Fourier Transform NMR for Liquids and Solids in the Undergraduate Curriculum
Fourier Transform NMR for Liquids and Solids in the Undergraduate Curriculum
批准号:
9751497
负责人:
William Shirley
金额:
$10.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
1997
资助国家:
美国
项目状态:
已结题
起止时间:
1997-05-15 至 1999-04-30
中文摘要
化学系计划将一种具有固态能力的傅立叶变换核磁共振(FT-核磁共振)光谱仪纳入其本科课程。购买这台光谱仪是其继续努力使化学计划现代化的主要部分。有机实验室计划的本科生在获得质子和碳核磁共振谱方面获得第一手经验,作为课程的一部分,强调学生对合成的规划和设计。涉及液体样品的高级FT-核磁共振实验明显影响到本科生的生物化学、聚合物和物理化学实验室以及本科生的研究。该系有一个非常活跃的本科生研究项目,学生们在美国化学学会的地区性和全国性会议上发表演讲。该项目的一个独特之处在于,固体的高分辨率核磁共振将成为本科生实验室体验的一部分。在有机化学、分析化学、物理/无机化学和聚合物化学的本科实验室课程中,提供了五个涉及固态核磁共振的新实验。固体核磁共振是本科生研究催化表面和聚合物的重要工具。固体核磁共振仪器的最新进展使将固体核磁共振带入本科课程成为可能。
英文摘要
The Chemistry Department plans to incorporate a Fourier-transform nuclear magnetic resonance (FT-NMR) spectrometer with solid-state capabilities into its undergraduate curriculum. The purchase of this spectrometer is a major part of its continuing effort to modernize the chemistry program. Undergraduates in the organic laboratory program gain first-hand experience in obtaining proton and carbon NMR spectra as part of a course emphasizing student planning and design of syntheses. Advanced FT-NMR experiments involving liquid samples clearly impact the undergraduate biochemistry, polymer, and physical chemistry laboratories as well as undergraduate research. The department has a very active undergraduate research program, with students making presentations at regional and national meetings of the American Chemical Society. A unique part of the project is that high-resolution NMR of solids is to be part of the undergraduate laboratory experience. Five new experiments involving solid-state NMR are provided for undergraduate laboratory courses in organic, analytical, physical/inorganic, and polymer chemistry. Solid-state NMR is an important tool for undergraduate research in catalytic surfaces and polymers. Recent advances in solid-state NMR instrumentation make it possible to bring solid-state NMR to an undergraduate program.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
国内基金
海外基金
视觉智能Shapelet Transform驱动的SHM数据关联分析与域自适应迁移机制深度学习
-
批准号:52108276
-
项目类别:青年科学基金项目(C类)
-
资助金额:30.0万元
-
批准年份:2021
-
负责人:陈柳洁
-
依托单位: