Evidence map›Paper›PMID 42852184›Full record

ReviewACS omega2026

Advancing Membrane Technologies for Cancer Therapy and Environmental Health: Biomimetic Innovations, Smart Technologies, and Sustainable Translation.

Samson Olusegun Afolabi, Ekaterina V Skorb, Sergey Shityakov

Abstract readReview
In one paragraph

Review in ACS omega, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Samson Olusegun AfolabiInfochemistry Scientific Center, ITMO University, Lomonosova St. 9, Saint Petersburg 191002, Russian Federation.ORCID https://orcid.org/0000-0002-6174-5044
Ekaterina V SkorbInfochemistry Scientific Center, ITMO University, Lomonosova St. 9, Saint Petersburg 191002, Russian Federation.ORCID https://orcid.org/0000-0003-0888-1693
Sergey ShityakovInfochemistry Scientific Center, ITMO University, Lomonosova St. 9, Saint Petersburg 191002, Russian Federation.ORCID https://orcid.org/0000-0002-6953-9771

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biomimetic and advanced membrane technologies are emerging as powerful platforms bridging biomedical and environmental applications, particularly in cancer therapy and water purification. However, current research remains fragmented, with limited integration of design principles across these domains. This review addresses this gap by presenting a unified analytical framework to systematically evaluate diverse membrane systems, including biomimetic nanoparticle membranes, exosome-based membranes, implantable devices, ultrathin functional membranes, graphene/2D membranes, and more. We comparatively assess their structural features, functional performance, industrial and clinical maturity, and scalability to highlight their complementary roles in targeted drug delivery, biosensing, and contaminant removal. Emphasis is placed on translational challenges, including manufacturing complexity, standardization, and regulatory constraints. Furthermore, emerging strategies such as AI-driven design, hybrid membrane engineering, and sensing-separation integration are critically examined as pathways to enhance performance and real-world applicability. This work provides a coherent foundation for cross-disciplinary innovation and supports the development of scalable, high-performance membrane systems for precision medicine and sustainable environmental technologies.

Identifiers

PMID42852184
PMCPMC13647364

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.