高效液相色谱法对色谱峰进行定量分析时,通常需要测量峰高和峰面积,但有时由于未分离色谱峰(如重迭峰、肩峰等)的存在,使测得的数据产生较大偏差。卡尔曼滤波理论是解决这一难题的可靠方法,它是一种最佳滤波法,能滤除噪声与干扰,获得真实信号与参数估计值,本文选取呋喃妥因和呋喃唑酮进行实验,结果表明用卡尔曼滤波法能定量分析未分离高效液相色谱峰,其分辨结果明显优 When HPLC is used for the quantitative analysis of chromatographic peaks, it is usually necessary to measure the peak height and peak area, but sometimes there is a large deviation in the measured data due to the presence of non-separated chromatographic peaks (such as overlapping peaks and acromion peaks). Kalman filter theory is a reliable method to solve this problem. It is an optimal filtering method, which can filter out noise and interference to obtain real signal and parameter estimation. In this paper, we selected the experiments of nitrofurantoin and furazolidone. Filtering method can be used to quantitatively analyze non-separated high performance liquid chromatography peaks, and the distinguishing result is obviously superior