Laser & Optoelectronics Progress, Volume. 60, Issue 7, 0728004(2023)

Graphene Oxide Microfiber-Based Immunosensor for Rabies Virus

Qi Yang1, Binbin Luo1、*, Zhipeng Gu2, Shengxi Wu2, Shenghui Shi1, and Mingfu Zhao1
Author Affiliations
  • 1Chongqing Key Laboratory of Optical Fiber Sensor and Photoelectric Detection, Chongqing University of Technology, Chongqing 400054, China
  • 2Chongqing Key Laboratory of Medicinal Chemistry and Molecular Pharmacology, Chongqing University of Technology, Chongqing 400054, China
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    In this study, an immunosensor based on a graphene oxide (GO)-functionalized microfiber is developed and used for the analysis of rabies virus (RV) immunodetection. For this, first, a standard single-mode fiber was discharged through an optical fiber fusion splicer to form a double-tapered fiber, after which the double-tapered fiber was fused and tapered to produce a high-sensitivity microfiber. Subsequently, the microfiber surface was modified with GO, and RV antigens were immobilized on the surface of the sensor for the immunoassay of RV antibodies. The experimental results indicate that the detection range of the biosensor for RV antibodies is 200 fg/mL-1 ng/mL, its detection of limit (LOD) is approximately 225.56 fg/mL, and its detection sensitivity and dissociation coefficient are approximately 1.099 nm/log (mg·mL-1) and 2.92×10-11 M, respectively. When the sensor is used in control experiments and clinical immunoassays for other antibody solution samples and RV-positive serum, it yields weak responses to the former and significant responses to the latter, indicating its high specificity to RV antibodies. The proposed immunosensor based on the GO-modified microfiber demonstrates the advantages of facile fabrication, micro-nano size, high sensitivity, and low cost.

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    Qi Yang, Binbin Luo, Zhipeng Gu, Shengxi Wu, Shenghui Shi, Mingfu Zhao. Graphene Oxide Microfiber-Based Immunosensor for Rabies Virus[J]. Laser & Optoelectronics Progress, 2023, 60(7): 0728004

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Jan. 21, 2022

    Accepted: Mar. 29, 2022

    Published Online: May. 24, 2023

    The Author Email: Luo Binbin (luobinbin@cqut.edu.cn)

    DOI:10.3788/LOP220600

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