Identification of meat products by shotgun spectral matching

Ohana, Dana; Dalebout, Hans; Marissen, Rob; Wulff, Tune; Bergquist, Jonas; Deelder, André M.; Palmblad, Magnus

doi:10.1016/j.foodchem.2016.01.138

Cited by 32 publications

(20 citation statements)

References 21 publications

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“…From a practical point of view also “taxonomy restrictions” or restrictions on the compound space can be made during MS/MS search. Although taxonomy restrictions or molecular phylogenetics have been a long‐standing feature in peptide search engines, small database sizes hindered acceptance in traditional analytical MS/MS searches for small molecule research. Moreover, metabolites cannot be captured on a single platform, as they include volatiles, polar, nonpolar and lipid compounds.…”

Section: Ms/ms Search Algorithms and Scoringmentioning

confidence: 99%

Identification of small molecules using accurate mass MS/MS search

Kind

Tsugawa

Čajka

et al. 2017

Mass Spectrometry Reviews

371

325

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Tandem mass spectral library search (MS/MS) is the fastest way to correctly annotate MS/MS spectra from screening small molecules in fields such as environmental analysis, drug screening, lipid analysis, and metabolomics. The confidence in MS/MS-based annotation of chemical structures is impacted by instrumental settings and requirements, data acquisition modes including data-dependent and data-independent methods, library scoring algorithms, as well as post-curation steps. We critically discuss parameters that influence search results, such as mass accuracy, precursor ion isolation width, intensity thresholds, centroiding algorithms, and acquisition speed. A range of publicly and commercially available MS/MS databases such as NIST, MassBank, MoNA, LipidBlast, Wiley MSforID, and METLIN are surveyed. In addition, software tools including NIST MS Search, MS-DIAL, Mass Frontier, SmileMS, Mass++, and XCMS to perform fast MS/MS search are discussed. MS/MS scoring algorithms and challenges during compound annotation are reviewed. Advanced methods such as the in silico generation of tandem mass spectra using quantum chemistry and machine learning methods are covered. Community efforts for curation and sharing of tandem mass spectra that will allow for faster distribution of scientific discoveries are discussed.

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Section: Ms/ms Search Algorithms and Scoringmentioning

confidence: 99%

Identification of small molecules using accurate mass MS/MS search

Kind

Tsugawa

Čajka

et al. 2017

Mass Spectrometry Reviews

371

325

View full text Add to dashboard Cite

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“…3, making use of the bulk of high quality tandem mass spectra rather than choosing a selected few, as done in the peptide mass fingerprinting approach described earlier, also the tissue origin of the PAP samples investigated was differentiated successfully. This clearly shows that similarly to the differentiation of raw or processed fish [20,35] and meat [36] samples, respectively a method based on the direct comparison of mass spectra also correctly classifies heavily processed PAP. What is more, data analysis is done in one single search.…”

Section: Species and Tissue Specific Pap Identification By Direct Spementioning

confidence: 86%

“…Recently methods based on the direct use of spectral libraries have been suggested [33,34] for unbiased species [20,35,36] and tissue specific [37] classification even of processed samples. To assess if such Fig.…”

Section: Species and Tissue Specific Pap Identification By Direct Spementioning

confidence: 99%

“…As spectral library based methods also are completely independent of any genomic or protein sequence database [20], they are equally applicable to all PAP organisms and tissues allowing for the creation of extensive PAP reference libraries including less well annotated species. To these libraries unknown PAP mixtures in fish feed can be matched to for identification and even quantification, as recently described in Ohana et al [36]. In analogy to the peptide database created by peptide mass fingerprinting, the spectral libraries generated also can be mined to extract suitable signature peptides for the generation of SRM assays for the absolute quantification of illegal PAP of ruminant origin in aquafeed mixtures and identify the source (e.g.…”

Section: Species and Tissue Specific Pap Identification By Direct Spementioning

confidence: 99%

“…This commonly involves gel-based or gel-free separation of proteins followed by mass spectrometric identification of proteins and peptides of interest through peptide mass fingerprinting [20]. Complementary to this, recently methods based on the direct use of spectral libraries have been suggested [33,34] that allow for unbiased species [20,35,36] and tissue specific [37] classification even of processed samples.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Species and tissues specific differentiation of processed animal proteins in aquafeeds using proteomics tools

Rasinger¹,

Marbaix

Dieu

et al. 2016

Journal of Proteomics

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Liquid Chromatography–mass Spectrometry Bottom‐up Proteomic Methods in Animal Species Analysis of Processed Meat for Food Authentication and the Detection of Adulterations

Stachniuk

Sumara

Montowska

et al. 2019

Mass Spectrometry Reviews

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This review offers an overview of the current status and the most recent advances in liquid chromatography–mass spectrometry (LC‐MS) techniques with both high‐resolution and low‐resolution tandem mass analyzers applied to the identification and detection of heat‐stable species‐speciﬁc peptide markers of meat in highly processed food products. We present sets of myofibrillar and sarcoplasmic proteins, which turned out to be the source of 105 heat‐stable peptides, detectable in processed meat using LC‐MS/MS. A list of heat‐stable species‐specific peptides was compiled for eleven types of white and red meat including chicken, duck, goose, turkey, pork, beef, lamb, rabbit, buffalo, deer, and horse meat, which can be used as markers for meat authentication. Among the 105 peptides, 57 were verified by multiple reaction monitoring, enabling identification of each species with high specificity and selectivity. The most described and monitored species by LC‐MS/MS so far are chicken and pork with 26 confirmed heat‐stable peptide markers for each meat. In thermally processed samples, myosin, myoglobin, hemoglobin, l‐lactase dehydrogenase A and β‐enolase are the main protein sources of heat‐stable markers. © 2019 John Wiley & Sons Ltd. Mass Spec Rev

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Identification of meat products by shotgun spectral matching

Cited by 32 publications

References 21 publications

Identification of small molecules using accurate mass MS/MS search

Identification of small molecules using accurate mass MS/MS search

Species and tissues specific differentiation of processed animal proteins in aquafeeds using proteomics tools

Liquid Chromatography–mass Spectrometry Bottom‐up Proteomic Methods in Animal Species Analysis of Processed Meat for Food Authentication and the Detection of Adulterations

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