CAREER: Real-Time, Selective Gas Sensing in Complex Gas Compositions by Molecular Sieving via Robust Two-Dimensional Heterostructures

职业：通过稳健的二维异质结构进行分子筛分，对复杂气体成分进行实时、选择性气体传感

• 批准号: 2145549
• 负责人: Kevin Daniels
• 金额: $ 55万
• 依托单位: University of Maryland, College Park
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-02-01 至 2027-01-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2145549&HistoricalAwards=false
• 关键词: CAREER; Real; Time; Selective; Gas

This award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2).There has been an increasing need for real-time, discriminate, sensitive, and low-cost gas sensors to promote human health and safety in a changing world. These are needed for non-invasive medical screening and diagnostics, environmental sensing, and explosives detection. However, complex gas compositions, like those found in the human breath or the environment, make conventional selective gas detection challenging. Current solid-state sensors, while low-cost and robust, suffer from poor selectivity in complex gas compositions. This NSF CAREER research program aims to investigate the gas sieving capabilities of the interlayer gap between layered two-dimensional materials for the tunable, selective, electrical detection of gas molecules. This project's educational and outreach goal is to engage underrepresented minorities in STEM programs through course-based undergraduate research experiences, internships, and mentorships with local high schools.The research objective of this CAREER proposal is to address the speed and selectivity problems in low-cost solid-state gas sensors by investigating and exploiting the unparalleled electronic and sensing properties of 2D epitaxial graphene (EG) on silicon carbide with heterostructures comprised of 2D layered transition metal oxides (TMO). TMOs innate chemical selectivity and uniquely wide interlayer spacings can be manipulated ionically to enable tunable molecular sieves. Furthermore, selective gas sensing within complex gas compositions can be achieved by rejecting molecules with kinetic diameters larger than the effective interlayer spacing. The program has main five tasks: (1) Investigate the large-scale electrodeposition of TMOs on EG by van der Waals epitaxy; (2) characterize and quantify the dominant sensing mechanisms of the synthesized heterostructures through structural, electrical, and chemical characterization; (3) assess the gas sensing performance of the 2D heterostructures with various intercalated ions through the design and fabrication of conductometric/impedimetric gas sensors, guided by density functional theory, numerical calculations, and material characterization; (4) test the sensor performance against different gas compositions and conditions by varying molecule size, temperature, pressure, and humidity; and (5) develop a predictive algorithm based on sensor output metrics to reduce possible cross-sensitivity with molecules of similar size and impedance response and integrated into a portable sensing platform capable of breath-based and environmental sensing.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该奖项是根据2021年《美国救援计划法》的全部或部分资助（公法117-2）。在不断变化的世界中，对实时，歧视，敏感和低成本的气体传感器的实时，歧视，敏感和低成本的气体传感器的需求越来越大。这些对于非侵入性医学筛查和诊断，环境感应和爆炸物检测所需。但是，像在人类呼吸或环境中发现的复杂气体成分一样，使常规的选择性气体检测具有挑战性。当前的固态传感器虽然低成本和健壮，但在复杂气体组成中的选择性差。这项NSF职业研究计划旨在研究分层二维材料之间层间间隙的气体筛分能力，用于可调，选择性，电气检测气体分子。该项目的教育和宣传目标是通过基于课程的本科研究经验，实习和指导与当地高中的指导参与STEM计划。这项职业建议的研究目标是通过研究和利用无效的电子和sils silene carsene（Sil sil sil econ of 2D epecone）的速度和选择性问题来解决2D epecon的速度和选择性问题。由2D层次过渡金属氧化物（TMO）组成的异质结构。 TMO先天化学选择性和独特的宽层间间距可以在离子上操纵以启用可调的分子筛。此外，可以通过拒绝动力学直径大于有效层间间距的分子来实现复杂气体组成中的选择性气体传感。该程序具有主要的五个任务：（1）研究van der waals Esperaxy在EG上的大规模电沉积； （2）通过结构，电和化学表征来表征和量化合成异质结构的主要感应机制； （3）通过在密度功能理论，数值计算和材料表征的指导下，通过设计和制造与导电/损伤气体传感器的设计和制造评估具有各种插入离子的2D异质结构的气体感应性能； （4）通过不同的分子大小，温度，压力和湿度来测试不同气体组成和条件的传感器性能； （5）基于传感器输出指标开发一种预测算法，以降低与相似大小和阻抗响应分子的可能交叉敏感性，并整合到一个能够基于呼吸的和环境传感的便携式感应平台中。该奖项反映了NSF的立法任务，并被认为是通过基金会的智力优点和广泛的评估来评估的，并且值得通过评估的支持。

项目成果

Green growth of mixed valence manganese oxides on quasi-freestanding bilayer epitaxial graphene-silicon carbide substrates

• DOI: 10.1016/j.mtadv.2024.100467
• 发表时间: 2024-01-26
• 期刊: MATERIALS TODAY ADVANCES
• 影响因子: 10
• 作者: Pedowitz，Michael;Lewis，Daniel;Daniels，Kevin M.
• 通讯作者: Daniels，Kevin M.