2011
DOI: 10.1016/j.ejps.2011.04.017
|View full text |Cite
|
Sign up to set email alerts
|

Development of a Process Analytical Technology (PAT) for in-line monitoring of film thickness and mass of coating materials during a pan coating operation

Abstract: The aim of this study was to perform in-line Near Infrared (NIR) measurements inside a pan coater to monitor a coating operation in real-time, by predicting the increases in mass of coating materials and coating thickness. A polymer combination of ethylcellulose/poly(vinyl-alcohol)-poly(ethylene-glycol) graft copolymer was used as functional aqueous coating. Coated tablets were sampled at regular intervals during the coating operation, then subjected to either simple and fast weighing (n=50) or accurate and no… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

1
26
0

Year Published

2013
2013
2021
2021

Publication Types

Select...
6
2

Relationship

0
8

Authors

Journals

citations
Cited by 59 publications
(27 citation statements)
references
References 29 publications
1
26
0
Order By: Relevance
“…However, the fluorescence of certain coating materials can be a major obstacle with regard to Raman spectroscopy (10)(11)(12). Using a correct data pretreatment and reference analytics, successful real-time prediction of coating thickness, uniformity, and drug release via NIRS were reported (9,18). NIRS was also extensively investigated in connection with fast and non-destructive particle size monitoring during granulation processes, typically combined with moisture content determination (20).…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…However, the fluorescence of certain coating materials can be a major obstacle with regard to Raman spectroscopy (10)(11)(12). Using a correct data pretreatment and reference analytics, successful real-time prediction of coating thickness, uniformity, and drug release via NIRS were reported (9,18). NIRS was also extensively investigated in connection with fast and non-destructive particle size monitoring during granulation processes, typically combined with moisture content determination (20).…”
Section: Introductionmentioning
confidence: 99%
“…Several studies investigated process analytical technology (PAT) applications for the monitoring of coating processes. Most techniques directly rely on the detection of the coating material, including near-infrared spectroscopy (NIRS) (6)(7)(8)(9), Raman spectroscopy (10)(11)(12), and Terahertz pulsed imaging (13). In a series of papers, we recently reported the use of optical coherence tomography (OCT) as a powerful method for in-line measurement of coating thickness and variability (14)(15)(16).…”
Section: Introductionmentioning
confidence: 99%
“…Other research has examined the thickness of the coating layer, which may affect the dissolution profile of the drug product. [1][2][3][4][5][6][7] However, the number of reports focusing on tablet chipping or cracking during the coating process remains low. [8][9][10][11] Mueller et al developed a method for the prediction of tablet velocity using a round shaped pan coater coating from laboratory scale to 200 kg scale.…”
mentioning
confidence: 99%
“…[3][4][5][6][7][8] However, in the process controls using spectroscopic analysis, a large amount of experimental data and human resources are required for developing models. Additionally, a large amount of data are also required for the maintenance of the model after development.…”
mentioning
confidence: 99%
“…1,2) Process analytical technology (PAT) using near infrared spectroscopy (NIR) or Raman spectroscopy has been widely evaluated for the in-line measurement of the water content of tablets, the coated film thickness and other related qualities. [3][4][5][6][7][8] However, in the process controls using spectroscopic analysis, a large amount of experimental data and human resources are required for developing models. Additionally, a large amount of data are also required for the maintenance of the model after development.…”
mentioning
confidence: 99%