Ming Liangshan, Huang Hao, Jiang Yumao, Cheng Gengjinsheng, Zhang Daoying, Li Zhe
National Engineering Research Center for Modernization of Traditional Chinese Medicine (TCM)-Hakka TCM Resource Branch Center, School of Pharmacy, Gannan Medical University, Ganzhou 341000, China.
Key Laboratory of Preparation of Modern TCM, Ministry of Education, Jiangxi University of TCM, Nanchang 330004, China.
Molecules. 2019 Sep 23;24(19):3445. doi: 10.3390/molecules24193445.
Generally, essential oils and components of interest are extracted from plants using organic solvent, distillation, ultrasound and supercritical extraction methods. Ultrasonic extraction (UE) has the advantage of high efficiency, but its process is complicated and it has numerous variables. In this study, an L18-Hunter experimental design was applied for the first time to investigate the practicability of applying UE to seed oil. Six potential high-risk variables, including numerical and non-numeric types, were obtained from the risk analysis and their impacts on global yield and antioxidant activity were screened. Furthermore, oils obtained by different extraction processes (i.e., UE, supercritical fluid extraction (SFE), soxhlet extraction (SE) and hydrodistillation extraction (HD)) were analyzed. A comparative study of these oils was characterized and compared by FT-IR, GC-MS and antioxidant activity. The obtained results show that the type of solvent, solvent-to-solid ratio, extraction power and time were the significant variables affecting the extraction yield, whereas antioxidant activity was only affected by the type of solvent. The regression coefficients of the yield and antioxidant activity models were 0.79 and 0.91, and the ANOVA of the models were 0.013 and <0.0001, respectively. Beta-Pinene was the main abundant component in the oils for the UE, SFE, SE and HD methods and the content was about 46%~52.4%. In conclusion, the L18-Hunter design could be used as an effective experimental design method for rapid screening of high-risk variables. Regarding extraction efficiency, chemical composition and biological activity, UE not only offered a robust seed oil extraction process, but also provided a time- and cost-effective advantage to the food and pharmaceutical industry when compared to the SFE, SE and HD extraction processes.
一般来说,使用有机溶剂、蒸馏、超声和超临界萃取方法从植物中提取精油和感兴趣的成分。超声提取(UE)具有效率高的优点,但其过程复杂且变量众多。在本研究中,首次应用L18-Hunter实验设计来研究超声提取应用于种子油的可行性。通过风险分析获得了六个潜在的高风险变量,包括数值型和非数值型,并筛选了它们对总产率和抗氧化活性的影响。此外,还分析了通过不同提取工艺(即超声提取、超临界流体萃取(SFE)、索氏提取(SE)和水蒸馏提取(HD))获得的油。通过傅里叶变换红外光谱(FT-IR)、气相色谱-质谱联用(GC-MS)和抗氧化活性对这些油进行了表征和比较。所得结果表明,溶剂类型、溶剂与固体的比例、提取功率和时间是影响提取产率的显著变量,而抗氧化活性仅受溶剂类型的影响。产率和抗氧化活性模型的回归系数分别为0.79和0.91,模型的方差分析分别为0.013和<0.0001。β-蒎烯是超声提取、超临界流体萃取、索氏提取和水蒸馏提取方法所得油中的主要丰富成分,含量约为46%~52.4%。总之,L18-Hunter设计可作为快速筛选高风险变量的有效实验设计方法。在提取效率、化学成分和生物活性方面,与超临界流体萃取、索氏提取和水蒸馏提取工艺相比,超声提取不仅提供了一种强大的种子油提取工艺,还为食品和制药行业提供了时间和成本效益优势。