaceutical and biomedical analysis
ISSN: 1873-264X
Titre abrégé: J Pharm Biomed Anal
Pays: England
ID NLM: 8309336

Informations de publication

Date de publication:
05 Feb 2019
Historique:
received: 09 08 2018
revised: 24 10 2018
accepted: 25 10 2018
pubmed: 6 11 2018
medline: 20 3 2019
entrez: 5 11 2018
Statut: ppublish

Résumé

This study describes the development of a near infrared (NIR) calibration model for real time determination of drug concentration, powder density, and porosity or relative specific void volume (RSVV) of 3.00%w/w acetaminophen blends within a feed frame. The NIR calibration model was developed from 1.50 to 4.50%w/w of acetaminophen, using a high variability of major excipients (from 12.92 to 81.95%w/w) which facilitates the prediction of powder density and RSVV based on near infrared calibration spectra. The model using second derivative as spectral preprocessing explained the changes related to acetaminophen concentration in the first latent variable. The second latent variable was related to changes in concentration of microcrystalline cellulose and lactose in the powder blends. NIR calibrations were also developed based on the bulk density and RSVV of the powder blends using the same design as the API model, due to the physical properties of the particles and their effects on the NIR spectra. The RSVV was predicted for the independent set blends with an RSEP(%) below 4% with a significantly low bias (0.04 cm

Identifiants

pubmed: 30391810
pii: S0731-7085(18)31827-2
doi: 10.1016/j.jpba.2018.10.046
pii:
doi:

Substances chimiques

Excipients 0
Powders 0
Tablets 0
Acetaminophen 362O9ITL9D
Cellulose 9004-34-6
Lactose J2B2A4N98G
microcrystalline cellulose OP1R32D61U

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

211-222

Informations de copyright

Copyright © 2018 Elsevier B.V. All rights reserved.

Auteurs

Carlos Ortega-Zúñiga (C)

Engineering Research Center for Structured Organic Particulate Systems (C-SOPS), Department of Chemistry, University of Puerto Rico, Mayaguez Campus, Mayaguez, PR 00681, USA.

Carlos Pinzón-De la Rosa (CP)

Engineering Research Center for Structured Organic Particulate Systems (C-SOPS), Department of Chemistry, University of Puerto Rico, Mayaguez Campus, Mayaguez, PR 00681, USA.

Andrés D Román-Ospino (AD)

Engineering Research Center for Structured Organic Particulate Systems (C-SOPS), Department of Chemistry, University of Puerto Rico, Mayaguez Campus, Mayaguez, PR 00681, USA.

Alberto Serrano-Vargas (A)

Engineering Research Center for Structured Organic Particulate Systems (C-SOPS), Department of Chemical Engineering, University of Puerto Rico, Mayaguez Campus, Mayaguez, PR 00681, USA.

Rodolfo J Romañach (RJ)

Engineering Research Center for Structured Organic Particulate Systems (C-SOPS), Department of Chemistry, University of Puerto Rico, Mayaguez Campus, Mayaguez, PR 00681, USA.

Rafael Méndez (R)

Engineering Research Center for Structured Organic Particulate Systems (C-SOPS), Department of Chemical Engineering, University of Puerto Rico, Mayaguez Campus, Mayaguez, PR 00681, USA.

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Classifications MeSH