首页> 外文会议>National SBIR/STTR conference;Annual nanotech conference and expo;Annual TechConnect world innovation conference expo >Assessing Chemical Agent Decontamination Efficacy of a Nanostructured Fabric using Headspace and Split/Splitless Injection Gas Chromatography and Mass Spectrometry (GC-MS)
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Assessing Chemical Agent Decontamination Efficacy of a Nanostructured Fabric using Headspace and Split/Splitless Injection Gas Chromatography and Mass Spectrometry (GC-MS)

机译:使用顶空和分流/不分流进样气相色谱和质谱(GC-MS)评估纳米结构织物的化学剂去污功效

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Warfighter protection is of substantial concern for the military. We developed a multifunctional and nanostructured decontamination material with the capabilities to adsorb and photocatalytically degrade chemical agents. We envision our material being incorporated into personal protective equipment and uniforms. The decontamination material is photo-active and upon exposure to ultraviolet (UV) light readily degrades the target simulant into a simple non-lethal chemical compound. Adsorption of the chemical agent simulant, reactivity, degradation, and formation of resultant degradation products were all monitored by Gas Chromatography and Mass Spectrometry (GC/MS). We developed a reproducible method to monitor the efficacy of the decontamination material with GC/MS using a split/splitless liquid injection technique. This technique is superior to direct injection of headspace vapors which does not allow determination of whether analyte vapors are sufficiently and homogenously partitioned into the headspace. Liquid injections allow us to assess optimal linearity of chemical simulant and response factor. This technique allows direct quantification of unknown concentration amounts based on the calibration curve of the analyte.
机译:战斗机保护对军队有很大关注。我们开发了一种多功能和纳米结构的去污材料,具有吸附和光催化降解化学试剂的能力。我们设想我们的材料被纳入个人防护设备和制服。去污材料是光活性的,并且在暴露于紫外(UV)之后,浅色易于将靶模拟剂降解成简单的非致死化学化合物。所有通过气相色谱和质谱(GC / MS)监测化学试剂模拟物,反应性,降解和形成所得降解产物的形成。我们开发了一种可重复的方法,用于使用分裂/不分开的液体喷射技术监测与GC / MS的去污材料的功效。该技术优于直接注射顶部空间蒸汽,这不允许测定分析物蒸汽是否充分和均匀地分配到顶部空间中。液体注射允许我们评估化学模拟剂和响应因素的最佳线性。该技术允许基于分析物的校准曲线直接定量未知浓度量。

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