Evidence map›Paper›PMID 41403683›Full record

ArticleRSC advances2025

Plasmonic filter paper for microplastic detection: SERS enhancement, size dependence, and quantitative limitations.

Minjeong Kim, Donggeon Lee, Dong-Wook Shin, Sangyeob Lee, Choong-Heui Chung, Jung-Sub Wi

Abstract read
In one paragraph

Article in RSC advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

6 authors.

Minjeong KimDepartment of Materials Science and Engineering, Hanbat National University Daejeon Republic of Korea jungsub.wi@hanbat.ac.kr.
Donggeon LeeDepartment of Materials Science and Engineering, Hanbat National University Daejeon Republic of Korea jungsub.wi@hanbat.ac.kr.
Dong-Wook ShinDepartment of Materials Science and Engineering, Hanbat National University Daejeon Republic of Korea jungsub.wi@hanbat.ac.kr.
Sangyeob LeeDepartment of Materials Science and Engineering, Hanbat National University Daejeon Republic of Korea jungsub.wi@hanbat.ac.kr.
Choong-Heui ChungDepartment of Materials Science and Engineering, Hanbat National University Daejeon Republic of Korea jungsub.wi@hanbat.ac.kr.
Jung-Sub WiDepartment of Materials Science and Engineering, Hanbat National University Daejeon Republic of Korea jungsub.wi@hanbat.ac.kr.ORCID https://orcid.org/0000-0002-9531-2001

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The public concern over microplastic exposure in daily life has increased the demand for reliable detection methods. Surface-Enhanced Raman Scattering (SERS), a candidate method for microplastic analysis, enables chemical identification of microplastics at trace levels. This study evaluated the dependence of SERS on microplastic size and its inherent limitations in quantitative analysis. SERS-active substrates were fabricated by coating a gold film onto a conventional filter paper using oblique-angle deposition. The signal-enhancement effect of the SERS-active substrate was evaluated using electromagnetic simulations and experimental measurements of polystyrene microplastics. For 1 µm polystyrene microplastics, Raman signals were detectable even without SERS enhancement, indicating that plasmonic amplification is not essential for microplastics larger than a few micrometers. Meanwhile, 200 nm polystyrene particles require SERS for signal detection. Across both particle sizes, no definitive correlation was observed between the Raman signal intensity and particle concentration within the range of 10-1000 ppm. This highlights a limitation of SERS analysis for microplastic detection due to the fact that the sizes of the analytes are comparable to the size of the laser focal spot. Our findings demonstrate that using SERS to quantify microplastic concentrations without large-scale data analysis techniques, such as area mapping, can lead to misleading interpretations.

Identifiers

PMID41403683
PMCPMC12703694

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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.