首页> 外文期刊>Journal of Analytical Methods in Chemistry >Distinction and quantification of carry-over and sample interaction in gas segmented continuous flow analysis
【24h】

Distinction and quantification of carry-over and sample interaction in gas segmented continuous flow analysis

机译:气体分段连续流分析中残留和样品相互作用的区分和定量

获取原文
       

摘要

The formulae for calculation of carry-over and sample interaction are derived for the first time in this study. A scheme proposed by Thiers et al. (two samples of low concentration followed by a high concentration sample and low concentration sample) is verified and recommended for the determination of the carry-over coeffcient. The derivation demonstrates that both widely used schemes of a high concentration sample followed by two low concentration samples, and a low concentration sample followed by two high concentration samples actually measure the sum of the carry-over coeffcient and sample interaction coefficient. A scheme of three low concentration samples followed by a high concentration sample is proposed and verified for determination of the sample interaction coeffcient. Experimental results indicate that carry-over is a strong function of cycle time and a weak function of ratio of sample time to wash time. Sample dispersion is found to be a function of sample time. Fitted equations can be used to predict the carry-over, absorbance and dispersion given sample times, and wash times for an analytical system. Results clearly show the important role of intersample air segmentation in reducing carry-over, sample interaction and dispersion.
机译:本研究首次推导了残留物和样品相互作用的计算公式。 Thiers等人提出的方案。验证(两个低浓度样品,然后是高浓度样品和低浓度样品),并推荐用于确定残留系数。该推导表明,广泛使用的高浓度样品然后是两个低浓度样品的方案,以及低浓度样品之后是两个高浓度样品的方案,实际上都测量了残留系数和样品相互作用系数的总和。提出了一个由三个低浓度样品接着一个高浓度样品组成的方案,并进行了验证,以测定样品的相互作用系数。实验结果表明,残留是循环时间的强函数,而样品时间与洗涤时间之比的函数弱。发现样品分散是样品时间的函数。拟合方程可用于预测给定的样品时间和分析系统的清洗时间的残留,吸光度和色散。结果清楚地表明了样品间空气分割在减少残留,样品相互作用和分散中的重要作用。

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