Evidence map›Paper›PMID 42286362›Full record

ArticleMikrochimica acta2026

Interlaced 2D cellulose networks with molecular enrichment capability for sensitive SERS detection of sweat biomarkers.

Luyao Lin, Haonan Wang, Xinlin Lei, Xin Zhuang, Yiqing Chen, Qiyue Lai, Bo Li, Yulin Fang, Yunli Xu, Ruiyun You and 1 more

Abstract read
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In one paragraph

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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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Luyao LinFujian Provincial Key Laboratory of Advanced Oriented Chemical Engineer, Fujian Key Laboratory of Polymer Materials, College of Chemistry and Materials Science, Fujian Normal University, Fuzhou, 350007, China.
Haonan WangFujian Provincial Key Laboratory of Advanced Oriented Chemical Engineer, Fujian Key Laboratory of Polymer Materials, College of Chemistry and Materials Science, Fujian Normal University, Fuzhou, 350007, China.
Xinlin LeiFujian Provincial Key Laboratory of Advanced Oriented Chemical Engineer, Fujian Key Laboratory of Polymer Materials, College of Chemistry and Materials Science, Fujian Normal University, Fuzhou, 350007, China.
Xin ZhuangFujian Provincial Key Laboratory of Advanced Oriented Chemical Engineer, Fujian Key Laboratory of Polymer Materials, College of Chemistry and Materials Science, Fujian Normal University, Fuzhou, 350007, China.
Yiqing ChenFujian Provincial Key Laboratory of Advanced Oriented Chemical Engineer, Fujian Key Laboratory of Polymer Materials, College of Chemistry and Materials Science, Fujian Normal University, Fuzhou, 350007, China.
Qiyue LaiCollege of Sports Sciences, Fujian Province Higher Education Institutes, Fujian Normal University, Fuzhou, 350007, Fujian, China.
Bo LiCollege of Sports Sciences, Fujian Province Higher Education Institutes, Fujian Normal University, Fuzhou, 350007, Fujian, China.
Yulin FangCollege of Life Science, Fujian Normal University, Fuzhou, 350117, China.
Yunli XuCollege of Sports Sciences, Fujian Province Higher Education Institutes, Fujian Normal University, Fuzhou, 350007, Fujian, China.
Ruiyun YouFujian Provincial Key Laboratory of Advanced Oriented Chemical Engineer, Fujian Key Laboratory of Polymer Materials, College of Chemistry and Materials Science, Fujian Normal University, Fuzhou, 350007, China. youruiyun@fjnu.edu.cn.
Yudong LuFujian Provincial Key Laboratory of Advanced Oriented Chemical Engineer, Fujian Key Laboratory of Polymer Materials, College of Chemistry and Materials Science, Fujian Normal University, Fuzhou, 350007, China. luyd@fjnu.edu.cn.

Funding

Fujian Province Natural Science Foundation Project 2025J08275Fujian Provincial Department of Science and Technology 2025J01626Innovation and Entrepreneurship Project for University Students in Fujian Province cxxl-2026144Natural Science Foundation Project 2023J01502
6 · The paper itself

Abstract

Efficient localization of analytes near plasmonic hotspots remains a major challenge for surface-enhanced Raman scattering (SERS) detection in complex liquid-phase systems. Herein, an interlaced cellulose-based porous membrane composed of dissolving pulp fibers (DPFs), mechanically ground nanofibers (MGNFs), sodium alginate (SA), and Ag nanoparticles was developed as a molecular enrichment-assisted SERS platform for sweat biomarker determination. The hierarchical porous architecture provided interconnected transport channels and abundant interfacial adsorption sites, facilitating analyte retention and localized enrichment within the plasmonic region. Benefiting from the synergistic effects of porous confinement and uniformly distributed Ag nanoparticles, the optimized substrate exhibited sensitive and reproducible SERS performance with an enhancement factor of 4.36 × 10⁷, a relative standard deviation of 8.04%, and a detection limit down to 1.0 × 10⁻⁸ mol/L for Rhodamine 6G (R6G). Systematic adsorption experiments using molecules with different charge properties further demonstrated the broad molecular enrichment capability of the structured cellulose network. The developed platform enabled quantitative detection of lactate and urea within physiologically relevant sweat concentration ranges and showed satisfactory analytical performance in spiked sweat samples. More importantly, this work demonstrates a structure-engineered porous membrane strategy for integrating molecular enrichment with plasmonic sensing, providing new insight into cellulose-based SERS platforms for complex bioanalytical applications.

Indexed as

CelluloseSpectrum Analysis, RamanSweatAdsorptionAlginatesBiomarkersHumansLimit of DetectionMetal NanoparticlesNanofibersPorosityRhodaminesSilverAlginatesBiomarkersCelluloserhodamine 6GRhodaminesSilverReal-time monitoringSurface enhanced Raman spectroscopy; Hierarchical porous architecture; Structured cellulose networkSweat analysis

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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.