CO2 Research and Green Technologies Centre, Vellore Institute of Technology, Vellore, Tamilnadu, India.
Environ Sci Pollut Res Int. 2019 Oct;26(30):31301-31314. doi: 10.1007/s11356-019-06214-7. Epub 2019 Aug 30.
Non-edible seeds are not used in any commercial applications, which implies that they can be used for biofuel applications. The present study aimed to maximise the process conditions for oil extraction and sterculia biodiesel production from Sterculia foetida (poon oil). GC-MS identified the methyl esters of sterculia oil as sterculic acid (32%), palmitic acid (15.88%), oleic acid (10.00%), linoleic acid (9.95%) and malvalic acid (9%). Response surface methodology (RSM) based parametric optimisation of oil extraction was carried out by choosing process variables such as sample weight, volume of solvent to seed ratio and time. The optimum sample amount of 7.5 g and the volume of solvent to seed ratio of 40 mL/g resulted in a maximum oil yield of 45.27% at 3 h. The results were statistically significant (P < 0.05) with a regression coefficient (R) of 0.9988. Furthermore, the artificial neural network (ANN) resulted in an R value greater than 0.9, which validates the RSM. Conventional optimisation of the temperature (55 °C), feedstock to methanol ratio (1:12), catalyst proportion (1.5%) and transesterification reaction time (60 min) yield 90.87% biodiesel production. The physicochemical characteristics of oil and biodiesel complied with the requirements of the ASTM standards. The rate constant and thermodynamic variables at the optimum temperature (333 K) were calculated from the experimental data. The activation energy (E), activation enthalpy in transition state theory (ΔH), activation entropy in transition state theory (ΔS) and Gibbs free energy in transition state theory (ΔG) were 37.91 kJ mol, 35.14 kJ mol, - 239.58 J mol K and 79.81 kJ mol respectively. Graphical abstract.
非食用种子未用于任何商业应用,这意味着它们可用于生物燃料应用。本研究旨在优化从乌桕(桐油)中提取油和乌桕生物柴油的工艺条件。GC-MS 鉴定出乌桕油的甲酯为乌桕酸(32%)、棕榈酸(15.88%)、油酸(10.00%)、亚油酸(9.95%)和马尿酸(9%)。基于响应面法(RSM),通过选择样品重量、溶剂与种子的比例和时间等工艺变量,对油提取进行参数优化。最佳样品量为 7.5 g,溶剂与种子的比例为 40 mL/g,3 h 时油产量最高,为 45.27%。结果具有统计学意义(P < 0.05),回归系数(R)为 0.9988。此外,人工神经网络(ANN)的 R 值大于 0.9,验证了 RSM 的有效性。常规优化温度(55°C)、原料与甲醇的比例(1:12)、催化剂比例(1.5%)和酯交换反应时间(60 min)可得到 90.87%的生物柴油产量。油和生物柴油的理化特性符合 ASTM 标准的要求。从实验数据计算出最佳温度(333 K)下的速率常数和热力学变量。活化能(E)、过渡态理论中的活化焓(ΔH)、过渡态理论中的活化熵(ΔS)和过渡态理论中的吉布斯自由能(ΔG)分别为 37.91 kJ/mol、35.14 kJ/mol、-239.58 J/mol·K 和 79.81 kJ/mol。