Rapid and Ultrasensitive Detection of Dioctyltin in Textiles Using Surface-Enhanced Raman Spectroscopy (SERS): Mechanistic Insights and Practical Applications.

Zheyu Shen, Qiang Chen, Xia Gao, Yan Liu, Jiamin Wang, Pei Liang

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 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

6 authors.

Zheyu ShenCollege of Metrology Measurement and Instrument, China Jiliang University, Hangzhou 310018, China.ORCID 0009-0005-8254-2499

Qiang ChenCollege of Metrology Measurement and Instrument, China Jiliang University, Hangzhou 310018, China.

Xia GaoInstitute of Analysis and Testing, Beijing Research Institute of Science and Technology, Beijing 100089, China.

Yan LiuInstitute of Analysis and Testing, Beijing Research Institute of Science and Technology, Beijing 100089, China.

Jiamin WangInstitute of Analysis and Testing, Beijing Research Institute of Science and Technology, Beijing 100089, China.

Pei LiangCollege of Optical and Electronic Technology, China Jiliang University, Hangzhou 310018, China.ORCID 0000-0002-2493-2238

Funding

Project supported by the National Key R&D Plan 2022YFF0606702the Key R&D Plan of Zhejiang Province 2021C05005the Key R&D Plan of Zhejiang Province 2022C01127the National Natural Science Foundation of China 22174133the Preeminence Youth Science Funds of Zhejiang Province LR19F050001Zhejiang Provincial Natural Science Foundation of China LGF21F050002

6 · The paper itself

Abstract

Organotin compounds (OTCs) are toxic pollutants threatening ecosystems and human health, among which dioctyltin (DOCT), widely used in skin-contact textiles, can induce immune dysfunction and metabolic disorders. Although DOCT levels in textiles are strictly regulated by international standards, traditional GC-MS suffers from cumbersome derivatization, unsatisfactory repeatability, and lengthy analysis, highlighting the urgent demand for a rapid and sensitive detection approach. Herein, we developed a fast SERS-based strategy for DOCT determination using size-optimized Au@Ag core-shell nanoparticles as the substrate, which offers simple pretreatment, high efficiency, good uniformity, and excellent reproducibility. The SERS spectra and functional group vibration modes of DOCT were elucidated by density functional theory (DFT) calculations combined with experimental validation, and the peak at 301 cm

Indexed as

Organotin CompoundsSpectrum Analysis, RamanTextilesGoldLimit of DetectionMetal NanoparticlesReproducibility of ResultsSilverGoldOrganotin CompoundsSilverdioctyltinorganotin compoundsRamanSERS

Identifiers

PMID41902058

DOI10.3390/s26061891

PMCPMC13029820

What OpenQuestion holds

Textmetadata

LicenceCC BY

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.