{"title":"利用Matlab实现了紫外-可见光谱分辨率算法，用于pKa的测定和多组分分析。","authors":"Yotam Gonen, Giora Rytwo","doi":"10.4137/aci.s3499","DOIUrl":null,"url":null,"abstract":"<p><p>A Matlab implemented computer code for spectral resolution is presented. The code enables the user to resolve the UV-visible absorption spectrum of a mixture of up to 3 previously known components, to the individual components, thus, evaluating their quantities. The resolving procedure is based on searching the combination of the components which yields the spectrum which is the most similar (minimal RMSE) to the measured spectrum of the mixture. Examples of using the software for pK(a) value estimation and multicomponent analysis are presented and other implementations are suggested.</p>","PeriodicalId":7781,"journal":{"name":"Analytical Chemistry Insights","volume":"4 ","pages":"21-7"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4137/aci.s3499","citationCount":"3","resultStr":"{\"title\":\"Using a Matlab implemented algorithm for UV-vis spectral resolution for pKa determination and multicomponent analysis.\",\"authors\":\"Yotam Gonen, Giora Rytwo\",\"doi\":\"10.4137/aci.s3499\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>A Matlab implemented computer code for spectral resolution is presented. The code enables the user to resolve the UV-visible absorption spectrum of a mixture of up to 3 previously known components, to the individual components, thus, evaluating their quantities. The resolving procedure is based on searching the combination of the components which yields the spectrum which is the most similar (minimal RMSE) to the measured spectrum of the mixture. Examples of using the software for pK(a) value estimation and multicomponent analysis are presented and other implementations are suggested.</p>\",\"PeriodicalId\":7781,\"journal\":{\"name\":\"Analytical Chemistry Insights\",\"volume\":\"4 \",\"pages\":\"21-7\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-12-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.4137/aci.s3499\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Analytical Chemistry Insights\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4137/aci.s3499\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Analytical Chemistry Insights","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4137/aci.s3499","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Using a Matlab implemented algorithm for UV-vis spectral resolution for pKa determination and multicomponent analysis.
A Matlab implemented computer code for spectral resolution is presented. The code enables the user to resolve the UV-visible absorption spectrum of a mixture of up to 3 previously known components, to the individual components, thus, evaluating their quantities. The resolving procedure is based on searching the combination of the components which yields the spectrum which is the most similar (minimal RMSE) to the measured spectrum of the mixture. Examples of using the software for pK(a) value estimation and multicomponent analysis are presented and other implementations are suggested.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
