Real Time PCR to detect hazelnut allergen coding sequences in processed foods

Autor: Beatriz Cabanillas, Mercedes Muzquiz, Ana Jiménez, Jesus F. Crespo, Rosario Linacero, Julia Rodriguez, Nuria Joglar Prieto, Carmen Cuadrado, Elisa Iniesto, Carmen Burbano, Mercedes M. Pedrosa
Rok vydání: 2013
Předmět:
Zdroj: Repositorio de Resultados de Investigación del INIA
Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria INIA
INIA: Repositorio de Resultados de Investigación del INIA
ISSN: 0308-8146
DOI: 10.1016/j.foodchem.2012.11.036
Popis: A quantitative RT-PCR method, employing novel primer sets designed on Cor a 9, Cor a 11 and Cor a 13 allergen-coding sequences has been setup and validated. Its specificity, sensitivity and applicability have been compared. The effect of processing on detectability of these hazelnut targets in complex food matrices was also studied. The DNA extraction method based on CTAB-phenol-chloroform was the best for hazelnut. RT-PCR using primers for Cor a 9, 11 and 13 allowed a specific and accurate amplification of these sequences. The limit of detection was 1 ppm of raw hazelnut. The method sensitivity and robustness were confirmed with spiked samples. Thermal treatments (roasting and autoclaving) reduced yield and amplificability of hazelnut DNA, however, high-hydrostatic pressure did not affect. Compared with an ELISA assay, this RT-PCR showed higher sensitivity to detected hazelnut traces in commercial foodstuffs. The RT-PCR method described is the most sensitive of those reported for the detection of hazelnut traces in processed foods. © 2012 Elsevier Ltd. All rights reserved.
Databáze: OpenAIRE