Literature DB >> 30514488

Effect of ultrasonic on deterioration of oil in microwave vacuum frying and prediction of frying oil quality based on low field nuclear magnetic resonance (LF-NMR).

Yanan Sun1, Min Zhang2, Dongcui Fan3.   

Abstract

The ultrasound assisted microwave vacuum frying system was investigated to achieve higher physicochemical and quality attributes of frying oil. In this study, the effect of ultrasonic on peroxide value, acid value, carbonyl value, polar component, fatty acid, color, viscosity, dielectric properties and low field nuclear magnetic resonance (LF-NMR) relaxation characteristics of frying oil under microwave vacuum frying were analyzed; the principal component regression (PCR) analysis was used to establish a correlation model for predicting physicochemical properties through LF-NMR relaxation characteristics. The results indicated that the acid value, carbonyl value, polar component, color, viscosity, dielectric constant and saturated fatty acids of the oil samples increased with the prolongation of frying time, and the peroxide value increased first and then decreased with the extension of frying time. Furthermore the relaxation time of peak T21, T22 and T23 decreased gradually of frying oil, and the peak area ratio of S21 gradually increased as the frying time goes on. Good correlations were found between the LF-NMR relaxation characteristics and the physicochemical properties using PCR, and the analysis results are credible. In conclusion, compared with the microwave vacuum frying, the ultrasonic combined with microwave vacuum frying can delay the deterioration of the frying oil and the physicochemical properties of frying oil could be well predicted by the LF-NMR T2 relaxation characteristics during the frying process.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Frying oil; Low field nuclear magnetic resonance (LF-NMR); Microwave vacuum frying; Physicochemical properties; Ultrasound

Year:  2018        PMID: 30514488     DOI: 10.1016/j.ultsonch.2018.10.015

Source DB:  PubMed          Journal:  Ultrason Sonochem        ISSN: 1350-4177            Impact factor:   7.491


  6 in total

1.  Possibility of using low-field nuclear magnetic resonance (LF-NMR) and differential scanning calorimetry (DSC) to monitor frying oil degradation.

Authors:  Mohamed Al-Khusaibi; Nasser Abdullah Al-Habsi; Sara Abdullah Al-Yamani; Adhraa Saif Al-Khamis; Iman Al-Shuhaimi; Mohammed Shafiur Rahman
Journal:  J Food Sci Technol       Date:  2022-06-13       Impact factor: 3.117

2.  Rapid Detection of Avocado Oil Adulteration Using Low-Field Nuclear Magnetic Resonance.

Authors:  Haoquan Jin; Yuxuan Wang; Bowen Lv; Kexin Zhang; Zhe Zhu; Di Zhao; Chunbao Li
Journal:  Foods       Date:  2022-04-14

3.  Shelf-Life Prediction and Critical Value of Quality Index of Sichuan Sauerkraut Based on Kinetic Model and Principal Component Analysis.

Authors:  Jie Du; Min Zhang; Lihui Zhang; Chung Lim Law; Kun Liu
Journal:  Foods       Date:  2022-06-15

4.  Effect of High-Voltage Electrostatic Field Heating on the Oxidative Stability of Duck Oils Containing Diacylglycerol.

Authors:  Hailei Sun; Fangfang Li; Yan Li; Liping Guo; Baowei Wang; Ming Huang; He Huang; Jiqing Liu; Congxiang Zhang; Zhansheng Feng; Jingxin Sun
Journal:  Foods       Date:  2022-04-30

5.  Lignocellulosic Biomasses from Agricultural Wastes Improved the Quality and Physicochemical Properties of Frying Oils.

Authors:  Eman Ahmed; Ashraf Zeitoun; Gamal Hamad; Mohamed A M Zeitoun; Ahmed Taha; Sameh A Korma; Tuba Esatbeyoglu
Journal:  Foods       Date:  2022-10-10

6.  The Effect of Batter Characteristics on Protein-Aided Control of Fat Absorption in Deep-Fried Breaded Fish Nuggets.

Authors:  Lulu Cui; Jiwang Chen; Yuhuan Wang; Youling L Xiong
Journal:  Foods       Date:  2022-01-06
  6 in total

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