A review:Health benefits and physicochemical characteristics of blended vegetable oils

Oil blending is the method of choice used worldwide to improve oxidative stability and nutritional value.There is no such edible oil/fat that meets all the recommendations from the health point of view.The fatty acid composition of vegetable oils decides the fate of the oil.Pure single oil is unable to provide a balanced amount of fatty acids(FAs)required/recommended on a daily intake basis.Blending oils/fats is an appropriate procedure of physically mixing multiple oils in suitable proportions which may provide functional lipids with improved antioxidant potential and desirable physical and chemical properties.This review piled up the accessible data on the blending of diverse oils/fats in the combination of binary,ternary,quaternary,or other types of oils into a single blended oil.Blending can be found very convincing towards appropriate FA profile,enhancement in physicochemical characteristics,and augmented stability for the period of storage or when used as cooking/frying processes which could ultimately serve as an effectual dietary intervention towards the health protectiveness.

Formulation of Motor Oil from Blends of Rubber Latex Cup Bottom Oil (RLBO) and Used Frying Oil (UFO)

Most motor oils are made from mineral oils derived from petroleum, the reserves of which are limited and exhaustible. The aim of this study is to produce and characterize motor oil formulations based on mixtures of rubber latex cup bottom oil (RLCBO) and used frying oil (UFO). The results show that these formulations have a density between 0.91 and 0.92. These densities evolve linearly with the proportion of cup bottom oil and temperature. Similarly, the kinematic viscosity of the blends follows an exponential relationship with temperature. By plotting the logarithm of these kinematic viscosities against the inverse of the temperature, we were able to determine the activation energy of the various blends and deduce that the formulations behave Newtonian.

Oxidative degradation of sunflower oil blended with roasted sesame oil during heating at frying temperature

The efficacy of roasted sesame oil(SO)on the oxidation deterioration of sunflower oil(SFO)during heating was investigated.The concentrations of SO in the SFO were 0,10%,20%,and 30%by volume.The oxidation profile of oil samples was monitored by evaluating the generation of oxidation products and chemical alterations in the oils'composition during heating at frying temperature(180℃).The results showed that the oxidation parameters(free fatty acid,peroxide value,p-anisidine value,total oxidation status,thiobarbituric acid value,and color index)increased significantly in SFO compared to blends or SO during thermal treatment.During heating,the concentration of polyunsaturated fatty acids(PUFA)was reduced with increased level of saturated fatty acids;these results were observed more in SFO than those of SO or blend oils.However,the presence of SO in SFO reduced the decomposition of PUFA.In Fourier-transform infrared spectroscopy,the peak intensities were significantly altered in SFO compared to the blend oils during heating.Based on the most analytical data,it may be agreed that the heating at frying temperature led to the generation of relatively higher contents of oxidative products in SFO compared to blend oils,showing a lower degree of oxidation occurred in blends.The best frying performance for the SFO was achieved by using 30%SO extracted from the roasted sesame seed.This study showed the proper blending of high polyunsaturated oil with SO can produce oil blends with high nutritional values and enhanced stability for daily cooking and deep-frying applications.

To Blend or Not to Blend? Anxiety Buffering Effects of Essential Oil Aromas

Essential oils of pure lavender and lavender blends have been employed as potential anxiolytic aromas in aromatherapy, but a direct comparison of their effectiveness is lacking. The current study investigated the effects of aroma on induced anxiety in non-clinical adults, comparing pure lavender, a commercially available blend and a no aroma control. An experimental, quantitative, mixed factorial design with an opportunity sample of 60 participants was employed. Participants were randomly allocated to three equal groups, one tested in a room infused with lavender aroma, the second with the doTerra Peace® blend, and the third free from any aroma. Participants’ state anxiety scores were measured before and after a novel video-based anxiety induction procedure. Data analysis revealed that the anxiety induction was successful and that both aromas delivered small to medium-sized buffering effects compared to no aroma. The findings add to a small body of research in an area where the practice is global yet has limited scientific evaluation. Future studies utilising brain imaging and blood serum analysis to investigate the anxiolytic mechanism of aromas would be beneficial to further our understanding.

