因子分析法在质谱成像数据分析中的应用

Application of Factor Analysis in Imaging Mass Spectrometric Data Analysis

对因子分析法在质谱成像数据分析中的应用进行了研究。本方法分析的质谱成像数据来源于空气动力辅助离子源质谱成像技术,所用样品为含有3种不同颜料(红色、蓝色、黑色)的笔迹样品。对该样品的成像数据进行因子分析后,将成像数据分为了背景、黑色、蓝色和红色因子。分析结果显示,m/z 443.2,478.4,322.2(344.2)分别在红色、蓝色、黑色因子中的贡献值远大于其它质荷比,因此是3种颜料的特征质荷比。此结果与实际情况相符,证明使用因子分析方法对质谱成像数据进行分析和特征提取是可行的。对因子分析与主成分分析的成像数据处理结果进行了比较,结果显示,因子分析可以更简单和定量地对特征质荷比进行取舍,在生物标志物提取、疾病诊断、药理分析等方面有较大的应用潜力。

The factor analysis method applied in imaging mass spectrometry data analysis was studied. The imaging mass spectrometric data were obtained by air flow-assisted ionization imaging mass spectrometry method. The sample contained some symbols which were drawn on slides using three different inks （ red, blue, black） . The imaging data analyzed by factor analysis method were divided into the background, black, blue and red factor. The results showed that the scores of m/z=443. 2, 478. 4, 322. 2（344. 2） in red, blue, black factor respectively were much larger than others. Therefore, they were markers of three inks. The results accorded with actual condition well and proved that the application of factor analysis in imaging mass spectrometric data analysis was feasible. The data analysis results of factor analysis and principal component analysis were compared. The results showed that the target sample markers could be extracted by factor analysis simply and quantitatively. It was of great potential in biomarker extraction, diseases diagnose and pharmacological analysis.