Evidence map›Paper›PMID 41288832›Full record

ArticleBioresources and bioprocessing2025

Formulation and evaluation of ulvan-functionalized cumin oil nanoemulsions for antioxidant, anti-photoaging, and anti-melanogenesis activities in skin cells.

Fang-Ling Liu, Shih-Yuan Fang, Hsiang-Wen Chan, Ming-Chih Fang, Meng-Tsan Chiang, Chung-Hsiung Huang

Abstract read
In one paragraph

Article in Bioresources and bioprocessing, 2025. 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. 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.

Fang-Ling LiuDepartment of Food Science, National Taiwan Ocean University, Keelung, 202301, Taiwan.
Shih-Yuan FangDepartment of Food Science, National Taiwan Ocean University, Keelung, 202301, Taiwan.
Hsiang-Wen ChanDepartment of Food Science, National Taiwan Ocean University, Keelung, 202301, Taiwan.
Ming-Chih FangDepartment of Food Science, National Taiwan Ocean University, Keelung, 202301, Taiwan.
Meng-Tsan ChiangDepartment of Food Science, National Taiwan Ocean University, Keelung, 202301, Taiwan. a0071@mail.ntou.edu.tw.
Chung-Hsiung HuangDepartment of Food Science, National Taiwan Ocean University, Keelung, 202301, Taiwan. huangch@mail.ntou.edu.tw.ORCID http://orcid.org/0000-0002-2295-6412

Funding

National Science and Technology Council MOST 109-2221-E-019-032-MY3National Science and Technology Council NSTC 113-2320-B019-004-MY3
6 · The paper itself

Abstract

Growing interest in natural skincare solutions has spotlighted bioactive substances like ulvan and cumin essential oil, valued for their roles in combating oxidative stress and inflammation. In this study, cumin oil-based nanoemulsions with and without ulvan extract (CC@NE and UP-CC@NE) were developed using ultrasonication and evaluated for their potential in protecting against oxidative stress, photoaging, and melanogenesis. The formulations exhibited droplet sizes below 100 nm, low polydispersity indices (PDI < 0.2), and negative zeta potentials (- 4.67 to - 11.90 mV), indicating good stability. In vitro assays demonstrated concentration-dependent antioxidant activity, as well as inhibition of tyrosinase, collagenase, and elastase. Both nanoemulsions maintained over 70% cell viability in L929 fibroblasts at 0.25% concentration. In HaCaT keratinocytes, 0.25% nanoemulsions significantly suppressed the production of reactive oxygen species (ROS) triggered by hydrogen peroxide (H

Indexed as

Cumin essential oilMelanogenesisNanoemulsionPhotoagingReactive oxygen speciesSkincareUlvan

Identifiers

PMID41288832
PMCPMC12647411

What OpenQuestion holds

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LicenceCC BY
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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.