A Novel Scheduling Strategy for Crude Oil Blending

For those refineries which have to deal with different types of crude oil, blending is an attractive solution to obtain a quality feedstock. In this paper, a novel scheduling strategy is proposed for a practical crude oil blending process. The objective is to keep the property of feedstock, mainly described by the true boiling point (TBP) data, consistent and suitable. Firstly, the mathematical model is established. Then, a heuristically initialized hybrid iterative (HIHI) algorithm based on a two-level optimization structure, in which tabu search (TS) and differential evolution (DE) are used for upper-level and lower-level optimization, respectively, is proposed to get the model solution. Finally, the effectiveness and efficiency of the scheduling strategy is validated via real data from a certain refinery.

A Study on Conversion of Marine Diesel Engines Using Blended Palm Oil for Inland Waterway Vessels in Vietnam

The climate change and limitation of natural resources becomes main obstacle for the global economical development. So, the Vietnamese Government is very much concerned with reduction of harmful gas discharging from the inland-water way ships. To overcome the problems, there are many counter-measures proposed such as： renovation of machinery and equipment, using re-creative energy and so on. The author＇s idea is to find a suitable method which can be applied on board of the inland-water ships to reduce discharging toxic gas by using blended palm oil as alternative fuel for marine diesel engines. Due to some disadvantages of the bended palm oil in comparison with traditional DO （diesel oil）, such as： low freezing point, high viscosity, low stability of blended fue, therefore somehow, the blended palm oil must be made a ship directly on board. With this idea, the author has designed and made agitate mixing equipment working on-line with fuel supply system of a diesel engine. The mixing equipment, then, has been tested at shore-side laboratory as well as on board ships. The research results showed that the fuel mixture （palm oil-DO） made by this mixing equipment is fully usable to replace traditional DO for marine diesel engines installed on board ships of inland water way in Vietnam. The Vietnamese Government accepted the research results as prerequisite to devise specific and practical action plans to reduce the pollution from the inland water way ships in coming years.

A Method for Crude Oil Selection and Blending Optimization Based on Improved Cuckoo Search Algorithm

Refineries often need to find similar crude oil to replace the scarce crude oil for stabilizing the feedstock property. We introduced the method for calculation of crude blended properties firstly, and then created a crude oil selection and blending optimization model based on the data of crude oil property. The model is a mixed-integer nonlinear programming(MINLP) with constraints, and the target is to maximize the similarity between the blended crude oil and the objective crude oil. Furthermore, the model takes into account the selection of crude oils and their blending ratios simultaneously, and transforms the problem of looking for similar crude oil into the crude oil selection and blending optimization problem. We applied the Improved Cuckoo Search(ICS) algorithm to solving the model. Through the simulations, ICS was compared with the genetic algorithm, the particle swarm optimization algorithm and the CPLEX solver. The results show that ICS has very good optimization efficiency. The blending solution can provide a reference for refineries to find the similar crude oil. And the method proposed can also give some references to selection and blending optimization of other materials.

Anti-Fatigue Effect of Blended <i>Camellia oleifera Abel</i>Tea Oil and Ge-132 in Mice

Nowadays, people are busier and busier for working and living, and suffer a lot of pressure on their body or mind. Therefore, people are prone to have fatigue activity and decrease their working efficiency and happiness. It was reported that fatigue is a common symptom in the community, with up to half of the general population complaining of fatigue. More and more researchers devoted themselves to studying natural active ingredients in organism as the anti-fatigue drugs to release fatigue symptom. However, these natural ingredients were difficult to obtain from plants, animals and microorganisms by separating and purifying. In addition, some active substances have many side effects. In our study, we employed tea seed oil as main ingredients blended with bis-(carboxyethylgermanium) sesquioxide (Ge-132) to investigate the effects of anti-fatigue on mice by administrating mice with low dose, intermediate dose and high dose of tea seed oil complex for 0, 2 or 4 weeks. The specific tests of studying effects of anti-fatigue were body weight, weight-loaded force swimming, blood urea nitrogen, blood lactic acid and hepaticglycogen. And the results showed that appropriate level of tea seed oil complex could decrease the body weight and prolong the weight-loaded swimming time, and had an active effect on the bloodurea nitrogen, hepatic glycogen and blood lactic acid level mice, which significantly embodied the anti-fatigue activity of tea seed oil complex.

