Fluorescence Spectroscopy Combined with Chemometrics for the Investigation of the Adulteration of Essential Oils
| Autor: | Nejm-Eddine Jaidane, William Mbogning Feudjio, Hassen Ghalila, Yvon G. Mbesse Kongbonga, Youssef Majdi, Mama Nsangou |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Adulterant
Chromatography Chemistry 010401 analytical chemistry 01 natural sciences Applied Microbiology and Biotechnology Fluorescence spectroscopy 0104 chemical sciences Analytical Chemistry law.invention Matrix (chemical analysis) Chemometrics 010104 statistics & probability Vegetable oil law Multilayer perceptron medicine 0101 mathematics Safety Risk Reliability and Quality Safety Research Essential oil Neroli Food Science medicine.drug |
| Zdroj: | Food Analytical Methods. 10:2539-2548 |
| ISSN: | 1936-976X 1936-9751 |
| DOI: | 10.1007/s12161-017-0823-4 |
| Popis: | Artificial neural networks (ANNs) were built with excitation-emission matrix fluorescence (EEMF) spectra of essential oils for the investigation of their adulteration. With self-organized maps (SOMs), the clusters formed by all the types of essential oils were visualized. Pure essential oils were globally separated from their adulterated samples. The nature of the adulterant (vegetable oil, essential oil, solvent) in adulterated essential oils was revealed by a multilayer perceptron (MLP) network which classified them with a percentage of correct classification of 92.31%. In the case of the adulteration of neroli essential oil by sunflower vegetable oil, with another multilayer perceptron network, the level of adulteration was globally well evaluated. The correlation coefficient between true and evaluated adulteration percentages was 0.951. The samples corresponding to the adulteration percentage of 5% were the worse evaluated. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink