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Analysis of trace contaminants in hot gas streams using time-weighted average solid-phase microextraction: Proof of concept

机译:使用时间加权平均固相微萃取技术分析热气流中的痕量污染物:概念验证

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摘要

Time-weighted average (TWA) passive sampling using solid-phase microextraction (SPME) and gas chromatography was investigated as a new method of collecting, identifying and quantifying contaminants in process gas streams. Unlike previous TWA-SPME techniques using the retracted fiber configuration (fiber within needle) to monitor ambient conditions or relatively stagnant gases, this method was developed for fast-moving process gas streams at temperatures approaching 300 °C. The goal was to develop a consistent and reliable method of analyzing low concentrations of contaminants in hot gas streams without performing time-consuming exhaustive extraction with a slipstream. This work in particular aims to quantify trace tar compounds found in a syngas stream generated from biomass gasification. This paper evaluates the concept of retracted SPME at high temperatures by testing the three essential requirements for TWA passive sampling: (1) zero-sink assumption, (2) consistent and reliable response by the sampling device to changing concentrations, and (3) equal concentrations in the bulk gas stream relative to the face of the fiber syringe opening. Results indicated the method can accurately predict gas stream concentrations at elevated temperatures. Evidence was also discovered to validate the existence of a second boundary layer within the fiber during the adsorption/absorption process. This limits the technique to operating within reasonable mass loadings and loading rates, established by appropriate sampling depths and times for concentrations of interest. A limit of quantification for the benzene model tar system was estimated at 0.02 g m−3 (8 ppm) with a limit of detection of 0.5 mg m−3 (200 ppb). Using the appropriate conditions, the technique was applied to a pilot-scale fluidized-bed gasifier to verify its feasibility. Results from this test were in good agreement with literature and prior pilot plant operation, indicating the new method can measure low concentrations of tar in gasification streams.
机译:研究了使用固相微萃取(SPME)和气相色谱的时间加权平均值(TWA)被动采样,作为一种收集,识别和量化工艺气流中污染物的新方法。与以前的TWA-SPME技术不同,该技术使用缩回的光纤配置(针内的光纤)来监视环境条件或相对停滞的气体,该方法是为在温度接近300°C的快速移动过程气流而开发的。目的是开发一种一致而可靠的方法,以分析热气流中的低浓度污染物,而无需使用耗时的滑流进行详尽的萃取。这项工作尤其旨在量化从生物质气化产生的合成气流中发现的痕量焦油化合物。本文通过测试TWA被动采样的三个基本要求来评估高温下SPME的概念:(1)零沉假设,(2)采样设备对浓度变化的一致和可靠的响应,以及(3)相等相对于纤维注射器开口的表面,大量气流中的浓度较高。结果表明,该方法可以准确预测高温下的气流浓度。还发现有证据证明在吸附/吸收过程中纤维内第二边界层的存在。这将技术限制在合理的质量负载和负载速率下运行,该负载由合适的采样深度和感兴趣浓度的时间确定。苯模型焦油系统的定量限估计为0.02 g m-3(8 ppm),检测限为0.5 mg m-3(200 ppb)。在适当的条件下,将该技术应用于中试规模的流化床气化炉以验证其可行性。该测试的结果与文献和先前的中试工厂运行非常吻合,表明该新方法可以测量气化流中低浓度的焦油。

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