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.

该奖项的全部或部分资金来源于《2021 年美国救援计划法案》（公法 117-2）。为了促进人类健康，对实时、有区别、灵敏且低成本的气体传感器的需求日益增长和不断变化的世界中的安全。这些是非侵入性医疗筛查和诊断、环境传感和爆炸物检测所需要的。然而，复杂的气体成分，例如人类呼吸或环境中发现的气体成分，使传统的选择性气体检测变得具有挑战性。目前的固态传感器虽然成本低且坚固耐用，但在复杂气体成分中的选择性较差。这项 NSF 职业研究计划旨在研究层状二维材料之间的层间间隙的气体筛分能力，以实现气体分子的可调谐、选择性电检测。该项目的教育和推广目标是通过基于课程的本科生研究经验、实习和当地高中的指导，让代表性不足的少数群体参与 STEM 项目。该职业提案的研究目标是解决低成本的速度和选择性问题通过研究和利用碳化硅上二维外延石墨烯 (EG) 无与伦比的电子和传感特性以及由二维层状过渡金属氧化物组成的异质结构，开发固态气体传感器（TMO）。 TMO 固有的化学选择性和独特的宽层间距可以通过离子控制来实现可调分子筛。此外，复杂气体成分中的选择性气体传感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。该项目主要有五项任务：（1）研究通过范德华外延在EG上大规模电沉积TMOs； （2）通过结构、电学和化学表征来表征和量化合成异质结构的主要传感机制； (3) 在密度泛函理论、数值计算和材料表征的指导下，通过设计和制造电导/阻抗气体传感器来评估具有各种嵌入离子的二维异质结构的气体传感性能； (4) 通过改变分子大小、温度、压力和湿度来测试传感器针对不同气体成分和条件的性能； (5) 开发一种基于传感器输出指标的预测算法，以减少与相似尺寸和阻抗响应的分子可能发生的交叉敏感性，并集成到能够进行基于呼吸和环境传感的便携式传感平台中。该奖项反映了 NSF 的法定使命和通过使用基金会的智力价值和更广泛的影响审查标准进行评估，该项目被认为值得支持。

项目成果

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

混合价锰氧化物在准独立双层外延石墨烯-碳化硅衬底上的绿色生长

• DOI: 10.1016/j.mtadv.2024.100467
• 发表时间: 2024-03-01
• 期刊: Materials Today Advances
• 影响因子: 10
• 作者: Michael Pedowitz;Daniel Lewis;Jennifer DeMell;Daniel J. Pennachio;J. Hajzus;Rachael L. Myers;Soaram Kim;Kevin M. Daniels
• 通讯作者: Kevin M. Daniels