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基于前后向拟合的色谱重叠峰分峰方法
引用本文:高文清,张俊良,王艳,刘蔓,Hu JunJack,俞建成,Tang keqi.基于前后向拟合的色谱重叠峰分峰方法[J].质谱学报,2018,39(5):607-614.
作者姓名:高文清  张俊良  王艳  刘蔓  Hu JunJack  俞建成  Tang keqi
作者单位:1.宁波大学信息科学与工程学院,浙江 宁波315211;2.中国人民解放军陆军总医院,北京100700;3.中国科学院宁波材料技术与工程研究所,浙江 宁波315201
摘    要:针对色谱峰重叠导致定量分析误差大的问题,提出了基于前后向拟合的色谱重叠峰分离方法。通过多次前后向拟合迭代,不断逼近第一个单峰的前沿和第二个单峰的后沿,当计算误差达到设定值时停止迭代;再根据色谱重叠峰相似性原理,分别得到第一个单峰的后沿和第二个单峰的前沿,此时重叠峰即被分离为两个单峰。为了验证前后向拟合算法的有效性,设计了不同重叠程度的色谱峰分离仿真实验,并采用气相色谱 质谱法实测对二甲苯和间二甲苯的分离,并与常规的垂线法、交点垂线法、比例分配法的计算误差进行对比。结果表明,常规方法的最大误差达到29.92%,而前后向拟合方法则可以将误差稳定在1.8%范围内,具有一定的定量分析优势。

关 键 词:色谱  重叠峰  前后向拟合  定量分析  相似性原理  

Decomposition Peak Method of Overlapping Chromatographic Peaks Based on Forward-Backward Fitting
GAO Wen-qing,ZHANG Jun-liang,WANG Yan,LIU Man,HU JunJack,YU Jian-cheng,TANG Keqi.Decomposition Peak Method of Overlapping Chromatographic Peaks Based on Forward-Backward Fitting[J].Journal of Chinese Mass Spectrometry Society,2018,39(5):607-614.
Authors:GAO Wen-qing  ZHANG Jun-liang  WANG Yan  LIU Man  HU JunJack  YU Jian-cheng  TANG Keqi
Affiliation:1.Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo 315211, China;2.The Army General Hospital of the Chinese People’s Liberation Army, Beijing 100700, China;3.Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China
Abstract:Aiming to the chromatograph existing overlapped peaks that impacted the quantitative analysis, the method of overlapped peak resolution based on forward-backward fitting was researched. The method included two procedures: forward fitting and backward fitting. It started the first forward fitting from the point which was far away from the overlapping area, the peak point and back edge of back single peak were modified by the gradual fitting. Then, based on results obtained by the first forward fitting, the first backward fitting was conducted with the similar process and the peak point and front edge of front single peak were also modified. Multiple times of complete forward fitting and backward fitting were implemented with above steps. After multiple iterations, the results continuously approached front edge of the front single peak and back edge of the back single peak. When the calculation error reached to the set value, the iteration was stopped. Then, according to the similarity principle of chromatographic overlapping peaks, the back edge of the front single peak and the front edge of the back single peak were obtained respectively. So the overlapping peak was separated into two single peaks. Because the ratios of peak height, resolutions and tailed factors had great influence on the overlapping chromatographic peaks. The simulation experiments were designed from these three aspects to verify the forward-backward fitting method. At the same time, in order to further validate the effectiveness of the forward-backward fitting algorithm, separation experiments of p-xylene and m-xylene measured by gas chromatography mass spectrometry were designed. At last, the forward-backward fitting method with perpendicular-drop method, intersection vertical method and proportional distribution method were compared. The results suggested that the error of the forward-backward fitting method was less than 1.8%, while the maximal error of other three methods reached to 29.92%. In addition, from the point of view of the processes of four methods, the proposed method didn’t rely on two maximums of overlapped peaks and could handle various types of the overlapping peaks with a higher accuracy. The proposed method can counterbalance the shortcomings of three methods. Therefore, with wider applicable peak shapes and higher accuracy, the forward backward method has certain quantitative analysis advantages and can be better applied to quantitative analysis of complex components.
Keywords:chromatography  overlapped peaks  forward-backword fitting  quantitative analysis  similarity principle  
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