PureShift in MNova Vadim Zorin Manchester, 17 September 2018.

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Presentation transcript:

PureShift in MNova Vadim Zorin Manchester, 17 September 2018

Pseudo-2D PureShift experiments PureShift in MNova Pseudo-2D PureShift experiments Pseudo-2D PureShift experiments require concatenation of FID chucks Standard 1D 1H PureShift Zangger-Sterk 1D 1H 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0 5.5 f1 (ppm) Most pseudo-2D PureShift experiments are recognized automatically in MNova and converted to 1D during the file import Supported in Bruker and Varian format Better standardization of PureShift parameters can make it more robust

PureShift in MNova Pseudo-2D PureShift experiments: advanced use Automatic PureShift reconstruction option in the NMR Import Preferences For advanced or not recognized MNova Script can be used which has direct ability to edit FID points FID operation including new FID synthesize and points manipulations are significantly enhanced in recent MNova versions

EXACT pseudo-2D acquisition PureShift in MNova Pseudo2D PureShift and NUS: EXACT Pseudo-2D PureShift requires long acquisition times with no sensitivity benefits due to the absence of signals averaging between scans. EXACT NMR (‘burst’ non-uniform sampling of data points) reveals little or no loss in spectral quality or signal intensity despite the acceleration of acquisition Pseudo-2D acquisition EXACT pseudo-2D acquisition Concatenation   I. E. Ndukwe, A. Shchukina, V. Zorin, C. Cobas, K. Kazimierczuk, C. P. Butts, Enabling fast Pseudo-2D NMR Acquisition for Broadband Homonuclear Decoupling – The EXACT NMR approach, ChemPhysChem 2017, 18, 2081

Pseudo2D PureShift and NUS: EXACT PureShift in MNova Pseudo2D PureShift and NUS: EXACT Cyclosporine-A, PSYCHE 100% Cyclosporine-A, EXACT PSYCHE 50% EXACT pseudo-2D acquisition acquires homo-decoupled spectra of complex molecules more rapidly, with little or no loss in signal intensity, resolution or peakshape. MNova recognizes EXACT spectra automatically by detecting PureShift pseudo-2D and presence of the NUS schedule MNova Modified IST (MIST) NUS reconstruction is used

PureShift and Covariance PureShift in MNova PureShift and Covariance Generalized Indirect Covariance (GIC) is a method of transferring resolution from one 2D spectrum to another. PureShift DIAG experiment is used to transfer its resolution to standard 2D spectra As a result, PureShift dimensions can be obtained on a variety of 2D experiments. A.Fredi, P.Nolis, C.Cobas, G.E.Martin, T.Parella, Exploring the use of Generalized Indirect Covariance to reconstruct pure shift NMR spectra: Current Pros and Cons, Journal of Magnetic Resonance, 266, 2016, 16-22, A.Fredi, P.Nolis, C.Cobas, T.Parella, Access to experimentally infeasible spectra by pure-shift NMR covariance, Journal of Magnetic Resonance, 270, 2016, 161-168

PureShift and Covariance PureShift in MNova PureShift and Covariance DIAG can be acquired experimentally (PSYCHE-TOCSY with omission of the DIPSI-2 pulse train) or constructed from 1D PureShift: Record 1D PureShift Apply Global Spectrum Deconvolution in MNova and create a list of models for all peaks. Use models to construct synthetic 2D DIAG spectrum. Script make2D is available in MNova GIS is a standard processing operation in MNova strychnine

PureShift and Covariance PureShift in MNova PureShift and Covariance The technique could be extended to multiplicity-edited (ME) variations Even experimentally prohibited NMR spectra can be reconstructed by introducing key features of a reference 1D CHn-edited spectrum into standard 2D spectra A.Fredi, P.Nolis, C.Cobas, T.Parella, Access to experimentally infeasible spectra by pure-shift NMR covariance, Journal of Magnetic Resonance, 270, 2016, 161-168

PureShift and Covariance: tested 2D experiments PureShift in MNova PureShift and Covariance: tested 2D experiments ME in 1H dimension Also TOCSY versions

Acknowledgements Universitat Autònoma de Barcelona: André Fredi, Pau Nolis, Teodor Parella University of Bristol: Ikenna Ndukwe, Craig Butts University of Warsaw: Alexandra Shchukina, Krzysztof Kazimierczuk Durham University: Juan Aguilar-Malavia Merck: Gary E. Martin Mestrelab: Carlos Cobas, Mike Bernstein, Felipe Seoane 17 September 2018