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Abstract: An RNA aptamer is proposed as a recognition element for the detection of tobramycin in human serum. A displacement assay was developed using faradaic-electrochemical impedance spectroscopy (F-EIS) as a detection technique. Two modified aptamers, a partially (ATA) and a fully O-methylated aptamer (FATA) were evaluated and compared. The affinity constant, K D, for both aptamers was estimated by F-EIS resulting virtually identical within the experimental error. The selectivity towards other aminoglycosides was also studied. The analytical characteristics were evaluated in aqueous solution using both aptamers and FATA was selected for human serum experiments. Using a 1:0.5 dilution of the serum, a linear range between 3μM and 72.1μM was obtained, which included the therapeutic range of the antibiotic. [ABSTRACT FROM AUTHOR]

Simple, cost-effective and reliable tools for the quantification of genetically modified organisms (GMO) in food and feed are highly demanded to enforce labelling legislation in the EU. Herein, we report a novel method for quantitative analysis of genetically modified soybean with the event GTS-40-3-2, also known as Roundup Ready (RR) soybean, using magnetoassays with electrochemical detection, coupled to DNA amplification by end-point polymerase chain reaction (PCR). For the proposed work, two DNA sequences were targeted via hybridisation onto magnetic beads, one specific for the transgenic event and the other for the taxon or species-specific lectin gene. Enzymatic labelling was performed to obtain an electrochemically active product measured by chronoamperometry. By optimising the number of PCR cycles, among other parameters, two magnetoassays coupled to PCR were successfully accomplished and linearity was obtained in the ranges of 53–4425 and 1093–88,496 DNA copies for the event-specific and lectin sequences, respectively. The proposed method provides accurate and precise RR soybean quantitative results, being effectively compared to those obtained by real-time PCR, as the reference method. These findings confirm the suitability of the method as an alternative tool for GMO quantification. [ABSTRACT FROM AUTHOR]