Towards detection of biomarkers in the eye using an aptamer-based graphene affinity nanobiosensor
We present an approach to enable the sensitive and specific detection of biomarkers in undiluted tears in the eye using an aptamer-based graphene affinity nanosensor. The nanosensor is a graphene field-effect transistor, in which a nucleic acid aptamer and a biomolecule-permeable polyethylene glycol...
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Veröffentlicht in: | Talanta (Oxford) 2022-12, Vol.250, p.123697-123697, Article 123697 |
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Sprache: | eng |
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Zusammenfassung: | We present an approach to enable the sensitive and specific detection of biomarkers in undiluted tears in the eye using an aptamer-based graphene affinity nanosensor. The nanosensor is a graphene field-effect transistor, in which a nucleic acid aptamer and a biomolecule-permeable polyethylene glycol (PEG) nanolayer are immobilized on the graphene surface. The aptamer is capable of specifically recognize the target biomarker and induce a change in the carrier concentration of the graphene, which is measured to determine the biomarker concentration. The PEG nanolayer minimizes nonspecific adsorption of background molecules in the sample that would otherwise interfere with the biomarker detection. Experimental results show that tumor necrosis factor alpha (TNF-alpha), an inflammatory cytokine, can be sensitively and specifically detected in undiluted artificial tears with a limit of detection of 0.34 pM. This ability to detect and measure biomarkers in undiluted physiological fluids allows the nanosensor to be potentially used in applications where sample dilutions are not practical, such as wearable measurements of tear-borne biomarkers in the eye.
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•An aptamer-based graphene affinity nanosensor for sensitive and specific detection of biomarker in undiluted tears.•A strategy for the nanosensor to effectively operate in physiological fluids using the various molecular weights of PEG.•This paper presents an effective way for graphene sensor to minimize nonspecific adsorption of background molecules. |
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ISSN: | 0039-9140 1873-3573 1873-3573 |
DOI: | 10.1016/j.talanta.2022.123697 |