通过对奎宁环的 13C NMR 分析区分辛可宁和辛可尼丁衍生物

IF 1.1 4区 物理与天体物理 Q4 PHYSICS, ATOMIC, MOLECULAR & CHEMICAL
Denilson F. Oliveira, Alan R. T. Machado, Mariana G. Aguilar, Abraão J. S. Viana
{"title":"通过对奎宁环的 13C NMR 分析区分辛可宁和辛可尼丁衍生物","authors":"Denilson F. Oliveira,&nbsp;Alan R. T. Machado,&nbsp;Mariana G. Aguilar,&nbsp;Abraão J. S. Viana","doi":"10.1007/s00723-024-01687-3","DOIUrl":null,"url":null,"abstract":"<div><p>With a view to developing a procedure for the differentiation of cinchonine derivatives from cinchonidine derivatives by NMR analysis, experimental data on cinchonine and cinchonidine, after their dissolution in different solvents (CDCl<sub>3</sub>, CD<sub>3</sub>OD and DMSO-<i>d</i><sub><i>6</i></sub>), were compared with theoretical data, originating from different methodologies: DP4, DP4+ , <i>J</i>-DP4 and ANN. Taking into account the lower computational consumption, as well as the greater efficiency in differentiation, the method selected was the trained artificial neural networks (ANN), which considered only the <sup>13</sup>C data from the quinuclidine ring. The method successfully differentiated derivatives originating from OH group protection in ester and ether forms; replacement of the OH group by F and NH<sub>2</sub>; insertions of N<sub>3</sub>, 1<i>H</i>-1,2,3-triazol-1-yl and CH<sub>3</sub>O groups, linked to the quinoline ring; conversion of the vinyl group to the 1-benzyl-1<i>H</i>-1,2,3-triazol-4-yl; and of hydrogenation, dehydrogenation, and bromination of the vinyl group. In all cases the application of the ANN method succeeded in differentiation of cinchonine from cinchonidine derivatives.</p></div>","PeriodicalId":469,"journal":{"name":"Applied Magnetic Resonance","volume":"55 11","pages":"1377 - 1388"},"PeriodicalIF":1.1000,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Differentiation of Cinchonine and Cinchonidine Derivatives Through 13C NMR Analysis of the Quinuclidine Ring\",\"authors\":\"Denilson F. Oliveira,&nbsp;Alan R. T. Machado,&nbsp;Mariana G. Aguilar,&nbsp;Abraão J. S. Viana\",\"doi\":\"10.1007/s00723-024-01687-3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>With a view to developing a procedure for the differentiation of cinchonine derivatives from cinchonidine derivatives by NMR analysis, experimental data on cinchonine and cinchonidine, after their dissolution in different solvents (CDCl<sub>3</sub>, CD<sub>3</sub>OD and DMSO-<i>d</i><sub><i>6</i></sub>), were compared with theoretical data, originating from different methodologies: DP4, DP4+ , <i>J</i>-DP4 and ANN. Taking into account the lower computational consumption, as well as the greater efficiency in differentiation, the method selected was the trained artificial neural networks (ANN), which considered only the <sup>13</sup>C data from the quinuclidine ring. The method successfully differentiated derivatives originating from OH group protection in ester and ether forms; replacement of the OH group by F and NH<sub>2</sub>; insertions of N<sub>3</sub>, 1<i>H</i>-1,2,3-triazol-1-yl and CH<sub>3</sub>O groups, linked to the quinoline ring; conversion of the vinyl group to the 1-benzyl-1<i>H</i>-1,2,3-triazol-4-yl; and of hydrogenation, dehydrogenation, and bromination of the vinyl group. In all cases the application of the ANN method succeeded in differentiation of cinchonine from cinchonidine derivatives.</p></div>\",\"PeriodicalId\":469,\"journal\":{\"name\":\"Applied Magnetic Resonance\",\"volume\":\"55 11\",\"pages\":\"1377 - 1388\"},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2024-07-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Magnetic Resonance\",\"FirstCategoryId\":\"101\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s00723-024-01687-3\",\"RegionNum\":4,\"RegionCategory\":\"物理与天体物理\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"PHYSICS, ATOMIC, MOLECULAR & CHEMICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Magnetic Resonance","FirstCategoryId":"101","ListUrlMain":"https://link.springer.com/article/10.1007/s00723-024-01687-3","RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PHYSICS, ATOMIC, MOLECULAR & CHEMICAL","Score":null,"Total":0}
引用次数: 0

摘要

为了开发一种通过核磁共振分析区分金鸡纳衍生物和金鸡纳啶衍生物的程序,我们将金鸡纳和金鸡纳啶在不同溶剂(CDCl3、CD3OD 和 DMSO-d6)中溶解后的实验数据与源自不同方法的理论数据进行了比较:DP4、DP4+、J-DP4 和 ANN。考虑到较低的计算消耗和更高的区分效率,选择的方法是训练有素的人工神经网络(ANN),它只考虑了来自奎宁环的 13C 数据。该方法成功地区分了以下衍生物:酯和醚形式的 OH 基保护衍生物;用 F 和 NH2 取代 OH 基的衍生物;插入 N3、1H-1,2,3-三唑-1-基和 CH3O 与喹啉环相连的衍生物;将乙烯基转化为 1-苄基-1H-1,2,3-三唑-4-基的衍生物;以及乙烯基的氢化、脱氢和溴化衍生物。在所有情况下,ANN 方法都能成功地将金鸡纳从金鸡纳啶衍生物中区分出来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Differentiation of Cinchonine and Cinchonidine Derivatives Through 13C NMR Analysis of the Quinuclidine Ring

Differentiation of Cinchonine and Cinchonidine Derivatives Through 13C NMR Analysis of the Quinuclidine Ring

Differentiation of Cinchonine and Cinchonidine Derivatives Through 13C NMR Analysis of the Quinuclidine Ring

With a view to developing a procedure for the differentiation of cinchonine derivatives from cinchonidine derivatives by NMR analysis, experimental data on cinchonine and cinchonidine, after their dissolution in different solvents (CDCl3, CD3OD and DMSO-d6), were compared with theoretical data, originating from different methodologies: DP4, DP4+ , J-DP4 and ANN. Taking into account the lower computational consumption, as well as the greater efficiency in differentiation, the method selected was the trained artificial neural networks (ANN), which considered only the 13C data from the quinuclidine ring. The method successfully differentiated derivatives originating from OH group protection in ester and ether forms; replacement of the OH group by F and NH2; insertions of N3, 1H-1,2,3-triazol-1-yl and CH3O groups, linked to the quinoline ring; conversion of the vinyl group to the 1-benzyl-1H-1,2,3-triazol-4-yl; and of hydrogenation, dehydrogenation, and bromination of the vinyl group. In all cases the application of the ANN method succeeded in differentiation of cinchonine from cinchonidine derivatives.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Applied Magnetic Resonance
Applied Magnetic Resonance 物理-光谱学
CiteScore
1.90
自引率
10.00%
发文量
59
审稿时长
2.3 months
期刊介绍: Applied Magnetic Resonance provides an international forum for the application of magnetic resonance in physics, chemistry, biology, medicine, geochemistry, ecology, engineering, and related fields. The contents include articles with a strong emphasis on new applications, and on new experimental methods. Additional features include book reviews and Letters to the Editor.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信