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Bottom-up designing nanostructured oxide libraries under a lab-on-chip paradigm towards a low-cost highly-selective E-nose
Analytica Chimica Acta ( IF 5.7 ) Pub Date : 2024-11-02 , DOI: 10.1016/j.aca.2024.343387
Maksim A. Solomatin, Fedor S. Fedorov, Demid A. Kirilenko, Vanessa Trouillet, Alexey S. Varezhnikov, Ilia V. Kiselev, Udo Geckle, Martin Sommer, Alexey M. Bainyashev, Vasily Artemov, Nikolay M. Ushakov, Vladimir G. Goffman, Maxim K. Rabchinskii, Albert G. Nasibulin, Victor V. Sysoev

The multisensor concept has been developed as a powerful alternative to well-known gas-analytical instrumentation for applications where a fast but accurate and reliable assessment of the environment is required. The concept follows a biology-inspired approach where the selectivity towards various gases/odors is attained via pattern recognition of multisensory signal vectors. Herein, we discuss how to design a selective multisensor library based on various metal oxide nanostructures like a lab-on-chip using a simple but efficient bottom-up growth of materials over the multi-electrode chip under robust dc electrochemical protocols.

中文翻译:


在芯片实验室范式下自下而上地设计纳米结构氧化物库,以实现低成本、高选择性的电子鼻



多传感器概念已被开发为众所周知的气体分析仪器的强大替代品,适用于需要快速但准确和可靠地评估环境的应用。该概念遵循受生物学启发的方法,其中通过多传感器信号向量的模式识别来实现对各种气体/气味的选择性。在本文中,我们讨论了如何在稳健的直流电化学协议下,使用简单但高效的材料自下而上在多电极芯片上的生长来设计基于各种金属氧化物纳米结构(如芯片实验室)的选择性多传感器库。
更新日期:2024-11-02
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