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使用有限元分析软件优化固相微萃取纤维的时间加权平均空气采样。

Optimization of Time-Weighted Average Air Sampling by Solid-Phase Microextraction Fibers Using Finite Element Analysis Software.

机构信息

Center of Physical Chemical Methods of Research and Analysis, Al-Farabi Kazakh National University, Almaty 050012, Kazakhstan.

Department of Agricultural and Biosystems Engineering, Iowa State University, Ames, IA 50011, USA.

出版信息

Molecules. 2018 Oct 23;23(11):2736. doi: 10.3390/molecules23112736.

Abstract

Determination of time-weighted average (TWA) concentrations of volatile organic compounds (VOCs) in air using solid-phase microextraction (SPME) is advantageous over other sampling techniques, but is often characterized by insufficient accuracies, particularly at longer sampling times. Experimental investigation of this issue and disclosing the origin of the problem is problematic and often not practically feasible due to high uncertainties. This research is aimed at developing the model of the TWA extraction process and optimization of TWA air sampling by SPME using finite element analysis software (COMSOL Multiphysics, Burlington, MA, USA). It was established that sampling by porous SPME coatings with high affinity to analytes is affected by slow diffusion of analytes inside the coating, an increase of their concentrations in the air near the fiber tip due to equilibration, and eventual lower sampling rate. The increase of a fiber retraction depth () resulted in better recoveries. Sampling of studied VOCs using 23 ga Carboxen/polydimethylsiloxane (Car/PDMS) assembly at maximum possible (40 mm) was proven to provide more accurate results. Alternative sampling configuration based on 78.5 × 0.75 mm internal diameter SPME liner was proven to provide similar accuracy at improved detection limits. Its modification with the decreased internal diameter from the sampling side should provide even better recoveries. The results obtained can be used to develop a more accurate analytical method for determination of TWA concentrations of VOCs in air using SPME. The developed model can be used to simulate sampling of other environments (process gases, water) by retracted SPME fibers.

摘要

使用固相微萃取(SPME)测定空气中挥发性有机化合物(VOC)的时间加权平均(TWA)浓度优于其他采样技术,但通常准确度不足,特别是在较长的采样时间内。由于存在高度不确定性,因此对该问题进行实验研究并揭示问题的根源是有问题的,而且通常在实践中不可行。本研究旨在利用有限元分析软件(COMSOL Multiphysics,马萨诸塞州伯灵顿)开发 TWA 萃取过程模型,并通过 SPME 优化 TWA 空气采样。研究结果表明,对具有高亲和力分析物的多孔 SPME 涂层进行采样会受到分析物在涂层内扩散缓慢、纤维尖端附近空气中分析物浓度因平衡而增加以及最终采样速率降低的影响。增加纤维缩回深度()可提高回收率。使用 23 号 Carboxen/聚二甲基硅氧烷(Car/PDMS)组件对研究 VOC 进行采样,(40mm),结果证明可以提供更准确的结果。基于内径为 78.5×0.75mm 的 SPME 衬管的替代采样配置可在提高检测限的情况下提供类似的准确性。从采样侧减小其内径的改进应可提供更好的回收率。所得结果可用于开发使用 SPME 测定空气中 VOC 的 TWA 浓度的更准确分析方法。所开发的模型可用于模拟缩回的 SPME 纤维对其他环境(过程气体、水)的采样。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fdb4/6278546/a66ce661a847/molecules-23-02736-g001.jpg

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