2013
DOI: 10.1186/1758-2946-5-12
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Computational mass spectrometry for small molecules

Abstract: The identification of small molecules from mass spectrometry (MS) data remains a major challenge in the interpretation of MS data. This review covers the computational aspects of identifying small molecules, from the identification of a compound searching a reference spectral library, to the structural elucidation of unknowns. In detail, we describe the basic principles and pitfalls of searching mass spectral reference libraries. Determining the molecular formula of the compound can serve as a basis for subseq… Show more

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Cited by 134 publications
(119 citation statements)
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“…The reasons for this are varied, including the lack of reproducibility between SI instruments and various settings and the relative newness of the technique, and are discussed in greater detail elsewhere (e.g. [13][14][15]). As a consequence, the identification of "unknown" environmental substances of interest measured with GC-EI-MS can often be performed with a spectral library, while substances measured with alternative ionization techniques generally require the parallel approaches of target, suspect and non-target screening.…”
Section: Introductionmentioning
confidence: 99%
“…The reasons for this are varied, including the lack of reproducibility between SI instruments and various settings and the relative newness of the technique, and are discussed in greater detail elsewhere (e.g. [13][14][15]). As a consequence, the identification of "unknown" environmental substances of interest measured with GC-EI-MS can often be performed with a spectral library, while substances measured with alternative ionization techniques generally require the parallel approaches of target, suspect and non-target screening.…”
Section: Introductionmentioning
confidence: 99%
“…For example, the number of predicted compounds from a database search can be reduced by excluding compounds with predicted MS/MS spectra that do not match the observed [94]. Advancements in predictive fragmentation are being developed [95][96][97][98][99][100][101] and have been reviewed previously [76]. Examples of MS/MS fragmentation prediction tools include, but are not limited to, ACD/MS Fragmenter [102], MolFind [94], MetFrag [101], MIDAS (Metabolite Identification via Database Searching) [103] and SmartMass [91].…”
Section: Tandem Mass Spectrometrymentioning
confidence: 98%
“…Technical aspects of computational approaches to identification of small molecules has been reviewed previously [76]. The majority of MS data analysis software provided by instrument vendors includes functionality to generate a molecular formula for a particular m/z value and its theoretical isotopic pattern, which can be used as a reference.…”
Section: Identificationmentioning
confidence: 99%
“…The term "structure elucidation" usually refers to full de novo structure identification of a compound, including stereochemical assignments [5]. Thus, a combination of chromatographic techniques with multidimensional, namely tandem MS offers an adequate solution for bioproduct screening and compound identification.…”
Section: Introductionmentioning
confidence: 99%