Experimental Study on Performance and Combustion Analysis of a Diesel Engine Fueled with Diesel and Jatropha Oil Blended with Heptane

This work focuses on blending Jatropha oil with diesel fuel and heptane to improve its physico-chemical characteristics for production of blends and their use as fuel in a diesel engine. The influence of the heptane content was evaluated by comparing the results obtained from the engine (performance and combustion parameters) with those of the diesel fuel and straight Jatropha oil. The results obtained show an improvement in engine performance especially at low loads. Specifically, a reduction in the specific fuel consumption of the engine is obtained when the heptane content in the mixture is around 10% compared to that obtained with pure Jatropha oil. The best results were obtained with the blend containing 70% Jatropha oil, 20% diesel fuel and 10% heptane (J70G20H10). Overall engine efficiency and exhaust gas temperatures are comparable for all fuels tested. Engine combustion parameters are improved with J70G20H10. The results obtained with J70G20H10 are close to those of the engine operating on diesel fuel. The cyclic dispersion is low with coefficients of variation of the indicated mean effective pressure (COVIMEP) whose values are less than 10%. The lowest values of the COVIMEP are obtained with the blend J70G20H10.

Effect of Blended Rice Bran and Olive Oil on Cardiovascular Risk Factors in Hyperlipidemic Patients

The present study was designed to evaluate the effectiveness of blended rice bran and olive oil on hyperlipidemic subjects. A total of 60 moderately hyperlipidemic patients (Total Cholesterol (TC) >200 mg/dl and/or Triglycerides (TG) >150 mg/dl) with an age range of 45 - 60 were selected from Mediciti Hospital of Ludhiana and were divided into two groups: Group A and Group B containing 30 subjects each. The subjects of Group B were given blended rice bran and olive oil for a time period of 45 days and were asked to continue with their routine eating and physical activity pattern. The subjects of Group A were kept on their regular cooking oil. The serum lipid values were assessed before and after the study. Additional parameters assessed included anthropometry, dietary fat intake and physical activity pattern. The results showed that there was an insignificant change in the average body mass index (BMI) of the subjects of Group B before (27.0 kg/m2) and after (26.9 kg/m2) the study respectively. Also, there was an insignificant change in the lipid levels of the subjects of Group B after the study. The levels of TC and LDL cholesterol decreased by 3.7 and 9.0 percent respectively. Whereas, the levels of TG and VLDL cholesterol increased by 9.5 percent in the subjects of Group B after the feeding trials. Further, systolic and diastolic blood pressure of the subjects of Group B reduced by 2.9 and 2.3 percent respectively. An insignificant change was observed in all the parameters of selected subjects. So, the present study recommends carrying out more long duration research studies to evaluate the effectiveness of this blended oil.

基于脂肪酸组成结合主成分分析识别不同比例大豆油和菜籽油调配的调和油

结合脂肪酸组成和化学计量学方法,对大豆油、菜籽油及其不同比例的二元调和油的识别进行基础研究,并分析不同比例调和油中脂肪酸含量的变化。结果表明在大豆油和菜籽油中,共检出脂肪酸组分17种,主要以油酸、亚油酸、棕榈酸和亚麻酸为主。在以不同比例低芥酸菜籽油和大豆油调配的调和油中,脂肪酸含量随调和比例的改变而呈现一定趋势的增加或减小。结合脂肪酸组成,对所有的139个样品进行了主成分分析(PCA),结果表明大豆油和菜籽油可以互相实现区分,不同比例的调和油样品分布在调配的溯源样品之间,基本按照比例关系分布成一条直线。研究通过对菜籽油、大豆油及其不同比例调配的调和油的脂肪酸组成进行了定量分析,分析了它们之间脂肪酸组成的变化,并结合化学计量学手段进行一些识别分析,为规范调和油的生产和保障公平有序的调和油市场提供参考。

GA与分层优化结合的掺水集油工艺参数优化

为降低进入特高含水阶段油田的掺水集油能耗,对掺水集油工艺参数进行优化。以掺水温度、掺水量、掺水压力为外层决策变量,加热炉和掺水泵运行方案为内层决策变量,以掺水集油工艺综合能耗最低为目标函数,建立掺水集油工艺参数优化模型。提出了一种遗传算法(Genetic Algorithm,GA)与分层优化结合的求解策略,将掺水温度作为染色体上的基因,先优化个体对应加热炉和掺水泵运行方案,得到个体对应的最小集油能耗,再通过种群的不断迭代进化,得到掺水集油工艺的最优参数。研究结果表明,与优化前相比,掺水温度降低8.3℃,掺水量减少131.6 m^(3)/d,掺水压力降低0.15 MPa,集输吨液综合能耗降低13.64%,优化效果良好。研究成果可为进入特高含水阶段油田降低掺水集油能耗提供借鉴。

