| Literature DB >> 24007197 |
José G Napolitano1, David C Lankin, James B McAlpine, Matthias Niemitz, Samuli-Petrus Korhonen, Shao-Nong Chen, Guido F Pauli.
Abstract
The characteristic signals observed in NMR spectra encode essential information on the structure of small molecules. However, extracting all of this information from complex signal patterns is not trivial. This report demonstrates how computer-aided spectral analysis enables the complete interpretation of 1D (1)H NMR data. The effectiveness of this approach is illustrated with a set of organic molecules, for which replicas of their (1)H NMR spectra were generated. The potential impact of this methodology on organic chemistry research is discussed.Entities:
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Year: 2013 PMID: 24007197 PMCID: PMC3812940 DOI: 10.1021/jo4011624
Source DB: PubMed Journal: J Org Chem ISSN: 0022-3263 Impact factor: 4.354