首页> 外文期刊>Journal of separation science. >Method to predict gas chromatographic response factors for the trace-level analysis of volatile organic compounds based on the effective carbon number concept
【24h】

Method to predict gas chromatographic response factors for the trace-level analysis of volatile organic compounds based on the effective carbon number concept

机译:基于有效碳数概念的挥发性有机化合物痕量分析的气相色谱响应因子预测方法

获取原文
获取原文并翻译 | 示例
           

摘要

A procedure has been developed to estimate GC-MS response factors based on the theory of effective carbon number defined as the sum of the carbon number and carbon number equivalent for each selected molecular descriptor (multiplied by its number of occurrences) in each compound'smolecular structure. As ameans to validate the effective carbon number procedure for GC-MS analysis, a test suite of 19 volatile organic compounds was analyzed by the sorbent-tube thermal desorption method. In the effective carbon number procedure, the carbon number equivalent for each descriptor was determined to yield the optimal linear plots between response factor versus the effective carbon number with the maximum R~2 (>0.975) and theminimummean absolute error (<5%). Effective carbon number analysis is validated as a potent approach to estimate response factor values for most compounds amenable to the sorbent-tube thermal desorption GC-MS method. Overall, it is concluded that the application of response factor versus effective carbon number relationship can produce fairly reliable predictionwith reduced errors relative to other comparable procedures such as the response factor versus the carbon number approach.
机译:已经开发了一种程序,用于根据有效碳数理论来估计GC-MS响应因子,有效碳数定义为每种化合物分子中每个选定分子描述符的碳数和碳当量的总和(乘以其出现的次数)结构体。为了验证用于GC-MS分析的有效碳数程序,通过吸附管热脱附方法分析了19种挥发性有机化合物的测试套件。在有效碳数程序中,确定每个描述符的碳数当量,以得出响应因子与有效碳数之间的最佳线性图,其中最大R〜2(> 0.975)和最小毫米波绝对误差(<5%)。有效的碳数分析被认为是评估适用于吸附管热脱附GC-MS方法的大多数化合物的响应因子值的有效方法。总的来说,得出的结论是,与其他可比较的程序(例如,响应因子对碳数方法)相比,应用响应因子对有效碳数关系可以产生相当可靠的预测,并减少了误差。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号