2022
DOI: 10.1021/acsanm.2c02711
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Aptasensors Based on Graphene Field-Effect Transistors for Arsenite Detection

Abstract: All-electronic chemical sensors based on field-effect transistors (FETs) hold tremendous promise for rapid and sensitive detection of arsenic in groundwater. Their sensitivity, however, is fundamentally limited by a chemical gating mechanism where target ion charges are directly measured. We have developed a highly sensitive aptasensor, based on scalable graphene FETs, which relies on the conformational change of the negatively charged aptamer upon arsenite binding, offering a wide analytical range, from 0.05 … Show more

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Cited by 12 publications
(6 citation statements)
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“…The aptasensor array demonstrated exceptional sensing capabilities for the detection of Hg 2+ ions selectively in 100 pM to 100 nM concentration range within one second and with a LOD of 40 pM. Recently, Li et al 214 also demonstrated scalable GFET aptasensor arrays consisting of 100 GFETs for sensitive detection of arsenite (As 3+ ) ions (Figure 8D). The aptamer functionalized GFET for detection of As 3+ mainly relies on the conformationational change of the negatively charged aptamer upon interaction with As 3+ ions.…”
Section: ■ Gfet Biosensors For Metal Ion Detectionmentioning
confidence: 99%
“…The aptasensor array demonstrated exceptional sensing capabilities for the detection of Hg 2+ ions selectively in 100 pM to 100 nM concentration range within one second and with a LOD of 40 pM. Recently, Li et al 214 also demonstrated scalable GFET aptasensor arrays consisting of 100 GFETs for sensitive detection of arsenite (As 3+ ) ions (Figure 8D). The aptamer functionalized GFET for detection of As 3+ mainly relies on the conformationational change of the negatively charged aptamer upon interaction with As 3+ ions.…”
Section: ■ Gfet Biosensors For Metal Ion Detectionmentioning
confidence: 99%
“…This, in turn, has led to significant improvements in the performance of biosensors. Increasing use of computational tools in the study of gFETs [73,92,93] has demonstrated the predictive power of computational approaches in protein engineering for sensing applications.…”
Section: Exploiting Computational Approaches To Tailor Bioreceptor St...mentioning
confidence: 99%
“…Field-effect-transistor (FET)-based sensors are attractive platforms for biochemical diagnostics in point-of-care applications due to their high sensitivity, rapid detection, and relative ease of large-scale manufacture through harnessing available semiconductor fabrication infrastructure. Recent developments in sensing have received an exciting boost through utilization of one- or two-dimensional materials with an intrinsically high surface area to volume ratio along with high charge carrier mobility, facilitating superior sensitivity as exemplified through the use of graphene. For specificity of analyte detection, the related surfaces typically have attached linker molecules, e.g., 1-pyrenebutanoic acid N -hydroxysuccinimidyl ester (PBASE), followed by bioreceptors, such as aptamers (Ap) and enzymes, that are at a distance away from the surface (see Section S1 of the Supporting Information for related mechanisms) rather than direct adsorption onto the surface, , for specific binding to a target analyte ion. The utilization of Ap, i.e., single-stranded DNA or RNA oligonucleotides, is attractive due to the possibility of high selectivity and ease of further modification (adaptation) from (to) various biologic as well as chemical functional groups and has been extensively reviewed. …”
mentioning
confidence: 99%
“…10 μL of a range of PBASE concentrations (through mixing 1-pyrenebutanoic acid (Anaspec, Inc.) with dimethylformamide) was placed on the graphene, followed by 10 μL of T30695 Ap (from IDT Technologies, Inc., in a range of concentrations in deionized water). Ap was heated to 90 °C for 5 min and slowly cooled to room temperature to induce extended conformation . Subsequently, ethanolamine (EA) was used to passivate the unlinked left over PBASE.…”
mentioning
confidence: 99%
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