Cargando…
Application of Artificial Neural Network Based on Traditional Detection and GC-MS in Prediction of Free Radicals in Thermal Oxidation of Vegetable Oil
In this study, electron paramagnetic resonance (EPR) and gas chromatography-mass spectrometry (GC-MS) techniques were applied to reveal the variation of lipid free radicals and oxidized volatile products of four oils in the thermal process. The EPR results showed the signal intensities of linseed oi...
Autores principales: | Huang, Shengquan, Liu, Ying, Sun, Xuyuan, Li, Jinwei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8586939/ https://www.ncbi.nlm.nih.gov/pubmed/34771126 http://dx.doi.org/10.3390/molecules26216717 |
Ejemplares similares
-
GC/EI-MS method for the determination of phytosterols in vegetable oils
por: Schlag, Sarah, et al.
Publicado: (2021) -
Identification of pressed and extracted vegetable oils by headspace GC-MS
por: Liu, Yang, et al.
Publicado: (2023) -
Quantitative GC–MS Analysis of Artificially Aged Paints with Variable Pigment and Linseed Oil Ratios
por: Tammekivi, Eliise, et al.
Publicado: (2021) -
Thermal (In)stability of Atropine and Scopolamine in the GC-MS Inlet
por: Koželj, Gordana, et al.
Publicado: (2021) -
Study on Lavender Essential Oil Chemical Compositions by GC-MS and Improved pGC
por: Dong, Guangyao, et al.
Publicado: (2020)