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Further qualification of a model-based process design for plant-based products using macroscopic and microscopic material parameters and non-invasive vibrational spectroscopy

使用宏观和微观材料参数以及非侵入式振动光谱对植物产品的基于模型的工艺设计进行进一步鉴定

基本信息

批准号：
201143946
负责人：
Professor Dr. Hartwig Schulz
金额：
--
依托单位：
Institut für ökologische Chemie, Pflanzenanalytik und Vorratsschutz
依托单位国家：
德国
项目类别：
Research Grants
财政年份：
2011
资助国家：
德国
起止时间：
2010-12-31 至 2018-12-31
项目状态：
已结题

来源：
https://gepris.dfg.de/gepris/projekt/201143946?language=en
关键词：
Further qualification model based process

项目摘要

Due to missing fundamentals and neglecting botanical parameters the currently used solid-liquid extraction models have deficits in the prediction of phytoextraction processes.Furthermore, there are no systematic pretreatment and solvent selection methods considering not only yield but also purity and product quality. Based on the results of the current DFG research project enhancements and specification of prediction quality of solid-liquid extraction models as well rapid vibrational spectroscopic methods for the qualitative and quantitative assessment of herbal samples should be pursued in the subsequent project.As a model plant yew, sage and fennel should be further investigated. Both project partners were able to develop enough expertise with the use of these plants in the current project. Thus, time-consuming development and transfer of analytical methods are omitted. The analysis as well as taxonomic characterization of material content will be performed with more sensitive methods combined with an improved statistics for further development with regard to the target component.Enhancements of the current extraction models should be done by including both plant material parameters such as tissue structure, porosity, swelling capacity, drug distribution, and the influence of various mechanical pre-treatments (grinding, sonication, microwave digestion) and the resulting particle sizes on the extraction success.Subsequently, the developed vibrational spectroscopic quantification methods should be applied on- and in-line to process control at appropriate and relevant stages in the extraction process. In addition, solubilizing effects on the example of diterpene glycosides of yew should be examined. Using the generated data, the accuracy of the solvent screening with COSMO-RS should be improved by taking account solubilizers.Afterwards, the advanced screening methods will be applied to fennel and sage.With the help of improved predictive models for solid liquid extraction an optimal process alternative should be proposed and validated in mini-plant scale.Finally, the knowledge about systematic and efficient process design of phytoextraction processes gained by extraction of yew needles, sage leaves and fennel fruits will be applied to other plant parts to prove their plant-independent and thus systematic process development.

目前常用的固液萃取模型由于缺少基本原理和忽略植物学参数，对植物萃取过程的预测存在不足，而且没有系统的预处理和溶剂选择方法，既考虑了萃取率，又考虑了纯度和产品质量。基于DFG当前研究项目的结果，固-液萃取模型的预测质量的改进和规范以及用于草药样品定性和定量评估的快速振动光谱方法应在后续项目中继续进行。作为模式植物紫杉，鼠尾草和茴香应进一步研究。两个项目合作伙伴都能够在当前项目中利用这些工厂发展足够的专业知识。因此，省去了耗时的分析方法的开发和转移。将采用更灵敏的方法结合改进的统计学方法对物质含量进行分析和分类学表征，以进一步开发目标成分。应通过包括植物材料参数（如组织结构、孔隙度、溶胀能力、药物分布）和各种机械预处理的影响来增强当前提取模型随后，开发的振动光谱定量方法应在提取过程中的适当和相关阶段应用于在线和在线过程控制。此外，应检查对紫杉的二萜糖苷的实例的增溶作用。利用生成的数据，通过考虑增溶剂，提高COSMO-RS溶剂筛选的准确性。然后，将先进的筛选方法应用于茴香和鼠尾草。借助改进的固液萃取预测模型，提出最佳工艺方案，并在小型工厂规模上进行验证。最后，通过提取红豆杉针叶获得的关于植物提取过程的系统和有效的工艺设计的知识，鼠尾草叶和茴香果实将应用于其它植物部分，以证明它们与植物无关，从而证明系统的工艺开发。