香茅醇
化学
气相色谱法
色谱法
质谱法
气相色谱-质谱法
柠檬烯
主成分分析
多元分析
定性分析
香茅醛
香叶醇
人工智能
数学
统计
计算机科学
精油
社会学
定性研究
社会科学
作者
Noroska G.S. Mogollón,Guilherme L. Alexandrino,José R. Almeida,Zulay Niño,José Gregorio Peña-Delgado,Roldán Torres Gutiérrez,Fábio Augusto
标识
DOI:10.1186/s13065-018-0470-x
摘要
The current methodology used in quality control of Ecuadorian beverages such as Pájaro azúl, Puro and Pata de vaca is carried out by using conventional gas chromatography; however, it does not allow the fingerprinting of these Ecuadorian spirit beverages and their possible cases of adulteration. In order to overcome this drawback, comprehensive two-dimensional gas chromatography–mass spectrometry (GC × GC–MS) was combined with multivariate data analysis, revealing that compounds like citronellal, citronellol, geraniol, methyl anthranilate, (−)-trans-α-bergamotene, (−)-cis-α-bergamotene and d-limonene can be considered key elements for pattern recognition of these traditional beverages and product adulteration cases. Thus, the two-dimensional chromatographic fingerprints obtained by GC × GC–MS coupled with chemometric analysis, using Principal Component Analysis and Fisher-ratio can be considered as a potential strategy for adulteration recognition, and it may used as a quality assurance system for Ecuadorian traditional spirits.
科研通智能强力驱动
Strongly Powered by AbleSci AI