Evidence map›Paper›PMID 36432675›Full record

ArticlePharmaceutics2022

Federica Sommonte, Edward Weaver, Essyrose Mathew, Nunzio Denora, Dimitrios A Lamprou

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 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
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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

5 authors.

Federica SommonteDepartment of Pharmacy-Pharmaceutical Sciences, University of Bari Aldo Moro, Orabona Street, 4, 70125 Bari, Italy.
Edward WeaverSchool of Pharmacy, Queen's University Belfast, Belfast BT9 7BL, UK.ORCID 0000-0002-5539-8787
Essyrose MathewSchool of Pharmacy, Queen's University Belfast, Belfast BT9 7BL, UK.ORCID 0000-0002-3443-3125
Nunzio DenoraDepartment of Pharmacy-Pharmaceutical Sciences, University of Bari Aldo Moro, Orabona Street, 4, 70125 Bari, Italy.ORCID 0000-0002-7756-7828
Dimitrios A LamprouSchool of Pharmacy, Queen's University Belfast, Belfast BT9 7BL, UK.ORCID 0000-0002-8740-1661

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nanotechnology applications have emerged as one of the most actively researched areas in recent years. As a result, substantial study into nanoparticulate lipidic systems and liposomes (LPs) has been conducted. Regardless of the advantages, various challenges involving traditional manufacturing processes have hampered their expansion. Here, the combination of microfluidic technology (MF) and 3D printing (3DP) digital light processing (DLP) was fruitfully investigated in the creation of novel, previously unexplored "diamond shaped" devices suitable for the production of LPs carrying lysozyme as model drug. Computer-aided design (CAD) software was used designing several MF devices with significantly multiple and diverse geometries. These were printed using a high-performance DLP 3DP, resulting in extremely high-resolution chips that were tested to optimize the experimental condition of MF-based LPs. Monodisperse narrow-sized lysozyme-loaded PEGylated LPs were produced using in-house devices. The developed formulations succumbed to stability tests to determine their consistency, and then an encapsulation efficacy (EE) study was performed, yielding good findings. The in vitro release study indicated that lysozyme-loaded LPs could release up to 93% of the encapsulated cargo within 72 h. Therefore, the proficiency of the association between MF and 3DP was demonstrated, revealing a potential growing synergy.

Indexed as

3D printingadditive manufacturingchipsdigital light processingenzymesliposomesmicrofluidics

Identifiers

PMID36432675
PMCPMC9699034

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.