SBIR Phase I: Multi-Step Sequential Processing of Gas Ions for Identifying Volatile Organic Compounds in Recirculated Air of Energy Efficient Buildings

SBIR 第一阶段：气体离子的多步骤顺序处理，用于识别节能建筑循环空气中的挥发性有机化合物

• 批准号: 2035894
• 负责人: Peter Fowler
• 金额: $ 25.54万
• 依托单位: GP IONICS LLC
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-03-15 至 2023-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2035894&HistoricalAwards=false
• 关键词: SBIR; Phase; Multi; Step; Sequential

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project is to improve human health, energy savings, and improved environment. Increased urbanization worldwide and demand for high quality, comfortable ambient air environments is expected to drive an existing market for improved heating, ventilation, and air conditioning (HVAC) systems estimated at $12 billion nationally and $190 billion worldwide by 2026. Respiratory disease and human illness are attributed to unregulated amounts of these constituents in indoor air. This project will inform users about the concentrations and identities of volatile organic compounds (VOCs) in recirculated indoor air from energy-efficient HVAC systems. This will inform clinical analyses of disease, industrial process monitoring, screening of food purity and authenticity, and commercial aviation security. This SBIR Phase I project will leverage discoveries in the chemistry of ion fragmentation in strong electric fields in air at ambient pressure and the association of these fragments with molecular identity. Additional merit is derived from algorithms for identification of ion spectra, dependences of fragmentation on electric field strength, and processes to handle ions both in the initial step of ion selection and the final stage of fragment ion analysis. This will be a novel exploration of strong electric field fragmentation of gas ions at ambient pressure. Research objectives include tasks to establish broad understanding of mechanisms of ion fragmentation of volatile organic compounds as gas ions at ambient pressure and establishing autonomous molecular identification using spectral profiles from mobility analysis. The research is organized into three phases including the development of efficient, advanced control of ion fragmentation, the discovery of chemical rules governing ion fragmentation, and the integration of artificial intelligence with chemical instrumentation developed in this project. The key technical result anticipated in this project is a chemical analyzer for autonomous monitoring of the quality of recirculated indoor air in green heating, ventilation, and air conditioning systems in green buildings.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.

这项小型企业创新研究（SBIR）I期项目的更广泛的影响/商业潜力是改善人类健康，节能和改善的环境。 全球范围内的城市化增加，对高质量，舒适的环境环境的需求有望推动现有市场，以改善供暖，通风和空调（HVAC）系统估计为全国120亿美元，到2026年全球范围为120亿美元。呼吸道疾病和人类疾病被归因于这些成员在Indoor Airer Air的无管制。该项目将告知用户从节能HVAC系统中循环室内空气中挥发性有机化合物（VOC）的浓度和身份。这将为疾病，工业过程监测，粮食纯度和真实性的筛查以及商业航空安全的临床分析提供信息。 该SBIR I期项目将在空气中在环境压力下强烈电场的离子碎片化学中的发现以及这些碎片与分子身份的关联。 额外的优点来自用于鉴定离子光谱的算法，碎片化对电场强度的依赖以及在离子选择的第一步和碎片离子分析的最后阶段处理离子的过程。 这将是对环境压力下气体离子强烈的电场碎片化的新探索。 研究目标包括在环境压力下作为气体离子作为气体离子的离子碎片机制建立广泛理解的任务，并使用迁移率分析中的光谱曲线来建立自主分子鉴定。 这项研究分为三个阶段，包括开发离子碎片的高效，高级控制，涉及离子碎片化的化学规则的发现以及该项目中开发的化学仪器的整合。 该项目预期的关键技术结果是一种化学分析仪，用于自主监测绿色建筑物中绿色供暖，通风和空调系统中再循环室内空气质量的质量。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的智力和更广泛影响的评估来通过评估来获得支持的。

项目成果

Neural network classification of mobility spectra for volatile organic compounds using tandem differential mobility spectrometry with field induced fragmentation

使用串联微分迁移谱法和场诱导碎裂对挥发性有机化合物的迁移谱进行神经网络分类

• DOI: 10.1016/j.aca.2023.341047
• 发表时间: 2023
• 期刊: Analytica Chimica Acta
• 影响因子: 6.2
• 作者: Fowler, P.E.;Bernat, T.;Pilgrim, J.Z.;Eiceman, G.A.
• 通讯作者: Eiceman, G.A.