摘要
采用自行研制的表面解吸常压化学电离质谱(DAPCI-MS),无需样品预处理,对硫磺熏蒸八角和未熏八角直接进行正、负离子模式检测,获得其化学指纹图谱,并通过主成分分析(PCA)及聚类分析(CA)方法对所获指纹谱图信息进行分析,进而对不同样品进行鉴别。结果表明,在正、负离子模式下,DAPCI-MS都可对八角表面多种特征化学成分进行分析,快速获得八角的化学指纹谱图,并能够对目标组分进行多级串联质谱鉴定,结合PCA及CA方法可对八角是否经硫磺熏蒸进行快速鉴别。本方法无需样品预处理,灵敏度高,分析速度快,无污染,可望应用于市场上硫熏制品的快速鉴别。
Without any sample pretreatment, the mass spectral fingerprints of sulfur fumigated Chinese star anises and untreated samples were rapidly obtained in either a positive or negative ion detection mode with a home-made surface desorption atmospheric pressure chemical ionization (DAPCI) source. The DAPCI-MS raw data were further analyzed by principal component analysis (PCA) and cluster analysis (CA) , and several unknown samples were successfully discriminated using the PCA model. The results showed that the DAPCI- MS was able to detect some characteristic chemicals from the Chinese star anises' surface and identify the components by tandem mass spectrometry (MS/MS). The further principal component analysis (PCA) and cluster analysis (CA) of MS fingerprints allow a confident discrimination of sulfur fumigated star anise samples from the non-sulfur fumigated samples. The method developed here is attractive to provide a fast and effective way to screen sulfur fumigated products with sufficient sensitivity and no toxin pollution. This method is expec- ted to be applied to rapid identification of the sulfur fumigated product on the market in future.
出处
《分析化学》
SCIE
EI
CAS
CSCD
北大核心
2013年第7期1050-1056,共7页
Chinese Journal of Analytical Chemistry
基金
"十二五"农村领域国家科技计划基金(No.2012BDA29B01-3)
国产科学仪器自主创新能力培育与应用示范基金(No.PXM2011_178305_113597)
江西省科技厅基金(No.2010BNB00900)资助项目
关键词
表面解吸常压化学电离
质谱
主成分分析
聚类分析
硫磺熏蒸
八角
Surface desorption atmospheric pressure chemical ionization
Mass spectrometry
Principalcomponent analysis
Cluster analysis
Sulfur fumigated
Chinese star anise.