Literature DB >> 20181349

Novel aspects of quantitation of immunogenic wheat gluten peptides by liquid chromatography-mass spectrometry/mass spectrometry.

Jennifer A Sealey-Voyksner1, Chaitan Khosla, Robert D Voyksner, James W Jorgenson.   

Abstract

A novel, specific and sensitive non-immunological liquid chromatography-mass spectrometry (LC-MS) based assay has been developed to detect and quantify trace levels of wheat gluten in food and consumer products. Detection and quantification of dietary gluten is important, because gluten is a principle trigger of a variety of immune diseases including food allergies and intolerances. One such disease, celiac sprue, can cause intestinal inflammation and enteropathy in patients who are exposed to dietary gluten. At present, immunochemistry is the leading analytical method for gluten detection in food. Consequently, enzyme-linked immunosorbent assays (ELISAs), such as the sandwich or competitive type assays, are the only commercially available methods to ensure that food and consumer products are accurately labeled as gluten-free. The availability of a comprehensive, fast and economic alternative to the immunological ELISA may also facilitate research towards the development of new drugs, therapies and food processing technologies to aid patients with gluten intolerances and for gluten-free labeling and certification purposes. LC-MS is an effective and efficient analytical technique for the study of cereal grain proteins and to quantify trace levels of targeted dietary gluten peptides in complex matrices. Initial efforts in this area afforded the unambiguous identification and structural characterization of six unique physiologically relevant wheat gluten peptides. This paper describes the development and optimization of an LC-MS/MS method that attempts to provide the best possible accuracy and sensitivity for the quantitative detection of trace levels of these six peptides in various food and consumer products. The overall performance of this method was evaluated using native cereal grains. Experimental results demonstrated that this method is capable of detecting and quantifying select target peptides in food over a range from 10pg/mg to 100ng/mg (corresponding to approximately 0.01-100ppm). Limits of detection (LOD) and quantification (LOQ) for the six target peptides were determined to range from 1 to 30pg/mg and 10-100pg/mg respectively. Reproducibility of the assay was demonstrated by evaluation of calibration data as well as data collected from the analysis of quality control standards over a period of four consecutive days. The average coefficient of determination (R(2)) for each peptide was consistently found to be >0.995 with residuals ranging from approximately 80% to 110%. Spike recovery data for each peptide in various matrices was evaluated at a concentration level near the approximate LOQ for each, as well as at higher concentration levels (30 and 60ng/mg). The average range of accuracy of detection for all peptides at the lower concentration level was determined to be 90% (+/-11), while accuracy at the 30 and 60ng/mg levels was 98% (+/-5%) and 98% (+/-3%), respectively. The usefulness and capabilities of this method are presented in a practical application to prospectively screen a variety of common commercially available (native and processed) gluten-containing and gluten-free foods and products. Copyright (c) 2010 Elsevier B.V. All rights reserved.

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Year:  2010        PMID: 20181349     DOI: 10.1016/j.chroma.2010.01.067

Source DB:  PubMed          Journal:  J Chromatogr A        ISSN: 0021-9673            Impact factor:   4.759


  9 in total

1.  Generation of food-grade recombinant Lactobacillus casei delivering Myxococcus xanthus prolyl endopeptidase.

Authors:  Patricia Alvarez-Sieiro; Maria Cruz Martin; Begoña Redruello; Beatriz Del Rio; Victor Ladero; Brad A Palanski; Chaitan Khosla; Maria Fernandez; Miguel A Alvarez
Journal:  Appl Microbiol Biotechnol       Date:  2014-04-22       Impact factor: 4.813

2.  Targeted liquid chromatography tandem mass spectrometry to quantitate wheat gluten using well-defined reference proteins.

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

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.  Acoustic Multi-Detection of Gliadin Using QCM Crystals Patterned with Controlled Sectors of TEM Grid and Annealed Nanoislands on Gold Electrode.

Authors:  Giuliocesare Casari Bariani; Lan Zhou; Simone Poggesi; Rakesh Mittapalli; Marisa Manzano; Rodica Elena Ionescu
Journal:  Nanomaterials (Basel)       Date:  2020-04-20       Impact factor: 5.076

Review 5.  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

6.  A Case Study of the Response of Immunogenic Gluten Peptides to Sourdough Proteolysis.

Authors:  Olivia J Ogilvie; Juliet A Gerrard; Sarah Roberts; Kevin H Sutton; Nigel Larsen; Laura J Domigan
Journal:  Nutrients       Date:  2021-06-01       Impact factor: 5.717

7.  Quantification of Hordeins by ELISA: the correct standard makes a magnitude of difference.

Authors:  Gregory J Tanner; Malcolm J Blundell; Michelle L Colgrave; Crispin A Howitt
Journal:  PLoS One       Date:  2013-02-28       Impact factor: 3.240

8.  ProPepper: a curated database for identification and analysis of peptide and immune-responsive epitope composition of cereal grain protein families.

Authors:  Angéla Juhász; Réka Haraszi; Csaba Maulis
Journal:  Database (Oxford)       Date:  2015-10-08       Impact factor: 3.451

Review 9.  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 in total

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