分析化学
分析化學
분석화학
CHINESE JOURNAL OF ANALYTICAL CHEMISTRY
2014年
5期
741-746
,共6页
王世成%范津杉%王颜红%李国琛%张红%王莹
王世成%範津杉%王顏紅%李國琛%張紅%王瑩
왕세성%범진삼%왕안홍%리국침%장홍%왕형
高效液相色谱-质谱%地沟油%甘油三酯环氧化物%偏最小二乘法判别分析(PLS-DA)
高效液相色譜-質譜%地溝油%甘油三酯環氧化物%偏最小二乘法判彆分析(PLS-DA)
고효액상색보-질보%지구유%감유삼지배양화물%편최소이승법판별분석(PLS-DA)
High performance liquid chromatography-mass spectrometry%Hogwash oil%Epoxides of triacylglycerols%Partial least square discriminate analysis
采用液相色谱-大气压化学电离质谱( HPLC-APCI-MS)方法,分析了食用油脂和地沟油的甘油三酯( TAG)组成。采用C18色谱柱,乙腈-丙酮为流动相,梯度洗脱,APCI正离子模式检测。应用本方法检测了15个地沟油和11个食用油样品,结果表明,地沟油中存在三亚油酸甘油酯( LLL )、二亚油酸单油酸甘油酯( LOL)、二亚油酸单亚麻酸甘油酯( LLnL),二油酸单亚油酸甘油酯( OOL)等甘油三酯的5种亚油酰基氧化产物。采用偏最小二乘法判别分析( PLS-DA)化学计量学方法,分析建立了地沟油和正常食用油的判别模型,实现了正常食用油和地沟油区分,模型正确判别率96.2%。在判别模型中,含有亚油酸环氧化物的TAG分子对判别贡献率较大,该类化合物可作为地沟油区别于正常油脂的标志成分。
採用液相色譜-大氣壓化學電離質譜( HPLC-APCI-MS)方法,分析瞭食用油脂和地溝油的甘油三酯( TAG)組成。採用C18色譜柱,乙腈-丙酮為流動相,梯度洗脫,APCI正離子模式檢測。應用本方法檢測瞭15箇地溝油和11箇食用油樣品,結果錶明,地溝油中存在三亞油痠甘油酯( LLL )、二亞油痠單油痠甘油酯( LOL)、二亞油痠單亞痳痠甘油酯( LLnL),二油痠單亞油痠甘油酯( OOL)等甘油三酯的5種亞油酰基氧化產物。採用偏最小二乘法判彆分析( PLS-DA)化學計量學方法,分析建立瞭地溝油和正常食用油的判彆模型,實現瞭正常食用油和地溝油區分,模型正確判彆率96.2%。在判彆模型中,含有亞油痠環氧化物的TAG分子對判彆貢獻率較大,該類化閤物可作為地溝油區彆于正常油脂的標誌成分。
채용액상색보-대기압화학전리질보( HPLC-APCI-MS)방법,분석료식용유지화지구유적감유삼지( TAG)조성。채용C18색보주,을정-병동위류동상,제도세탈,APCI정리자모식검측。응용본방법검측료15개지구유화11개식용유양품,결과표명,지구유중존재삼아유산감유지( LLL )、이아유산단유산감유지( LOL)、이아유산단아마산감유지( LLnL),이유산단아유산감유지( OOL)등감유삼지적5충아유선기양화산물。채용편최소이승법판별분석( PLS-DA)화학계량학방법,분석건립료지구유화정상식용유적판별모형,실현료정상식용유화지구유구분,모형정학판별솔96.2%。재판별모형중,함유아유산배양화물적TAG분자대판별공헌솔교대,해류화합물가작위지구유구별우정상유지적표지성분。
Triacylglycerols ( TAGs) in edible oils ( soybean, peanut, sesame) and hogwash oil were analyzed by HPLC-MS with atmospheric pressure chemical ionization ( APCI ) . The gradient elution chromatographic separation was performed on a C18 column using mobile phase of acetonitrile-acetone, and TAGs were monitored by APCI-MS in positive mode. 15 hogwash oils and 11 normal edible oils were analysed with the method. Five linoleoyl epoxides of trilinolein ( LLL) , dilinoleoyl-oleoyl glycerol ( LOL) , dilinoleoyl-linolenoyl glycerol ( LLnL) , dioleoyl-linoleoyl glycerol ( OOL) in hogwash oil were detected. The discriminantion model established with partial least square discriminate analysis ( PLS-DA) , could distinguish the normal edible oil and the hogwash oil with an accuracy of 96 . 2%. The linoleoyl epoxides of TAGs made the major distinguishing contribution for the model, and were proved as the mark components in hogwash oil different from the normal edible oil.