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TARGET AND RANK ANNIHILATION FACTOR ANALYSES IN ANALYTICAL CHEMISTRY.

机译:分析化学中的目标和等级歼灭因子分析。

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摘要

Target factor analysis (TFA) error criteria are applied to Fourier transform infrared spectra in order to determine, without any prior knowledge of the experimental error, the number and identities of components in a series of related multicomponent mixtures. The TFA method is also used for quantitative analysis and is compared to regression analysis, which force-fits the data and does not compensate for an impurity of small but measurable quantity. In addition, it is shown how an impurity in a single mixture can be detected, identified, and quantified. An actual experimental example is presented, using solutions of o-xylene, m-xylene, p-xylene, and ethylbenzene in cyclohexane, with chloroform as an impurity.;In order to identify and quantify one or more components in a mixture without having to know the identities of the other components, one generally chromatographs the mixture so that each component of interest is characterized by a non-overlapping peak. Unfortunately, complete chromatographic separation is not always attainable. In such instances, the methods established here, using the ultraviolet (UV) absorbances of poorly resolved liquid chromatographic fractions, should prove to be useful. The methods use TFA to identify and rank annihilation factor analysis (RAFA) to quantify the component(s) of interest. A knowledge of the identifies or amounts of the other components is not required. Only partial chromatographic separation is needed and the component spectra may overlap severely.;TFA and RAFA programs in the APLSF language are developed. A liquid chromatograph, specially designed for RAFA, is described. Such a chromatograph is constructed by extensively modifying an existing model. The feasibility of using this chromatograph to identify and quantify individual components with overlapping spectra in mixtures yielding poorly resolved chromatograms is established. This is done by applying the TFA and RAFA methods to the UV absorbance values of the chromatographic fractions of solutions containing different amounts of o-xylene, ethylbenzene, and p-xylene.;An extra factor appears when the absorbances of the chromatographic fractions of one of the solutions are subjected to abstract factor analysis (AFA), the first step in TFA. The AFA results are used to indicate the fraction containing the UV-absorbing impurity(ies) giving rise to the extra factor.
机译:将目标因子分析(TFA)误差标准应用于傅立叶变换红外光谱,以便在无需对实验误差有任何先验知识的情况下,确定一系列相关的多组分混合物中组分的数量和特性。 TFA方法也用于定量分析,并与回归分析进行比较,后者可以对数据进行强制拟合,并且无法补偿少量但可测量的杂质。此外,显示了如何检测,识别和定量单一混合物中的杂质。给出了一个实际的实验示例,使用邻二甲苯,间二甲苯,对二甲苯和乙苯在环己烷中的溶液,以氯仿作为杂质;为了鉴定和定量混合物中的一种或多种组分而不必已知其他组分的身份后,通常会对混合物进行色谱分析,以使每个目标组分都具有一个不重叠的峰。不幸的是,不能总是实现完全的色谱分离。在这种情况下,此处建立的使用溶解度较差的液相色谱部分的紫外线(UV)吸光度建立的方法应被证明是有用的。该方法使用TFA来识别and灭因子分析(RAFA)并对其进行排名,以量化感兴趣的组分。不需要了解其他成分的标识或数量。仅需要部分色谱分离,并且组分光谱可能会严重重叠。;开发了APLSF语言的TFA和RAFA程序。描述了一种专门为RAFA设计的液相色谱仪。通过广泛修改现有模型来构造这种色谱仪。建立了使用这种色谱仪鉴定和定量混合物中具有重叠光谱的单个组分的可行性,从而产生了较差的色谱图。这是通过将TFA和RAFA方法应用于含有不同量邻二甲苯,乙苯和对二甲苯的溶液的色谱部分的UV吸光度值来完成的;当一个色谱部分的吸光度为1时,会出现一个额外的因素的解决方案要经过抽象因子分析(AFA),这是TFA中的第一步。 AFA结果用于指示含有引起额外因素的紫外线吸收杂质的馏分。

著录项

  • 作者

    MCCUE, MATTHEW.;

  • 作者单位

    Stevens Institute of Technology.;

  • 授予单位 Stevens Institute of Technology.;
  • 学科 Chemistry Analytical.
  • 学位 Ph.D.
  • 年度 1982
  • 页码 185 p.
  • 总页数 185
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 化学;
  • 关键词

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