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Supercritical carbon dioxide extraction of castor oil seed

机译:蓖麻籽的超临界二氧化碳萃取

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摘要

This study investigates the extraction of castor oil using supercritical carbon dioxide (SC-CO2). The response surface methodology (RSM) was employed to show explicitly the influence of the process parameters such as temperature, pressure and CO2 flow rate on the oil yield using the Box-Behnken design. The linear terms of pressure, CO2 flow rate and temperature, and the quadratic terms of temperature, pressure and CO2 flow rate had a significant effect on the oil yield. The maximum oil yield obtained from the mathematical model was predicted to be 9.29% under the conditions of temperature at 63.7 °C and pressure of 29.9 MPa with CO2 flow rate of 4.15 mL/min. Comparing the oil yield with the conventional soxhlet extraction, yields of 59.8%, 52.3% and 49.9% were obtained using ethanol, n-hexane and petroleum ether as solvents for optimized average particle sizes and extraction times of 1.30 mm and 2.88 h, 1.26 mm and 2.65 h and 1.25 mm and 2.55 h, respectively. In addition, the solubility of castor oil was measured at temperatures ranging from 313 to 335 K, and pressures 20 to 36 MPa, respectively. The measured solubilities ranged from 1.00 × 10-3 to 4.88 × 10-3 g of oil/g of CO2. The measurements confirmed that temperature and pressure have direct effects on solubilityenhancement factors. Five semi-empirical models were tested for correlating the experimental data from SC-CO2 extraction: the Chrastil, Del Valle Aguilera (VA), Bartle, Kumar and Johnston (KJ) and Mendez-Santiago and Teja (MST) models. The solubilities from these models had the following average absolute relative deviations (AARD%) from experimental data: 0.05% (Chrastil), 0.30% (VA), 0.38% (Bartle), 5.98 % (KJ) and 28.5% (MST). Thus, the Chrastil, VA and Bartle models correlated to the castor oil solubility data with the lowest AARD%. The physico-chemical properties of the seed oil extracted using the SC-CO2 and soxhlet methods were determined. Palmitic, stearic, oleic, linoleic, linolenic and ricinoleic acids were identified by gas chromatography-mass spectrometry (GC-MS) analysis after the formation of fatty acid methyl ester (FAME). For oxidation stability, castor oils derived from these extraction methods were heated in an oven at 70 °C for 0–12 weeks. The quality and oxidative stability of oil recovered by SC-CO2 were generally found to be better than that recovered by the soxhlet method. In addition, the parameters considered in this study, namely peroxide value, refractive index, pH, conductivity, acid value and free fatty acid offer an appropriate tool for evaluating the quality of castor oil during storage as well as its oxidative stability; the study also sheds light on the different responses of castor oil during storage.
机译:这项研究调查了使用超临界二氧化碳(SC-CO2)提取蓖麻油的方法。使用Box-Behnken设计,使用响应面方法(RSM)来明确显示工艺参数(例如温度,压力和CO2流量)对油收率的影响。压力,CO2流量和温度的线性项以及温度,压力和CO2流量的二次项对产油量有显着影响。在63.7°C的温度和29.9 MPa的压力,CO2流量为4.15 mL / min的条件下,从数学模型获得的最大油产率预计为9.29%。将油产率与常规索氏提取法进行比较,使用乙醇,正己烷和石油醚作为溶剂可得到59.8%,52.3%和49.9%的产率,优化的平均粒径和提取时间分别为1.30 mm和2.88 h,1.26 mm分别为2.65小时,1.25毫米和2.55小时。另外,分别在313至335K的温度和20至36MPa的压力下测量蓖麻油的溶解度。测得的溶解度范围为1.00×10-3至4.88×10-3 g油/ g CO2。测量结果证实温度和压力对溶解度增强因子有直接影响。测试了五个半经验模型以关联来自SC-CO2提取的实验数据:Chrastil,Del Valle Aguilera(VA),Bartle,Kumar和Johnston(KJ)以及Mendez-Santiago和Teja(MST)模型。这些模型的溶解度与实验数据相比具有以下平均绝对相对偏差(AARD%):0.05%(Chrastil),0.30%(VA),0.38%(Bartle),5.98%(KJ)和28.5%(MST)。因此,Chrastil,VA和Bartle模型与具有最低AARD%的蓖麻油溶解度数据相关。测定了使用SC-CO2和索氏萃取法提取的种子油的理化性质。脂肪酸甲酯(FAME)形成后,通过气相色谱-质谱(GC-MS)分析鉴定出棕榈酸,硬脂酸,油酸,亚油酸,亚麻酸和蓖麻油酸。为了氧化稳定性,将这些提取方法得到的蓖麻油在70°C的烤箱中加热0-12周。通常发现,用SC-CO2回收的油的质量和氧化稳定性要好于用索氏提取法回收的油。此外,本研究中考虑的参数,即过氧化物值,折射率,pH,电导率,酸值和游离脂肪酸,为评估蓖麻油在储存过程中的质量及其氧化稳定性提供了合适的工具。该研究还揭示了蓖麻油在储存过程中的不同反应。

著录项

  • 作者

    Danlami Jibrin Mohammed;

  • 作者单位
  • 年度 2015
  • 总页数
  • 原文格式 PDF
  • 正文语种 en
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