Evidence map›Paper›PMID 41472695›Full record

ReviewChem & bio engineering2025

Molecularly Imprinted Membranes for Selective Biomarker Recognition: Recent Advances and Emerging Strategies.

Qingmei Song, Kelly Van Van, Xinhao Li, Ziman Chen, Yongqin Lv

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Chem & bio engineering, 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. Review
  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

5 authors.

Qingmei SongState Key Laboratory of Organic-Inorganic Composites, International Joint Bioenergy Laboratory of Ministry of Education, National Energy Research and Development Center for Biorefinery, Beijing Key Laboratory of Bioprocess, College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China.
Kelly Van VanSchool of Biological Sciences, The University of Hong Kong, Pokfulam, Hong Kong SAR 999077, China.
Xinhao LiCollege of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China.
Ziman ChenState Key Laboratory of Organic-Inorganic Composites, International Joint Bioenergy Laboratory of Ministry of Education, National Energy Research and Development Center for Biorefinery, Beijing Key Laboratory of Bioprocess, College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China.
Yongqin LvState Key Laboratory of Organic-Inorganic Composites, International Joint Bioenergy Laboratory of Ministry of Education, National Energy Research and Development Center for Biorefinery, Beijing Key Laboratory of Bioprocess, College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China.ORCID https://orcid.org/0000-0001-9030-8006

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecularly imprinted membranes (MIMs) epitomize the convergence of membrane science with molecular imprinted technology. Endowed with intrinsic molecular recognition and memory functionalities, MIMs have the potential to evolve into pivotal tools for the selective separation, identification, and purification of biomolecules. This review summarizes the forefront advancements in the selective recognition and separation of macromolecular biomarkers through MIMs, such as proteins, peptides, and nucleotides. A comprehensive overview of diverse imprinting polymerization methodologies employed in crafting MIMs tailored for specific biomacromolecule targets is presented. Additionally, the evolving research landscape concerning MIMs as a potent platform for the targeted capture of biomacromolecule-associated biomarkers is critically appraised and is discussed.

Indexed as

biomacromolecular biomarkersimprinting polymerization methodologiesmolecularly imprinted membranesselective recognition and separation

Identifiers

PMID41472695
PMCPMC12746002

What OpenQuestion holds

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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.