November 11, 2009
by Arvin Moser, Team Manager, Application Scientists, ACD/Labs
Datasets for large unknown compounds tend to be complicated and typically require a lot of effort in distinguishing one signal from another. Having some background information about the unknown, such as a metabolite, a precursor, a derivative, etc. can be invaluable with the detail work needed to get through an elucidation.
The 13C NMR spectrum below is for an unknown compound with 38 carbons. Several carbons in the spectrum are overlapping with each other, thus, making the interpretation difficult.
To facilitate the process of elucidating the unknown, the 13C NMR spectrum for the unknown (drawn in black) is compared to the 13C NMR spectrum for a pure sample of cholesterol (drawn in red). The signals that line up are part of the same cholesterol scaffold; in all ~25 signals match up. The remaining 13 signals belong to the unknown part that requires further work.
The structures for the unknown and cholesterol are shown below.
