Evidence map›Paper›PMID 25788136›Full record

ArticleDrug delivery and translational research2013

Towards scale-up and regulatory shelf-stability testing of curcumin encapsulated polyester nanoparticles.

Charitra N Grama, Vinod P Venkatpurwar, Dimitrios A Lamprou, M N V Ravi Kumar

Abstract read
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Article in Drug delivery and translational research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

4 authors.

Charitra N GramaStrathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, 161 Cathedral Street, Glasgow, G4 0RE, Scotland, UK.
Vinod P Venkatpurwar
Dimitrios A Lamprou
M N V Ravi Kumar

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study reports scale-up and shelf-stability of curcumin encapsulated poly(lactic acid-co-glycolic acid) (PLGA) nanoparticles. The curcumin encapsulated PLGA nanoparticles were prepared by emulsification solvent evaporation/diffusion, and large quantities were made by varying the homogenisation time (5, 15 and 30 min). The particle size decreased as the homogenisation duration increased from 5 to 30 min, and the particles were spherical as confirmed by atomic force microscopy. For the large-scale preparations, the mean particles size was found to be 288.7 ± 3.4 (polydispersity index 0.15 ± 0.01) with curcumin entrapment 52.5 ± 4.3 %, which were comparable to the lab-scale preparations. The curcumin encapsulated nanoparticles were freeze-dried using sucrose (5 %, w/v) as a cryoprotectant. The freeze-dried nanoparticles were subjected to 6-month stability study as per the International Conference on Harmonisation guideline at room temperature and refrigerated storage conditions. Intermediate sampling was done (monthly), and the nanoparticles were thoroughly characterised for particle size, entrapment efficiency, surface morphology and crystallinity, which were compared to fresh preparations. The curcumin encapsulated PLGA nanoparticles were found to be stable at refrigerated as well as room temperature storage test conditions indicated by their particle characteristics. X-ray diffraction results confirm amorphous nature of curcumin on nano-encapsulation that stays intact after freeze drying and 6-month stability testing. Together these data offer possibility of producing large quantities of polymer nanoparticles that are suitable for room as well as refrigerated storage conditions opening up possibilities to conduct repeated dosings in a chronic setting or regulatory toxicology studies of such nanomedicines.

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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.