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Chemometric resolution techniques combined with GC-MS to enhance determination of the volatile chemical constituents of bay leaves

机译:化学计量学分辨率技术结合GC-MS增强对月桂叶中挥发性化学成分的测定

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摘要

The 71 constituents of essential oil (EO) of bay leaves were identified with gas chromatography-mass spectrometry (GC-MS) by applying a similarity search between the obtained mass spectra and database. This number was increased to 131 constituents with the help of different chemometric resolution techniques. Multivariate curve resolution-alternating least squares (MCR-ALS) is used to obtain pure chromatograms and mass spectra for the constituents present in each overlapping/embedded peaks cluster as well as their relative concentrations. Other chemometric methods such as simple to use interactive self-modeling mixture analysis (SIMPLISMA), morphological score (MS) and Fixed Size Moving Window Evolving Factor Analysis (FSMWEFA) were used to determine the number of constituents, pure variables, zero concentration and selective regions. The most important constituents of the Iranian bay leaves are linalool (12.31%), 1,8-cineole (11.38%), α-terpineol acetate (7.71%), eugenol methyl ether (6.87%) and α-phellandrene (4.30%). Despite previous studies, chemometric resolution techniques were implemented as a necessary step for the comprehensive analysis of the volatile constituents of bay leaves.
机译:通过使用获得的质谱图和数据库之间的相似性搜索,通过气相色谱-质谱法(GC-MS)鉴定了月桂叶的71种精油(EO)成分。借助不同的化学计量解析技术,该数字增加到131个成分。多元曲线分辨率交替最小二乘(MCR-ALS)用于获得每个重叠/嵌入峰簇中存在的成分及其相对浓度的纯色谱图和质谱图。其他化学计量学方法,例如简单易用的交互式自建模混合物分析(SIMPLISMA),形态学评分(MS)和固定大小移动窗口演变因子分析(FSMWEFA),用于确定组分的数量,纯变量,零浓度和选择性地区。伊朗月桂叶的最重要成分是芳樟醇(12.31%),1,8-桉树脑(11.38%),α-萜品醇乙酸酯(7.71%),丁子香酚甲基醚(6.87%)和α-芹菜烯(4.30%) 。尽管有先前的研究,但化学计量学拆分技术仍被用作全面分析月桂叶挥发性成分的必要步骤。

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