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为了快速准确地计算出混合物中各单组份的含量.本文提出可用于紫外分光光度法中的蒙特卡罗面积拟合算法.它首先把混合物中各单组份的标准光谱下的面积(某波长区间范围内),配以一定的比例系数,再用这些系数和各组份标准光谱的面积相乘的总和去近似地拟合实测混合物的光谱的面积,然后用蒙特卡罗随机搜索法去求解得到一组误差最小的最佳比例系数值,从而求出混合物中各单组份的含量.其误差一般可控制在±2.0%以内.
In order to quickly and accurately calculate the content of each single component in the mixture, a Monte Carlo area fitting algorithm that can be used in UV spectrophotometry is proposed in this paper.Firstly, the area under the standard spectrum Wavelength range), with a certain proportion of coefficient, and then use these coefficients and each component of the standard spectral area multiplied by the sum to approximate the area of the measured mixture of the spectrum, and then use the Monte Carlo random search method to go Solve a set of the smallest proportion of the best value of the coefficient of error to determine the content of each single component mixture.The error can be generally controlled within ± 2.0%.