Graphene-biomass Composite Sensor: A Novel Paradigm for Environmentally Friendly Monitoring Devices

Wen Zheng

doi:10.47297/wspbtsWSP2755-952107.20260501

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Graphene-biomass Composite Sensor: A Novel Paradigm for Environmentally Friendly Monitoring Devices

5卷第1期

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Graphene-biomass Composite Sensor: A Novel Paradigm for Environmentally Friendly Monitoring Devices
Graphene-biomass Composite Sensor: A Novel Paradigm for Environmentally Friendly Monitoring Devices
School of Chemistry, Chemical Engineering and Life Sciences, Wuhan University of Technology, Wuhan, Hubei, 430070, China
2026年5卷第1期页码：33-37
网络首发：2026-08-12，

纸质出版：2026-03-30
DOI：10.47297/wspbtsWSP2755-952107.20260501
Accepted：

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Wen Zheng. (2026). Graphene-biomass Composite Sensor: A Novel Paradigm for Environmentally Friendly Monitoring Devices. 分析测试学报, 5(1), 33-37.

Wen Zheng.Graphene-biomass Composite Sensor: A Novel Paradigm for Environmentally Friendly Monitoring Devices[J].Biomedical Testing & Sensing,2026,05(01):33-37.
Wen Zheng. (2026). Graphene-biomass Composite Sensor: A Novel Paradigm for Environmentally Friendly Monitoring Devices. 分析测试学报, 5(1), 33-37. DOI： 10.47297/wspbtsWSP2755-952107.20260501.

Wen Zheng.Graphene-biomass Composite Sensor: A Novel Paradigm for Environmentally Friendly Monitoring Devices[J].Biomedical Testing & Sensing,2026,05(01):33-37. DOI： 10.47297/wspbtsWSP2755-952107.20260501.

摘要

Abstract

To meet the sustainable development demands of environmental monitoring

developing high-efficiency and low-environmental-footprint sensing technologies has become a critical industry priority. This study focuses on graphene-biomass composites

systematically elucidating the molecular interaction mechanisms between biomass components and graphene

along with interface modulation strategies. It comprehensively reviews three breakthroughs in green fabrication technologies: biomolecular template-induced self-assembly

biomimetic mineralization enhancement

and solid waste resource utilization. The research delves into multidimensional performance optimization principles including electrochemical sensitivity

mechanical flexibility

and multimodal response capabilities. Through validation applications in real-time heavy metal monitoring in water bodies

intelligent identification of atmospheric volatile organic compounds

and distributed soil pollutant detection

the study identifies industrialization bottlenecks such as mass production quality control

environmental signal interference mitigation

and biosafety assessment. Future trends including AI-assisted design

self-powered system integration

and closed-loop recycling system development are explored

providing systematic material science theories and technical implementation pathways for environmentally friendly monitoring equipment development.

关键词

Keywords

references

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