Repository logo
 
No Thumbnail Available
Publication

Hidden allergens in food

Use this identifier to reference this record.
Name:Description:Size:Format: 
39. REquimte 2011_Abstract_Book__final.pdf102.83 KBAdobe PDF Download

Advisor(s)

Abstract(s)

Food allergies are considered a signif icant food-safety issue, whose preval ence has been increasing mainly in industrialized countries. The presence of non-declared allergens in food due to contamination during production or to misleading labeling represents a potential high risk for allergic individuals. To protect sensitized individuals, highly sensitive methods are required, especially for processed food s. To answer this need, we have developed specific DNA- based methods to detect soybean additi on to meat products. The optimized speci es-specific PCR technique targeting the soybean lectin gene allowed the detection of 0.1% and 0.5% of soybean textured protein in raw and heat processed meat, corresponding to levels of protein detection of 0.01% and 0.06%, respectively. We have also proposed a novel approach by means of real-time quantitative PCR with fluorescent TaqMan probes for the detection of soybean in processed meat products in the range of 0.1% to 50%. The established PCR assays were successfully applied in the detection and quantification of soybean in processed meat products such as Frankfurters, hamburgers, poultry nuggets, containing pork or poultry as the main meat ingredient. For the detection of tree nut allergens, new PCR assays were proposed for almond and walnut were based on the design of new primers targeting DNA coding for major allergens, on the use of real-time PCR with TaqMan probes and EvaGreen dye. The results allowed the detection of as low as 0.005% of almond and 0.05% of walnut residues in model foods and the effective application of th e assays to processed foods.

Description

Keywords

Citation

Oliveira, B.; Mafra, I.; Costa, J.; Amaral, J.S.; Soares, S. (2011). Hidden allergens in food. In REQUIMTE 2011. Fátima, Portugal

Research Projects

Organizational Units

Journal Issue