大豆油生物柴油低温流动性能影响的研究

以大豆油为原料采用碱催化酯交换法合成生物柴油,测定了其酸值、游离甘油、总甘油、灰分、黏度和磷含量等指标。实验表明,共存的甲醇、水分和甘油酯对生物柴油的低温流动性能影响极少,饱和脂肪酸甲酯的同时析出对生物柴油低温流动性能起关键作用。考察了5种柴油降凝剂、0号和20号柴油以及乙醇对生物柴油低温流动性能的影响。0号柴油有效地改善生物柴油黏度,但对其低温流动性能影响不大。20号柴油和乙醇能显著降低生物柴油的凝点、倾点、冷滤点和黏度。其中3种降凝剂有效降低生物柴油的凝点和倾点,1种降凝剂能小幅度改善冷滤点,5种降凝剂都能使生物柴油的黏度小幅上升。     

几种生物柴油的制备及其流变学性能的比较

以六种常见的动植物油脂为原料,制备生物柴油并测定其脂肪酸甲酯分布、凝点和冷滤点值。以动态流变仪为主要研究手段,研究了六种生物柴油的流体性能及相关影响因素。结果表明,生物柴油的凝点和冷滤点值受其脂肪酸甲酯分布的影响,饱和脂肪酸甲酯含量高的生物柴油,其凝点和冷滤点值也相应较高。流变学测定实验表明,六种生物柴油样品的流体性能受温度和剪切速率的影响。在较低的剪切速率范围内表现为典型的非牛顿流体行为,而在较高的剪切速率下则表现为牛顿流体行为。当流体温度高于生物柴油的相变温度时,六种生物柴油的表观黏度无明显差别,说明在该温度条件下生物柴油的脂肪酸甲酯分布对其流体黏度值影响不大;当流体温度接近其相变温度时,生物柴油流体黏度出现突跃式升高且其突变温度高于其冷滤点温度。     

生物柴油树种油脂脂肪酸组成对燃料特性的影响

以目前中国主要开发或具有开发潜能的10种生物柴油树种为研究对象,分析其果实或种子油脂脂肪酸组成对合成生物柴油燃料特性的影响。结果表明,木本植物生物柴油产品十六烷值、碘值、氧化安定性等燃料特性主要由原料油脂肪酸的不饱和度决定,脂肪酸不饱和度低于133.13,十六烷值(GB/T 20828-2007)和碘值(EN 14214)就可以达标。生物柴油产品冷滤点随着长碳链饱和脂肪酸的增加而升高,脂肪酸饱和碳链长度因子分别小于8.41和2.72时,可以满足冷滤点0℃和-10℃的要求。高品质生物柴油的原料中应该具有较高的单元不饱和脂肪酸含量。通过油脂脂肪酸单不饱和脂肪酸、多不饱和脂肪酸和饱和脂肪酸的组成绘制出生物柴油特性三角预测图,为预测生物柴油产品燃料特性提供参考依据。     

改性聚丙烯酸高级酯的合成及其降凝效果的考察

用酯化和热聚合同时进行的方法合成了聚丙烯酸高级醇酯（PAE），并对其进行改性，得到改性聚丙烯酸高级酯（MPAE），在实验室评价了MPAE对几种0#柴油的低温流动性能的改进效果。结果表明，该工艺路线产品的收率几乎达到100％，成本低。并且，改性后的聚丙烯酸高级酯在较宽的分子量范围内具有较好的降凝效果；相比之下，改性之前聚丙烯酯高级酯只在很窄的分子量范围内具有降凝效果。与其它柴油降凝剂相比，MPAE对柴油具有良好的感受性，一般能降低柴油冷滤点3℃－6℃，凝固点降幅在10℃－12℃左右，具备了工业化价值。     

固载双功能酸性离子液体催化剂[PSMIM]HSO4/SiO2的制备及其催化制备生物柴油

该大学生创新研究项目以清洁能源为切入点,借助绿色催化剂离子液体催化制备生物柴油。在制备双功能Brönsted酸性离子液体[PSMIM]HSO4的基础上,以多孔氧化硅为载体,采用物理负载法制备固载型催化剂[PSMIM]HSO4/SiO2。并以此为催化剂催化葵花油制备生物柴油,探讨催化剂用量、反应时间、醇油比和反应温度对生物柴油产率的影响。结果表明：醇油比为25：1、催化剂用量为8%、反应温度为160℃、时间为10 h的条件下,生物柴油的转化率达到92.5%。采用FTIR、13C NMR、XRD对催化剂结构进行表征;采用GC-2010气相色谱对生物柴油进行组分分析;并对其密度、运动黏度、凝点等理化性能进行了测定。结果表明所制得的生物柴油基本符合我国生物柴油的标准。本项目的开展不仅在研究成果方面取得了一定的成绩,同时也使学生的创新意识和团队意识,以及教师的教学能力得到提升。     

