SBIR Phase I: A Versatile Continuous Adsorption and Simulated Moving Bed (SMB) System for Multi-component Biochemical Purification

SBIR 第一阶段：用于多组分生化纯化的多功能连续吸附和模拟移动床 (SMB) 系统

• 批准号: 0215146
• 负责人: Nien-Hwa Wang
• 金额: $ 10万
• 依托单位: Versachrom, LLC
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-07-01 至 2002-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0215146&HistoricalAwards=false
• 关键词: SBIR; Phase; Versatile; Continuous; Adsorption

This Small Business Innovation Research (SBIR) Phase I Project proposes to develop an integrated software package for the design and optimization of novel Simulated Moving Bed processes for multi-component separation and purification. Innovative design methods, simulation software and equipment have been developed and tested at the laboratory-scale for a number of biological separations, including amino acids, sugars, a peptide drug, an antibiotic, an anticancer drug and an antiviral drug. Laboratory data show that the new technology can produce high purity (99%) chemicals at high yield (99%). When compared to conventional batch chromatography, this technology can increase product yield by 5% to 15%, increase throughput per bed volume and reduce solvent consumption by an order of magnitude. During this Phase I Project, new tools for parameter estimation and cost optimization will be developed and integrated with existing design and simulation tools. This will result in a user-friendly interface for the integrated package. The commercial applications of this project are in the area of recovery and purification of pharmaceuticals and other biochemicals. The proposed technology is expected to impact purification costs in a major way, resulting in annual savings of several million dollars per product.

该小型企业创新研究（SBIR）第一阶段项目旨在开发一个集成软件包，用于设计和优化用于多组分分离和纯化的新型模拟移动床工艺。创新的设计方法、模拟软件和设备已经开发出来，并在实验室规模上进行了测试，用于许多生物分离，包括氨基酸、糖、肽类药物、抗生素、抗癌药物和抗病毒药物。实验室数据表明，新技术可以以高产率（99%）生产高纯度（99%）的化学品。与传统的间歇色谱相比，该技术可以将产品收率提高5%至15%，增加单位床体积的通量，并将溶剂消耗降低一个数量级。在第一阶段项目期间，将开发用于参数估计和成本优化的新工具，并将其与现有的设计和仿真工具集成。这将为综合软件包提供一个用户友好的界面。该项目的商业应用领域是药品和其他生物化学品的回收和纯化。预计拟议的技术将对净化成本产生重大影响，每个产品每年可节省数百万美元。