Suppr超能文献

使用时间加权平均固相微萃取分析热气流中的痕量污染物:概念验证。

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

机构信息

Iowa State University, Center for Sustainable Environmental Technologies (CSET), 3122 Biorenewables Research Laboratory (BRL), Ames, IA 50011, USA.

出版信息

J Chromatogr A. 2013 Mar 15;1281:1-8. doi: 10.1016/j.chroma.2013.01.036. Epub 2013 Jan 16.

Abstract

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.

摘要

时间加权平均(TWA)被动采样使用固相微萃取(SPME)和气相色谱被研究作为一种新的方法来收集、识别和量化过程气流中的污染物。与以前使用缩回纤维配置(纤维在针内)来监测环境条件或相对静止气体的 TWA-SPME 技术不同,这种方法是为接近 300°C 的快速移动的过程气流而开发的。目标是开发一种一致和可靠的方法来分析热气流中低浓度的污染物,而无需进行耗时的全萃取。这项工作特别旨在量化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缩回 SPME 的概念:(1)零吸收假设,(2)采样装置对浓度变化的一致和可靠响应,以及(3)相对于纤维注射器开口面的主体气流中的浓度相等。结果表明,该方法可以准确预测高温下的气流浓度。还发现了在吸附/吸收过程中纤维内存在第二个边界层的证据。这限制了该技术在合理的质量负载和负载速率内运行,这是通过适当的采样深度和时间来确定的。苯模型焦油系统的定量下限估计为 0.02 g m(-3)(8 ppm),检测限为 0.5 mg m(-3)(200 ppb)。使用适当的条件,该技术被应用于中试流化床气化炉以验证其可行性。该测试的结果与文献和以前的中试工厂运行结果一致,表明该新方法可以测量气化流中的低浓度焦油。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验