RESUMO
Storage conditions influence the integrity of the recoverable DNA from forensic evidence in terms of yield and quality. FTA cards are widely used in the forensic practice as their chemically treated matrix provides protection from the moment of collection to the point of analysis with current STR typing technology. In this study, we assess the recoverability and the integrity of DNA from 11-year-old saliva on FTA cards using a forensic quantitative real-time polymerase chain reaction (qPCR) commercial assay. The quality after long-term storage was investigated in order to evaluate if the FTA device could assure enough stability over time, applying some internally validated quality criteria of the STR profile. Furthermore, we used a 3D interpolation model to combine the quantitative and qualitative data from qPCR to calculate the minimum optimal DNA input (MODI) to add to the downstream PCR reaction based on the quantitative and qualitative data of a sample. According to our results, when saliva sample is properly transferred onto FTA cards and then correctly stored according to the manufacturer's instructions, it is possible to recover sufficient amounts of DNA for human identification even after more than a decade of storage at ambient temperature. Degradation affected the quality of results especially when the Degradation Index exceeds the value of 2.12, requiring modifications of the standard internal workflow to improve the genotyping quality. Above this value, the application of a "corrective factor" to the PCR normalization process was necessary in order to adjust the recommended manufacturer's PCR DNA input taking into account the degradation level. Our results demonstrated the importance to consider in predictive terms the parameters obtained with the real-time quantification assay, both in terms of quantity (DNA concentration) and of quality (DI, inhibition). Informatics predictive tools including qPCR data together with the variables of storage duration and conditions should be developed in order to optimize the DNA analysis process.
