Selection of Specific Aptamer against Rivaroxaban and Utilization for Label-Free Electrochemical Aptasensing Using Gold Nanoparticles: First Announcement and Application for Clinical Sample Analysis

Autor: Rokhsareh Ebrahimi, Abolfazl Barzegari, Reza Teimuri-Mofrad, Houman Kholafazad Kordasht, Mohammad Hasanzadeh, Maryam Khoubnasabjafari, Vahid Jouyban-Gharamaleki, Abbas Afrasiabi Rad, Nasrin Shadjou, Mohammad-Reza Rashidi, Mohammad Reza Afshar Mogaddam, Abolghasem Jouyban
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Biosensors, Vol 12, Iss 10, p 773 (2022)
Druh dokumentu: article
ISSN: 12100773
2079-6374
DOI: 10.3390/bios12100773
Popis: For the first time, a novel aptamer was designed and utilized for the selective detection of rivaroxaban (RIV) using the integration of bioinformatics with biosensing technology. The selected aptamer with the sequence 5′-TAG GGA AGA GAA GGA CAT ATG ATG ACT CAC AAC TGG ACG AAC GTA CTT ATC CCC CCC AAT CAC TAG TGA ATT-3′ displayed a high binding affinity to RIV and had an efficient ability to discriminate RIV from similar molecular structures. A novel label-free electrochemical aptasensor was designed and fabricated through the conjugation of a thiolated aptamer with Au nanoparticles (Au-NPs). Then, the aptasensor was successfully applied for the quantitative determination of RIV in human plasma and exhaled breath condensate (EBC) samples with limits of detection (LODs) of 14.08 and 6.03 nM, respectively. These valuable results provide ample evidence of the green electrogeneration of AuNPs on the surface of electrodes and their interaction with loaded aptamers (based on Au-S binding) towards the sensitive and selective monitoring of RIV in human plasma and EBC samples. This bio-assay is an alternative approach for the clinical analysis of RIV and has improved specificity and affinity. As far as we know, this is the first time that an electrochemical aptasensor has been verified for the recognition of RIV and that allows for the easy, fast, and precise screening of RIV in biological samples.
Databáze: Directory of Open Access Journals
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