Karimi Kimiya, Foroozandeh Amin, Salar Amoli Hossein, Hasanzadeh Mohammad
Department of Chemistry, Amirkabir University of Technology Tehran Iran
Pharmaceutical Analysis Research Center, Tabriz University of Medical Sciences Tabriz Iran
RSC Adv. 2025 Jul 8;15(29):23605-23632. doi: 10.1039/d5ra02989a. eCollection 2025 Jul 4.
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.
基于金属氧化物异质结构(MOH)的气体传感器因其低成本、高灵敏度和环保型生产而广受欢迎。在不同的食品分析中,MOH能显著提升三甲胺(TMA)检测传感器的性能。这些提升源于它们增强反应效率、提高吸附潜力以及形成电荷载流子减少区域的能力。这些因素的协同效应共同提高了传感器的灵敏度、选择性和信号传输效率。然而,仍需解决一些挑战,包括结处潜在的材料迁移、制造工艺的可重复性以及传感层的稳定性。本综述强调了MOH在化学传感中的重要作用,尤其着重于其在食品质量分析中检测TMA的应用。本综述探讨了基于MOH的TMA传感器的生长和界面特性,旨在弥合实验室研究与实际应用之间的差距。此外,我们调查了不同MOH对食品分析中TMA传感器性能的作用机制和影响,深入了解它们的有效性和实际应用情况。此外,还探讨了微流控传感器的作用以及人工智能的重要性,以改善检测有毒气体和监测环境卫生质量的关键因素。整合人工智能和微流控技术可以提高实时校准和检测精度,克服这些局限性。未来的工作可以集中在改进传感器设计和环境适应性,以确保MOH传感器在食品安全和环境监测中得到更广泛的应用。