Visualization and prediction of porosity in roller compacted ribbonswith near infrared chemical imaging (NIR-CI)

Milad Rouhi Khorasani; Jose Manuel Amigo Rubio; Jørn Sonnergaard; P. Olsen; P. Bertelsen; Jukka Rantanen

doi:10.1016/j.jpba.2015.02.008

Visualization and prediction of porosity in roller compacted ribbonswith near infrared chemical imaging (NIR-CI)

Milad Rouhi Khorasani, Jose Manuel Amigo Rubio, Jørn Sonnergaard, P. Olsen, P. Bertelsen, Jukka Rantanen

Food Analytics and Biotechnology

34 Citations (Scopus)

Abstract

The porosity of roller compacted ribbon is recognized as an important critical quality attribute which has a huge impact on the final product quality. The purpose of this study was to investigate the use of near-infrared chemical imaging (NIR-CI) for porosity estimation of ribbons produced at different roll pressures. Two off-line methods were utilized as reference methods. The relatively fast method (oil absorption) was comparable with the more time-consuming mercury intrusion method (R2 = 0.98). Therefore, the oil method was selected as the reference off line method. It was confirmed by both reference methods that ribbons compressed at a higher pressure resulted in a lower mean porosity. Using NIR-CI in combination with multivariate data analysis it was possible to visualize and predict the porosity distribution of the ribbons. This approach is considered important for process monitoring and control of continuously operating roller compaction line.

Original language	English
Journal	Journal of Pharmaceutical and Biomedical Analysis
Volume	109
Pages (from-to)	11–17
Number of pages	7
ISSN	0731-7085
DOIs	https://doi.org/10.1016/j.jpba.2015.02.008
Publication status	Published - 1 May 2015

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title = "Visualization and prediction of porosity in roller compacted ribbonswith near infrared chemical imaging (NIR-CI)",

abstract = "The porosity of roller compacted ribbon is recognized as an important critical quality attribute which has a huge impact on the final product quality. The purpose of this study was to investigate the use of near-infrared chemical imaging (NIR-CI) for porosity estimation of ribbons produced at different roll pressures. Two off-line methods were utilized as reference methods. The relatively fast method (oil absorption) was comparable with the more time-consuming mercury intrusion method (R2 = 0.98). Therefore, the oil method was selected as the reference off line method. It was confirmed by both reference methods that ribbons compressed at a higher pressure resulted in a lower mean porosity. Using NIR-CI in combination with multivariate data analysis it was possible to visualize and predict the porosity distribution of the ribbons. This approach is considered important for process monitoring and control of continuously operating roller compaction line.",

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doi = "10.1016/j.jpba.2015.02.008",

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T1 - Visualization and prediction of porosity in roller compacted ribbonswith near infrared chemical imaging (NIR-CI)

AU - Khorasani, Milad Rouhi

AU - Amigo Rubio, Jose Manuel

AU - Sonnergaard, Jørn

AU - Olsen, P.

AU - Bertelsen, P.

AU - Rantanen, Jukka

PY - 2015/5/1

Y1 - 2015/5/1

N2 - The porosity of roller compacted ribbon is recognized as an important critical quality attribute which has a huge impact on the final product quality. The purpose of this study was to investigate the use of near-infrared chemical imaging (NIR-CI) for porosity estimation of ribbons produced at different roll pressures. Two off-line methods were utilized as reference methods. The relatively fast method (oil absorption) was comparable with the more time-consuming mercury intrusion method (R2 = 0.98). Therefore, the oil method was selected as the reference off line method. It was confirmed by both reference methods that ribbons compressed at a higher pressure resulted in a lower mean porosity. Using NIR-CI in combination with multivariate data analysis it was possible to visualize and predict the porosity distribution of the ribbons. This approach is considered important for process monitoring and control of continuously operating roller compaction line.

AB - The porosity of roller compacted ribbon is recognized as an important critical quality attribute which has a huge impact on the final product quality. The purpose of this study was to investigate the use of near-infrared chemical imaging (NIR-CI) for porosity estimation of ribbons produced at different roll pressures. Two off-line methods were utilized as reference methods. The relatively fast method (oil absorption) was comparable with the more time-consuming mercury intrusion method (R2 = 0.98). Therefore, the oil method was selected as the reference off line method. It was confirmed by both reference methods that ribbons compressed at a higher pressure resulted in a lower mean porosity. Using NIR-CI in combination with multivariate data analysis it was possible to visualize and predict the porosity distribution of the ribbons. This approach is considered important for process monitoring and control of continuously operating roller compaction line.

U2 - 10.1016/j.jpba.2015.02.008

DO - 10.1016/j.jpba.2015.02.008

M3 - Journal article

C2 - 25746502

SN - 0731-7085

VL - 109

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EP - 17

JO - Journal of Pharmaceutical and Biomedical Analysis

JF - Journal of Pharmaceutical and Biomedical Analysis

ER -

Visualization and prediction of porosity in roller compacted ribbonswith near infrared chemical imaging (NIR-CI)

Abstract

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