Real-time, noise and drift resilient formaldehyde sensing at room temperature with aerogel filaments
Real-time, noise and drift resilient formaldehyde sensing at room temperature with aerogel filaments
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DOI：
10.1126/sciadv.adk6856
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发表时间：
2023-09
期刊：
影响因子：
13.6
通讯作者：
Zhuo Chen;Binghang Zhou;Mingfei Xiao;T. Bhowmick;Padmanathan Karthick Kannan;L. Occhipinti;J. Gardner-J.-Gard
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文献类型：
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作者：
Zhuo Chen;Binghang Zhou;Mingfei Xiao;T. Bhowmick;Padmanathan Karthick Kannan;L. Occhipinti;J. Gardner-J.-Gard
甲醛是一种常见的室内空气污染物，是一种已知的人类致癌物质。然而，其实时和选择性识别干扰气体仍然具有挑战性，特别是对于遭受噪声和基线漂移的低功耗传感器。我们报告了一种完全3D打印的量子点/石墨烯基气凝胶传感器，用于在室温下高度灵敏和实时识别甲醛。通过优化印刷结构的形态和掺杂，我们实现了对百万分之一甲醛的15.23%的创纪录高和稳定的响应，以及仅消耗130微瓦功率的十亿分之8.02的超低检测限。在测得的动态响应快照的基础上，我们还开发了智能计算算法，用于在真实的时间内进行稳健和准确的检测，尽管模拟了大量的噪声和基线漂移，迄今为止室温传感器无法实现。我们的框架结合了材料工程、结构设计和计算算法来捕获动态响应，提供了前所未有的甲醛和其他挥发性有机化合物在室温下的实时识别能力。
Formaldehyde, a known human carcinogen, is a common indoor air pollutant. However, its real-time and selective recognition from interfering gases remains challenging, especially for low-power sensors suffering from noise and baseline drift. We report a fully 3D-printed quantum dot/graphene-based aerogel sensor for highly sensitive and real-time recognition of formaldehyde at room temperature. By optimizing the morphology and doping of printed structures, we achieve a record-high and stable response of 15.23% for 1 part per million formaldehyde and an ultralow detection limit of 8.02 parts per billion consuming only ∼130-microwatt power. On the basis of measured dynamic response snapshots, we also develop intelligent computational algorithms for robust and accurate detection in real time despite simulated substantial noise and baseline drift, hitherto unachievable for room temperature sensors. Our framework in combining materials engineering, structural design, and computational algorithm to capture dynamic response offers unprecedented real-time identification capabilities of formaldehyde and other volatile organic compounds at room temperature.