Evidence map›Paper›PMID 38797906›Full record

ReviewPharmaceutical nanotechnology2025

Solid Lipid Nanoparticles: A Review of their Biomedical Applications and Preparation.

Mayukh Jana, Ujjwal Kumar Biswas, Chandra Sekhar Patro, Biplab Debnath, Suraj Sharma, Sweet Naskar

Abstract readReview
PubMed Publisher
In one paragraph

Review in Pharmaceutical nanotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
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  7. Review
  8. Responsive biomaterials for therapeutic strategies of hepatocellular carcinoma.Frontiers in bioengineering and biotechnology · 2025
    Review
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.

Mayukh JanaCenturion University of Technology and Management, Odisha, India.
Ujjwal Kumar BiswasSchool of Pharmaceutical Science (SPS), Siksha O Anusandhan (SOA) University, K.8, Kalinga Nagar, Ghatkia, Bhubaneswar, 751003, Odisha, India.
Chandra Sekhar PatroCenturion University of Technology and Management, Odisha, India.
Biplab DebnathBharat Technology, Banitabla, Uluberia, Howrah, West Bengal, India.
Suraj SharmaSikkim Professional College of Pharmaceutical Sciences, Sikkim, India.
Sweet NaskarInstitute of Pharmacy, Kalyani, Nadia, West Bengal, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Solid lipid nanoparticles (SLNs) are gaining significant attention in the pharmaceutical industry due to their biocompatibility and biodegradability, making them a popular functional nanocarrier. SLNs are a popular nanocarrier due to their ability to bypass the spleen and liver, offer high drug stability, and improve bioavailability, sterilization, immobilization, targeted drug release, and biocompatible ingredients. This article discusses various SLN preparation techniques, including high shear homogenization, hot homogenization, cold homogenization, microemulsion-based, solvent evaporation, solvent emulsification-evaporation, supercritical fluid-based, spray drying, double emulsion, and precipitation techniques, focusing on methodological aspects. This review discusses the physicochemical behavior of SLNs, including drug loading, release, particle size, stability, cytotoxicity, and cellular uptake, and their major biomedical applications.

Indexed as

Drug CarriersLipidsNanoparticlesAnimalsDrug Delivery SystemsHumansParticle SizeDrug CarriersLipidsbiomedical applicationsnanocarrierphysicochemical behaviorphysicochemical behavior.preparation techniquesSolid lipid nanoparticles

Identifiers

What OpenQuestion holds

Textmetadata
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.