NiW/SAPO-11催化剂制备方法对柴油异构降凝性能的影响

以SAPO-11分子筛作为酸性载体替代传统的ZSM-5分子筛,选用Ni/W双金属为活性组分制备异构降凝催化剂,采用XRD、BET、Py-IR等手段对催化剂进行表征。以长庆直馏柴油为原料,在10mL高压固定床微型反应装置上进行了评价,考察了不同的催化剂制备方法对催化剂性能的影响,优选出较好的制备工艺。实验结果表明,先通过混捏法引入Ni金属组分再通过浸渍法引入W金属组分,所制得的催化剂异构降凝性能较好。在反应温度340℃、反应压力4.0MPa、空速1.0h-1、氢油体积比500∶1的条件下,长庆直馏柴油的凝点由0℃降低至-28℃,产品中柴油收率达到96.0%。     

超高效液相色谱法测定生物柴油中的11种脂肪酸及脂肪酸甲酯

建立了采用超高效液相色谱(UPLC)-蒸发光散射检测器(ELSD)测定生物柴油中11种常见的脂肪酸及脂肪酸甲酯含量的方法。这11种常见的脂肪酸及脂肪酸甲酯为豆蔻酸、亚油酸、棕榈酸、油酸、亚麻酸甲酯、硬脂酸、亚油酸甲酯、棕榈酸甲酯、油酸甲酯、芥酸和硬脂酸甲酯。样品经提取后用甲醇溶解,采用Acquity UPLC BEH Phenyl C18柱(100 mm×2.1 mm,1.7 μm)分离,乙腈-水（体积比为3∶1)混合液为流动相进行等度洗脱,采用的ELSD条件为增益80,漂移管温度为45 ℃,载气压力为172 kPa,雾化器为冷却模式,并用外标法进行定量分析。结果表明,在一定的质量浓度范围内,峰面积的对数和质量浓度的对数线性关系良好。与其他检测生物柴油成分的方法相比,该方法简单,分离效果好,速度快,特别是此方法可以同时实现脂肪酸及脂肪酸甲酯的分离,并进行定量分析,能有效测定反应的进行程度,从而满足生物柴油工艺研究的需要。     

富马酸十六醇酯-苯乙烯二元共聚物柴油低温流动改进剂的合成、表征及性能评价(英文)

以富马酸和十六醇为原料、对甲苯磺酸为催化剂、对苯二酚为阻聚剂、甲苯为溶剂,采用直接酯化法制备了富马酸十六醇酯单体（DHF）;以富马酸十六醇酯和苯乙烯为聚合单体、过氧化苯甲酰为引发剂,通过自由基聚合制备了富马酸十六醇酯-苯乙烯二元共聚物（FOS）。用IR、¹H-NMR对DHF单体及FOS共聚物进行了表征,分析了张家港0# 柴油和胜利海科5# 柴油的正构烷烃分布,考察了共聚物的降滤效果,讨论了降滤作用机理。结果表明,当添加剂量为0.1%时,FOS能使张家港0# 柴油冷滤点降低6℃,胜利海科柴油5# 柴油冷滤点降低3℃;FOS对不同柴油表现出了不同的感受性;与2种商业降凝剂复配后,表现出良好的协同效应,作为商业降凝剂的优良助剂,FOS具有一定的应用前景。     

野西瓜种子油中脂肪酸的气相色谱-质谱分析

采用加速溶剂萃取及索氏提取法,用正己烷和乙醚为提取剂从野西瓜种子中提取油脂,经浓H2SO4催化,甲醇甲酯化处理后,以气相色谱-质谱联用技术鉴定出野西瓜种子中的脂肪酸主要组成为:油酸、亚油酸、硬脂酸等,其中不饱和脂肪酸总量占91.4%,主要成分油酸占73.3%。野西瓜种子油具有较高的营养价值,同时也可为生物柴油提供良好的原料。     

