![]() |
METHODS AND OBJECTS OF CHEMICAL ANALYSIS ISSN title: "Metody i obʺekty himičeskogo analiza" An international journal devoted to all aspects of Analytical chemistry ISSN 2413-6166 (Online), ISSN 1991-0290 (Print) |
![]() |
| Ukr | En | ||
|
|
||
|
Chemometric Approaches in Analysis of Vegetable Oils as a Way to Improve an Efficiency of Forensic Examination |
|
|
* Corresponding authors |
||
|
Methods Objects Chem. Anal., 2019, 14(4), p.192-199 |
||
|
Buy Article: 5 USD plus tax |
||
Abstract
The approach to forensic examination performance through accelerated classification and identification research of vegetable oils is demonstrated. It includes derivatization of the original objects, analysis of obtained methyl esters mixture using GC-MS technique and applying of chemometric tools for gathering preliminary data. Subsequent processing of obtained chromatograms using principal component analysis for grouping of objects simplifies further detailed examination. An analysis of hidden correlations between variables and influence of the initial data on the first to third major components formation is provided. Using values of content of only 5 most widespread fat acids leads to satisfied visual pattern for prior recognition of oil samples. Applying of various split ratios is recommended at different stages of gas-chromatographic analysis. Split ratio 1 : 50 is recommended for gathering of data treated by chemometric methods and 1 : 2 is useful for determination of minor components presence as specific features.
Keywords: vegetable oils, GC-MS, fatty acid methyl ethers, chemometrics, principal component analysis (PCA)
Article language: Ukr.
Publisher:Taras Shevchenko National University, Kiev Ukraine
(Analytical chemistry department at Taras Shevchenko
National University, 64 Vladimirskaya STR., Kiev, 01601 UKRAINE)
analysis@univ.kiev.ua,
www.univ.kiev.ua,
+380-44-2393266
The journal is indexed in SCOPUS and Web of Science
The journal website: www.moca.net.ua
The articles in this journal are licensed under
CC BY 4.0