首页> 外文期刊>Journal of Chromatographic Science >Measurement of Gas-liquid Partition Coefficient and Headspace Concentration Profiles of Perfume Materials by Solid-Phase Microextraction and Capillary Gas Chromatography-Mass Spectrometry
【24h】

Measurement of Gas-liquid Partition Coefficient and Headspace Concentration Profiles of Perfume Materials by Solid-Phase Microextraction and Capillary Gas Chromatography-Mass Spectrometry

机译:固相微萃取和毛细管气相色谱-质谱法测量香水材料的气液分配系数和顶空浓度曲线

获取原文
获取原文并翻译 | 示例
       

摘要

An empirical model describing the relationship between the partition coefficients (K) of perfume materials in the solid-phase microextraction (SPME) fiber stationary phase and the Linearly Temperature Programmed Retention Index (LTPRI) is obtained. This is established using a mixture of eleven selected fragrance materials spiked in mineral oil at different concentration levels to simulate liquid laundry detergent matrices. Headspace concentrations of the materials are measured using both static headspace and SPME-gas chromatography analysis. The empirical model is tested by measuring the K values for fourteen perfume materials experimentally. Three of the calculated K values are within 2-19% of the measured K value, and the other eleven calculated K values are within 22-59%. This range of deviation is understandable because a diverse mixture was used to cover most chemical function lities in order to make the model generally applicable. Better prediction accuracy is expected when a model is established using a specific category of compounds, such as hydrocarbons or aromatics. The use of this method to estimate distribution constants of fragrance materials in liquid matrices is demonstrated. The headspace SPME using the established relationship between the gas-liquid partition coefficient and the LTPRI is applied to measure the headspace concentration of fragrances. It is demonstrated that this approach can be used to monitor the headsapce perfume profiles over consumer laundry and cleaning products. This method can provide high sample throughput, reproducibility, simplicity, and accuracy for many applications for screening major fragrance materials over consumer products. The approach demonstrated here can be used to translate headspace SPME results into ture static headsapce concentration profiles. This translation is critical for obtaining the gas-phase composition by correcting for the inherent differential partitioning of analytes into the fiber stationary phase.
机译:获得了描述固相微萃取(SPME)纤维固定相中香料材料分配系数(K)与线性程序升温保留指数(LTPRI)之间关系的经验模型。这是通过将11种选定的香料加到矿物油中的不同浓度水平的混合物来模拟液体洗衣洗涤剂基质而建立的。使用静态顶空和SPME气相色谱分析法测量材料的顶空浓度。通过实验测量14种香料材料的K值来测试经验模型。计算出的K值中的三个在测得的K值的2-19%之内,其他11个计算的K值在22-59%的范围内。这个偏差范围是可以理解的,因为为了使模型普遍适用,使用了多种混合物来覆盖大多数化学功能。当使用特定类别的化合物(例如碳氢化合物或芳香族化合物)建立模型时,预期会有更好的预测准确性。证明了使用这种方法来估计香料在液体基质中的分布常数。使用在气液分配系数和LTPRI之间建立的关系的顶空SPME用于测量香料的顶空浓度。事实证明,该方法可用于监控消费类洗衣和清洁产品中的头皮香料轮廓。对于在消费类产品上筛查主要香料材料的许多应用,此方法可提供高样品通量,重现性,简便性和准确性。此处演示的方法可用于将顶空SPME结果转换为静态静态顶装浓度曲线。对于通过校正分析物向纤维固定相的固有差异分配来获得气相组成,这种转化至关重要。

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