Evidence map›Paper›PMID 29596352›Full record

ArticleNanomaterials (Basel, Switzerland)2018

Electrospun Composites of Polycaprolactone and Porous Silicon Nanoparticles for the Tunable Delivery of Small Therapeutic Molecules.

Steven J P McInnes, Thomas J Macdonald, Ivan P Parkin, Thomas Nann, Nicolas H Voelcker

Abstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2018. 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. Porous Silicon Nanoparticles Embedded in Poly(lactic-Advanced functional materials · 2020
    Article
  2. Porous Si-SiONanomaterials (Basel, Switzerland) · 2020
    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

5 authors.

Steven J P McInnesFuture Industries Institute, University of South Australia, Mawson Lakes 5095, Australia. steven.mcinnes@unisa.edu.au.
Thomas J MacdonaldDepartment of Chemistry, University College London, London WC1E 6BT, UK. tom.macdonald@ucl.ac.uk.
Ivan P ParkinDepartment of Chemistry, University College London, London WC1E 6BT, UK. i.p.parkin@ucl.ac.uk.
Thomas NannMacDiarmid Institute for Advanced Materials and Nanotechnology, School of Chemical and Physical Sciences, Victoria University of Wellington, Wellington 6012, New Zealand. thomas.nann@vuw.ac.nz.ORCID 0000-0002-2723-6553
Nicolas H VoelckerMonash Institute of Pharmaceutical Sciences, Monash University, Parkville 3052, Australia. nicolas.voelcker@monash.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This report describes the use of an electrospun composite of poly(ε-caprolactone) (PCL) fibers and porous silicon (pSi) nanoparticles (NPs) as an effective system for the tunable delivery of camptothecin (CPT), a small therapeutic molecule. Both materials are biodegradable, abundant, low-cost, and most importantly, have no known cytotoxic effects. The composites were treated with and without sodium hydroxide (NaOH) to investigate the wettability of the porous network for drug release and cell viability measurements. CPT release and subsequent cell viability was also investigated. We observed that the cell death rate was not only affected by the addition of our CPT carrier, pSi, but also by increasing the rate of dissolution via treatment with NaOH. This is the first example of loading pSi NPs as a therapeutics nanocarrier into electronspun PCL fibers and this system opens up new possibilities for the delivery of molecular therapeutics.

Indexed as

drug deliveryelectrospinningpoly(ε-caprolactone)porous silicon

Identifiers

PMID29596352
PMCPMC5923535

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.