By using conventional approaches, it takes a lot of time and effort to determine the structure of unidentified compounds in complicated metabolomics mixtures. By reducing sample separation and utilising an integrated platform that exploits the high complementarity of high-resolution NMR and MS investigations in conjunction with cheminformatics, the SUMMIT MS/NMR technique significantly accelerates this work. With the possible exception of the specialised chemical synthesis step, SUMMIT can be automated to a great extent. Beyond metabolomics, SUMMIT MS/NMR could be useful for the investigation of complex molecular mixtures due to its universal character. Information on the chemical or physical characteristics of substances, spectra, and structures are all included in spectroscopic data sets. New data is often entered in a consistent manner. Expert systems or effective search tools are used to link databases.
Stanislaw Dzwigaj
Sorbonne University, France
Thomas J Webster
Interstellar Therapeutics, United States
Dai Yeun Jeong
Asia Climate Change Education Center, Korea, Republic of
Vladislav Sadykov
Boreskov Institute of Catalysis, Russian Federation
Beatrice Vincenti
Sapienza University of Rome, Italy
Haibo Ge
Texas Tech University, United States
Pengju Wu
School of Energy and Power Engineering Jiangsu University, China
Yaxin Su
Donghua University, China
Isabel Oller Alberola
Plataforma Solar de Almería, Spain
Majed Alamoudi
King Abdulaziz University, Saudi ArabiaSubmit your abstract Today
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