Data Fusion of ion Mobility Spectrometry Combined with Hierarchical Clustering Analysis for the Quality Assessment of Apple Essence
Data Fusion of ion Mobility Spectrometry Combined with Hierarchical Clustering Analysis for the Quality Assessment of Apple Essence
复制标题
离子淌度谱数据融合与层次聚类分析相结合的苹果精质量评价
DOI：
10.1007/s12161-017-0910-6
复制
发表时间：
2017-10-01
影响因子：
2.9
通讯作者：
Wang, Haiyan
中科院分区：
文献类型：
--
作者：
Sha, Min;Zhang, Zhengyong;Wang, Haiyan
采用高效离子迁移谱直接电喷雾电离（ESI-HPIMS）技术建立了苹果香精的指纹图谱，用于苹果香精的质量一致性和鉴别。34个相同品牌的苹果香精样品被用作同一产品，但在四个不同的制造商酿造，以建立指纹图谱。采用层次聚类分析（HCA）评价这些样本的相似性和变异性。利用正负离子模式下离子迁移谱的个体数据矩阵，构造了一个组合数据矩阵。为便于比较，还将正、负离子模式的离子迁移谱指纹图谱分别用于同一样品的质量评价。结果表明，指纹图谱的融合确实提供了更多的信息，可用于综合评价苹果香精与同类产品的质量一致性和区分度。这表明，这种指纹图谱的方法是适合于分析其他复杂的，多分析物的物质。
A fingerprinting approach was developed by means of high-performance ion mobility spectrometry with direct electrospray ionization (ESI-HPIMS) for the quality consistency and authentication of apple essence which contain many analytes. Thirty-four apple essence samples of the same brand and commercialized as a same product but brewed in four different manufacturers were used to establish the fingerprints. Hierarchical clustering analysis (HCA) was performed to evaluate the similarity and variation of these samples. A combined data matrix was constructed with the use of individual data matrix of ion mobility spectrum in positive and negative ion modes. For comparison, ion mobility spectrum fingerprints in positive and negative ion modes respectively were also applied to the quality assessment of the same samples. Finally, our study demonstrated that the fusion of fingerprints did indeed provide more information and could be used to comprehensively conduct the quality consistency evaluation and discrimination of apple essences from similar products. It is suggested that this fingerprint approach is suitable for analysis of other complex, multianalyte substances.