植物油的光谱测量和介电弛豫研究

IF 7.7 Q1 AGRICULTURE, MULTIDISCIPLINARY
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引用次数: 0

摘要

本研究的目的是在 0 ℃ 至 25 ℃ 的温度范围内,利用介电光谱技术研究九种不同纯植物油样品的定性特征。时域反射仪技术首次被应用到 50 GHz 的微波频率上,对所选植物油样品进行定性表征,特别关注介电性质的变化,如介电常数 (ε′)、介电损耗 (ε″)、温度弛豫时间以及植物油样品的其他理化性质。实验方法包括使用高达 50 GHz 的时域反射仪 (TDR) 测量来分析静态介电介电常数 (εs)和弛豫时间 (τ) (ps) 等方面的较低和较高数值,进一步将这些数值与九种植物油样本中每种样本的脂肪酸概况进行有意义的比较和关联,从而推理和得出有关植物油质量方面的比较推论。微波 TDR 研究提供了一种有效、替代、简单、快速和可行的方法来进行质量控制和获取有关植物油质量状况的数据。介电常数(ε′)与介电损耗(ε″)的差异是利用科尔-戴维森模型用图形解释的。静态介电介电常数(εs)通过使用精密 LCR 表进行了进一步的重新认证和精确测量。还计算了所有九种植物油样品的热力学性质,如焓(ΔH)(kJ/mol)和活化熵(ΔS)(J/mol ∙ K),以进一步了解这些油样品的介电性质与温度的关系。这项介电光谱研究证实了这九种植物油样品的质量与其介电性质之间的联系,提供了介电性质与理化性质之间有意义的相关性、可比性和一致性,而理化性质是这些样品脂肪酸特征的一部分,这是本研究的一个新方面。科尔-科尔图强调了偶极子随外加磁场重新排列的趋势。复介电常数频谱表明分子排列逐渐减弱,包括根据植物油样品的分子键模式缓慢下降到平均重合值。计算出的所有样品的活化能(ΔH)单位为(kJ/mol),表明其具有内热性质,实验证明,低弛豫时间的不饱和油样品分子旋转需要高能量。本次介电波谱研究的亮点在于,它根据弛豫时间将九种植物油样品明确分为两组,分别测量了ps弛豫时间较高的植物油样品[大豆油(398.5)、落花生油(412.5)、亚麻籽油(318.4)和蓖麻油(305.3)]和ps弛豫时间较低的油类样品[红花油(37.91)、葵花籽油(30.6)、核桃油(22.4)和芝麻油(38.4)],并将这一介电特性与油酸存在的程度相关联:C18H34O2, linoleic acid:C18H32O2, linolenic acid:C18H30O2 和蓖麻油酸 C18H34O3,以及每个样本脂肪酸图谱中存在的不饱和百分比。椰子油饱和脂肪图谱(饱和度百分比为 82.5)的弛豫时间(41.8)ps 较低,其与月桂酸 C12H24O2(52 ps)、肉豆蔻酸 C14H28O2(21 ps)、亚麻酸 C18H30O2 和蓖麻油酸 C18H34O3 的百分比存在程度有关:C14H28O2 (21 ps) 也有关联。目前的介电光谱研究进一步强调和比较了九种植物油样品介电常数的差异与不饱和/饱和度的百分比,以推断与这些油样品脂肪酸概况的相关性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spectroscopic measurement and dielectric relaxation study of vegetable oils

The purpose of the current study is to investigate the qualitative characterization of nine different pure vegetable oil samples using dielectric spectroscopy which is a vastly resourceful and reasoned technique in the temperature range 0 ℃ to 25 ℃. Time-domain reflectometry technique is applied up to the microwave frequencies of 50 GHz for the first time for qualitative characterization of the selected vegetable oil samples with a special focus on the variances of dielectric properties like dielectric permittivity (ε′), dielectric loss (ε″), relaxation time concerning temperature and other physiochemical properties of the vegetable oil specimens.

