Effect of food matrix and thermal processing on the performance of a normalised quantitative real-time PCR approach for lupine (Lupinus albus) detection as a potential allergenic food

• Type: Article in International Scientific Journal
• Date: 2018

Authors

Villa, C (Author) Other; Joana Costa (Author) FFUP; Gondar, C (Author) Other; Beatriz B P P Oliveira (Author) FFUP; Mafra, I (Author) Other

Journal

Title: Food Chemistry

Vol. 262

Pages: 251-259

ISSN: 0308-8146

Publisher: Elsevier

Indexing

ISI Web of Knowledge - 4 Citations

Scopus - 14 Citations

Other information

Authenticus ID: P-00Q-VNY

DOI: 10.1016/j.foodchem.2018.04.079

Abstract (EN): Lupine is widely used as an ingredient in diverse food products, but it is also a source of allergens. This work aimed at proposing a method to detect/quantify lupine as an allergen in processed foods based on a normalised real-time PCR assay targeting the Lup a 4 allergen-encoding gene of Lupinus albus. Sensitivities down to 0.0005%, 0.01% and 0.05% (w/w) of lupine in rice flour, wheat flour and bread, respectively, and 1 pg of L. albus DNA were obtained, with adequate real-time PCR performance parameters using the Delta Ct method. Both food matrix and processing affected negatively the quantitative performance of the assay. The method was successfully validated with blind samples and applied to processed foods. Lupine was estimated between 4.12 and 22.9% in foods, with some results suggesting the common practice of precautionary labelling. In this work, useful and effective tools were proposed for the detection/quantification of lupine in food products.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 9