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基于金刚烷指纹参数的主成分分析法识别柴油类型
引用本文:姜慧芸,田松柏,刘颖荣,祝馨怡.基于金刚烷指纹参数的主成分分析法识别柴油类型[J].石油炼制与化工,2017,48(9):89-96.
作者姓名:姜慧芸  田松柏  刘颖荣  祝馨怡
作者单位:中国石化石油化工科学研究院;
基金项目:中国石油化工股份有限公司合同项目
摘    要:基于气相色谱/质谱联用仪(GC/MS)建立了柴油中金刚烷类烃指纹化合物的定性、定量分析方法,对催化裂化柴油、加氢裂化柴油、直馏柴油中金刚烷类烃指纹化合物的含量进行了分析。分析结果显示,金刚烷类烃指纹化合物在3种柴油中的含量和分布特点都有所不同,同一类型柴油中部分金刚烷类烃指纹化合物的分布具有相似性。根据金刚烷类烃指纹化合物在不同类型柴油中的分布特点总结出指纹参数,并结合主成分分析对3类柴油进行了类型识别,在主成分分析得到的样品分布图中,相同工艺来源的样品相互聚集,不同工艺来源的柴油间相互离散,可实现对3种不同类型柴油的识别和区分。

关 键 词:烃指纹化合物  生物标志物  金刚烷类  GC/MS  
收稿时间:2017-03-06

IDENTIFICATION OF DIESEL TYPE BY PRINCIPAL COMPONENT ANALYSIS BASED ON DIAMONDOID FINGERPRINT PARAMETERS
Abstract:Qualitative and quantitative analysis method of diamondoid hydrocarbon fingerprints were established based on gas chromatography/mass spectrometry (GC/MS). The contents of diamondoid hydrocarbon fingerprints in catalytic cracking diesels, hydrocracking diesels, and straight-run diesels were measured. The analysis results show that the concentration and distribution of diamondoid hydrocarbon fingerprints are different in the three types of diesels, but similar in the same type of diesels. Based on the distribution characteristics of diamondoid fingerprint compounds in different types of diesels, the fingerprint parameters were summarized, and 3 types of diesel were identified by principal component analysis (PCA). The results show that the positions are close together for diesels from the same process, and different types of diesels are discrete in the sample distribution map by PCA. Fast identification of diesel types can be realized by this method.
Keywords:hydrocarbon fingerprint  biomarker  diamondoid  GC/MS  
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