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Kovats Retention Index analysis of flavor and fragrance compound using Biplot Statistical method in gas chromatography systems

机译:气相色谱系统中双层统计法的风味和香料化合物的Kovats保持指标分析

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A lot of retention parameters have been introduced and used in chromatographic instrumentation analysis, one of which is the retention index. Retention index is a secondary parameter which in its calculation requires data retention time and dead time. This study uses data from flavor and fragrance retention indices with a variation of columns, boiling points and log Kow which aims to identity' the level of similarity between compounds based on retention index using biplot statistical method. Biplot analysis is used to view object relationships based on the variables. The results showed that biplot could describe the relationship of a compound as an object and its retention index as a variable of 99.45%. Based on the results, the compounds can be classified into three groups. The first group has a specific retention index that is lower than other groups. The second group has a high Log Kow whereas the third group is dominated by the influence of DB-Wax column compared to other columns. Columns DB-1, OV-101, and DB-5 have a positive correlation with the correlation level close to 1.00.
机译:已经引入了许多保留参数并用于色谱仪器分析,其中一个是保留指数。保留索引是其计算中的辅助参数,需要数据保留时间和死区时间。本研究使用来自风味和香料保留指数的数据,该数据具有柱,沸点和日志kow的变化,旨在使用双针统计方法基于保留指数来识别化合物之间的相似性水平。 Biplot分析用于基于变量查看对象关系。结果表明,双针可以描述化合物作为物体的关系,其保持指数为99.45%。基于结果,化合物可以分为三组。第一组具有比其他组低的特定保留指数。第二组具有高日志kow,而第三组是与其他列相比db-wax列的影响主导。列DB-1,OV-101和DB-5具有与接近1.00的相关电平的正相关。

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