Chrome Extension
WeChat Mini Program
Use on ChatGLM

Reactions of Triflate Esters and Triflamides with an Organic Neutral Super-Electron-donor

Organic and biomolecular chemistry(2012)

Univ Strathclyde

Cited 43|Views8
Abstract
The bis-pyridinylidene 13 converts aliphatic and aryl triflate esters to the corresponding alcohols and phenols respectively, using DMF as solvent, generally in excellent yields. While the deprotection of aryl triflates has been seen with other reagents and by more than one mechanism, the deprotection of alkyl triflates is a new reaction. Studies with (18)O labelled DMF indicate that the C-O bond stays intact and hence it is the S-O bond that cleaves, underlining that the cleavage results from the extraordinary electron donor capability of 13. Trifluoromethanesulfonamides are converted to the parent amines in like manner, representing the first cleavage of such substrates by a ground-state organic reducing reagent.
More
Translated text
Key words
Artificial Metalloenzymes
求助PDF
上传PDF
Bibtex
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
  • Pretraining has recently greatly promoted the development of natural language processing (NLP)
  • We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
  • We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
  • The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
  • Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Related Papers
G. W. Kenner, M. A. Murray
1949

被引用34 | 浏览

1953

被引用100 | 浏览

DB DENNEY, B GOLDSTEIN
1956

被引用36 | 浏览

Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper

要点】:本文报道了一种新型有机中性超电子给体催化的三氟甲磺酸酯和三氟甲磺酰胺的脱保护反应,实现了烷基三氟甲磺酸酯的高效脱保护和首次通过有机还原剂实现三氟甲磺酰胺的脱保护。

方法】:使用双吡啶基化合物13作为超电子给体,在DMF溶剂中实现三氟甲磺酸酯和三氟甲磺酰胺的脱保护反应。

实验】:通过使用标记的DMF证实了反应过程中C-O键的完整性,揭示了S-O键的断裂机制。实验结果展示了该反应在优秀产率下转化了脂肪族和芳族三氟甲磺酸酯以及三氟甲磺酰胺至相应的醇、酚和胺。数据集名称未在文本中提及,故无法提供。