The experimental methodology involves the use of time-domain reflectometry (TDR) measurements up to the scale of 50 GHz done to analyse the aspects like lower and higher scales of values towards the static dielectric permittivity (εs) and relaxation time (τ) (ps) to further meaningfully compare and correlate this values with the fatty acid profiles of each of the nine vegetable oil samples to reason and draw comparative inferences about the quality aspects of vegetable oils. Microwave TDR studies provide an effective, alternate, simple, rapid, and viable way to exercise quality control and actuate data regarding the quality status of vegetable oils. Variances of dielectric permittivity (ε′) concerning dielectric loss (ε″) are graphically interpreted using the Cole Davidson model. The static dielectric permittivity (εs) was further recertified and measured accurately by using a precision LCR meter. Thermodynamic properties of all the nine vegetable oil samples like enthalpy (ΔH) (kJ/mol) and entropy of activation (ΔS) (J/mol ∙ K) are also calculated to further insight the dependence of dielectric properties of these oil samples concerning temperature.

This dielectric spectroscopic study affirms the association of the quality aspects of these nine vegetable oil samples with their dielectric properties by providing meaningful correlations, comparatives and concurrencies of dielectric properties concerning the physiochemical properties which are a part of fatty acid profiles of these samples, which is a novel aspect of this study. The Cole-Cole plot underlines the tendency of realignment of dipoles as per the applied field. The complex permittivity spectra indicate the dwindling nature of molecular alignment including a slow decline to average coinciding values depending on the molecular bonding pattern of vegetable oil samples. The activation energy (ΔH) in (kJ/mol) is calculated for all the samples which are indicative of endothermic nature which experimentally proves that high energy is required for rotation of unsaturated oil sample molecules with low relaxation times.

The highlight of the current dielectric spectroscopic study is that it conclusively divides the nine vegetable oil samples into two groups based on the dielectric property of relaxation time. The vegetable oil samples with higher relaxation times were measured in ps [soyabean oil (398.5), groundnut oil (412.5), flaxseed oil (318.4), and castor oil (305.3)] and the oil samples with lower relaxation times [safflower oil (37.91), sunflower oil (30.6), walnut oil (22.4) and sesame oil (38.4)] and correlate this dielectric aspect with the aspect extent of the presence of oleic acid: C18H34O2, linoleic acid: C18H32O2, linolenic acid: C18H30O2 and ricinoleic acid C18H34O3 alongside the percentage of unsaturation present in the fatty acid profile of each sample. Saturated fatty profile of coconut oil (percentage of saturation 82.5) with low relaxation time (41.8) ps and its concurrency concerning the extent of percentage presence of lauric acid C12H24O2 (52 ps) myristic acid: C14H28O2 (21 ps) is also correlated. The current dielectric spectroscopic study further highlights and compares the variances of dielectric permittivity of the nine vegetable oils samples with the percentage of unsaturation /saturation to infer upon the correlation with the fatty acid profile of these oil samples.

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来源期刊
Information Processing in Agriculture
Information Processing in Agriculture Agricultural and Biological Sciences-Animal Science and Zoology
CiteScore
21.10
自引率
0.00%
发文量
80
期刊介绍: Information Processing in Agriculture (IPA) was established in 2013 and it encourages the development towards a science and technology of information processing in agriculture, through the following aims: • Promote the use of knowledge and methods from the information processing technologies in the agriculture; • Illustrate the experiences and publications of the institutes, universities and government, and also the profitable technologies on agriculture; • Provide opportunities and platform for exchanging knowledge, strategies and experiences among the researchers in information processing worldwide; • Promote and encourage interactions among agriculture Scientists, Meteorologists, Biologists (Pathologists/Entomologists) with IT Professionals and other stakeholders to develop and implement methods, techniques, tools, and issues related to information processing technology in agriculture; • Create and promote expert groups for development of agro-meteorological databases, crop and livestock modelling and applications for development of crop performance based decision support system. Topics of interest include, but are not limited to: • Smart Sensor and Wireless Sensor Network • Remote Sensing • Simulation, Optimization, Modeling and Automatic Control • Decision Support Systems, Intelligent Systems and Artificial Intelligence • Computer Vision and Image Processing • Inspection and Traceability for Food Quality • Precision Agriculture and Intelligent Instrument • The Internet of Things and Cloud Computing • Big Data and Data Mining
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