酸性离子液体催化油酸酯化合成生物柴油简

酸性离子液体具有催化活性好、选择性高及易于回收等优点,是一种应用前景非常好的环境友好的酸性催化剂,在生物柴油合成反应中具有重大的理论意义和应用价值. 本文以油酸和甲醇为原料,探讨了7种不同酸性离子液体在生物柴油合成反应中的催化效应. 研究表明,离子液体酸性越强,催化酯化活性越高;引入磺酸基团可大大增强离子液体Brönsted酸性,使其在酯化反应中发挥溶剂/催化剂的双重作用,促进酯化反应向产物方向进行,达到高产率,因而1-丁基磺酸-3-甲基咪唑硫酸氢盐（[BHSO₃MIM]HSO₄）催化效果最好. 此外,系统研究了[BHSO₃MIM]HSO₄催化油酸与甲醇酯化反应,并采用响应面法优化了反应条件. 结果发现,该反应的最适醇酸摩尔比、催化剂用量、反应温度及反应时间分别为4：1,10%（基于油酸的质量）,130 ℃和4 h;在此条件下,生物柴油产率为97.7%. [BHSO₃MIM]HSO₄连续使用10批次后,仍能保持初始催化活性的95.6%,表现出极好的操作稳定性. 另外,利用该离子液体催化游离脂肪酸含量为72%的废油脂生产生物柴油,反应6 h可获得产率94.9%. 可见,[BHSO₃MIM]HSO₄在酯化生产生物柴油方面具有巨大的应用潜力.     

不同波长的光对生物柴油氧化安定性的影响

为了研究光对生物柴油氧化安定性的影响,以小桐子生物柴油为研究对象,在20 ℃下用不同波长的光照射处理48 h,并对处理后的样品进行氧化安定性分析。 结果表明,不同波长的光对生物柴油氧化的促进作用是不同的,以紫光为代表的短波长光对小桐子油生物柴油氧化的促进作用最强,其诱导期由5.12 h降至2.65 h,减少48%;波长较长的红光对生物柴油氧化的促进作用最弱,其诱导期降至4.61 h,减少10%。 对不同波长的光处理的生物柴油进行酸值滴定、成分分析和紫外表征,结果表明,随着光波长的减小,生物柴油的酸值从0.2577 mg/g 增加到0.3438 mg/g;含有两个碳碳双键的亚油酸甲酯的相对含量降低;共轭双键的吸收峰增大。 说明光波长越短,对生物柴油氧化的促进作用越强。     

Comparative study of oxidative stability of sunflower and cotton biodiesel through P-DSC

Biodiesel can contain unsaturated fatty acids, which are susceptible to oxidation, being able to change into polymerized compounds. Oxidative stability is very important in the quality control of oils and biodiesel. In this study, biodiesel samples were produced through the methyl route, using a homogeneous catalyst. The determination of methyl esters was performed by gas chromatography in order to confirm the conversion of the carboxylic acids present in the raw material for the methyl esters. Also proved the presence of methyl linoleate and methyl oleate to the major constituent of biodiesel. The thermal and oxidative stability of sunflower and cotton oils and their biodiesel, using TG and P-DSC techniques were investigated. The use of P-DSC to measure the oxidative induction time was very important. These measurements were used to evaluate the cotton and sunflower oils, and their respective biodiesel. It was found that the thermal-oxidative stability of vegetable oils and their biodiesel were similar, due to the fact that both presented chemical composition and percentages of fatty acids similar.     

Determination of Fatty Acid Methyl Esters in Biodiesel Produced from Yellow Horn Oil by LC

A simple and accurate HPLC method with refractive index detection was developed to determine the main fatty acid methyl esters in biodiesel produced from yellow horn oil. Methyl linoleate, methyl linolenate, methyl arachidate, methyl stearate, methyl palmitate and methyl oleate were separated on a HIQ SIL C18W column using methanol as mobile phase. The method has good repeatability and precision, the intraday and interday RSD for both retention time and peak area was less than 3.2%. The LOD (S/N = 3) and LOQ (S/N = 9) were less than 0.004 and 0.015 mg mL⁻¹, respectively.     

Liquid–liquid equilibria for mixtures containing water,methanol, fatty acid methyl esters,and glycerol

The liquid–liquid equilibrium (LLE) data, including tie-lines and phase boundaries, were measured for the ternary systems of water + methanol + methyl oleate, water + methanol + methyl linoleate, glycerol + methanol + methyl oleate, and glycerol + methanol + methyl linoleate at temperatures from 298.2 K to 318.2 K under atmospheric pressure. All the LLE data follow the Othmer-Tobias equation. Each ternary system behaves type-I LLE. The areas of two-liquid coexistence region decrease with increasing temperature. The experimental data were applied to test the validity of the UNIFAC model and its modified versions, including UNIFAC-LLE and UNIFAC-Dortmund. The LLE data were also correlated with the NRTL and the UNIQUAC models. The UNIQUAC model yielded better results.     

