Literature DB >> 24866027

Characterization of grain-specific peptide markers for the detection of gluten by mass spectrometry.

Katherine L Fiedler1, Sara C McGrath, John H Callahan, Mark M Ross.   

Abstract

Global and targeted mass spectrometry-based proteomic approaches were developed to discover, evaluate, and apply gluten peptide markers to detect low parts per million (ppm) wheat contamination of oats. Prolamins were extracted from wheat, barley, rye, and oat flours and then reduced, alkylated, and digested with chymotrypsin. The resulting peptides were subjected to LC-MS/MS analysis and database matching. No peptide markers common to wheat, barley, and rye were identified that could be used for global gluten detection. However, many grain-specific peptide markers were identified, and a set of these markers was selected for gluten detection and grain differentiation. Wheat flour was spiked into gluten-free oat flour at concentrations of 1-100,000 ppm and analyzed to determine the lowest concentration at which the wheat "contaminant" could be confidently detected in the mixture. The same 2D ion trap instrument that was used for the global proteomics approach was used for the targeted proteomics approach, providing a seamless transition from target discovery to application. A powerful, targeted MS/MS method enabled detection of two wheat peptide markers at the 10 ppm wheat flour-in-oat flour concentration. Because gluten comprises approximately 10% of wheat flour protein, the reported wheat gluten-specific peptides can enable detection of approximately 1 ppm of wheat gluten in oats.

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Year:  2014        PMID: 24866027     DOI: 10.1021/jf500997j

Source DB:  PubMed          Journal:  J Agric Food Chem        ISSN: 0021-8561            Impact factor:   5.279


  9 in total

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Authors:  Kathrin Schalk; Peter Koehler; Katharina Anne Scherf
Journal:  PLoS One       Date:  2018-02-09       Impact factor: 3.240

2.  A curated gluten protein sequence database to support development of proteomics methods for determination of gluten in gluten-free foods.

Authors:  Sophie Bromilow; Lee A Gethings; Mike Buckley; Mike Bromley; Peter R Shewry; James I Langridge; E N Clare Mills
Journal:  J Proteomics       Date:  2017-04-04       Impact factor: 4.044

3.  Quantitation of the immunodominant 33-mer peptide from α-gliadin in wheat flours by liquid chromatography tandem mass spectrometry.

Authors:  Kathrin Schalk; Christina Lang; Herbert Wieser; Peter Koehler; Katharina Anne Scherf
Journal:  Sci Rep       Date:  2017-03-22       Impact factor: 4.379

4.  Comprehensive Proteomic Profiling of Wheat Gluten Using a Combination of Data-Independent and Data-Dependent Acquisition.

Authors:  Sophie N L Bromilow; Lee A Gethings; James I Langridge; Peter R Shewry; Michael Buckley; Michael J Bromley; E N Clare Mills
Journal:  Front Plant Sci       Date:  2017-01-10       Impact factor: 5.753

Review 5.  Genomic and functional genomics analyses of gluten proteins and prospect for simultaneous improvement of end-use and health-related traits in wheat.

Authors:  Daowen Wang; Feng Li; Shuanghe Cao; Kunpu Zhang
Journal:  Theor Appl Genet       Date:  2020-02-04       Impact factor: 5.699

6.  Assessing the Utility of Multiplexed Liquid Chromatography-Mass Spectrometry for Gluten Detection in Australian Breakfast Food Products.

Authors:  Haili Li; Utpal Bose; Sally Stockwell; Crispin A Howitt; Michelle Colgrave
Journal:  Molecules       Date:  2019-10-11       Impact factor: 4.411

Review 7.  Gluten Detection Methods and Their Critical Role in Assuring Safe Diets for Celiac Patients.

Authors:  Claudia E Osorio; Jaime H Mejías; Sachin Rustgi
Journal:  Nutrients       Date:  2019-12-02       Impact factor: 5.717

Review 8.  Modern Approaches in the Identification and Quantification of Immunogenic Peptides in Cereals by LC-MS/MS.

Authors:  Thais O Alves; Carolina T S D'Almeida; Katharina A Scherf; Mariana S L Ferreira
Journal:  Front Plant Sci       Date:  2019-11-14       Impact factor: 5.753

9.  Mining the Wheat Grain Proteome.

Authors:  Delphine Vincent; AnhDuyen Bui; Doris Ram; Vilnis Ezernieks; Frank Bedon; Joe Panozzo; Pankaj Maharjan; Simone Rochfort; Hans Daetwyler; Matthew Hayden
Journal:  Int J Mol Sci       Date:  2022-01-10       Impact factor: 5.923

  9 in total

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