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工作曲线法是分析化学中最为常用的定量计算方法之一,但是绘制工作曲线和求解被测组分的数据处理过程较为繁琐。利用计算机编程,对工作曲线进行插值法处理来求解未知分析样品的含量,不仅可以提高数据分析的速度,而且也增加了数据处理的合理性,因此这方面的工作已经引起了广大分析工作者的重视。由于分析方法本身的局限性和测试仪器的不足,以及试剂、人为因素的影响,工作曲线往往偏离直线,不少分析工作者作了很多尝试,设计了一系列的线性和非线性的拟合方法。林添明等对工作曲线中最常见的高浓度和低浓度区域的偏离现象,采用了分段拟合的办法。本文提出了用插值法处理工作曲线,无论那种偏离的工作曲线,本法均适用。这种方法能广泛地应用于吸光光度、原子光谱、荧光分析、电化学分析等分析方法中的工作曲线的处理。1 插值法原理在通常情况下,我们试验所得的是一组由(xi,yi)组成的数据组,通过这些点绘出一条光滑的曲线,即构造某个连续函数:
Working curve method is one of the most commonly used quantitative methods in analytical chemistry, but drawing the working curve and solving the data processing of the measured components is more complicated. The use of computer programming, the interpolation of the working curve to solve the unknown analysis of the sample content, not only can improve the speed of data analysis, but also increased the rationality of data processing, so this work has caused the majority of analysts Pay attention. Due to the limitations of the analytical method and the lack of test equipment, as well as reagents, human factors, the working curve is often deviated from the straight line, many analysts made a lot of attempts to design a series of linear and nonlinear fitting method . Lin Tian-ming and other works on the curve of the most common high-concentration and low concentrations of regional deviation, using a piecewise fitting approach. In this paper, we propose to use the interpolation method to process the working curve, no matter what kind of deviation from the working curve, this law are applicable. This method can be widely used in the processing curve of absorbance, atomic spectroscopy, fluorescence analysis, electrochemical analysis and other analytical methods. 1 Principle of Interpolation In general, we experimentally obtain a set of data sets consisting of (xi, yi) from which a smooth curve is drawn, that is, to construct a continuous function: