首页> 美国卫生研究院文献>Molecules >Quickly Identifying High-Risk Variables of Ultrasonic Extraction Oil from Multi-Dimensional Risk Variable Patterns and a Comparative Evaluation of Different Extraction Methods on the Quality of Forsythia suspensa Seed Oil
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Quickly Identifying High-Risk Variables of Ultrasonic Extraction Oil from Multi-Dimensional Risk Variable Patterns and a Comparative Evaluation of Different Extraction Methods on the Quality of Forsythia suspensa Seed Oil

机译:从多维风险变量模式快速识别超声波提取油的高风险变量以及不同提取方法对连翘种子油质量的比较评价

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摘要

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.
机译:通常,使用有机溶剂,蒸馏,超声和超临界萃取方法从植物中提取目标油和目标成分。超声提取(UE)具有效率高的优点,但其过程复杂且变量众多。在这项研究中,首次应用L18-Hunter实验设计来研究将UE应用于种子油的实用性。从风险分析中获得了六个潜在的高风险变量,包括数字和非数字类型,并筛选了它们对总产量和抗氧化活性的影响。此外,还分析了通过不同萃取方法(即UE,超临界流体萃取(SFE),索氏萃取(SE)和加氢蒸馏萃取(HD))获得的油。通过FT-IR,GC-MS和抗氧化剂活性对这些油进行了比较研究。所得结果表明,溶剂的类型,溶剂对固体的比率,萃取力和时间是影响萃取得率的重要变量,而抗氧化活性仅受溶剂的类型影响。产量模型和抗氧化剂活性模型的回归系数分别为0.79和0.91,模型的ANOVA分别为0.013和<0.0001。 β-P烯是UE,SFE,SE和HD方法中油中的主要丰富成分,含量约为46%〜52.4%。总之,L18-Hunter设计可以用作快速筛选高风险变量的有效实验设计方法。关于萃取效率,化学成分和生物活性,UE不仅提供了可靠的种子油萃取工艺,而且与SFE,SE和HD萃取工艺相比,还为食品和制药行业提供了时间和成本效益方面的优势。

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