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

8th Annual International Conference 2018 on Science and Engineering

工业技术（总论）

Idroes, R.^1^2 ; Japnur, A.F.^1 ; Suhendra, R.^3 ; Rusyana, A.^4

Department of Chemistry, Faculty of Mathematics and Natural Sciences, Syiah Kuala University, Kopelma Darussalam, Banda Aceh

23111, Indonesia^1

Department of Pharmacy, Faculty of Mathematics and Natural Sciences, Syiah Kuala University, Kopelma Darussalam, Banda Aceh

23111, Indonesia^2

Department of Statistics, Faculty of Mathematics and Natural Sciences, Syiah Kuala University, Kopelma Darussalam, Banda Aceh

23111, Indonesia^3

Department of Informatics, Faculty of Mathematics and Natural Sciences, Syiah Kuala University, Kopelma Darussalam, Banda Aceh

23111, Indonesia^4

关键词: Biplot analysis;    Data retention time;    Dead time;    Flavor and fragrances;    Log Kow;    Positive correlations;    Retention index;    Second group;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/523/1/012007/pdf
DOI  :  10.1088/1757-899X/523/1/012007

学科分类：工业工程学

来源: IOP

【 摘 要 】

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 identify 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.