globalchange  > 影响、适应和脆弱性
项目编号: 1531454
项目名称:
MRI: Acquisition of an Ultrahigh Resolution Mass Spectrometer for Interdisciplinary Research and Education
作者: Lynn Mazzoleni
承担单位: Michigan Technological University
批准年: 2014
开始日期: 2015-10-01
结束日期: 2017-09-30
资助金额: USD540111
资助来源: US-NSF
项目类别: Standard Grant
国家: US
语种: 英语
特色学科分类: Geosciences - Atmospheric and Geospace Sciences
英文关键词: mass spectrometry instrument ; ultrahigh mass resolution ; high mass resolution ; research opportunity ; ultrahigh mass resolution thermo orbitrap elite ms
英文摘要: Mass spectrometry instruments with ultrahigh mass resolution and extreme sensitivity are especially well suited for the analysis of complex environmental samples, such as found in the organic mixtures in atmospheric aerosols, and a range of natural waters and hydrometeors. The proposal seeks to acquire and commission an ultrahigh mass resolution Thermo Orbitrap Elite MS, with high mass resolution aiding in more accurate molecular weight determination, and interfaced with 2-D liquid chromatography to aid in separation in mixtures of like compounds.

Molecular signatures and relative quantities of molecules in complex mixtures will be used initially to further our understanding of: (1) atmospheric aerosol processes (e.g., cloud cycling and aging) and properties (e.g., hygroscopicity and volatility); (2) carbon cycling responses to changes in biota and climate; and additional applications such as: (3) multiphase reaction chamber work; (4) fate of organic contaminants during water treatment

Advanced analytical instrumentation also significantly expands the research opportunities and training exercises for students, postdocs and the next generation of researchers/teachers.
资源类型: 项目
标识符: http://119.78.100.158/handle/2HF3EXSE/93150
Appears in Collections:影响、适应和脆弱性
气候减缓与适应

Files in This Item:

There are no files associated with this item.


Recommended Citation:
Lynn Mazzoleni. MRI: Acquisition of an Ultrahigh Resolution Mass Spectrometer for Interdisciplinary Research and Education. 2014-01-01.
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Lynn Mazzoleni]'s Articles
百度学术
Similar articles in Baidu Scholar
[Lynn Mazzoleni]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Lynn Mazzoleni]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.