论文部分内容阅读
红外光谱示差分析早就有不少应用。但过去的示差分析方法是采用改变参比样品的浓度或厚度来获得示差光谱的,这只适用于溶液样品,同时还需要作补偿的标准样品,补偿又很难做到完全。故应用受到了限制。七十年代后期,红外分光光度计与计算技术联用得到了发展,使许多老的技术、方法有了新的突破。例如本文采用的计算机示差分析只要有二幅适于做示差处理的光谱(不一定需要补偿用的标准样品),便可反复进行计算处理,故容易做到补偿完全。这种谱信息的示差处理不同于化学分离,它虽得不到纯的化合物,却能得到纯化合物的光谱,且在一定程度上能解决化学分离不能解决的问题。这些都为示差技术应用提供了广阔的前景。本文介绍二个较成功的红外光谱计算机示差方法实例。
Infrared spectrum differential analysis has long been a lot of applications. However, in the past, the method of differential analysis was used to obtain the differential spectrum by changing the concentration or thickness of the reference sample. This method was only applicable to the solution sample, but also required a standard sample for compensation, which was difficult to compensate completely. Therefore, the application has been limited. The late seventies, infrared spectrophotometer and computing technology has been developed, so that many old technologies and methods have made new breakthroughs. For example, the computer analysis of differential analysis used in this paper, as long as there are two spectrum for differential processing (do not necessarily need to compensate for the standard sample), can be repeated calculation, it is easy to compensate completely. The spectral information of the differential treatment is different from chemical separation, although it can not be pure compounds, but can be pure compounds spectrum, and to some extent to solve the problem can not be solved by chemical separation. All of these have provided broad prospects for the application of differential techniques. This article describes two more successful infrared spectrum computer differential method examples.