2026-10-15T11:53:00Z https://data.mendeley.com/oai

oai:data.mendeley.com/vhwwgp65vw.1 2026-03-02T21:08:36Z

Bolotnikov, Grigory Supplementary Data: Selection of High Sensitivity Aptamers as the Binding Molecule Equipage on gFET-Based Aptasensors for the Quantification of Staphylococcus aureus (MRSA) Mendeley Data Methicillin-resistant Staphylococcus aureus (MRSA) remains a major cause of hospital- and community-acquired infections, necessitating rapid and sensitive detection strategies. Here, we report the FluCell-SELEX based generation of MRSA-specific DNA aptamers and their use as high sensitivity binding entities on reduced graphene oxide field-effect transistors (rGO-FET). Six rounds of selection, upon next-generation sequencing delivered five individual aptamers, which were synthesized and biochemically characterized. Two best-performers were then immobilized onto rGO-FETs and the resulting sensors exhibited concentration-dependent changes in source-drain current upon exposure to MRSA with low limits of detection of 3 and 2 cells per mL in PBS buffer and 3 and 11 cells per mL in diluted human serum (10% v/v) for aptamers MRSA_1 and MRSA_5. With these findings and the sensitivity observed we dare to assert that we have added a highly valuable set of MRSA-specific aptamers serving as versatile binding entities on gFETs to the portfolio of available aptasensors against health-relevant bacteria. Aptamer FET Biosensor Dataset doi:10.17632/vhwwgp65vw.1 oai:data.mendeley.com/vhwwgp65vw.1 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/vhwwgp65vw 2026-03-02T21:08:36Z