采用电感耦合等离子体质谱法（ICP-MS）测定的 14 种元素构建的啤酒样品的元素指纹图谱：多变量分析及其在法医样品比对中的潜在应用。
Elemental fingerprint profile of beer samples constructed using 14 elements determined by inductively coupled plasma-mass spectrometry (ICP-MS): multivariation analysis and potential application to forensic sample comparison.
机构信息
Department of Sciences, John Jay College of Criminal Justice, The City University of New York, New York, NY 10019, USA.
出版信息
Anal Bioanal Chem. 2012 Jan;402(2):861-9. doi: 10.1007/s00216-011-5452-y. Epub 2011 Oct 8.
Determination of elemental fingerprint profile of 40 commercial beer samples was performed using inductively coupled plasma-mass spectrometry combined with principal component analysis and receiver operating characteristic (ROC) analysis. Fourteen trace elements, (51)V, (52)Cr, (59)Co, (60)Ni, (75)As, (82)Se, (95)Mo, (111)Cd, (115)In, (121)Sb, (133)Cs, (208)Pb, (209)Bi, and (238)U, were monitored. All 40 beer samples are distinguishable by using the proposed method. ROC analysis showed that individual beer samples can be correctly identified via the magnitude of its correlation coefficient with respect to the other beers with low false positive rate. The obtained results suggested that the elemental fingerprint technique is feasible for sample differentiation and comparison.
采用电感耦合等离子体质谱法（ICP-MS）结合主成分分析（PCA）和接收者操作特征（ROC）分析，对 40 种市售啤酒样品的元素指纹图谱进行了测定。监测了 14 种微量元素：（51）V、（52）Cr、（59）Co、（60）Ni、（75）As、（82）Se、（95）Mo、（111）Cd、（115）In、（121）Sb、（133）Cs、（208）Pb、（209）Bi 和（238）U。使用所提出的方法可以区分所有 40 种啤酒样品。ROC 分析表明，通过其与其他啤酒的相关系数的大小，可以正确识别个别啤酒样品，且假阳性率较低。研究结果表明，元素指纹图谱技术可用于样品的区分和比较。
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