MXene/WO3 Sensor Array with Improved SNN Algorithm for Accurate Identification of Toxic Gases.

IF 8.3 2区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY
Liangchao Guo, Junke Wang, Haoran Han, Peng Wang, Yunxiang Lu, Qilong Yuan, Chunyu Du, Shuo Yin, Ye Zhou, Chao Zhang
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引用次数: 0

Abstract

Gas sensing is pivotal in critical areas such as industrial production and food safety. This study explores the gas classification capabilities of MXene-based gas sensors. Pure V2CTx MXene and an MXene/WO3 nanocomposite were synthesized, and MXene-based gas sensors were integrated into a 2 × 2 rudimentary electronic nose array. The tests on gas sensitivity revealed that the inclusion of WO3 nanoparticles (NPs) boosted the sensor's response to 10 ppm of NO2 from 2.82 to 3.45 at room temperature. Moreover, the sensor showcased a rapid response/recovery duration of 74.5/149.0 s, excellent environmental stability, and long-term reliable sensing performance. Furthermore, we have improved the method of accurately identifying four toxic gases detected by an MXene-based sensor array using a spiking neural network (SNN) based on the memristive system. Also, the performance of this identification method revealed that the method achieved 95.83% accuracy in the identification of the four gases. Notably, the improved SNN demonstrated approximately 5% higher accuracy than the other gas recognition algorithm. These results highlight the potential of SNN as a powerful tool to accurately and reliably identify toxic gases based on the gas sensor array.

采用改进 SNN 算法的 MXene/WO3 传感器阵列可准确识别有毒气体。
气体传感在工业生产和食品安全等关键领域至关重要。本研究探讨了基于 MXene 的气体传感器的气体分类能力。研究人员合成了纯 V2CTx MXene 和 MXene/WO3 纳米复合材料,并将 MXene 气体传感器集成到一个 2 × 2 的简易电子鼻阵列中。气体灵敏度测试表明,加入 WO3 纳米粒子(NPs)后,传感器在室温下对 10 ppm 二氧化氮的响应从 2.82 提高到 3.45。此外,该传感器的快速响应/恢复时间为 74.5/149.0 秒,具有出色的环境稳定性和长期可靠的传感性能。此外,我们还改进了基于 MXene 的传感器阵列准确识别四种有毒气体的方法,即使用基于记忆系统的尖峰神经网络 (SNN)。此外,该识别方法的性能表明,该方法识别四种气体的准确率达到 95.83%。值得注意的是,改进后的 SNN 比其他气体识别算法的准确率高出约 5%。这些结果凸显了 SNN 作为基于气体传感器阵列准确可靠地识别有毒气体的强大工具的潜力。
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来源期刊
ACS Applied Materials & Interfaces
ACS Applied Materials & Interfaces 工程技术-材料科学:综合
CiteScore
16.00
自引率
6.30%
发文量
4978
审稿时长
1.8 months
期刊介绍: ACS Applied Materials & Interfaces is a leading interdisciplinary journal that brings together chemists, engineers, physicists, and biologists to explore the development and utilization of newly-discovered materials and interfacial processes for specific applications. Our journal has experienced remarkable growth since its establishment in 2009, both in terms of the number of articles published and the impact of the research showcased. We are proud to foster a truly global community, with the majority of published articles originating from outside the United States, reflecting the rapid growth of applied research worldwide.
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