Acta Optica Sinica, Volume. 41, Issue 17, 1730004(2021)

Fluorescence Auto-Correlation Spectroscopy Quantitatively Measures Antigen-Antibody Binding Affinity

Yamei Luo1, Lin Jian1, Haoqi Luo2, Keying Huang2, Wolun Zhang2, Zhulou Wang1, Huizhi Zhang1, Qian Xiao1、**, and Shaohui Huang1,3、*
Author Affiliations
  • 1Laboratory of Interdisciplinary Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
  • 2LightEdge Technologies Ltd., Zhongshan, Guangdong 528400, China
  • 3University of Chinese Academy of Sciences, Beijing 100049, China
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    This article explores implementation and application of fluorescence auto-correlation spectroscopy (FACS) as a quantitative immunoassay method. Using the binding interaction between Alexa Fluor647 fluorophore/green fluorescent protein antigen and its monoclonal antibody as a model system, we used a benchtop fluorescence correlation spectrometer to collect fluorescence autocorrelation data of solution samples of the antigen mixed with various concentrations of its antibody. Combining the classic FACS technique with the maximum entropy method, we can respectively evaluate antigen-antibody binding quantitatively and qualitatively. By analyzing the collected FACS data, the self-developed data analysis software can determine the dissociation constant of the antigen-antibody binding reaction. Experimental results show that FACS is a simple, rapid, and sensitive method for quantitatively determining antigen-antibody binding affinity, suitable for measuring dissociation constant values in the pM to nM range. The modular software standardizes the data analysis procedure while improving accuracy and reproducibility of analysis results.

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    Yamei Luo, Lin Jian, Haoqi Luo, Keying Huang, Wolun Zhang, Zhulou Wang, Huizhi Zhang, Qian Xiao, Shaohui Huang. Fluorescence Auto-Correlation Spectroscopy Quantitatively Measures Antigen-Antibody Binding Affinity[J]. Acta Optica Sinica, 2021, 41(17): 1730004

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    Paper Information

    Category: Spectroscopy

    Received: Jan. 24, 2021

    Accepted: Mar. 29, 2021

    Published Online: Sep. 3, 2021

    The Author Email: Xiao Qian (qianxiao@ibp.ac.cn), Huang Shaohui (shaohuih@ibp.ac.cn)

    DOI:10.3788/AOS202141.1730004

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