采用三维荧光光谱技术获得了不同人群尿液的指纹图谱,对24个胃癌病人以及27个健康人的尿样进行了测定,并结合主成分分析的投影判别法和聚类分析法对尿样三维荧光谱的特征参数进行了模式识别研究。结果表明,病人和健康人的尿样存在一定的差异,且主成分分析投影判别法和聚类分析法均能对样品进行较好的分离识别,从而建立了识别癌症病人以及健康人的尿液的新方法。
A new assay of identifying urine was developed based on fingerprint of three - dimensional fluorescence spectrum,and 51 urine samples from 24 gastric cancer patients and 27 healthy people were measured. The techniques of principal component analysis (PCA) and hierarchical cluster analysis (HCA) were used to differentiate and evaluate the character of urines' three - dimensional fluorescence spectra. The results showed that there are some differences in urine from patients and healthy people, and the samples for identification can be separated fairly well by the PCA and HCA.