4.8 Article

Carboxyl-functionalized graphene oxide composites as SPR biosensors with enhanced sensitivity for immunoaffinity detection

期刊

BIOSENSORS & BIOELECTRONICS
卷 89, 期 -, 页码 370-376

出版社

ELSEVIER ADVANCED TECHNOLOGY
DOI: 10.1016/j.bios.2016.06.073

关键词

Surface plasmon resonance (SPR); Carboxyl-functionalized graphene oxide(GO-COOH); Immunoaffinity; Biocompatible; Biosensor

资金

  1. Ministry of Science and Technology of the Republic of China, Taiwan [MOST 103-2221-E-003 -008, NSC 102-2221-E-003-021, NSC 99-2218-E-003-002-MY3]
  2. Instrumentation Center at National Tsing Hua University (FTIR)

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This work demonstrates the excellent potential of carboxyl-functionalized graphene oxide (GO-COOH) composites to form biocompatible surfaces on sensing films for use in surface plasmon resonance (SPR)-based immunoaffinity biosensors. Carboxyl-functionalization of graphene carbon can modulate its visible spectrum, and can therefore be used to improve and control the plasmonic coupling mechanism. The binding properties of the molecules between a sensing film and a protein were elucidated at various flow rates of those molecules. The bio-specific binding interaction among the molecules was investigated by performing an antigen and antibody affinity immunoassay. The results thus obtained revealed that the overall affinity binding value, K-A, of the Au/GO-COOH chip can be significantly enhanced by up to similar to 5.15 times that of the Au/GO chip. With respect to the shifts of the SPR angles of the chips, the affinity immunoassay interaction at a BSA concentration of 1 mu g/ml for an Au/GO-COOH chip, an Au/GO chip and a traditional SPR chip are 35.5 m degrees, 9.128 m degrees and 8.816 m degrees, respectively. The enhancement of the antigen antibody interaction of the Au/GO-COOH chip cause this chip to become four times as sensitive to the SPR angle shift and to have the lowest antibody detection limit of 0.01 pg/ml. These results indicate the potential of the chip in detecting specific proteins, and the development of real-time in vivo blood analysis and diagnosis based on cancer tumor markers. (C) 2016 Elsevier B.V. All rights reserved.

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