Brian L. Lee, Manoj Rout, Ying Dong, Matthias Lipfert, Mark Berjanskii, Fatemeh Shahin, Dipanjan Bhattacharyya, Alyaa Selim, Rupasri Mandal, David S. Wishart
{"title":"Automatic Chemical Profiling of Wine by Proton Nuclear Magnetic Resonance Spectroscopy","authors":"Brian L. Lee, Manoj Rout, Ying Dong, Matthias Lipfert, Mark Berjanskii, Fatemeh Shahin, Dipanjan Bhattacharyya, Alyaa Selim, Rupasri Mandal, David S. Wishart","doi":"10.1021/acsfoodscitech.4c00298","DOIUrl":null,"url":null,"abstract":"We report the development of MagMet-W (magnetic resonance for metabolomics of wine), a software program that can automatically determine the chemical composition of wine via <sup>1</sup>H nuclear magnetic resonance (NMR) spectroscopy. MagMet-W is an extension of MagMet developed for the automated metabolomic analysis of human serum by <sup>1</sup>H NMR. We identified 70 compounds suitable for inclusion into MagMet-W. We then obtained 1D <sup>1</sup>H NMR reference spectra of the pure compounds at 700 MHz and incorporated these spectra into the MagMet-W compound library. The processing of the wine NMR spectra and profiling of the 70 wine compounds were then optimized based on manual <sup>1</sup>H NMR analysis. MagMet-W can automatically identify 70 wine compounds in most wine samples and can quantify them to 10–15% of the manually determined concentrations, and it can analyze multiple spectra simultaneously, at 10 min per spectrum. The MagMet-W Web server is available at https://www.magmet.ca.","PeriodicalId":72048,"journal":{"name":"ACS food science & technology","volume":"27 1","pages":""},"PeriodicalIF":2.6000,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS food science & technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1021/acsfoodscitech.4c00298","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"FOOD SCIENCE & TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
We report the development of MagMet-W (magnetic resonance for metabolomics of wine), a software program that can automatically determine the chemical composition of wine via 1H nuclear magnetic resonance (NMR) spectroscopy. MagMet-W is an extension of MagMet developed for the automated metabolomic analysis of human serum by 1H NMR. We identified 70 compounds suitable for inclusion into MagMet-W. We then obtained 1D 1H NMR reference spectra of the pure compounds at 700 MHz and incorporated these spectra into the MagMet-W compound library. The processing of the wine NMR spectra and profiling of the 70 wine compounds were then optimized based on manual 1H NMR analysis. MagMet-W can automatically identify 70 wine compounds in most wine samples and can quantify them to 10–15% of the manually determined concentrations, and it can analyze multiple spectra simultaneously, at 10 min per spectrum. The MagMet-W Web server is available at https://www.magmet.ca.