Evidence map›Paper›PMID 41847094›Full record

ReviewNanotechnology, science and applications2026

Nanoparticles as a Promising Approach for Improving Skin Anti-Aging Activity.

Yolanda Putri Aloenida, Mayang Kusuma Dewi, Muhaimin Muhaimin, Anis Yohana Chaerunisaa

Abstract readReview
In one paragraph

Review in Nanotechnology, science and applications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Yolanda Putri AloenidaDepartment of Pharmaceutics and Pharmaceutical Technology, Faculty of Pharmacy, Universitas Padjadjaran, Sumedang, West Java, Indonesia.ORCID 0009-0000-9322-4932
Mayang Kusuma DewiDepartment of Pharmaceutics and Pharmaceutical Technology, Faculty of Pharmacy, Universitas Padjadjaran, Sumedang, West Java, Indonesia.
Muhaimin MuhaiminDepartment of Pharmaceutical Biology, Faculty of Pharmacy, Universitas Padjadjaran, Sumedang, West Java, Indonesia.ORCID 0000-0002-6269-5931
Anis Yohana ChaerunisaaDepartment of Pharmaceutics and Pharmaceutical Technology, Faculty of Pharmacy, Universitas Padjadjaran, Sumedang, West Java, Indonesia.ORCID 0000-0002-4985-8206

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aging of skin is a multifaceted process influenced by internal factors and external influences. These factors contribute to the breakdown of skin structure, diminished skin resilience, and observable indications of aging. Conventional topical formulations often fail to deliver active chemicals adequately due to the skin's inherent barriers and the solubility and instability of numerous substances. Emerging nanotechnology-based technologies offer a viable solution to these restrictions. This paper analyzes the role of diverse organic and inorganic nanoparticle-based formulations as delivery systems in improving the distribution and efficacy of anti-aging agents. As part of its novelty, this article integrates findings on both synthetic and natural anti-aging compounds, providing a comprehensive comparison of their nano-enabled enhancements findings from in vitro and in vivo models, along with clinical studies. Comparative studies consistently demonstrate that nano-formulations surpass conventional approaches in enhancing antioxidant defense, stimulating collagen synthesis, and suppressing enzymes associated with skin aging.

Indexed as

anti-aging activityantioxidantnanoparticlestopical system delivery

Identifiers

PMID41847094
PMCPMC12989699

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.