Food fraud and adulteration represent a growing global concern, threatening consumer safety and undermining their trust, with significant economic, social, political, and scientific implications. Meat products are particularly vulnerable to these phenomena, often involving the substitution or addition of undeclared animal species. In response, the political and scientific communities are called upon to ensure food authenticity and traceability by establishing appropriate regulations and developing reliable and precise analytical methods. This study delves into the design and optimization of an analytical method based on Real-Time PCR, aimed at identifying species-specific DNA in meat-based food matrices. Specifically, the research focuses on detecting bovine DNA within a matrix containing porcine DNA, evaluating essential parameters such as sensitivity, specificity, repeatability, and robustness. The results obtained, compared with the criteria reported in the literature, confirm that Real-Time PCR is an efficient and reliable tool for identifying bovine DNA within a porcine DNA matrix. This method emerges as a suitable technique for routine analysis in combating food fraud in the meat sector, supporting the transparency and quality of meat products and safeguarding consumer health. Moreover, this approach holds substantial potential for future developments and optimizations, further enhancing monitoring and control capabilities within the food sector.
Le frodi e le adulterazioni alimentari costituiscono una crescente preoccupazione globale, minacciando la sicurezza dei consumatori e minando la loro fiducia, con ampie implicazioni economiche, sociali, politiche e scientifiche. I prodotti a base di carne sono particolarmente vulnerabili a questi fenomeni, spesso coinvolti nella sostituzione o aggiunta di specie animali non dichiarate in etichetta. In risposta, le comunità politica e scientifica sono chiamate a garantire l’autenticità e la tracciabilità degli alimenti, mediante la definizione di normative adeguate e lo sviluppo di metodi di analisi affidabili e precisi. Questo studio approfondisce il processo di progettazione e messa a punto di un metodo analitico basato sulla Real-Time PCR, finalizzato all’identificazione di DNA specie-specifico nelle matrici alimentari a base di carne. In particolare, la ricerca si focalizza sull’individuazione di DNA bovino in una matrice contenente DNA suino, valutando parametri fondamentali come sensibilità, specificità, ripetibilità e robustezza. I risultati ottenuti, confrontati con i requisiti riportati in letteratura, confermano che la Real-Time PCR è uno strumento efficiente e affidabile per l’identificazione del DNA bovino in una matrice a base di DNA suino. Questo metodo si configura come una tecnica idonea per le analisi di routine nel contrasto alle frodi alimentari nel settore della carne, supportando la trasparenza e la qualità dei prodotti e tutelando la salute dei consumatori. Inoltre, il metodo offre un elevato potenziale per futuri sviluppi e ottimizzazioni, rafforzando ulteriormente le capacità di monitoraggio e controllo nel settore alimentare.
Identificazione di DNA specie-specifico in matrici a base di carne tramite Real Time PCR: studio del processo di validazione in un laboratorio accreditato.
CAVEDON, JESSICA
2023/2024
Abstract
Food fraud and adulteration represent a growing global concern, threatening consumer safety and undermining their trust, with significant economic, social, political, and scientific implications. Meat products are particularly vulnerable to these phenomena, often involving the substitution or addition of undeclared animal species. In response, the political and scientific communities are called upon to ensure food authenticity and traceability by establishing appropriate regulations and developing reliable and precise analytical methods. This study delves into the design and optimization of an analytical method based on Real-Time PCR, aimed at identifying species-specific DNA in meat-based food matrices. Specifically, the research focuses on detecting bovine DNA within a matrix containing porcine DNA, evaluating essential parameters such as sensitivity, specificity, repeatability, and robustness. The results obtained, compared with the criteria reported in the literature, confirm that Real-Time PCR is an efficient and reliable tool for identifying bovine DNA within a porcine DNA matrix. This method emerges as a suitable technique for routine analysis in combating food fraud in the meat sector, supporting the transparency and quality of meat products and safeguarding consumer health. Moreover, this approach holds substantial potential for future developments and optimizations, further enhancing monitoring and control capabilities within the food sector.File | Dimensione | Formato | |
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https://hdl.handle.net/20.500.12608/78680