评论“PRISMA:一种强大而直观的化学光谱高通量处理工具”

IF 6.1 Q1 CHEMISTRY, MULTIDISCIPLINARY Chemistry methods : new approaches to solving problems in chemistry Pub Date : 2022-11-22 DOI:10.1002/cmtd.202200013
Prof. Robert J. Meier
{"title":"评论“PRISMA:一种强大而直观的化学光谱高通量处理工具”","authors":"Prof. Robert J. Meier","doi":"10.1002/cmtd.202200013","DOIUrl":null,"url":null,"abstract":"<p>The analysis of spectral data, and in particular the quantification of these, highly depends on curve fitting the spectra with suitable methods. The required methodologies have been known for very long. However, even today it is a regular problem that this, i.e. physically correct analyzing spectral data, is not practiced.</p>","PeriodicalId":72562,"journal":{"name":"Chemistry methods : new approaches to solving problems in chemistry","volume":null,"pages":null},"PeriodicalIF":6.1000,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://chemistry-europe.onlinelibrary.wiley.com/doi/epdf/10.1002/cmtd.202200013","citationCount":"0","resultStr":"{\"title\":\"Comment on ‘PRISMA: A robust and intuitive tool for high-throughput processing of chemical spectra’\",\"authors\":\"Prof. Robert J. Meier\",\"doi\":\"10.1002/cmtd.202200013\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>The analysis of spectral data, and in particular the quantification of these, highly depends on curve fitting the spectra with suitable methods. The required methodologies have been known for very long. However, even today it is a regular problem that this, i.e. physically correct analyzing spectral data, is not practiced.</p>\",\"PeriodicalId\":72562,\"journal\":{\"name\":\"Chemistry methods : new approaches to solving problems in chemistry\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":6.1000,\"publicationDate\":\"2022-11-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://chemistry-europe.onlinelibrary.wiley.com/doi/epdf/10.1002/cmtd.202200013\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Chemistry methods : new approaches to solving problems in chemistry\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/cmtd.202200013\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chemistry methods : new approaches to solving problems in chemistry","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/cmtd.202200013","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

摘要

光谱数据的分析,特别是光谱数据的定量化,在很大程度上取决于用合适的方法对光谱进行曲线拟合。所需要的方法早已为人所知。然而,即使在今天,这也是一个常规问题,即物理正确地分析光谱数据,没有实践。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Comment on ‘PRISMA: A robust and intuitive tool for high-throughput processing of chemical spectra’

The analysis of spectral data, and in particular the quantification of these, highly depends on curve fitting the spectra with suitable methods. The required methodologies have been known for very long. However, even today it is a regular problem that this, i.e. physically correct analyzing spectral data, is not practiced.

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
CiteScore
7.30
自引率
0.00%
发文量
0
期刊最新文献
Cover Feature: (Chem. Methods 10/2024) Cover Picture: (Chem. Methods 9/2024) Rescaling NMR for a Larger Deployment in Drug Discovery: Hyperpolarization and Benchtop NMR as Potential Game-Changers Insights into CO2 Diffusion on Zeolite 13X via Frequency Response Technique Cover Picture: (Chem. Methods 7-8/2024)
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1