Molecular Dynamics and Chain Length of Edible Oil Using Low-Field Nuclear Magnetic Resonance

Author:

Jia Zijian,Liang Can

Abstract

Nuclear magnetic resonance (NMR) techniques are widely used to identify pure substances and probe protein dynamics. Edible oil is a complex mixture composed of hydrocarbons, which have a wide range of molecular size distribution. In this research, low-field NMR (LF-NMR) relaxation characteristic data from various sample oils were analyzed. We also suggest a new method for predicting the size of edible oil molecules using LF-NMR relaxation time. According to the relative molecular mass, the carbon chain length and the transverse relaxation time of different sample oils, combined with oil viscosity and other factors, the relationship between carbon chain length and transverse relaxation time rate was analyzed. Various oils and fats in the mixed fluid were displayed, reflecting the composition information of different oils. We further studied the correlation between the rotation correlation time and the molecular information of oil molecules. The molecular composition of the resulting fluid determines its properties, such as viscosity and phase behavior. The results show that low-field NMR can obtain information on the composition, macromolecular aggregation and molecular dynamics of complex fluids. The measurements of grease in the free-fluid state show that the relaxation time can reflect the intrinsic properties of the fluid. It is shown that the composition characteristics and states of complex fluids can be measured using low-field nuclear magnetic resonance.

Funder

National Natural Science Foundation of China

Natural Science General Program of the Higher Education Institutions of Jiangsu Province

Key Scientific and Technological Projects of Science and Technology Commission of Shanghai Municipality

Development of Major Scientific Instruments and Equipment of the State

Shanghai Key Laboratory of Molecular Imaging

Publisher

MDPI AG

Subject

Chemistry (miscellaneous),Analytical Chemistry,Organic Chemistry,Physical and Theoretical Chemistry,Molecular Medicine,Drug Discovery,Pharmaceutical Science

Reference21 articles.

1. Low-field and benchtop NMR;J. Magn. Reson.,2019

2. The Quality Assessment of Edible Oils and Fats by LF-NMR Coupled with PCA;Zhao;Mod. Food Sci. Technol.,2014

3. Rapid detection of peanut oil adulteration using low-field nuclear magnetic resonance and chemometrics;Zhu;Food Chem.,2017

4. Non-invasive detection of adulterated olive oil in full bottles using time-domain NMR relaxometry;Santos;J. Braz. Chem. Soc.,2017

5. Simultaneous determination of oil and water in soybean by LF-NMR relaxometry and chemometrics;Wu;Chem. Res. Chin. Univ.,2016

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