[Objective] This study was aimed to determine the optimal parameters for the extraction of perilla seed oil to obtain high-quality perilla seed oil and analyze its compositions. [Method] In this study, perilla seed oi...[Objective] This study was aimed to determine the optimal parameters for the extraction of perilla seed oil to obtain high-quality perilla seed oil and analyze its compositions. [Method] In this study, perilla seed oil was extracted using supercritical CO2 （SC-CO2）. The effects of extraction time, temperature and pressure were investigated by single-factor experiments and orthogonal array testing （ORT）. The chemical compositions of extracted perilla seed oil were investigated by GC-MS. [Result] The optimal conditions for the extraction of perilla seed oil using SC-CO2 were extraction time of 4 h, extraction temperature at 40 ℃, and extraction pressure at 23 MPa. Under these conditions, the extraction yield of perilla seed oil was maximized to 12.43%. GC-MS analysis revealed that perilla seed oil was a complex mixture containing 76.183% α-linolenic acid. [Conclusion] Supercritical CO2 extraction was proven to be an effective technology to extract oil from perilla seed, and GCMS was also a satisfactory method for analyzing the compositions of perilla seed oil.展开更多
Objective To optimize the extraction technology of perilla seeds oil from the oil cake of perilla seeds(OCPS)by using the contents of active fatty acids as evaluation standard.Methods The fatty acids were extracted fr...Objective To optimize the extraction technology of perilla seeds oil from the oil cake of perilla seeds(OCPS)by using the contents of active fatty acids as evaluation standard.Methods The fatty acids were extracted from OCPS,the residue of perilla seeds after cold-press,by smashing tissue extraction(STE),the new technology selected through comparing with classical leaching extraction(LE),Soxhlet extraction(SE),ultrasonic extraction(UE),and supercritical-CO2 fluid extraction(SFE).For optimized condition of STE,orthogonal test was designed and completed.The contents of five fatty acids in extracted oil and OCPS were determined by GC.Results The optimized extraction parameters were smashing for 1.5 min under extraction power of 150 W and 1:6 of the material/solvent ratio.The contents of five fatty acids in the oils extracted by five techniques from OCPS and determined by GC were as follows:α-linolenic acid(41.12%-51.81%),linoleic acid(15.38%-16.43%),oleic acid (18.93%-27.28%),stearic acid(2.56%-4.01%),and palmitic acid(7.38%-10.77%).Conclusion The results show that STE is the most efficient technology with the highest yield(LE:0.57%;SE:1.03%;UE:0.61%;SFE:0.80%;STE: 1.17%)and shortest time(LE:720 min;SE:360 min;UE:30 min;SFE:120 min;STE:1.5 min)among five tested extraction technologies.It is first reported using STE to extract herbal oil enriched with active fatty acids.展开更多
测定了紫苏油在超临界CO2 (SC CO2 )中的溶解度 ,利用误差逆传播 (BP)神经网络对溶解度数据进行了拟合。通过对萃取参数与溶解度的关系进行训练 ,实现网络结构的优化 ,建立了紫苏油在SC CO2 溶解度的网络模型 ,并将该模型用于一定范围...测定了紫苏油在超临界CO2 (SC CO2 )中的溶解度 ,利用误差逆传播 (BP)神经网络对溶解度数据进行了拟合。通过对萃取参数与溶解度的关系进行训练 ,实现网络结构的优化 ,建立了紫苏油在SC CO2 溶解度的网络模型 ,并将该模型用于一定范围内未知萃取参数下溶解度的预测 ,得到了较高的预测精度。结果表明 ,该方法可作为预测物质在SC CO2 溶解度的一种有效手段。展开更多
基金Supported by Undergraduate Innovation Training Program of Jiangsu Province(201610327010Z)~~
文摘[Objective] This study was aimed to determine the optimal parameters for the extraction of perilla seed oil to obtain high-quality perilla seed oil and analyze its compositions. [Method] In this study, perilla seed oil was extracted using supercritical CO2 （SC-CO2）. The effects of extraction time, temperature and pressure were investigated by single-factor experiments and orthogonal array testing （ORT）. The chemical compositions of extracted perilla seed oil were investigated by GC-MS. [Result] The optimal conditions for the extraction of perilla seed oil using SC-CO2 were extraction time of 4 h, extraction temperature at 40 ℃, and extraction pressure at 23 MPa. Under these conditions, the extraction yield of perilla seed oil was maximized to 12.43%. GC-MS analysis revealed that perilla seed oil was a complex mixture containing 76.183% α-linolenic acid. [Conclusion] Supercritical CO2 extraction was proven to be an effective technology to extract oil from perilla seed, and GCMS was also a satisfactory method for analyzing the compositions of perilla seed oil.
基金Chinese Northeast Characteristic Nutritional Plant Oil Construction Foundation and Industrialization Item(No.2008301026)
文摘Objective To optimize the extraction technology of perilla seeds oil from the oil cake of perilla seeds(OCPS)by using the contents of active fatty acids as evaluation standard.Methods The fatty acids were extracted from OCPS,the residue of perilla seeds after cold-press,by smashing tissue extraction(STE),the new technology selected through comparing with classical leaching extraction(LE),Soxhlet extraction(SE),ultrasonic extraction(UE),and supercritical-CO2 fluid extraction(SFE).For optimized condition of STE,orthogonal test was designed and completed.The contents of five fatty acids in extracted oil and OCPS were determined by GC.Results The optimized extraction parameters were smashing for 1.5 min under extraction power of 150 W and 1:6 of the material/solvent ratio.The contents of five fatty acids in the oils extracted by five techniques from OCPS and determined by GC were as follows:α-linolenic acid(41.12%-51.81%),linoleic acid(15.38%-16.43%),oleic acid (18.93%-27.28%),stearic acid(2.56%-4.01%),and palmitic acid(7.38%-10.77%).Conclusion The results show that STE is the most efficient technology with the highest yield(LE:0.57%;SE:1.03%;UE:0.61%;SFE:0.80%;STE: 1.17%)and shortest time(LE:720 min;SE:360 min;UE:30 min;SFE:120 min;STE:1.5 min)among five tested extraction technologies.It is first reported using STE to extract herbal oil enriched with active fatty acids.
文摘测定了紫苏油在超临界CO2 (SC CO2 )中的溶解度 ,利用误差逆传播 (BP)神经网络对溶解度数据进行了拟合。通过对萃取参数与溶解度的关系进行训练 ,实现网络结构的优化 ,建立了紫苏油在SC CO2 溶解度的网络模型 ,并将该模型用于一定范围内未知萃取参数下溶解度的预测 ,得到了较高的预测精度。结果表明 ,该方法可作为预测物质在SC CO2 溶解度的一种有效手段。
