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Multiple Detection in Size-Exclusion Chromatography of Macromolecules

机译:大分子尺寸排阻色谱中的多重检测

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Chemical and physical detectors characterize the distributions of macromolecular parameters that have a critical effect on the end product. Synthesizing polymers is not as exact a science as we would like it to be. Natural syntheses and even well-controlled laboratory syntheses often yield macromolecules that vary in length, molar mass, branching, chemical composition, and other properties. Characterizing these properties and their distributions is important because of their critical effect on end-use structure-property relations and, hence, on the end product itself. The most commonly studied properties are the molar mass averages (M_(n), M_(w), M_(z), etc.) and the molar mass distribution (MMD). Various processing characteristics of macromolecules can be related to the individual averages, for example, flow properties and brittleness (related to M_(n)) and flex life and stiffness (related to M_(z)). Similarly, properties such as tensile strength and abrasion resistance tend to increase as MMD narrows, and properties such as elongation and yield strength tend to increase as MMD broadens. During the past four decades, size-exclusion chromatography (SEC) has been established as the premier method for characterizing M averages and the distribution of natural and synthetic polymers. Equally important, or more important, is the ability of SEC to characterize the distributions of many other macromolecular parameters (Table 1). This ability is imparted by the many analytical techniques that serve as detection methods and that are the primary subject of this article (1). Because of space limitations, this article will focus on SEC as the sole separation method prior to detection and ignore its growing role in 2-D LC. Detection methods will be divided into two classes. Chemical detectors, such as UV-vis (when not used as a concentration-sensitive detector), IR, NMR, and MS, usually combine in additive fashion. Physical detectors, such as the viscometer (VISC) and light-scattering (LS) photometers, on the other hand, can combine in synergistic fashion. Some detectors appear to bridge the gap between classes; for example, IR and NMR can function as either chemical or physical detectors. The type of information provided by each class will be explored. Because of the large number of detectors covered here, it is impossible to include an explanation of the fundamentals of each. Many excellent reference sources exist on SEC, as well as on each of the individual topics (2, 3); a few relevant references are given where appropriate.
机译:化学和物理检测器表征了对最终产品具有关键影响的大分子参数的分布。合成聚合物并不像我们希望的那样精确。天然合成甚至控制良好的实验室合成通常会产生长度,摩尔质量,支链,化学组成和其他性质不同的大分子。表征这些特性及其分布非常重要,因为它们对最终用途的结构-属性关系以及最终产品本身具有至关重要的影响。最常研究的性质是摩尔质量平均值(M_(n),M_(w),M_(z)等)和摩尔质量分布(MMD)。大分子的各种加工特性可以与单个平均值相关,例如,流动性和脆性(与M_(n)有关)以及挠曲寿命和刚度(与M_(z)有关)。类似地,随着MMD变窄,诸如拉伸强度和耐磨性的性质倾向于增加,并且随着MMD变宽,诸如伸长率和屈服强度的性质倾向于增加。在过去的四十年中,尺寸排阻色谱法(SEC)被确立为表征M均值以及天然和合成聚合物分布的主要方法。同样重要,或更重要的是,SEC表征许多其他大分子参数分布的能力(表1)。此功能是由许多检测技术赋予的,这些技术是本文的主要主题(1)。由于篇幅所限,本文将重点放在SEC作为检测之前的唯一分离方法上,而忽略了它在二维LC中日益重要的作用。检测方法将分为两类。化学检测器,例如UV-vis(不用作浓度敏感检测器),IR,NMR和MS,通常以加法方式组合。另一方面,诸如粘度计(VISC)和光散射(LS)光度计之类的物理检测器可以以协同方式结合在一起。一些检测器似乎弥合了类之间的鸿沟。例如,IR和NMR可以用作化学或物理检测器。将探讨每个班级提供的信息类型。由于此处涵盖了许多检测器,因此无法对每个检测器的基本原理进行解释。美国证券交易委员会(SEC)以及每个主题(2,3)都有许多出色的参考资料。在适当的地方给出了一些相关的参考文献。

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