摘要
采用顶空固相微萃取(HS-SPME)与气相色谱-质谱(GC-MS)联用技术,对12例卵巢癌、17例成熟型畸胎瘤与16例正常血液样本的挥发性组分进行研究,对影响提取效果的实验因素进行了优化。在最优条件下共检出28种挥发性组分,以各组分峰面积为变量,用SIMCA-P软件进行偏最小二乘判别分析(PLS-DA),3组样本被明显区分。同时,依据PLS-DA载荷图得到8种具有显著性差异的标志物,其中己醛、蘑菇醇的变化与其在肝癌、肺癌患者血液中的变化一致,可作为诊断卵巢癌和成熟型畸胎瘤的挥发性生物标志物。
Headspace solid phase microextraction （HS-SPME） coupling with gas chromatography-mass spectrometry （GC-MS） was used to investigate the volatile compositions in the blood of ovarian cancer patients （n= 12）, mature teratoma patients （n = 17 ） and normal people （n = 16 ）. The extraction conditions were optimized and 28 compounds were obtained in total. The three groups were further analysed by partial least squares-discriminant analysis （PLS-DA） with SIMCA-P software and obviously distinguished by the score plots. With the loading plot, eight relevant markers were obtained. It＇s worth mentioning that the variations of hexanal and amyl vinyl carbinol were consistent with those in the blood of liver and lung cancers, suggesting that hexanal and amyl vinyl carbinol could be used as the biomarkers for ovarian cancer and mature teratoma.
出处
《分析化学》
SCIE
EI
CAS
CSCD
北大核心
2015年第6期919-923,共5页
Chinese Journal of Analytical Chemistry
