Literature DB >> 21400588

HSQC-ADEQUATE correlation: a new paradigm for establishing a molecular skeleton.

Gary E Martin1, Bruce D Hilton, Kirill A Blinov.   

Abstract

Various experimental methods have been developed to unequivocally identify vicinal neighbor carbon atoms. Variants of the HMBC experiment intended for this purpose have included 2J3J-HMBC and H2BC. The 1,1-ADEQUATE experiment, in contrast, was developed to accomplish the same goal but relies on the (1) J(CC) coupling between a proton-carbon resonant pair and the adjacent neighbor carbon. Hence, 1,1-ADEQUATE can identify non-protonated adjacent neighbor carbons, whereas the 2J3J-HMBC and H2BC experiments require both neighbor carbons to be protonated to operate. Since 1,1-ADEQUATE data are normally interpreted with close reference to an HSQC spectrum of the molecule in question, we were interested in exploring the unsymmetrical indirect covariance processing of multiplicity-edited GHSQC and 1,1-ADEQUATE spectra to afford an HSQC-ADEQUATE correlation spectrum that facilitates the extraction of carbon-carbon connectivity information. The HSQC-ADEQUATE spectrum of strychnine is shown and the means by which the carbon skeleton can be conveniently traced is discussed.
Copyright © 2011 John Wiley & Sons, Ltd.

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Year:  2011        PMID: 21400588     DOI: 10.1002/mrc.2743

Source DB:  PubMed          Journal:  Magn Reson Chem        ISSN: 0749-1581            Impact factor:   2.447


  3 in total

1.  The use of 1H-31P GHMBC and covariance NMR to unambiguously determine phosphate ester linkages in complex polysaccharide mixtures.

Authors:  Edward R Zartler; Gary E Martin
Journal:  J Biomol NMR       Date:  2011-09-16       Impact factor: 2.835

2.  Application of high-field NMR spectroscopy for characterization and quantitation of submilligram quantities of isolated natural products.

Authors:  Aleksej Krunić; Jimmy Orjala
Journal:  Magn Reson Chem       Date:  2015-08-20       Impact factor: 2.447

Review 3.  The value of universally available raw NMR data for transparency, reproducibility, and integrity in natural product research.

Authors:  James B McAlpine; Shao-Nong Chen; Andrei Kutateladze; John B MacMillan; Giovanni Appendino; Andersson Barison; Mehdi A Beniddir; Maique W Biavatti; Stefan Bluml; Asmaa Boufridi; Mark S Butler; Robert J Capon; Young H Choi; David Coppage; Phillip Crews; Michael T Crimmins; Marie Csete; Pradeep Dewapriya; Joseph M Egan; Mary J Garson; Grégory Genta-Jouve; William H Gerwick; Harald Gross; Mary Kay Harper; Precilia Hermanto; James M Hook; Luke Hunter; Damien Jeannerat; Nai-Yun Ji; Tyler A Johnson; David G I Kingston; Hiroyuki Koshino; Hsiau-Wei Lee; Guy Lewin; Jie Li; Roger G Linington; Miaomiao Liu; Kerry L McPhail; Tadeusz F Molinski; Bradley S Moore; Joo-Won Nam; Ram P Neupane; Matthias Niemitz; Jean-Marc Nuzillard; Nicholas H Oberlies; Fernanda M M Ocampos; Guohui Pan; Ronald J Quinn; D Sai Reddy; Jean-Hugues Renault; José Rivera-Chávez; Wolfgang Robien; Carla M Saunders; Thomas J Schmidt; Christoph Seger; Ben Shen; Christoph Steinbeck; Hermann Stuppner; Sonja Sturm; Orazio Taglialatela-Scafati; Dean J Tantillo; Robert Verpoorte; Bin-Gui Wang; Craig M Williams; Philip G Williams; Julien Wist; Jian-Min Yue; Chen Zhang; Zhengren Xu; Charlotte Simmler; David C Lankin; Jonathan Bisson; Guido F Pauli
Journal:  Nat Prod Rep       Date:  2018-07-13       Impact factor: 13.423

  3 in total

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