4.7 Article

A statistical comparison of naphthenic acids characterized by gas chromatography-mass spectrometry

期刊

CHEMOSPHERE
卷 50, 期 10, 页码 1265-1274

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/S0045-6535(02)00763-4

关键词

naphthenic acids; oil sands; t-test; toxicity; gas chromatography-mass spectrometry; mass spectrometry

向作者/读者索取更多资源

Naphthenic acids are complex mixtures of alkyl-substituted acyclic and cycloaliphatic carboxylic acids, with the general chemical formula C2H2n+zO2, where n is the carbon number and Z specifies a homologous family. These acids have a variety of commercial uses, including being used as wood preservatives. They are found in conventional and heavy oils, and in the oil sands of northeastern Alberta, Canada. Naphthenic acids are major contributors to the toxicity of tailings waters that result from the oil sands extraction process. Eight naphthenic acids preparations (four from commercial sources and four from the oil sands operations) were derivatized and analyzed by gas chromatography-mass spectrometry. The composition of each mixture was summarized as a three-dimensional plot of the abundance of specific ions (corresponding to naphthenic acids) versus carbon number (ranging from 5 to 33) and Z family (ranging from 0 to -12). The data in these plots were divided into three groups according to carbon number (group I contained carbon numbers 5-14, group 2 contained carbon numbers 15-21, and group 3 contained carbon numbers 22-33). A t-test, using arcsine-transformed data, was applied to compare corresponding groups in samples from various sources. Results of the statistical analyses showed differences between various commercial naphthenic acids preparations, and between naphthenic acids from different oil sands ores and tailings ponds. This statistical approach can be applied to data collected by other mass spectrometry methods. (C) 2003 Elsevier Science Ltd. 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

4.7
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