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Statistical electromagnetics for industrial pharmaceutical lyophilization
Lyophilization is a common unit operation in pharmaceutical manufacturing but is a prolonged vacuum drying process with poor energy utilization. Microwave-assisted vacuum drying has been investigated to accelerate the lyophilization process. However, the literature lacks methodical approaches that c...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9896896/ https://www.ncbi.nlm.nih.gov/pubmed/36741428 http://dx.doi.org/10.1093/pnasnexus/pgac052 |
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author | Abdelraheem, Ahmed Tukra, Rishabh Kazarin, Petr Sinanis, Michael D Topp, Elizabeth M Alexeenko, Alina Peroulis, Dimitrios |
author_facet | Abdelraheem, Ahmed Tukra, Rishabh Kazarin, Petr Sinanis, Michael D Topp, Elizabeth M Alexeenko, Alina Peroulis, Dimitrios |
author_sort | Abdelraheem, Ahmed |
collection | PubMed |
description | Lyophilization is a common unit operation in pharmaceutical manufacturing but is a prolonged vacuum drying process with poor energy utilization. Microwave-assisted vacuum drying has been investigated to accelerate the lyophilization process. However, the literature lacks methodical approaches that consider the lyophilizer, the lyophilizate, the microwave power uniformity, the resulting heat uniformity, and the scalability. We present a microwave–vacuum drying method based on the statistical electromagnetics theory. The method offers an optimum frequency selection procedure that accounts for the lyophilizer and the lyophilizate. The 2.45 GHz frequency conventionally utilized is proven to be far from optimum. The method is applied in a microwave-assisted heating configuration to pharmaceutical excipients (sucrose and mannitol) and different myoglobin formulations in a lab-scale lyophilizer. At 18 GHz frequency and 60 W microwave power, the method shows nearly three times speed-up in the primary drying stage of sucrose relative to the conventional lyophilization cycle for typical laboratory batches. The uniformity of the microwave power inside the chamber is controlled within ± 1 dB. The resulting heating uniformity measured through residual moisture analysis shows 12.7% of normalized SD of moisture level across the batch in a microwave-assisted cycle as opposed to 15.3% in the conventional cycle. Conventional and microwave lyophilized formulations are characterized using solid-state hydrogen-deuterium exchange-mass spectrometry (ssHDX-MS), solid-state Fourier transform infrared spectroscopy (ssFTIR), circular dichroism (CD), and accelerated stability testing (AST). Characterization shows comparable protein structure and stability. Heat and mass transfer simulations quantify further effects of optimal volumetric heating via the high-frequency statistical microwave heating. |
format | Online Article Text |
id | pubmed-9896896 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-98968962023-02-04 Statistical electromagnetics for industrial pharmaceutical lyophilization Abdelraheem, Ahmed Tukra, Rishabh Kazarin, Petr Sinanis, Michael D Topp, Elizabeth M Alexeenko, Alina Peroulis, Dimitrios PNAS Nexus Physical Sciences and Engineering Lyophilization is a common unit operation in pharmaceutical manufacturing but is a prolonged vacuum drying process with poor energy utilization. Microwave-assisted vacuum drying has been investigated to accelerate the lyophilization process. However, the literature lacks methodical approaches that consider the lyophilizer, the lyophilizate, the microwave power uniformity, the resulting heat uniformity, and the scalability. We present a microwave–vacuum drying method based on the statistical electromagnetics theory. The method offers an optimum frequency selection procedure that accounts for the lyophilizer and the lyophilizate. The 2.45 GHz frequency conventionally utilized is proven to be far from optimum. The method is applied in a microwave-assisted heating configuration to pharmaceutical excipients (sucrose and mannitol) and different myoglobin formulations in a lab-scale lyophilizer. At 18 GHz frequency and 60 W microwave power, the method shows nearly three times speed-up in the primary drying stage of sucrose relative to the conventional lyophilization cycle for typical laboratory batches. The uniformity of the microwave power inside the chamber is controlled within ± 1 dB. The resulting heating uniformity measured through residual moisture analysis shows 12.7% of normalized SD of moisture level across the batch in a microwave-assisted cycle as opposed to 15.3% in the conventional cycle. Conventional and microwave lyophilized formulations are characterized using solid-state hydrogen-deuterium exchange-mass spectrometry (ssHDX-MS), solid-state Fourier transform infrared spectroscopy (ssFTIR), circular dichroism (CD), and accelerated stability testing (AST). Characterization shows comparable protein structure and stability. Heat and mass transfer simulations quantify further effects of optimal volumetric heating via the high-frequency statistical microwave heating. Oxford University Press 2022-05-16 /pmc/articles/PMC9896896/ /pubmed/36741428 http://dx.doi.org/10.1093/pnasnexus/pgac052 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of National Academy of Sciences. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Physical Sciences and Engineering Abdelraheem, Ahmed Tukra, Rishabh Kazarin, Petr Sinanis, Michael D Topp, Elizabeth M Alexeenko, Alina Peroulis, Dimitrios Statistical electromagnetics for industrial pharmaceutical lyophilization |
title | Statistical electromagnetics for industrial pharmaceutical lyophilization |
title_full | Statistical electromagnetics for industrial pharmaceutical lyophilization |
title_fullStr | Statistical electromagnetics for industrial pharmaceutical lyophilization |
title_full_unstemmed | Statistical electromagnetics for industrial pharmaceutical lyophilization |
title_short | Statistical electromagnetics for industrial pharmaceutical lyophilization |
title_sort | statistical electromagnetics for industrial pharmaceutical lyophilization |
topic | Physical Sciences and Engineering |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9896896/ https://www.ncbi.nlm.nih.gov/pubmed/36741428 http://dx.doi.org/10.1093/pnasnexus/pgac052 |
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