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作 者:李倩[1] 王姜[1] 陈焕文[1] 郭晓暾 杨水平[1]
机构地区:[1]东华理工大学江西省质谱科学与仪器重点实验室,江西南昌330013
出 处:《质谱学报》2014年第6期502-508,共7页Journal of Chinese Mass Spectrometry Society
基 金:国家自然科学基金(21165002);江西省自然科学基金(20114BAB203016);江西省科技厅科技计划项目(2010EHA01000);江西省科技支撑计划项目(20113BCB24024)资助
摘 要:采用自行研制的表面解吸常压化学电离源(DAPCI),在无需样品预处理的条件下,通过DAPCI-MS方法直接获取不同肉类样品(鸭肉、牛肉、猪肉、羊肉、自制假羊肉)的指纹谱图。采用主成分分析(PCA)方法对指纹谱图信息进行数据分析,以区分不同肉类样品。结果表明:鸭肉、牛肉、猪肉、羊肉和自制假羊肉的指纹谱图之间存在差异,采用PCA方法能较好地区分这些肉类样品。本方法无需样品预处理,分析速度快,可实现高通量肉类的快速鉴别,为食品安全中辨别肉类样品提供了一种快速、高效的分析方法。Following the method of surface desorption atmospheric pressure chemical ionization mass spectrometry (DAPCI-MS),without any pretreatment to the samples,the mass spectra of a series of meat,including pure samples (duck,beef,pork,and mutton) and mutton-flavored meat samples of duck,beef and pork,were obtained directly.The ionization part relied on a self-made equipment of DAPCI.The DAPCI-MS raw data were further analyzed by principle component analysis (PCA).The result shows that the mass spectra of duck,beef,pork,mutton and mutton-flavored fake meat samples are distinguishing,indicating that the PCA model can discriminate the different meat samples successfully.This method can achieve the rapid identification as well as rapid analysis of meat samples at high throughput without any pretreatment.This study provides a method that achieves rapid detection of fake mutton and identification of meat samples for food security.
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