1988
DOI: 10.1021/ac00169a010
|View full text |Cite
|
Sign up to set email alerts
|

Application of visual spectral matching techniques to automated carbon-13 nuclear magnetic resonance library searching

Abstract: Library searching procedures for 13C nuclear magnetic resonance spectra are described based on the Implementation of visual spectral matching techniques. A mapping algorithm Is used to match spectral lines despite differences In chemical shifts due to solvent effects and experimental artifacts. In addition, reverse search capabilities are developed to aid the Investigator In analyzing mixture spectra, as well as complex spectra not contained In the library. A discussion of the unique, Interpretive features of … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

1989
1989
1995
1995

Publication Types

Select...
4

Relationship

1
3

Authors

Journals

citations
Cited by 4 publications
(1 citation statement)
references
References 25 publications
0
1
0
Order By: Relevance
“…In effect, a library search was performed in which the simulated spectra were treated as "unknowns", and the experimentally observed spectra comprised the "library". Spectral comparisons were performed by use of the 13C NMR library search algorithm described by Carpenter and Small (40). In this test, the best possible results would be obtained if the nearest match to each simulated spectrum were the corresponding observed spectrum.…”
Section: Resultsmentioning
confidence: 99%
“…In effect, a library search was performed in which the simulated spectra were treated as "unknowns", and the experimentally observed spectra comprised the "library". Spectral comparisons were performed by use of the 13C NMR library search algorithm described by Carpenter and Small (40). In this test, the best possible results would be obtained if the nearest match to each simulated spectrum were the corresponding observed spectrum.…”
Section: Resultsmentioning
confidence: 99%