Evidence map›Paper›PMID 28342057›Full record

ArticlePharmaceutical research2017

Preparation of Drug-Loaded PLGA-PEG Nanoparticles by Membrane-Assisted Nanoprecipitation.

Airama Albisa, Emma Piacentini, Victor Sebastian, Manuel Arruebo, Jesus Santamaria, Lidietta Giorno

Abstract read
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In one paragraph

Article in Pharmaceutical research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Poly(d,l-lactide-ACS applied bio materials · 2025
    Article
  4. Article
  5. Article
  6. Development andRSC advances · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Virus-Mimicking Polymer Nanoparticles Targeting CD169ACS applied materials & interfaces · 2022
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Continuous in-line homogenization process for scale-up production of naltrexone-loaded PLGA microparticles.Journal of controlled release : official journal of the Controlled Release Society · 2020
    Article
  17. Article
  18. Article
  19. 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

6 authors.

Airama AlbisaDepartment of Chemical & Environmental Engineering & Nanoscience Institute of Aragon (INA),, University of Zaragoza,, Mariano Esquillor edif. I+D,, 50018, Zaragoza, Spain.
Emma PiacentiniInstitute on Membrane Technology,, National Research Council ITM-CNR, Via P. Bucci 17/C, 87036, Rende, CS, Italy. e.piacentini@itm.cnr.it.ORCID 0000-0002-0471-1104
Victor SebastianDepartment of Chemical & Environmental Engineering & Nanoscience Institute of Aragon (INA),, University of Zaragoza,, Mariano Esquillor edif. I+D,, 50018, Zaragoza, Spain. victorse@unizar.es.
Manuel ArrueboDepartment of Chemical & Environmental Engineering & Nanoscience Institute of Aragon (INA),, University of Zaragoza,, Mariano Esquillor edif. I+D,, 50018, Zaragoza, Spain.
Jesus SantamariaDepartment of Chemical & Environmental Engineering & Nanoscience Institute of Aragon (INA),, University of Zaragoza,, Mariano Esquillor edif. I+D,, 50018, Zaragoza, Spain.
Lidietta GiornoInstitute on Membrane Technology,, National Research Council ITM-CNR, Via P. Bucci 17/C, 87036, Rende, CS, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe aim of this work is to develop a scalable continuous system suitable for the formulation of polymeric nanoparticles using membrane-assisted nanoprecipitation. One of the hurdles to overcome in the use of nanostructured materials as drug delivery vectors is their availability at industrial scale. Innovation in process technology is required to translate laboratory production into mass production while preserving their desired nanoscale characteristics.

methodsMembrane-assisted nanoprecipitation has been used for the production of Poly[(D,L lactide-co-glycolide)-co-poly ethylene glycol] diblock) (PLGA-PEG) nanoparticles using a pulsed back-and-forward flow arrangement. Tubular Shirasu porous glass membranes (SPG) with pore diameters of 1 and 0.2 μm were used to control the mixing process during the nanoprecipitation reaction.

resultsThe size of the resulting PLGA-PEG nanoparticles could be readily tuned in the range from 250 to 400 nm with high homogeneity (PDI lower than 0.2) by controlling the dispersed phase volume/continuous phase volume ratio. Dexamethasone was successfully encapsulated in a continuous process, achieving an encapsulation efficiency and drug loading efficiency of 50% and 5%, respectively. The dexamethasone was released from the nanoparticles following Fickian kinetics.

conclusionsThe method allowed to produce polymeric nanoparticles for drug delivery with a high productivity, reproducibility and easy scalability.

Indexed as

DexamethasoneDrug CarriersDrug LiberationLactic AcidNanoparticlesNanotechnologyParticle SizePolyethylene GlycolsPolyglycolic AcidPolylactic Acid-Polyglycolic Acid CopolymerSurface PropertiesDexamethasoneDrug CarriersLactic AcidPolyethylene GlycolsPolyglycolic AcidPolylactic Acid-Polyglycolic Acid Copolymerdexamethasonemembrane emulsificationnanoparticlesnanoprecipitationPLGA-peg

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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.