Evidence map›Paper›PMID 35646193›Full record

ArticleJournal of pharmaceutical innovation2022

Can Liposomes Survive Inkjet Printing? The Effect of Jetting on Key Liposome Attributes for Drug Delivery Applications.

Carolina Alva, Ivan Vidakovic, Barbara Lorber, Anna-Laurence Schachner-Nedherer, Manuel Zettl, Johannes Khinast, Ruth Prassl, Wen-Kai Hsiao

Abstract read
In one paragraph

Article in Journal of pharmaceutical innovation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Carolina AlvaResearch Center Pharmaceutical Engineering GmbH, Graz, Austria.ORCID 0000-0001-8604-9902
Ivan VidakovicGottfried Schatz Research Center for Cell Signaling, Metabolism and Aging, Department of Biophysics, Medical University of Graz, Graz, Austria.ORCID 0000-0001-9987-563X
Barbara LorberFaculty of Technical Chemistry, Chemical and Process Engineering and Biotechnology, Graz University of Technology, Graz, Austria.ORCID 0000-0001-9986-4543
Anna-Laurence Schachner-NedhererGottfried Schatz Research Center for Cell Signaling, Metabolism and Aging, Department of Biophysics, Medical University of Graz, Graz, Austria.ORCID 0000-0002-4122-5762
Manuel ZettlResearch Center Pharmaceutical Engineering GmbH, Graz, Austria.ORCID 0000-0002-2885-7298
Johannes KhinastResearch Center Pharmaceutical Engineering GmbH, Graz, Austria.ORCID 0000-0002-2076-1822
Ruth PrasslGottfried Schatz Research Center for Cell Signaling, Metabolism and Aging, Department of Biophysics, Medical University of Graz, Graz, Austria.ORCID 0000-0002-1010-9494
Wen-Kai HsiaoInstitute for Biomedicine and Health Sciences, Joanneum Research Forschungsgesellschaft mbH, Graz, Austria.ORCID 0000-0003-2699-7681

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Inkjet printing has the potential to enable novel personalized and tailored drug therapies based on liposome and lipid nanoparticles. However, due to the significant shear force exerted on the jetted fluids, its suitability for shear-sensitive materials such as liposomes, has not been verified. We have conducted a proof-of-concept study to examine whether the particle concentration and size distribution of placebo liposomes are affected by common inkjet/dispensing technologies. Methods: We have subjected three types of liposome-containing fluids ("inks") to two different commercial dispensing/jetting technologies, which are relevant to most drug printing approaches. The liposome jetting processes were observed in real-time using strobographic imaging techniques. The phospholipid concentrations and particle size distributions were determined before and after jetting via enzymatic colorimetric and dynamic light scattering methods, respectively. Results: Our results have shown that the jetting dynamics of the liposome inks are well predicted by the established inkjet printing regime map based on their physical properties and the jetting conditions. Importantly, although significant shear forces were confirmed during jetting, the liposome concentrations and particle size distributions in the collected samples remain largely unaffected. Conclusion: These findings, we believe, provide the essential proof-of-concept to encourage further development in this highly topical research area.

Indexed as

Drug delivery systemInkjet printingLipid nanoparticlesLiposomesPersonalized medicine

Identifiers

PMID35646193
PMCPMC9127480

What OpenQuestion holds

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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.