杏北油田掺水系统全流程能量优化方法的研究与应用

油田含水率的上升和产液规模的不断增大,导致集输能耗逐年增加,如何保持开发效益,降低集输能耗,成为高含水开发阶段面临的一大难题。随着节能工作不断深入,潜力已得到很大程度的挖掘,常规技术节能空间小,能耗管控压力大。因此开展能量系统优化技术研究,该方法转变原来区域优化的方式,统筹采油井、计量间、转油站、脱水站四个环节,通过确定末端能耗需求,逐级推导前端各环节能供给的方式,指导集输系统精细化、低能耗生产运行。杏北油田自2017年应用能量优化运行技术,由点及面逐步扩大规模,已实现水驱转油站全覆盖,截至目前累计节气5 621×10^(4)m^(3),节电3 275×10^(4)kWh,为油田集输系统降本增效提供了指导依据。

营养平衡调和油的配制及营养成分的测定

为解决单一食用油中营养组分缺陷问题,以大豆油、橄榄油、鱼油和亚麻籽油为基料油,测定其酸值、过氧化值、水分及挥发物含量和脂肪酸组成,然后按照中国营养学会关于脂肪酸推荐摄入量的要求,依据不同基料油的脂肪酸组成计算其配比并配制调和油,最后测定调和油的营养成分。结果表明:大豆油、橄榄油、亚麻籽油、鱼油的酸值、过氧化值、水分及挥发物含量均符合相关国家标准,4种油脂配制调和油的最适配比为45%、45%、8%、2%;调和油中主要微量营养成分及其含量为角鲨烯2.18 mg/kg、β-胡萝卜素0.474 mg/kg、α-生育酚73.6 mg/kg、β-生育酚0.6 mg/kg、γ-生育酚132.0 mg/kg、δ-生育酚20.4 mg/kg、总甾醇5 700 mg/kg。所得调和油符合中国营养学会关于脂肪酸推荐摄入量的要求,是一种营养平衡调和油。

长输原油管道并管混输运行方案研究

为实现长庆油田第三输油处姬惠线和油惠线不加降凝剂和减阻剂运行,实现节能降耗,通过建模仿真,开展并管混输运行模式研究。首先,建立管网仿真模型,利用现场近5年历史数据进行模型调试与校验,使模型精度达到95%以上,能够准确描述现场的水力和热力特征;然后,分析并管混输后的管道沿线水热力分布,结合各站场设备和管线情况,研究并管混输的可行性;接着,通过控制边界条件,模拟分析并管混输的输量和温度控制范围。最后,进行现场试验验证,对比分析理论与实际。结果表明:姬惠线通过姬马复线或新建联络线分输一部分原油至油惠线,均可实现姬惠线不加减阻剂、油惠线不加降凝剂运行;根据输油计划,最大可分输320 m^(3)/h,最小需分输182 m^(3)/h,冬季最低出站温度为57℃,与并管混输前相比,可降低33℃;经过现场试验与应用,研究结果与现场运行结果一致,实现了节能降耗。

拉曼光谱结合光谱特征区间筛选算法快速定量鉴别植物调和油品质

本研究提出了一种基于拉曼光谱与光谱特征区间筛选算法实现植物调和油中高价值植物油含量快速定量检测的方法。首先,将粒子群优化(particle swarm optimization,PSO)算法与灰狼优化(grey wolf optimization,GWO)算法融合构建混合智能优化算法,即PSOGWO算法。其次,将PSOGWO与组合移动窗口(combined moving window,CMW)策略结合构建新型的拉曼光谱特征区间筛选算法,即PSOGWO-CMW算法。然后,将玉米油(corn oil,CO)和特级初榨橄榄油(extra virgin olive oil,EVOO)以不同比例配制为CO-EVOO植物调和油,并采集其拉曼光谱。将拉曼光谱输入偏最小二乘回归、PSO-CMW、GWO-CMW和PSOGWO-CMW模型预测EVOO含量,并比较建模效果。结果表明,PSOGWO-CMW模型具有最佳的预测性能。采用本方法与气相色谱-质谱法分别检测真实的CO-EVOO植物调和油样本中EVOO含量,结果表明两者的检测性能无显著差异。本方法快速、准确,亦可用于其他植物调和油中高价值植物油含量的快速定量检测。

