Highly Sensitive and Selective Biosensors Based on Organic Transistors Functionalized with Cucurbit[6]uril Derivatives
Autor: | Young Min Rhee, Hyun Woo Kim, Sunri Lee, Hyoeun Kim, Joon Hak Oh, Kimoon Kim, Jayshree K. Khedkar, Moonjeong Jang, Ilha Hwang |
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Rok vydání: | 2015 |
Předmět: |
Detection limit
Materials science Organic field-effect transistor Immobilized enzyme business.industry Transistor Nanotechnology Condensed Matter Physics Combinatorial chemistry Electronic Optical and Magnetic Materials law.invention Biomaterials Semiconductor law Electrode Electrochemistry Selectivity business Biosensor |
Zdroj: | Advanced Functional Materials. 25:4882-4888 |
ISSN: | 1616-301X |
Popis: | Biosensors based on a field-effect transistor platform allow continuous monitoring of biologically active species with high sensitivity due to the amplification capability of detected signals. To date, a large number of sensors for biogenic substances have used high-cost enzyme immobilization methods. Here, highly sensitive organic field-effect transistor (OFET)-based sensors functionalized with synthetic receptors are reported that can selectively detect acetylcholine (ACh+), a critical ion related to the delivery of neural stimulation. A cucurbit[6]uril (CB[6]) derivative, perallyloxyCB[6] ((allyloxy)12CB[6], AOCB[6]), which is soluble in methanol but insoluble in water, has been solution-deposited as a selective sensing layer onto a water-stable p-channel semiconductor, 5,5′-bis-(7-dodecyl-9H-fluoren-2-yl)-2,2′-bithiophene layer. The OFET-based sensors exhibit a detection limit down to 1 × 10–12 m of ACh+, which is six orders of magnitude lower than that of ion-selective electrode-based sensors. Moreover, these OFET-based sensors show highly selective discrimination of ACh+ over choline (Ch+). The findings demonstrate a viable method for the fabrication of OFET-based biosensors with high sensitivity and selectivity, and allow for practical applications of OFETs as high-performance sensors for biogenic substances. |
Databáze: | OpenAIRE |
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