SBIR Phase I: Combining Size Exclusion Chromatography and Matrix Assisted Laser Desorption/Ionization to Determine the Molecular Weight of Polydispersive Polymers

SBIR 第一阶段：结合尺寸排阻色谱法和基质辅助激光解吸/电离来测定多分散聚合物的分子量

• 批准号: 9760224
• 负责人: James Dwyer
• 金额: $ 9.99万
• 依托单位: Lab Connections, Inc.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1998
• 资助国家: 美国
• 起止时间: 1998-01-01 至 1998-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9760224&HistoricalAwards=false
• 关键词: SBIR; Phase; Combining; Size; Exclusion

*** 9760224 Dwyer This Small Business Innovation Research Phase I project proposes to develop improved methods for the measurement of the molecular weight of synthetic polymers. Size Exclusion Chromatography and Matrix Assisted Laser Desorption/Ionization Mass Spectrometry(MALDI-MS) will be combined in an automated sample preparation and data analysis system. While MALDI-MS provides a direct measurement of molecular weight, accurate determinations are obtained only with narrow dispersity polymers. Chromatographic separation combined with MALDI-MS is effective for polydisperse samples.The proposed instrument utilizes established technology to concentrate/deposit chromatographically separated components onto a metal foil pre-coated with matrix. The deposit is probed by the MALDI-MS excitation laser, and spectra are collected, and processed to provide molecular weight distribution of the sample. The resolving power of MS also enables structural and comonomer composition analysis. Molecular weight measurements are predictors of polymer performance and are routinely carried out in 8,000 laboratories worldwide. Interest in determining the molecular weight distribution of commercial polymers using the MALDI-MS technique is very high. ***

* 9760224德怀尔 该小型企业创新研究第一阶段项目旨在开发用于测量合成聚合物分子量的改进方法。 分子排阻色谱法和基质辅助激光解吸/电离质谱法（MALDI-MS）将在自动化样品制备和数据分析系统中结合使用。 虽然MALDI-MS提供了分子量的直接测量，但只有窄分散性聚合物才能获得准确的测定。 色谱分离结合MALDI-MS对多分散样品是有效的。该仪器利用现有技术将色谱分离的组分浓缩/存款在预先涂有基质的金属箔上。通过MALDI-MS激发激光探测存款，收集光谱，并进行处理以提供样品的分子量分布。 MS的分辨能力还使得能够进行结构和共聚单体组成分析。 分子量测量是聚合物性能的预测指标，在全球8，000个实验室中进行常规测量。使用MALDI-MS技术测定商业聚合物的分子量分布的兴趣非常高。 ***