AuNP array coated substrate for sensitive and homogeneous SERS-immunoassay detection of human immunoglobulin G.

Journal: RSC advances
Published Date: Jun 28, 2021

Abstract

Owing to the high sensitivity, fast responsiveness and high specificity, immunoassays using surface-enhanced Raman scattering (SERS) as the readout signal displayed great potential in disease diagnosis. In this study, we developed a SERS-immunoassay method for the detection of human immunoglobulin G (HIgG). Upon involving well-ordered AuA on a SERSIA substrate, the LSPR effect was further enhanced to generate a strong and uniform Raman signal through the formation of sandwich structure with the addition of target HIgG and SERSIA tag. Optimization of the assay provided a wide linear range (0.1-200 μg mL) and low limit of detection (0.1 μg mL). In addition, the SERS-immunoassay method displayed excellent specificity and was homogeneous, which guaranteed the practical use of this method in the quantitative detection of HIgG. To validate this assay, human serum was analysed, which demonstrated the potential advantages of SERS-immunoassay technology in clinical diagnostics.

Authors

  • Qi Qu
    School of Chemical Engineering and Technology, State Key Laboratory of Chemical Engineering, Tianjin University Tianjin 300350 P. R. China mwang@tju.edu.cn.
  • Jing Wang
    Endoscopy Center, Peking University Cancer Hospital and Institute, Beijing, China.
  • Chuan Zeng
    Technical Center of Zhuhai Entry-Exit Inspection and Quarantine Bureau Zhuhai P. R. China.
  • Mengfan Wang
    School of Chemical Engineering and Technology, State Key Laboratory of Chemical Engineering, Tianjin University Tianjin 300350 P. R. China mwang@tju.edu.cn.
  • Wei Qi
    School of Chemical Engineering and Technology, State Key Laboratory of Chemical Engineering, Tianjin University Tianjin 300350 P. R. China mwang@tju.edu.cn.
  • Zhimin He
    School of Chemical Engineering and Technology, State Key Laboratory of Chemical Engineering, Tianjin University Tianjin 300350 P. R. China mwang@tju.edu.cn.

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