The first step of biodiesel autoxidation by differential scanning calorimetry and DFT calculations

The radical abstraction reaction of (bis)-allylic hydrogen in biodiesel fatty acid chains is the first step of autoxidation, being the rate-determining one. Some intrinsic features of the intermediary radicals can determine the oxidative stability (OS) under thermodynamic control. In the present study, some common fatty acid methyl esters present in biodiesel (stearate, oleate, ricinoleate, and linoleate) were oxidized in non-isothermal conditions, using differential scanning calorimetry, and the results were compared with quantum chemical calculations at the density functional theory level. The OS order (saturated > monounsaturated > polyunsaturated) was observed in both approaches (experimental and theoretical). A slight deviation observed between oleate and ricinoleate OS’s was explained based on their allylic radicals resonance and the influence of vicinal hydroxyl group. A linear relationship was found between oxidation temperature by pressurized differential scanning calorimetry and the calculated bond dissociation energy (C–H) for the first step of autoxidation.     

Production and Characterization of Biodiesel from Tung Oil

The feasibility of biodiesel production from tung oil was investigated. The esterification reaction of the free fatty acids of tung oil was performed using Amberlyst-15. Optimal molar ratio of methanol to oil was determined to be 7.5:1, and Amberlyst-15 was 20.8wt% of oil by response surface methodology. Under these reaction conditions, the acid value of tung oil was reduced to 0.72mg KOH/g. In the range of the molar equivalents of methanol to oil under 5, the esterification was strongly affected by the amount of methanol but not the catalyst. When the molar ratio of methanol to oil was 4.1:1 and Amberlyst-15 was 29.8wt% of the oil, the acid value decreased to 0.85mg KOH/g. After the transesterification reaction of pretreated tung oil, the purity of tung biodiesel was 90.2wt%. The high viscosity of crude tung oil decreased to 9.8mm²/s at 40 °C. Because of the presence of eleostearic acid, which is a main component of tung oil, the oxidation stability as determined by the Rancimat method was very low, 0.5h, but the cold filter plugging point, −11 °C, was good. The distillation process did not improve the fatty acid methyl ester content and the viscosity.     

Multivariate near infrared spectroscopy models for predicting the iodine value, CFPP, kinematic viscosity at 40 degrees C and density at 15 degrees C of biodiesel

Biodiesel is one of the main alternatives to fossil diesel. It is a non-toxic renewable resource, which leads to lower emissions of polluting gases. In fact, European governments are targeting the incorporation of 20% of biofuels in the fossil fuels until 2020.Chemically, biodiesel is a mixture of fatty acid methyl esters, derived from vegetable oils or animal fats, which is usually produced by a transesterification reaction, where the oils or fats react with an alcohol, in the presence of a catalyst. The European Standard (EN 14214) establishes 25 parameters that have to be analysed to certify biodiesel quality and the analytical methods that should be used to determine those properties.This work reports the use of near infrared (NIR) spectroscopy to determine some important biodiesel properties: the iodine value, the cold filter plugging point, the kinematic viscosity at 40 °C and the density at 15 °C. Principal component analysis was used to perform a qualitative analysis of the spectra and partial least squares regression to develop the calibration models between analytical and spectral data. The results support that NIR spectroscopy, in combination with multivariate calibration, is a promising technique applied to biodiesel quality control, in both laboratory and industrial-scale samples.     

Thiol–ene coupling reaction of fatty acid monomers

The reactivities and reaction rates of the thiol–ene coupling reaction of 2‐ethyl‐(hydroxymethyl)‐1,3‐propanediol trimercapto acetate and 2‐ethyl‐(hydroxymethyl)‐1,3‐propanediol trimercapto propionate with two common unsaturated fatty acid methyl esters (methyl oleate and methyl linoleate) were evaluated. The reactions were monitored with real‐time IR and ¹H NMR, which both showed that the mercapto acetate was more reactive than the mercapto propionate. Both thiols were more prone to add to the monounsaturated methyl oleate than to methyl linoleate, which contained two unconjugated double bonds. According to bond energy calculations, the thiol hydrogen of mercapto acetate was somewhat more difficult to abstract than the hydrogen of mercapto propionate. Consequently, the formed S? C bond in the acetate case was stronger than in the propionate case, and so the equilibrium was more shifted toward the addition products. The real‐time IR measurements also showed that the cis unsaturation in methyl oleate isomerized much more quickly than that in methyl linoleate, and this also had an impact on the overall addition rate of the thiols because a trans unsaturation was more reactive than a cis unsaturation. The higher isomerization rates in the oleate systems, compared with those of the linoleate systems, was suggested to be due to a more restricted rotation along the C? C bond of the reacted unsaturation in linoleate. This study showed the importance of trans unsaturations in obtaining reasonable reaction rates in thiol–ene reactions with fatty acid derivatives. © 2004 Wiley Periodicals, Inc. J Polym Sci Part A: Polym Chem 42: 6346–6352, 2004