Elucidation of the Molecular Mechanism of Wet Granulation for Pharmaceutical Standard Formulations in a High-Speed Shear Mixer Using Near-Infrared Spectroscopy
The granulation process of pharmaceutical standard formulation in a high-speed shear wet granulation (HSWG) was measured by in-line near-infrared spectroscopy (NIRS) and agitation power consumption (APC) methods. The F-1, F-2, and F-3 formulations (500 g) contained 96% <i>w</i>/<i>...
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doaj-6141fdedc43a42e9a38b97536a1789cd2020-11-25T04:00:23ZengMDPI AGPharmaceuticals1424-82472020-08-011322622610.3390/ph13090226Elucidation of the Molecular Mechanism of Wet Granulation for Pharmaceutical Standard Formulations in a High-Speed Shear Mixer Using Near-Infrared SpectroscopyRyo Omata0Yusuke Hattori1Tetsuo Sasaki2Tomoaki Sakamoto3Makoto Otsuka4Faculty of Pharmacy, Musashino University, 1-1-20 Shinmachi, Nishi-Tokyo, Tokyo 202-8585, JapanFaculty of Pharmacy, Musashino University, 1-1-20 Shinmachi, Nishi-Tokyo, Tokyo 202-8585, JapanGraduate School of Medical Photonics, Shizuoka University, 3-5-1 Jyohoku, Naka-ku, Hamamatsu, Shizuoka 432-8561, JapanDivision of Drugs, National Institute of Health Sciences, 3-25-26 Tonomachi, Kawasaki-ku, Kawasaki City, Kanagawa 210-9501, JapanFaculty of Pharmacy, Musashino University, 1-1-20 Shinmachi, Nishi-Tokyo, Tokyo 202-8585, JapanThe granulation process of pharmaceutical standard formulation in a high-speed shear wet granulation (HSWG) was measured by in-line near-infrared spectroscopy (NIRS) and agitation power consumption (APC) methods. The F-1, F-2, and F-3 formulations (500 g) contained 96% <i>w</i>/<i>w</i> α-lactose monohydrate (LA), potato starch (PS), and a LA:PS = 7:3 mixture, respectively, and all the formulations contained 4% <i>w/w</i> hydroxypropyl cellulose. While adding purified water at 10 mL/min, the sample powder was mixed. The calibration models to measure the amount of binding water (Wa) and APC of the HSWG formulations were established based on NIRS of the samples measured for 60 min by partial least-squares regression analysis (PLS). Molecular interaction related to APC between the particle surface and binding liquor was analyzed based on NIRS. The predicted values of Wa and APC for all formulations were superimposed with the measured values on a straight line, respectively. The regression vector (RV) of the calibration model for Wa indicated the chemical information of all the water in the samples. In contrast, the RV for APC suggested that APC changes in the processes are related to powder aggregation because of surface tension of binding water between particles.https://www.mdpi.com/1424-8247/13/9/226high-speed shear wet granulationagitation power consumptionmonitoring by in-line near-infrared spectroscopypartial least-squares regressionregression vectorsparticle aggregation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ryo Omata Yusuke Hattori Tetsuo Sasaki Tomoaki Sakamoto Makoto Otsuka |
spellingShingle |
Ryo Omata Yusuke Hattori Tetsuo Sasaki Tomoaki Sakamoto Makoto Otsuka Elucidation of the Molecular Mechanism of Wet Granulation for Pharmaceutical Standard Formulations in a High-Speed Shear Mixer Using Near-Infrared Spectroscopy Pharmaceuticals high-speed shear wet granulation agitation power consumption monitoring by in-line near-infrared spectroscopy partial least-squares regression regression vectors particle aggregation |
author_facet |
Ryo Omata Yusuke Hattori Tetsuo Sasaki Tomoaki Sakamoto Makoto Otsuka |
author_sort |
Ryo Omata |
title |
Elucidation of the Molecular Mechanism of Wet Granulation for Pharmaceutical Standard Formulations in a High-Speed Shear Mixer Using Near-Infrared Spectroscopy |
title_short |
Elucidation of the Molecular Mechanism of Wet Granulation for Pharmaceutical Standard Formulations in a High-Speed Shear Mixer Using Near-Infrared Spectroscopy |
title_full |
Elucidation of the Molecular Mechanism of Wet Granulation for Pharmaceutical Standard Formulations in a High-Speed Shear Mixer Using Near-Infrared Spectroscopy |
title_fullStr |
Elucidation of the Molecular Mechanism of Wet Granulation for Pharmaceutical Standard Formulations in a High-Speed Shear Mixer Using Near-Infrared Spectroscopy |
title_full_unstemmed |
Elucidation of the Molecular Mechanism of Wet Granulation for Pharmaceutical Standard Formulations in a High-Speed Shear Mixer Using Near-Infrared Spectroscopy |
title_sort |
elucidation of the molecular mechanism of wet granulation for pharmaceutical standard formulations in a high-speed shear mixer using near-infrared spectroscopy |
publisher |
MDPI AG |
series |
Pharmaceuticals |
issn |
1424-8247 |
publishDate |
2020-08-01 |
description |
The granulation process of pharmaceutical standard formulation in a high-speed shear wet granulation (HSWG) was measured by in-line near-infrared spectroscopy (NIRS) and agitation power consumption (APC) methods. The F-1, F-2, and F-3 formulations (500 g) contained 96% <i>w</i>/<i>w</i> α-lactose monohydrate (LA), potato starch (PS), and a LA:PS = 7:3 mixture, respectively, and all the formulations contained 4% <i>w/w</i> hydroxypropyl cellulose. While adding purified water at 10 mL/min, the sample powder was mixed. The calibration models to measure the amount of binding water (Wa) and APC of the HSWG formulations were established based on NIRS of the samples measured for 60 min by partial least-squares regression analysis (PLS). Molecular interaction related to APC between the particle surface and binding liquor was analyzed based on NIRS. The predicted values of Wa and APC for all formulations were superimposed with the measured values on a straight line, respectively. The regression vector (RV) of the calibration model for Wa indicated the chemical information of all the water in the samples. In contrast, the RV for APC suggested that APC changes in the processes are related to powder aggregation because of surface tension of binding water between particles. |
topic |
high-speed shear wet granulation agitation power consumption monitoring by in-line near-infrared spectroscopy partial least-squares regression regression vectors particle aggregation |
url |
https://www.mdpi.com/1424-8247/13/9/226 |
work_keys_str_mv |
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