Evidence map›Paper›PMID 42693398›Full record

ReviewJournal of separation science2026

Molecularly Imprinted Polymers for Steroid Hormone Analysis: Design Strategies, Recognition Mechanisms, and Detection Applications.

Yan Wang, Yuxin Guo, Xiaotong Fu, Hui Li, Wei Wu

Abstract readReview
In one paragraph

Review in Journal of separation science, 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

5 authors.

Yan WangJilin Ginseng Academy, Changchun University of Chinese Medicine, Changchun, China.
Yuxin GuoJilin Ginseng Academy, Changchun University of Chinese Medicine, Changchun, China.
Xiaotong FuJilin Ginseng Academy, Changchun University of Chinese Medicine, Changchun, China.
Hui LiJilin Ginseng Academy, Changchun University of Chinese Medicine, Changchun, China.
Wei WuJilin Ginseng Academy, Changchun University of Chinese Medicine, Changchun, China.

Funding

Department of Science and Technology of Jilin Province YDZJ202501ZYTS720Education Department of Jilin Province JJKH20261328KJ
6 · The paper itself

Abstract

Steroid hormones are important trace bioactive compounds found in food, environmental, biological, and regulatory samples. However, their accurate analysis remains challenging due to their low concentration, strong hydrophobicity, highly similar structures, and susceptibility to interference from complex matrices. Molecularly imprinted polymers contain binding sites designed to complement target molecules in size, shape, and functional-group arrangement and have been applied to the selective enrichment and detection of steroid hormones. This review examines steroid hormone molecularly imprinted polymers with emphasis on hormone structure, template and monomer selection, cross-linkers, porogens, and surface or magnetic imprinting strategies. Furthermore, it summarizes the integrated applications of molecularly imprinted polymers with electrochemistry, optics, quartz crystal microbalances, surface plasmon resonance, photonic crystals, and wearable sensing platforms, and reviews their current applications in environmental monitoring, food safety analysis, clinical testing, and biomonitoring. Key priorities are rational imprint design, matrix-compatible interfaces, and standardized performance evaluation to support the use of steroid hormone molecularly imprinted polymers in complex samples.

Indexed as

HormonesMolecular ImprintingMolecularly Imprinted PolymersPolymersSteroidsElectrochemical TechniquesHumansHormonesMolecularly Imprinted PolymersPolymersSteroidselectrochemical sensingfunctional monomerssample preparationselective recognitionsurface imprinting

Identifiers

PMID42693398
PMCPMC13542359

What OpenQuestion holds

Textmetadata
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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.