Traditional approaches need a lot of time and effort to reveal the structures of unknown compounds in complicated metabolomics mixtures. By reducing sample separation and using an integrated platform that makes use of the high complementarity of high-resolution NMR and MS studies in conjunction with cheminformatics, the SUMMIT MS/NMR technique significantly accelerates this work. The tailored chemical synthesis stage may be the only part of SUMMIT that cannot be automated. Beyond metabolomics, the universal character of SUMMIT MS/NMR should make it useful to the investigation of complicated molecular mixtures. Data sets of spectroscopic data provide details on the spectra, structures, and chemical or physical characteristics of molecules. Most often, new data is entered in a uniform manner. Effective search tools or expert systems are used to link databases.
Title : Application of vanadium and tantalum single-site zeolite catalysts in heterogeneous catalysis
Stanislaw Dzwigaj, Sorbonne University, France
Title : Indicators for evaluating green management practice of enterprises
Dai Yeun Jeong, Asia Climate Change Education Center , Korea, Republic of
Title : DOZN™3.0 - A quantitative green chemistry evaluator for a sustainable future
Samy Ponnusamy, MilliporeSigma, United States
Title : Towards integrated biodesign-inspired translational platforms to co-develop innovative biotechnologies, biomanufacturing and biomarketing to revolutionize the future of personalized & precision healthcare and life science bioindustry
Sergey Victorovich Suchkov, N.D. Zelinskii Institute for Organic Chemistry of the Russian Academy of Sciences, Russian Federation
Title : Nanocomposite materials for structured catalysts of fuels reforming, catalytic layers in membrane reactors for oxygen and hydrogen separation and fuel cell anodes operating in the internal reforming mode
Vladislav Sadykov, Boreskov Institute of Catalysis, Russia, Russian Federation
Title : Green nanobiocatalysts for sustainable ester production: Advancing lipase immobilization and process optimization
Praveen Dahiya, Amity University Uttar Pradesh, India