arrow
返回

Compositional Analysis of Complex Mixtures using Automatic MicroED Data Collection

delete2024-04-22
delete1
delete
OA
AI
J
Johan Unge
J
Jieye Lin
S
Sara J. Weaver
A
Ampon Sae Her
T
Tamir Gonen *
DOI:10.1002/advs.202400081delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
Quantitative analysis of complex mixtures, including compounds having similar chemical properties, is demonstrated using an automatic and high throughput approach to microcrystal electron diffraction (MicroED). Compositional analysis of organic and inorganic compounds can be accurately executed without the need of diffraction standards. Additionally, with sufficient statistics, small amounts of compounds in mixtures can be reliably detected. These compounds can be distinguished by their crystal structure properties prior to structure solution. In addition, if the crystals are of good quality, the crystal structures can be generated on the fly, providing a complete analysis of the sample. MicroED is an effective method for analyzing the structural properties of sub-micron crystals, which are frequently found in small-molecule powders. By developing and using an automatic and high throughput approach to MicroED, and with the use of SerialEM for data collection, data from thousands of crystals allow sufficient statistics to detect even small amounts of compounds reliably. Quantitative analysis of complex mixtures, including chemically similar compounds, is demonstrated using an automatic and high throughput approach to MicroED. Compositional analysis can be accurately executed without the need of diffraction standards. Compounds are distinguished by their structure properties prior to structure solution. With sufficient statistics, small amounts of compounds in mixtures can be reliably detected. The crystal structures can be directly solved providing good quality data. image
Keyword:
analytical
automation
composition
CryoEM
high-throughput
microcrystal electron diffraction
MicroED

期刊

Advanced Science 封面图
Advanced Science
IF:
14.1
论文数:
1.8W
被引数:
11.5W

机构

University of California System 封面图
University of California System
学者数:
37.5W
论文数: 33.7W
被引数: 6.6K
引用论文

引用论文

Q Fever in US Military Returning from Iraq
err2007-09-01
err0
PREAI
errTodd D. Gleeson; Catherine F. Decker; Mark D. Johnson; Joshua D. Hartzell; John R. Mascola
err分享
err收藏
err
IF0
err
err0
PREAI
err
err分享
err收藏
Update on appropriate use criteria for amyloid PET imaging: Dementia experts, mild cognitive impairment, and education淀粉样蛋白PET成像的适当使用标准更新: 痴呆症专家,轻度认知障碍和教育
err2013-07-01
err0
errOAAI
errKeith A. Johnson; Satoshi Minoshima; Nicolaas I. Bohnen; Kevin J. Donohoe; Norman L. Foster; Peter Herscovitch; Jason H. Karlawish; Christopher C. Rowe; Saima Hedrick; Virginia Pappas; Maria C. Carrillo; Dean M. Hartley
err分享
err收藏
Software tools for automated transmission electron microscopy自动透射电子显微镜的软件工具
err2019-05-13
err321
errOAAI
errSchorb, Martin; Haberbosch, Isabella; Hagen, Wim J. H.; Schwab, Yannick; Mastronarde, David N.
err分享
err收藏
err分享
err收藏
Measurement Method for Noise Exposure of Jobs of the Construction Sector
err2008-05-01
err0
PREAI
errSamuel Quintana; Marcos D. Fernandez; Noelia Chavarria; Jose A. Ballesteros; Isabel Gonzalez
err分享
err收藏
学者 查看更多内容