满足京VIB标准的高标号车用汽油调和配方研究与应用

介绍了某生产企业在实现满足京VIB汽车排放标准的高标号95号和98号车用汽油调和技术攻关及应用情况。总体来看,京VIB标准主要对汽油中的烯烃、芳烃和50%蒸发温度等指标进一步加严。从现有汽油调合组分主要性质出发,分别对现用京VIA 95/98号车用汽油生产调合配方和满足京VIB 95/98号车用汽油配方进行调和试验并分析研究。通过实验室小调配方的试验,尤其是创新使用戊烷油等汽油调和组分,最终确定了合理的调合配方,为满足高标号京VIB车用汽油工业化生产奠定了坚实的基础。同时也极大地提高了高标号汽油的调和成功率,降低了京VIB汽车的调和成本,满足了相关生产要求。

饲料混合植物油替代鱼油对不同品种异育银鲫生长性能和脂肪代谢的影响

为研究混合植物油替代鱼油对不同品种异育银鲫(Carassius gibelio)生长和脂肪代谢的影响,以鱼油(FO)和混合植物油(BVO,菜籽油﹕大豆油﹕棕榈油=55%﹕25%﹕20%,以模拟鱼油的脂肪酸组成)为饲料脂肪源,配制等氮等脂饲料配方,分别饲喂异育银鲫“中科3号”(5.01±0.05)g和“中科5号”(5.02±0.05)g,养殖周期70d。在饲料脂肪源效应上,BVO组摄食率显著高于而饲料效率显著低于FO组(P<0.05)。BVO组不同品种异育银鲫肌肉srebp-1c和acc的基因表达量显著升高,并造成体脂肪的显著积累(P<0.05)。BVO组显著改变了鱼体肌肉脂肪酸组成,分别上调和下调了肌肉Σn-6 PUFA和Σn-3 PUFA的相对含量(P<0.05)。在品种方面,不论摄食何种脂肪源,异育银鲫“中科5号”摄食率显著低于而饲料效率显著高于“中科3号”(P<0.05)。“中科5号”肌肉脂肪分解和脂肪酸β氧化基因hsl和aco3及肝脏aco3、fabp1b和fatp1的表达量均显著高于“中科3号”(P<0.05),且鱼体脂肪含量显著低于“中科3号”,表明“中科5号”可以更好地利用饲料脂肪来为机体供能。脂肪源和品种对异育银鲫特定生长率的影响存在交互作用,但“中科5号”摄食BVO组特定生长率与“中科3号”摄食FO组无显著性差异(P>0.05),表明了植物脂肪源在“中科5号”饲料应用中的巨大潜力。综上,研究阐述了不同品种异育银鲫对饲料脂肪源的利用差异及分子机制,为异育银鲫饲料脂肪源筛选和品种选育提供了理论和实践依据。

基于智能算法的多品质多性质原油调合与优化

针对炼油厂依靠传统经验调合原油难以满足加工原油质量要求和企业利润较低的问题,建立了基于原油相似度最大化和生产利润最大化的多目标优化数学模型,在比较5种鲁棒性较强的算法性能基础上,选择融合莱维飞行和随机游动策略的灰狼算法(LRGWO)对模型进行求解。结果表明:在LRGWO算法、灰狼算法(GWO)、第二代非支配排序遗传算法(NSGA-Ⅱ)、第三代非支配排序遗传算法(NSGA-Ⅲ)和粒子群算法(PSO)中,LRGWO算法所得最优解集的覆盖率、算法的整体性能最优;经过优化求解后,调合原油T1~T4与对应目标原油W1~W4的平均相似度达到95.82%,说明利用所建原油选择和调合模型可以得到与目标原油物性相近的调合原油;根据10种备选原油的价格,在最大采购量为175000 t的前提下,通过生产利润最大化模型优化调合原油T1~T4的加工量依次为50000,55000,40000,30000 t,企业生产利润最大为3358.19万元。