Evidence map›Paper›PMID 42318662›Full record

ArticleSmall (Weinheim an der Bergstrasse, Germany)2026

Interfacial Regulation-Driven Dual-Enrichment SERS Coupled With Deep Learning Enable Ultrasensitive and In Situ Identification of Microplastics in Natural Waters.

Chaochao Ma, Xiaojiao Zhao, Jiacheng Li, Xinyu Liu, Mingxu Zhang, Zhidan Liu, Jing Wu, Zhifeng Liu, Yunpeng Wang, Yang Li

Abstract read
In one paragraph

Article in Small (Weinheim an der Bergstrasse, Germany), 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

10 authors.

Chaochao MaState Key Laboratory of Frigid Zone Cardiovascular Diseases (SKLFZCD), Research Center for Innovative Technology of Pharmaceutical Analysis, College of Pharmacy, Harbin Medical University, Harbin, Heilongjiang, China.
Xiaojiao ZhaoState Key Laboratory of Frigid Zone Cardiovascular Diseases (SKLFZCD), Research Center for Innovative Technology of Pharmaceutical Analysis, College of Pharmacy, Harbin Medical University, Harbin, Heilongjiang, China.
Jiacheng LiState Key Laboratory of Frigid Zone Cardiovascular Diseases (SKLFZCD), Research Center for Innovative Technology of Pharmaceutical Analysis, College of Pharmacy, Harbin Medical University, Harbin, Heilongjiang, China.
Xinyu LiuState Key Laboratory of Frigid Zone Cardiovascular Diseases (SKLFZCD), Research Center for Innovative Technology of Pharmaceutical Analysis, College of Pharmacy, Harbin Medical University, Harbin, Heilongjiang, China.
Mingxu ZhangState Key Laboratory of Frigid Zone Cardiovascular Diseases (SKLFZCD), Research Center for Innovative Technology of Pharmaceutical Analysis, College of Pharmacy, Harbin Medical University, Harbin, Heilongjiang, China.
Zhidan LiuState Key Laboratory of Frigid Zone Cardiovascular Diseases (SKLFZCD), Research Center for Innovative Technology of Pharmaceutical Analysis, College of Pharmacy, Harbin Medical University, Harbin, Heilongjiang, China.
Jing WuSchool of Physical Science and Technology, Nantong University, Nantong, Jiangsu, China.
Zhifeng LiuInpatient Department, Heilongjiang Provincial Eye Hospital, Harbin, Heilongjiang, China.
Yunpeng WangState Key Laboratory of Frigid Zone Cardiovascular Diseases (SKLFZCD), Research Center for Innovative Technology of Pharmaceutical Analysis, College of Pharmacy, Harbin Medical University, Harbin, Heilongjiang, China.ORCID https://orcid.org/0000-0002-8276-6004
Yang LiState Key Laboratory of Frigid Zone Cardiovascular Diseases (SKLFZCD), Research Center for Innovative Technology of Pharmaceutical Analysis, College of Pharmacy, Harbin Medical University, Harbin, Heilongjiang, China.ORCID https://orcid.org/0000-0002-0677-3245

Funding

2025 Research Project of the Heilongjiang Provincial Research Institute CZKYF2025-1-B045Inpatient Department of Heilongjiang Provincial Ophthalmic HospitalNational Natural Science Foundation of China 82202648Natural Science Foundation of Heilongjiang Province LH2024H016
6 · The paper itself

Abstract

Accurate detection of trace-level microplastics in natural waters remains challenging due to inefficient particle enrichment, unstable particle-substrate interactions, inhomogeneous hotspot distributions, and spectral similarity among polymers. Here, we develop a membrane-confined SERS platform integrated with machine-learning-assisted spectral analysis for sensitive and reproducible microplastic detection. In this platform, PSS-Na-modified Au@Ag nanocubes are employed as plasmonic building blocks to construct a charge-regulated, vertically stacked hotspot architecture on a cellulose acetate membrane. By improving microplastic enrichment, hotspot accessibility, and interlayer electromagnetic coupling, the membrane-guided configuration enables reproducible detection of polystyrene down to 50 ng mL

Indexed as

in situ environmental monitoringmachine learningmicroplasticsSERSspectral database

Identifiers

PMID42318662
PMCPMC13450292

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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.