Comparative assessment of DNA-based approaches for the quantification of food allergens.

Food Chem

Technische Universität München, Lehrstuhl für Allgemeine Lebensmitteltechnologie, Maximus-von-Imhof-Forum 2, D-85350 Freising-Weihenstephan, Germany. Electronic address:

Published: October 2014

AI Article Synopsis

  • Governments worldwide are enhancing food allergen labeling regulations and discussing allergen thresholds, necessitating robust quantitative surveillance methods.
  • DNA-based techniques have been developed, incorporating calibration, internal standards, and standard addition methods to measure allergens effectively.
  • Among various methods tested, the modified standard addition proved to be the most effective for quantifying sesame in muffin dough and muffins, following evaluations of recovery, repeatability, and detection limits.

Article Abstract

Governments all over the world have implemented regulatory frameworks concerning food allergen labelling and established or discussed the implementation of thresholds. Therefore, quantitative methods are needed for their surveillance. DNA-based approaches using a matrix-adapted calibration, an internal standard material and a modified standard addition have been developed. In order to enable a comparative assessment of the available quantification methods, experimental framework conditions and uniform performance criteria were defined. For the evaluation of the experimental results using homogenous sample material, the recovery, repeatability and reproducibility were considered along with the limit of detection and the limit of quantification. In addition, muffin dough and muffins spiked with sesame were analysed to assess the suitability of the methods to quantify sesame in model foods. The modified standard addition emerged from the comparative assessment and the analysis of the model foods to be the most appropriate method to quantify traces of allergens in food.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.foodchem.2014.03.077DOI Listing

Publication Analysis

Top Keywords

comparative assessment
12
dna-based approaches
8
modified standard
8
standard addition
8
model foods
8
assessment dna-based
4
approaches quantification
4
quantification food
4
food allergens
4
allergens governments
4

Similar Publications

Job-exposure matrix (JEM) validity on crystalline silica among systemic sclerosis patients.

Occup Med (Lond)

January 2025

Maine et Loire, Univ Angers, CHU Angers, Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, IRSET-ESTER, SFR ICAT, CAPTV CDC, 49000 Angers, France.

Background: Systemic sclerosis (SSc) is the connective tissue disease with the highest individual mortality. Crystalline silica is known to be an occupational risk factor for SSc. To assess past crystalline silica exposure, we aimed to study the validity of a job exposure matrix (JEM) to assess occupational exposure to crystalline silica compared to specific occupational interviews in two populations of SSc patients.

View Article and Find Full Text PDF

Background: The purpose of this study was to evaluate the performance and evolution of Chat Generative Pre-Trained Transformer (ChatGPT; OpenAI) as a resource for shoulder and elbow surgery information by assessing its accuracy on the American Academy of Orthopaedic Surgeons shoulder-elbow self-assessment questions. We hypothesized that both ChatGPT models would demonstrate proficiency and that there would be significant improvement with progressive iterations.

Materials And Methods: A total of 200 questions were selected from the 2019 and 2021 American Academy of Orthopaedic Surgeons shoulder-elbow self-assessment questions.

View Article and Find Full Text PDF

Background: The online nature of decision aids (DAs) and related e-tools supporting women's decision-making regarding breast cancer screening (BCS) through mammography may facilitate broader access, making them a valuable addition to BCS programs.

Objective: This systematic review and meta-analysis aims to evaluate the scientific evidence on the impacts of these e-tools and to provide a comprehensive assessment of the factors associated with their increased utility and efficacy.

Methods: We followed the 2020 PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines and conducted a search of MEDLINE, PsycINFO, Embase, CINAHL, and Web of Science databases from August 2010 to April 2023.

View Article and Find Full Text PDF

Background: Lifestyle interventions have been acknowledged as effective strategies for preventing type 2 diabetes mellitus (T2DM). However, the accessibility of conventional face-to-face interventions is often limited. Digital health intervention has been suggested as a potential solution to overcome the limitation.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!