Illustrating Bioseparations Using Colorful Proteins
Illustrating Bioseparations Using Colorful Proteins
批准号:
0633527
负责人:
Stephanie Farrell
金额:
$0.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2007
资助国家:
美国
项目状态:
已结题
起止时间:
2007-07-01 至 2010-06-30
中文摘要
化学工程(53)根据生物技术,制药,医疗技术和化学工业的最新进展开发商业规模的工艺,需要新的化学工程师清楚地了解生物化学原理,以及技术背后的化学工程基础。 该项目的目标是通过开发令人兴奋的,视觉上吸引人的实验来改善本科课程和实验室,这些实验使用彩色蛋白质来教授生物化学工程和生物分离原理。 正在开发八个模块,向学生介绍蛋白质的物理特性和生物过程性能的基本原理。 这些模块侧重于分离具有不同物理特性的彩色蛋白质混合物。 这些模块使学生能够研究单个生物分离技术背后的驱动力。 正在开发色谱(离子交换、尺寸排阻和疏水相互作用)和膜分离方面的单独实验。 这些技术依赖于蛋白质的三个独立的物理性质:电荷,大小和疏水性。 可以修改每个实验以说明分离性能对蛋白质性质和操作条件的敏感性。 关于蛋白质生产和蛋白质性质预测的模块也在开发中。 在模块开发过程中,将评估设备需求和成本、易用性和可重复性。 这些模块将在大一,初中和高中课程中采用,并通过学生调查,访谈和教师评估进行有效性评估。
英文摘要
Chemical Engineering (53)Developing commercial-scale processes based on recent advances in biotechnology, pharmaceutical, medical technology, and chemical industries requires that new chemical engineers clearly understand the biochemical principles in addition to the chemical engineering fundamentals behind the technology. The objective of this project is to improve undergraduate courses and laboratories through the development of exciting, visually-appealing experiments that use colorful proteins to teach biochemical engineering and bioseparation principles. Eight modules are being developed that introduce students to the physical properties of proteins and the fundamentals of bioprocess performance. The modules focus on separating mixtures of colorful proteins with different physical properties. These modules allow students to investigate the driving forces behind individual bioseparation techniques. Individual experiments in chromatographic (ion exchange, size exclusion, and hydrophobic interaction) and membrane-based separations are being developed. These techniques rely on three separate physical properties of the proteins: charge, size, and hydrophobicity. Each experiment can be modified to illustrate the sensitivity of separation performance to protein properties and operating conditions. Modules on protein production and protein property prediction are also in development. During module development, equipment needs and cost, ease of use, and repeatability will be evaluated. These modules will be adopted in freshman, junior, and senior level courses, with effectiveness evaluated through student surveys, interviews, and instructor assessment.
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会议论文
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