Multiplex detection array with anchored derivatization for environmental monitori

描述：复杂的多分析物蒸汽分析通常使用实验室工具，如气相色谱联用质谱（GC-MS）。然而，这些系统不容易配置为紧凑，低浓度，近实时的环境跟踪蒸汽（例如可穿戴数据记录徽章），这是国家环境健康与安全研究所（NIEHS）的一个明确的技术发展目标。为了满足这一需求，Nanohmics公司，一家早期技术开发公司（Austin， TX）目前正在开发OmniScense检测技术，这是一种低调的气相环境分析设备，用于监测与环境健康和安全相关的空气质量和毒性水平。迄今为止开发的OmniScensor原型设备已被用于识别和量化常见溶剂和其他挥发性有机化合物（VOCs），通过使用纳米压印光刻（NIL）方法进行化学金属氧化物半导体（MOx）阵列的直接电检测。这种方法通过在纳米尺度上控制传感器元件的尺寸，在大浓度动态范围内提供了更大的蒸汽组分选择性和定量能力。现有的商用MOx薄膜或基于复合换能器（例如纳米线、纳米管、金属纳米颗粒和石墨烯）的研究平台不容易实现尺寸控制。除了传感器特征尺寸控制外，进一步的表面衍生化将提供一种方法来区分化学上相似的蒸汽种类（例如，非极性甲苯、二甲苯和己烷），从而实现从高极化载体受体/供体到非极性挥发性气体/有机物的广泛化学功能的复杂分析。

DESCRIPTION: Complex, multi-analyte vapor analysis is routinely achieved using laboratory tools such as gas chromatography combined with mass spectrometry (GC-MS). However, these systems are not readily configurable for compact, low- concentration, near real-time environmental tracking of vapors (e.g. a wearable data logging badge), which is a stated technology development goal of the National Institute of Environmental Health and Safety (NIEHS). To address this need, Nanohmics Inc., an early-stage technology development company (Austin, TX) is currently developing OmniScense detection technology, a low profile, vapor-phase environment analysis device for monitoring air quality and toxicity at levels that are pertinent to environmental health and safety. Prototype OmniScensor devices developed to date have been used to identify and quantify common solvents and other volatile organic compounds (VOCs) via direct electrical detection with chemiresistive metal oxide semiconductor (MOx) arrays patterned using the method of NanoImprint Lithography (NIL). This approach provides greater vapor component selectivity and quantification capabilities over a large concentration dynamic range by controlling the dimensions of the sensor element at the nanoscale. Dimensional control is not readily achieved with existing commercial MOx thin films, or with research platforms based on composite transducers (e.g. nanowires, nanotubes, metal nanoparticles and graphene). In addition to sensor feature size control, further surface derivatization will provide a means to discriminate chemically similar vapor species (e.g. nonpolar toluene, xylene and hexane), thereby enabling complex analysis across the broad set of chemical functionality ranging from highly polarizing carrier acceptors/donators to nonpolar volatile gases/organics.