Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewedConventional

Enhanced ammonia sensing performance based on MXene-Ti3C2Tx multilayer nanoflakes functionalized by tungsten trioxide nanoparticles

Xuezheng Guo, Yanqiao Ding, Delin Kuang, Zhilin Wu, Xia Sun, Bingsheng Du, Chengyao Liang, Yingjie Wu, Weijie Qu, Lian Xiong, Yong He

Journal of Colloid and Interface Science · 2021

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Summary

This paper describes the development and characterisation of a nanocomposite ammonia sensor comprising MXene (Ti3C2Tx) multilayer nanoflakes functionalised with tungsten trioxide nanoparticles. As suggested by the title and journal scope, the work evaluates the enhanced sensing performance of this material configuration for ammonia detection, likely reporting improvements in sensitivity or response kinetics compared to unmodified or single-component alternatives. The research appears primarily materials-focused rather than applied to agricultural or food systems contexts.

Regional applicability

This materials science research on ammonia sensing has potential indirect relevance to UK agricultural monitoring, as ammonia emissions from livestock and manure management are environmental and regulatory concerns. However, the paper itself does not address agricultural application, animal husbandry, or soil health directly.

Key measures

Ammonia sensing sensitivity, response time, selectivity towards interfering gases, sensor stability and recovery characteristics

Outcomes reported

The study evaluated the performance of a nanocomposite sensor material (MXene-Ti3C2Tx functionalised with WO3 nanoparticles) for detecting ammonia gas. The research measured sensing sensitivity, response time, selectivity, and stability of the material.

Theme
Measurement & metrics
Subject
Measurement methods & nutrient profiling
Study type
Research
Study design
Laboratory materials science study
Source type
Peer-reviewed study
Status
Published
System type
Laboratory / in vitro
DOI
10.1016/j.jcis.2021.03.115
Catalogue ID
SNmohxvoxv-fceglo

Topic tags

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