ReviewRSC advances2025
Metal oxide heterostructure towards gas sensing of trimethylamine: recent progress and challenges.
Review in RSC advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gas sensors based on metal oxide heterostructures (MOHs) are popular due to their low cost, sensitivity, and eco-friendly production. MOHs significantly improve trimethylamine (TMA) detection sensor performance in different food analyses. These improvements stem from their capability to enhance reaction efficiency, elevate adsorption potential, and create a region with reduced charge carriers. The synergistic effects of these factors collectively enhance the sensor's sensitivity, selectivity, and signal transmission efficiency. However, challenges still need to be addressed, including potential material migration at the junctions, manufacturing process reproducibility, and sensing layer stability. This review highlighted the significant role of MOHs in chemical sensing, with a particular emphasis on their application in detecting TMA for food quality analysis. This review explored the growth and interfacial characteristics of MOHs-based sensors of TMA, aiming to bridge the gap between laboratory research and practical applications. Additionally, we surveyed the mechanisms and impact of different MOHs on the performance of TMA sensors in food analysis, providing insights into their effectiveness and real-world implementation. Furthermore, the role of microfluidic sensors and the significance of artificial intelligence were explored to improve the significant factors in detecting toxic gases and monitoring environmental health quality. Integrating AI and microfluidic technologies could enhance real-time calibration and detection accuracy, addressing these limitations. Future work could be focused on improving sensor design and environmental resilience to ensure the broader use of MOH sensors in food safety and environmental monitoring.
Identifiers
What OpenQuestion holds
Registered trials
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.