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范文编号:HG140 范文字数:10852,页数:27 摘 要：超临界流体萃取技术是一种高新分离技术，其应用和研究日益广泛。其中，超临界CO2流体萃取天然植物籽油已成为热门研究课题。在众多超临界流体萃取植物籽油的研究中，传质方面的研究相对较少。本文包含两个方面的内容：其一是对CO2的P-V-T数据的实验验证，涉及高压相平衡方面的知识，并且阐述了超临界CO2流体萃取天然植物籽油中传质方面的研究概况，列举了其中几种重要的传质理论模型；其二建立新型的物理模型—柱形缩心模型，以此物理模型为基础对其建立数学模型，并查取茶籽油等的文献数据来验证该模型，对于完全萃取时间的计算值与实验值较接近，所以本模型的预测值可满足放大试验的预测要求，而萃取时间对于收率的影响的预测与实验值偏离较大，有待进一步测定可靠的物理量来完善此模型。 关键词：超临界CO2流体萃取；P-V-T数据；传质模型 Abstract：Supercritical fluid extraction technology is a high-separation technology, its applications and researchs are more and more widely. Among them, the supercritical CO2 fluid extraction of natural plant oil already become a hot research topic. Among the supercritical fluid extraction of seed oil, the research of mass transfer was relatively small. This article contains two aspects: one is the P-V-T data experiments of CO2,it is related to high-pressure phase equilibrium knowledge.And described supercritical CO2 fluid extraction of natural plant oil in the area of mass profile, which listed several important theoretical model of mass transfer ; Second, establish a new physical model - column reduced heart model,also base on this physical model , a mathematical model was established.And take tea seed oil as a example, the literature search data to validate the model, the calculation for the full value of the extraction time experimental value is closer, so the prediction of the model test meets the forecast demand while the yield of extraction time for the prediction and experimental values deviate from the larger, demanding further experimental determination of reliable physical data to refine the model.
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