Phosphorus-nitrogen co-doped graphene: Advancements in fast, highly sensitive ammonia sensing at room temperature

IF 5.2 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Quanfu Li , Manli Sun , Fuqian Li , Zhencheng Chen , Xudong Luo
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Abstract

High sensitivity and fast response ammonia gas sensors have wide applications in chemical production, food safety, medical diagnosis, and other fields. This work innovatively utilizes phosphorus and nitrogen as co-doping elements to significantly enhance the ammonia sensing performance of graphene. Ammonia sensing tests have shown that phosphorus-nitrogen co-doped graphene (PNG) exhibits excellent ammonia sensing performance at room temperature: high response (up to 4.34% response to 0.5 ppm ammonia, more than 5 times that of graphene), ultra-low detection limit (33.9 ppb), fast response/recovery (response time (Tres) and recovery time (Trec) are 19 s and 36 s, respectively, which are more than 90% shorter than graphene on average). In addition, the PNG ammonia sensor also has excellent selectivity and good long-term stability. The PNG ammonia sensor studied in this paper has great potential in practical applications, especially in the detection of low concentration ammonia in exhaled breath analysis for medical diagnostics. It is expected to provide a reliable and low-cost solution for various applications of graphene ammonia sensors.

Abstract Image

磷氮共掺杂石墨烯:在室温下快速、高灵敏度氨传感的进展
高灵敏度、快速响应的氨气传感器在化工生产、食品安全、医疗诊断等领域有着广泛的应用。本研究创新性地利用磷和氮作为共掺杂元素,显著提高了石墨烯的氨传感性能。氨传感实验表明,磷氮共掺杂石墨烯(PNG)在室温下表现出优异的氨传感性能:高响应(对0.5 ppm氨的响应高达4.34%,是石墨烯的5倍以上),超低检测限(33.9 ppb),快速响应/恢复(响应时间(Tres)和恢复时间(Trec)分别为19 s和36 s,比石墨烯平均短90%以上)。此外,PNG氨传感器还具有优良的选择性和良好的长期稳定性。本文所研究的PNG氨传感器在实际应用中具有很大的潜力,特别是在医学诊断呼气分析中低浓度氨的检测方面。有望为石墨烯氨传感器的各种应用提供可靠、低成本的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Measurement
Measurement 工程技术-工程:综合
CiteScore
10.20
自引率
12.50%
发文量
1589
审稿时长
12.1 months
期刊介绍: Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.
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