Multispectral UV imaging for surface analysis of MUPS tablets with special focus on the pellet distribution

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Multispectral UV imaging for surface analysis of MUPS tablets with special focus on the pellet distribution. / Novikova, Anna; Carstensen, Jens M; Rades, Thomas; Leopold, Prof Dr Claudia S.

In: International Journal of Pharmaceutics, Vol. 515, No. 1-2, 01.10.2016, p. 374-383.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Novikova, A, Carstensen, JM, Rades, T & Leopold, PDCS 2016, 'Multispectral UV imaging for surface analysis of MUPS tablets with special focus on the pellet distribution', International Journal of Pharmaceutics, vol. 515, no. 1-2, pp. 374-383. https://doi.org/10.1016/j.ijpharm.2016.09.087

APA

Novikova, A., Carstensen, J. M., Rades, T., & Leopold, P. D. C. S. (2016). Multispectral UV imaging for surface analysis of MUPS tablets with special focus on the pellet distribution. International Journal of Pharmaceutics, 515(1-2), 374-383. https://doi.org/10.1016/j.ijpharm.2016.09.087

Vancouver

Novikova A, Carstensen JM, Rades T, Leopold PDCS. Multispectral UV imaging for surface analysis of MUPS tablets with special focus on the pellet distribution. International Journal of Pharmaceutics. 2016 Oct 1;515(1-2):374-383. https://doi.org/10.1016/j.ijpharm.2016.09.087

Author

Novikova, Anna ; Carstensen, Jens M ; Rades, Thomas ; Leopold, Prof Dr Claudia S. / Multispectral UV imaging for surface analysis of MUPS tablets with special focus on the pellet distribution. In: International Journal of Pharmaceutics. 2016 ; Vol. 515, No. 1-2. pp. 374-383.

Bibtex

@article{00b791358b5c4bbda833da73cc6b46e9,
title = "Multispectral UV imaging for surface analysis of MUPS tablets with special focus on the pellet distribution",
abstract = "In the present study the applicability of multispectral UV imaging in combination with multivariate image analysis for surface evaluation of MUPS tablets was investigated with respect to the differentiation of the API pellets from the excipients matrix, estimation of the drug content as well as pellet distribution, and influence of the coating material and tablet thickness on the predictive model. Different formulations consisting of coated drug pellets with two coating polymers (Aquacoat({\textregistered}) ECD and Eudragit({\textregistered}) NE 30 D) at three coating levels each were compressed to MUPS tablets with various amounts of coated pellets and different tablet thicknesses. The coated drug pellets were clearly distinguishable from the excipients matrix using a partial least squares approach regardless of the coating layer thickness and coating material used. Furthermore, the number of the detected drug pellets on the tablet surface allowed an estimation of the true drug content in the respective MUPS tablet. In addition, the pellet distribution in the MUPS formulations could be estimated by UV image analysis of the tablet surface. In conclusion, this study revealed that UV imaging in combination with multivariate image analysis is a promising approach for the automatic quality control of MUPS tablets during the manufacturing process.",
author = "Anna Novikova and Carstensen, {Jens M} and Thomas Rades and Leopold, {Prof Dr Claudia S}",
note = "Copyright {\textcopyright} 2016 Elsevier B.V. All rights reserved.",
year = "2016",
month = oct,
day = "1",
doi = "10.1016/j.ijpharm.2016.09.087",
language = "English",
volume = "515",
pages = "374--383",
journal = "International Journal of Pharmaceutics",
issn = "0378-5173",
publisher = "Elsevier",
number = "1-2",

}

RIS

TY - JOUR

T1 - Multispectral UV imaging for surface analysis of MUPS tablets with special focus on the pellet distribution

AU - Novikova, Anna

AU - Carstensen, Jens M

AU - Rades, Thomas

AU - Leopold, Prof Dr Claudia S

N1 - Copyright © 2016 Elsevier B.V. All rights reserved.

PY - 2016/10/1

Y1 - 2016/10/1

N2 - In the present study the applicability of multispectral UV imaging in combination with multivariate image analysis for surface evaluation of MUPS tablets was investigated with respect to the differentiation of the API pellets from the excipients matrix, estimation of the drug content as well as pellet distribution, and influence of the coating material and tablet thickness on the predictive model. Different formulations consisting of coated drug pellets with two coating polymers (Aquacoat(®) ECD and Eudragit(®) NE 30 D) at three coating levels each were compressed to MUPS tablets with various amounts of coated pellets and different tablet thicknesses. The coated drug pellets were clearly distinguishable from the excipients matrix using a partial least squares approach regardless of the coating layer thickness and coating material used. Furthermore, the number of the detected drug pellets on the tablet surface allowed an estimation of the true drug content in the respective MUPS tablet. In addition, the pellet distribution in the MUPS formulations could be estimated by UV image analysis of the tablet surface. In conclusion, this study revealed that UV imaging in combination with multivariate image analysis is a promising approach for the automatic quality control of MUPS tablets during the manufacturing process.

AB - In the present study the applicability of multispectral UV imaging in combination with multivariate image analysis for surface evaluation of MUPS tablets was investigated with respect to the differentiation of the API pellets from the excipients matrix, estimation of the drug content as well as pellet distribution, and influence of the coating material and tablet thickness on the predictive model. Different formulations consisting of coated drug pellets with two coating polymers (Aquacoat(®) ECD and Eudragit(®) NE 30 D) at three coating levels each were compressed to MUPS tablets with various amounts of coated pellets and different tablet thicknesses. The coated drug pellets were clearly distinguishable from the excipients matrix using a partial least squares approach regardless of the coating layer thickness and coating material used. Furthermore, the number of the detected drug pellets on the tablet surface allowed an estimation of the true drug content in the respective MUPS tablet. In addition, the pellet distribution in the MUPS formulations could be estimated by UV image analysis of the tablet surface. In conclusion, this study revealed that UV imaging in combination with multivariate image analysis is a promising approach for the automatic quality control of MUPS tablets during the manufacturing process.

U2 - 10.1016/j.ijpharm.2016.09.087

DO - 10.1016/j.ijpharm.2016.09.087

M3 - Journal article

C2 - 27702695

VL - 515

SP - 374

EP - 383

JO - International Journal of Pharmaceutics

JF - International Journal of Pharmaceutics

SN - 0378-5173

IS - 1-2

ER -

ID: 168931864