Evidence map›Paper›PMID 36015229›Full record

ArticlePharmaceutics2022

A New Control Strategy for High-Pressure Homogenization to Improve the Safety of Injectable Lipid Emulsions.

Carsten Grumbach, Volker Krüger, Peter Czermak

Abstract read
In one paragraph

Article in Pharmaceutics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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

3 authors.

Carsten GrumbachInstitute of Bioprocess Engineering and Pharmaceutical Technology, Technische Hochschule Mittelhessen, University of Applied Sciences, Wiesenstrasse 14, 35390 Giessen, Germany.
Volker KrügerB. Braun SE, Carl-Braun-Strasse 1, 34212 Melsungen, Germany.
Peter CzermakInstitute of Bioprocess Engineering and Pharmaceutical Technology, Technische Hochschule Mittelhessen, University of Applied Sciences, Wiesenstrasse 14, 35390 Giessen, Germany.ORCID 0000-0001-7485-500X

Funding

B Braun SE Research ContractUniversity of Applied Sciences Central Hesse Research Fund
6 · The paper itself

Abstract

Intravenous lipid emulsions are biocompatible formulations used as clinical nutrition products and lipid-based delivery systems for sparingly soluble drugs. However, the particle-size distribution is associated with risks of embolism. Accordingly, the mean particle diameter (MPD) and particle-distribution tailing (characterized as the pFAT5 value) are critical quality attributes that ensure patient safety. Compliance with the limits stated in the United States Pharmacopoeia is ensured by high-pressure homogenization, the final step of the manufacturing process. The US Food and Drug Administration's Quality-by-Design approach requires a control strategy based on deep process understanding to ensure that products have a consistent and predefined quality. Here we investigated the process parameters of a jet-valve high-pressure homogenizer, specifically their effect on the MPD, pFAT5 value and droplet count (determined by microscopy) during the production of a Lipofundin MCT/LCT 20% formulation. We provide deep insight into droplet breakup and coalescence behavior when varying the process pressure, emulsion temperature and number of homogenization cycles. We found that high shear forces are not required to reduce the pFAT5 value of the particle distribution. Finally, we derived a control strategy for a rapid and cost-efficient two-cycle process that ensures patient safety over a large control space.

Indexed as

counter-jet valvehigh-pressure homogenizerinjectable lipid emulsionsmicrofluidizernano-emulsionsparenteral fat emulsions

Identifiers

PMID36015229
PMCPMC9412542

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Registered trials

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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.