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本文采用GC-MS离子选择方法,分析了6种不同溢油样品的油指纹诊断比值参数,利用多维标度法鉴别了6种不同溢油样品,并与重复性限法进行了比对分析。结果表明:多维标度法可高效进行大量样品油指纹分析的同时鉴定,能直观的表现研究对象之间的关系,实现油样的分类鉴别;多维标度法与重复性限法相比,可简化两两样品之间对比繁琐的计算过程,避免不同油品多个诊断比值一致的情况下的误判,从而有效弥补、完善重复性限法和其他方法的一些不足,为海洋溢油事故指纹鉴定提供一些借鉴。
In this paper, GC-MS ion-selective method was used to analyze the oil fingerprinting ratio parameters of six different oil spills samples. Six multi-dimensional scaling methods were used to identify six different oil spill samples and compared with the repeatability limit method. The results show that the multidimensional scaling method can effectively identify large amounts of oil fingerprints simultaneously, and can intuitively represent the relationship among the research objects to achieve the classification and identification of oil samples. Compared with the repetitive limit method, the multidimensional scaling method can be simplified Comparisons between the two samples cumbersome calculation process, to avoid different oil multiple diagnostic criteria consistent with the misjudgment of cases, so as to effectively make up, improve the repeatability limit method and some other shortcomings, for the marine oil fingerprinting identification Provide some reference.