Literature DB >> 24203357

Evaluating electron ionization mass spectral library search results.

O D Sparkman1.   

Abstract

As the size of various collections of electron ionization mass spectra gets larger, there is a continuing and increasing propensity to rely on the results of computerized library searches. The results of these computerized searches do not necessarily account for a spectrum that is produced by the mixture of two or more different compounds. Sometimes the submitted spectrum is not that of a compound whose spectrum is in the library. The quality of the spectrum submitted to the library is often such that the numerical confidence level reported for the search result is so low that it will cause the result to be disregarded. When the sample spectrum is matched against library spectra that have been condensed, the search result can be misleading. Three different examples of mass spectral search results are examined: one, with a high confidence level that the unknown has been identified, but the results are incorrect; one, where the spectrum of the unknown compound is not in the library; one, where consideration of the numerical search results would cause a positive identity not to be confirmed.

Entities:  

Year:  1996        PMID: 24203357     DOI: 10.1016/1044-0305(95)00705-9

Source DB:  PubMed          Journal:  J Am Soc Mass Spectrom        ISSN: 1044-0305            Impact factor:   3.109


  4 in total

1.  Comparative evaluations of mass spectral databases.

Authors:  S E Stein; P Ausloos; S G Lias
Journal:  J Am Soc Mass Spectrom       Date:  1991-09       Impact factor: 3.109

2.  Comparative evaluations of mass spectral data bases.

Authors:  F W McLafferty; D B Stauffer; S Y Loh
Journal:  J Am Soc Mass Spectrom       Date:  1991-09       Impact factor: 3.109

3.  Chemical substructure identification by mass spectral library searching.

Authors:  S E Stein
Journal:  J Am Soc Mass Spectrom       Date:  1995-08       Impact factor: 3.109

4.  Estimating probabilities of correct identification from results of mass spectral library searches.

Authors:  S E Stein
Journal:  J Am Soc Mass Spectrom       Date:  1994-04       Impact factor: 3.109

  4 in total
  4 in total

1.  Comparison of algorithms and databases for matching unknown mass spectra.

Authors:  F W McLafferty; M Y Zhang; D B Stauffer; S Y Loh
Journal:  J Am Soc Mass Spectrom       Date:  1998-01       Impact factor: 3.109

2.  Combining Fragment-Ion and Neutral-Loss Matching during Mass Spectral Library Searching: A New General Purpose Algorithm Applicable to Illicit Drug Identification.

Authors:  Arun S Moorthy; William E Wallace; Anthony J Kearsley; Dmitrii V Tchekhovskoi; Stephen E Stein
Journal:  Anal Chem       Date:  2017-12-01       Impact factor: 6.986

3.  Advances in structure elucidation of small molecules using mass spectrometry.

Authors:  Tobias Kind; Oliver Fiehn
Journal:  Bioanal Rev       Date:  2010-08-21

4.  Computational mass spectrometry for small molecules.

Authors:  Kerstin Scheubert; Franziska Hufsky; Sebastian Böcker
Journal:  J Cheminform       Date:  2013-03-01       Impact factor: 5.514

  4 in total

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