首页> 外文期刊>Journal of chromatography, A: Including electrophoresis and other separation methods >Systematic errors in the measurement of adsorption isotherms by frontal analysis - Impact of the choice of column hold-up volume, range and density of the data points
【24h】

Systematic errors in the measurement of adsorption isotherms by frontal analysis - Impact of the choice of column hold-up volume, range and density of the data points

机译:通过正面分析测量吸附等温线的系统误差-选择色谱柱保留体积,数据点范围和密度的影响

获取原文
获取原文并翻译 | 示例
           

摘要

Besides the accuracy and the precision of the measurements of the data points, several important parameters affect the accuracy of the adsorption isotherms that are derived from the data acquired by frontal analysis (FA). The influence of these parameters is discussed. First, the effects of the width of the concentration range within which the adsorption data are measured and of the distribution of the data points in this range are investigated. Systematic elimination of parts of the data points before the calculation of the nonlinear regression of the data to the model illustrates the importance of the numbers of data points (1) within the linear range and (2) at high concentrations. The influence of the inaccuracy of the estimate of the column hold-up volume on each adsorption data point, on the selection of the isotherm model, and on the best estimates of the adsorption isotherm parameters is also stressed. Depending on the method used to measure it, the hold-up time can vary by more than 10%. The high concentration part of the adsorption isotherm is particularly sensitive to errors made on t(0,exp) and as a result, when the isotherm follows bi-Langmuir isotherm behavior, the equilibrium constant of the low-energy sites may change by a factor 2. This study shows that the agreement between calculated and experimental overloaded band profiles is a necessary condition to validate the choice of an adsorption model and the calculation of its numerical parameters but that this condition is not sufficient. (c) 2005 Elsevier B.V. All rights reserved.
机译:除了数据点的测量精度和精确度外,还有几个重要参数会影响吸附等温线的精度,这些吸附等温线是从额叶分析(FA)获得的数据中得出的。讨论了这些参数的影响。首先,研究了测量吸附数据的浓度范围的宽度以及该范围内数据点分布的影响。在将数据非线性回归到模型之前,系统地消除部分数据点说明了数据点数目(1)在线性范围内和(2)在高浓度下的重要性。还强调了色谱柱滞留量估算值的不准确性对每个吸附数据点,等温线模型的选择以及吸附等温线参数的最佳估算的影响。根据测量方法的不同,保持时间的差异可能会超过10%。吸附等温线的高浓度部分对t(0,exp)上的误差特别敏感,因此,当等温线遵循双朗缪尔等温线行为时,低能位的平衡常数可能会变化一个因子2.这项研究表明,计算出的和实验的过载谱带之间的一致性是验证吸附模型选择及其数值参数计算的必要条件,但是这种条件是不够的。 (c)2005 Elsevier B.V.保留所有权利。

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