Evidence map›Paper›PMID 41790265›Full record

ArticleMikrochimica acta2026

Au@Ag spiny sphere-based SERS for the ultrasensitive and rapid detection of nicotine in mainstream cigarette smoke.

Xiao Pan, Yu Zhong, Chenshuo Zhao, Zejing Hu, Wenjing Wang, Yingqi Duan, Wenai Guo, Chunpeng Jiao, Jingbin Zeng

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Article in Mikrochimica acta, 2026. 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

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Xiao PanState Key Laboratory of Chemical Safety, College of Chemistry and Chemical Engineering, China University of Petroleum (East China), Qingdao, 266580, P. R. China.
Yu ZhongHefei Design Institute of China National Tobacco Corporation, Hefei, 230041, China.
Chenshuo ZhaoState Key Laboratory of Chemical Safety, College of Chemistry and Chemical Engineering, China University of Petroleum (East China), Qingdao, 266580, P. R. China.
Zejing HuState Key Laboratory of Chemical Safety, College of Chemistry and Chemical Engineering, China University of Petroleum (East China), Qingdao, 266580, P. R. China.
Wenjing WangState Key Laboratory of Chemical Safety, College of Chemistry and Chemical Engineering, China University of Petroleum (East China), Qingdao, 266580, P. R. China.
Yingqi DuanState Key Laboratory of Chemical Safety, College of Chemistry and Chemical Engineering, China University of Petroleum (East China), Qingdao, 266580, P. R. China.
Wenai GuoHefei Design Institute of China National Tobacco Corporation, Hefei, 230041, China.
Chunpeng JiaoState Key Laboratory of Chemical Safety, College of Chemistry and Chemical Engineering, China University of Petroleum (East China), Qingdao, 266580, P. R. China.
Jingbin ZengState Key Laboratory of Chemical Safety, College of Chemistry and Chemical Engineering, China University of Petroleum (East China), Qingdao, 266580, P. R. China. zengjb@upc.edu.cn.

Funding

Fundamental Research Funds for the Central Universities 24CX03011ANational Natural Science Foundation of China 22476214Natural Scientific Foundation of Shandong ZR2025ZD25the Key Project of Qingdao Natural Scientific Foundation 24-8-4-zrjj-9-jchthe Taishan Scholarship of Shandong Province tsqn202211080
6 · The paper itself

Abstract

The rapid, on-site quantification of nicotine in mainstream cigarette smoke is important for public health assessment yet poses a significant analytical challenge due to the complex sample matrix. Herein, we report a surface-enhanced Raman scattering (SERS) platform based on Au@Ag spiny spheres, engineered with high-density nanotips that generate intense plasmonic hot spots for sensitive nicotine detection. The platform features a pretreatment-free strategy wherein the Au@Ag colloid serves a dual role as both an in-situ extraction phase and the SERS-active substrate. This integration of sampling and detection yields a 150-fold signal enhancement and a 0.42 µg/mL limit of detection, with each analysis completed within 5 s. The method’s accuracy was validated across eight commercial cigarette brands, demonstrating excellent agreement with standard gas chromatography (RSD < 3.54%). This work thus provides a practical, field-deployable SERS approach that addresses key limitations of conventional analysis, enabling rapid quantification of public health-relevant chemical exposure.

Indexed as

GoldMetal NanoparticlesNicotineSilverSmokeSpectrum Analysis, RamanLimit of DetectionTobacco ProductsGoldNicotineSilverSmokeAu@Ag spiny sphereHigh-density nanotips; Plasmonic hot spotsMainstream cigarette smokeNicotineSERS

Identifiers

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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 Socratic graph.