Literature DB >> 34144333

Spectral detection technology of vegetable oil: Spectral analysis of porphyrins and terpenoids.

Hongpeng Wang1, Yingjian Xin2, Xiong Wan3.   

Abstract

In this paper, the existence of porphyrins and terpenoids in different vegetable oils and their spectral characterization techniques are reported. The classification of pure vegetable oils was realised by principal component analysis - support vector machine (PCA-SVM) model. The absorption spectra, Raman spectra, fluorescence spectra and supercontinuum spectra of 8 kinds of pure vegetable oils were studied, and the effects of oil types and processing technology on spectral differences were analysed. The results showed that the fingerprint information of 4 kinds of spectral techniques mainly came from chlorophyll and β-carotene in vegetable oil. The extra virgin olive oil (EVOO) got by physical cold pressing technology had the most porphyrins and terpenoids content and the strongest activity. Therefore, the spectral characterization of porphyrins and terpenoids in vegetable oil can guide the regulation of the processing technology of vegetable oil and realise the qualitative and quantitative analysis of vegetable oil.
Copyright © 2021 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Absorption spectroscopy; Chlorophyll; Fluorescence spectroscopy; Raman spectroscopy; Supercontinuum spectroscopy; β - Carotene

Year:  2021        PMID: 34144333     DOI: 10.1016/j.saa.2021.119965

Source DB:  PubMed          Journal:  Spectrochim Acta A Mol Biomol Spectrosc        ISSN: 1386-1425            Impact factor:   4.098


  1 in total

1.  Rapid Identification of Soybean Varieties by Terahertz Frequency-Domain Spectroscopy and Grey Wolf Optimizer-Support Vector Machine.

Authors:  Xiao Wei; Dandan Kong; Shiping Zhu; Song Li; Shengling Zhou; Weiji Wu
Journal:  Front Plant Sci       Date:  2022-03-11       Impact factor: 5.753

  1 in total

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