Using Py-GC/MS to fingerprint additives associated with paper mill effluent toxicity episodes.

Journal of Environmental Monitoring Pub Date : 2012-10-26 Epub Date: 2012-08-28 DOI:10.1039/c2em30359k
B Bruce Sithole, Jorge Pimentel, Sharon Gibbons, Chu Watanabe
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引用次数: 2

Abstract

Understanding the cause of effluent toxicity is an important requirement for its prevention, remediation and return to compliance. One component of the strategy entails identification and fingerprinting of additives or components in additives that may be the cause of the toxicity episodes. A number of additives used in pulp and papermaking are polymeric compounds that are suspect in effluent toxicity. Their analysis and detection is difficult as they are not amenable to analysis by normal techniques applicable to mill effluents such as gas chromatography. Py-GC/MS is a powerful analytical technique that can be used to fingerprint these additives. The presence of the additives is confirmed by fingerprint pyrograms of the additives (or components in the formulations of the additives) in conjunction with mass spectrometry. The technique has been used to fingerprint and quantify polymeric additives associated with mill effluent toxicity episodes.

采用液相色谱/质谱法测定造纸厂废水毒性事件相关添加剂的指纹图谱。
了解废水毒性的原因是其预防、补救和恢复合规的重要要求。该策略的一个组成部分需要对可能引起毒性事件的添加剂或添加剂中的成分进行鉴定和指纹识别。在纸浆和造纸中使用的一些添加剂是聚合物化合物,在废水毒性方面有嫌疑。它们的分析和检测是困难的,因为它们不适合用气相色谱法等适用于工厂废水的常规技术进行分析。Py-GC/MS是一种功能强大的分析技术,可用于这些添加剂的指纹图谱。添加剂的存在通过结合质谱法的添加剂(或添加剂配方中的成分)的指纹热像图来确认。该技术已用于指纹和量化与工厂废水毒性事件相关的聚合物添加剂。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Environmental Monitoring
Journal of Environmental Monitoring 环境科学-分析化学
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审稿时长
2.3 months
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