Evidence map›Paper›PMID 36741428›Full record

ArticlePNAS nexus2022

Statistical electromagnetics for industrial pharmaceutical lyophilization.

Ahmed Abdelraheem, Rishabh Tukra, Petr Kazarin, Michael D Sinanis, Elizabeth M Topp, Alina Alexeenko, Dimitrios Peroulis

Abstract read
In one paragraph

Article in PNAS nexus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Emerging Manufacturing Technologies in Freeze-Drying of Pharmaceuticals.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Ahmed AbdelraheemBirck Nanotechnology Center, Purdue University, 1205 W State St, West Lafayette, 47907 IN, USA.ORCID https://orcid.org/0000-0003-4287-5422
Rishabh TukraBirck Nanotechnology Center, Purdue University, 1205 W State St, West Lafayette, 47907 IN, USA.
Petr KazarinBirck Nanotechnology Center, Purdue University, 1205 W State St, West Lafayette, 47907 IN, USA.
Michael D SinanisBirck Nanotechnology Center, Purdue University, 1205 W State St, West Lafayette, 47907 IN, USA.ORCID https://orcid.org/0000-0002-4477-5778
Elizabeth M ToppBirck Nanotechnology Center, Purdue University, 1205 W State St, West Lafayette, 47907 IN, USA.
Alina AlexeenkoBirck Nanotechnology Center, Purdue University, 1205 W State St, West Lafayette, 47907 IN, USA.ORCID https://orcid.org/0000-0003-2123-9064
Dimitrios PeroulisBirck Nanotechnology Center, Purdue University, 1205 W State St, West Lafayette, 47907 IN, USA.ORCID https://orcid.org/0000-0002-4993-1653

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

applied electromagneticsheating transferlyophilizationpharmaceutical manufacturingRF/microwave

Identifiers

PMID36741428
PMCPMC9896896

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.