Evidence map›Paper›PMID 40851011›Full record

ArticleScientific reports2025

Polydopamine-coated double emulsion capsules for on-demand drug release with reduced passive leakage.

Hyojun Lee, Giyeong Nam, Daehoon Han

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Synthesis,ACS omega · 2026
    Article
  2. 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

3 authors.

Hyojun Lee *School of Chemical Engineering, Chonnam National University, Gwangju, 61186, Republic of Korea.
Giyeong Nam *School of Chemical Engineering, Chonnam National University, Gwangju, 61186, Republic of Korea.
Daehoon HanSchool of Chemical Engineering, Chonnam National University, Gwangju, 61186, Republic of Korea. dhhan@jnu.ac.kr.

Funding

Chonnam National University 2022-2633National Research Foundation of Korea RS-2023-00247767
6 · The paper itself

Abstract

Double emulsions (DEs) are widely explored in pharmaceuticals due to their ability to encapsulate both hydrophilic and hydrophobic drugs. However, their inherent instability limits their effectiveness in controlled drug delivery. Double emulsion capsules (DECs), formed by encapsulating DEs within a polymer shell, improve structural stability but still suffer from unintended drug diffusion due to the porous nature of polymeric shells. Polydopamine (PDA), a bioinspired polymer known for its strong adhesion, biocompatibility, and chemical stability, is a promising coating material for biomedical applications. However, research on its coating on DECs and its potential impact on passive leakage remains underexplored. Here we report PDA-coated DECs as an on-demand drug release system. The PDA coating effectively reduces passive leakage by forming an additional PDA layer on the DEC surface. Under optimized coating conditions, the passive leakage of coated DECs is ~ 20% lower than that of uncoated DECs for 8 days. Also, on-demand drug release is demonstrated through the photothermal effect of PDA, which enables localized heating under NIR laser irradiation. This study highlights PDA-coated DECs as a versatile drug delivery platform with enhanced stability, tunable release properties, and photothermal activation, making them promising for targeted drug delivery, implantable therapeutics, and precision medicine.

Indexed as

Drug Delivery SystemsDrug LiberationIndolesPolymersCapsulesEmulsionsCapsulesEmulsionsIndolespolydopaminePolymersDouble emulsion capsulesDrug releaseMicrofluidicsPassive leakagePolydopamine coating

Identifiers

PMID40851011
PMCPMC12375795

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.