Purpose: The purpose of this study was to optimize and validate an efficient PCR-RFLP protocol for meat species identification using automated detection and data analysis of the QIAxcel Advanced system.
Methods: After meat homogenization and lysis, DNA purification was performed using QIAsymphony and Qiasymphony DSP DNA mini kit. Following PCR, the resulting product of 359 bp was digested with four restriction enzymes: AluI, HaeIII, HinfI and RsaI. The digests were analyzed by native capillary electrophoresis and the results were interpreted utilizing a programmed Excel sheet.
Results: Raw meat was used, as well as the meat processed by cooking, freezing, cooking and smoking, dehydration and sterilization. The method was tested on 108 reference samples containing either only one meat (80) or mixed meat species (28). For validation, the samples were analyzed by real-time PCR and the results were compared to the data obtained by PCR- RFLP following the analysis by QIAxcel ScreenGel software. The two methods gave 100% congruent results.
Significance: Using the native and automated capillary electrophoresis significantly reduces the analysis time and minimizes the potential procedural errors, thus providing reliable and fast method for meat species identification, especially for large-scale analyses encountered in the routine food control of meat and meat products.