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NMR-based metabolomic study of Apulian Coratina extra virgin olive oil extracted with a combined ultrasound and thermal conditioning process in an industrial setting.基于 NMR 的阿普利亚科拉蒂纳特级初榨橄榄油代谢组学研究,采用联合超声和热调节工艺在工业环境中提取。
Food Chem. 2021 May 30;345:128778. doi: 10.1016/j.foodchem.2020.128778. Epub 2020 Dec 3.
2
Intelligent evaluation of total polar compounds (TPC) content of frying oil based on fluorescence spectroscopy and low-field NMR.基于荧光光谱和低场 NMR 技术的食用油极性化合物总量(TPC)智能评价
Food Chem. 2021 Apr 16;342:128242. doi: 10.1016/j.foodchem.2020.128242. Epub 2020 Oct 2.
3
Rapid Assessment of Deep Frying Oil Quality as Well as Water and Fat Contents in French Fries by Low-Field Nuclear Magnetic Resonance.采用低场核磁共振技术快速评估油炸油品质及薯条中的水分和脂肪含量。
J Agric Food Chem. 2019 Feb 27;67(8):2361-2368. doi: 10.1021/acs.jafc.8b05639. Epub 2019 Feb 18.
4
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).超声处理对微波真空油炸过程中油脂劣化的影响及基于低场核磁共振(LF-NMR)预测油炸油品质。
Ultrason Sonochem. 2019 Mar;51:77-89. doi: 10.1016/j.ultsonch.2018.10.015. Epub 2018 Oct 12.
5
Monitoring of Used Frying Oils and Frying Times for Frying Chicken Nuggets Using Peroxide Value and Acid Value.使用过氧化值和酸值监测炸鸡块的煎炸用油及煎炸时间
Korean J Food Sci Anim Resour. 2016 Oct 31;36(5):612-616. doi: 10.5851/kosfa.2016.36.5.612.
6
Study of liquid-phase molecular packing interactions and morphology of fatty acid methyl esters (biodiesel).脂肪酸甲酯(生物柴油)的液相分子堆积相互作用和形态研究。
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The gelation of oil using ethyl cellulose.使用乙基纤维素使油凝胶化。
Carbohydr Polym. 2015 Mar 6;117:869-878. doi: 10.1016/j.carbpol.2014.10.035. Epub 2014 Oct 30.
8
Laplace Inversion of Low-Resolution NMR Relaxometry Data Using Sparse Representation Methods.使用稀疏表示方法对低分辨率核磁共振弛豫测量数据进行拉普拉斯反演
Concepts Magn Reson Part A Bridg Educ Res. 2013 May;42(3):72-88. doi: 10.1002/cmr.a.21263. Epub 2013 May 29.
9
Chemistry of deep-fat frying oils.深度油炸油的化学性质
J Food Sci. 2007 Jun;72(5):R77-86. doi: 10.1111/j.1750-3841.2007.00352.x.

使用低场核磁共振(LF-NMR)和差示扫描量热法(DSC)监测煎炸油降解的可能性。

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

作者信息

Al-Khusaibi Mohamed, Al-Habsi Nasser Abdullah, Al-Yamani Sara Abdullah, Al-Khamis Adhraa Saif, Al-Shuhaimi Iman, Rahman Mohammed Shafiur

机构信息

Department of Food Science and Nutrition, College of Agricultural and Marine Sciences, Sultan Qaboos University, Al-Khod 123, P. O. Box 34, Muscat, Oman.

出版信息

J Food Sci Technol. 2022 Nov;59(11):4176-4186. doi: 10.1007/s13197-022-05471-8. Epub 2022 Jun 13.

DOI:10.1007/s13197-022-05471-8
PMID:36193471
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9525515/
Abstract

In this work, chemical degradation of oil was determined as a function of frying time during intermittent deep-fat frying (i.e. 185 °C for 5 h per day for 12 days) and was correlated with the thermal characteristics as measured by Differential Scanning Calorimetry (DSC) and proton mobility by Low-Field Nuclear Magnetic Resonance (LF-NMR). Linear increases of FFAs and PV were observed as a function of frying time. FFAs and PV were strongly correlated with the melting enthalpy. The melting enthalpy of oil decreased exponentially, and the melting temperature remained nearly same until 30 h of frying time followed by a sharp increase. The relaxation times of rigid, semi-rigid and mobile protons (i.e. , , and ) decreased with the increase of frying time. The decrease of , and were steeper as compared to the T. A strong correlation was observed between conventional chemical parameters (i.e. PV and FFAs), and and The populations of the three pools of protons as identified by Inverse Laplace Transformation and Gaussian distribution function showed the interchange of the protons with the chemical changes during frying. It is concluded that chemical free DSC and LF-NMR could be potential methods to monitor frying oil degradation.

摘要

在本研究中,测定了间歇式深度油炸(即每天185℃油炸5小时,共12天)过程中油的化学降解情况,并将其与通过差示扫描量热法(DSC)测量的热特性以及低场核磁共振(LF-NMR)测定的质子迁移率相关联。观察到游离脂肪酸(FFAs)和过氧化值(PV)随油炸时间呈线性增加。FFAs和PV与熔化焓密切相关。油的熔化焓呈指数下降,在油炸30小时之前熔化温度几乎保持不变,随后急剧上升。刚性、半刚性和可移动质子的弛豫时间(即 、 和 )随油炸时间的增加而减小。 、 和 的下降比 更陡峭。在传统化学参数(即PV和FFAs)与 和 之间观察到强相关性。通过逆拉普拉斯变换和高斯分布函数确定的三个质子池的数量显示了油炸过程中质子随化学变化的交换。得出的结论是,无化学干扰的DSC和LF-NMR可能是监测油炸油降解的潜在方法。