4.6 Article

Automated method for short-chain aldehydes emission measurement by dynamic solid-phase microextraction on-fiber derivatization GC-MSD coupled with a flow-cell

期刊

JOURNAL OF CHROMATOGRAPHY A
卷 1671, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.chroma.2022.462996

关键词

Dynamic solid -phase microextraction; Short chain aldehydes; On-line analysis; Polyurethane foam

向作者/读者索取更多资源

A novel automated method was developed for testing short-chain aldehyde emissions using a chamber and a flow-cell coupled with dynamic solid-phase microextraction (SPME) on-fiber derivatization technique. This method provides comparable or even better repeatability and sensitivity compared to traditional techniques, and allows for studying short-chain aldehyde emissions from multiple samples in one experiment.
A novel automated method was developed to test short-chain aldehyde emissions using a chamber and a flow-cell coupled with a dynamic solid-phase microextraction (SPME) on-fiber derivatization technique. Calibration curves of short-chain aldehydes were developed for quantitation of target analytes, includ-ing formaldehyde, acetaldehyde, propionaldehyde, and acrolein emitted from the chamber outlet. The linearity range for the aldehydes was 0.8 to 2130.0 mu g/m(3). The limits of quantitation (LOQ) for various aldehydes ranged from similar to 0.2 - 1.9 mu g/m(3). By using this method, emission rate curves are measured with an automated system. Compared with a traditional 2,4-dinitrophenyl hydrazine (DNPH)-high performance liquid chromatography (HPLC) method for aldehyde emission measurement, this method provided an automated technique to study the emission of short-chain aldehydes from multiple samples in one experiment. Furthermore, by using dynamic SPME coupled to an on-fiber derivatization technique, the repeatability and sensitivity of the method is comparable and even better than traditional techniques. (c) 2022 Elsevier B.V. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据