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An Optical Sensing Platform for Beta-Glucosidase Activity Using Protein-Inorganic Hybrid Nanoflowers

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Abstract

In this work, a convenient and dual-signal readout optical sensing platform for the sensitively and selectively determination of beta-glucosidase (β-Glu) activity was reported using protein-inorganic hybrid nanoflowers [BSA-Cu3(PO4)2·3H2O] possessing peroxidase-mimicking activity. The nanoflowers (NFs) were facilely synthesized through a self-assembled synthesis strategy at room temperature. The as-prepared NFs could catalytically convert the colorless and non-fluorescent Amplex Red into colored and highly fluorescent resorufin in the presence of hydrogen peroxide via electron transfer process. β-Glu could hydrolyze cyanogenic glycoside, using amygdalin (Amy) as a model, into cyanide ions (CN−), which can subsequently efficiently suppress the catalytic activity of NFs, accompanied with the fluorescence decrease and the color fading. The concentration of CN− was controlled by β-Glu-triggered enzymatic reaction of Amy. Thus, a sensing system was established for fluorescent and visual determination of β-Glu activity. Under the optimum conditions, the present fluorescent and visual bimodal sensing platform exhibited good sensitivity for β-Glu activity assay with a detection limit of 0.33 U·L−1. The sensing platform was further applied to determinate β-Glu in real samples and satisfactory results were attained. Additionally, the optical sensing system can potentially be a promising candidate for β-Glu inhibitors screening.

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Data Availability

All data generated or analyzed during this study are included in this manuscript and the Attach File “Supporting Information” section.

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Funding

The authors gratefully acknowledge the financial support of the National Key R&D Program of China (2019YFA0607301), the China Postdoctoral Science Foundation (Nos. 2018M631850 and 2020T130088), and the Natural Science Foundation of Jilin Province, China (YDZJ202101ZYTS104).

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Authors and Affiliations

  1. Key Laboratory of Geographical Processes and Ecological Security of Changbai Mountains, Ministry of Education, School of Geographical Sciences, Northeast Normal University, Changchun, 130024, China

    Ziping Liu, Shasha Liu, Decai Gao & Edith Bai

  2. School of Geographical Sciences, Northeast Normal University, People’s Street 5268, Changchun Jilin, 130024, China

    Ziping Liu

  3. Key Laboratory for Vegetation Ecology, Ministry of Education, Institute of Grassland Science, Northeast Normal University, Changchun, Jilin Province, 130024, China

    Yanan Li

  4. Jilin Province Product Quality Supervision Testing Institute, Changchun, 130012, People’s Republic of China

    Ye Tian

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  1. Ziping Liu
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  2. Shasha Liu
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  3. Decai Gao
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  4. Yanan Li
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  5. Ye Tian
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  6. Edith Bai
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Contributions

Ziping Liu: Conceptualization, Methodology, Investigation, Data curation, Writing-original draft. Shasha Liu: assisted with data collection and data analysis. Decai Gao: Resources, Supervision, Funding acquisition. Yanan Li: assisted with data collection and data analysis. Ye Tian: assisted with data collection and data analysis. Edith Bai: Resources, Supervision, Funding acquisition. All authors read and approved the final manuscript.

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Correspondence to Decai Gao or Edith Bai.

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Liu, Z., Liu, S., Gao, D. et al. An Optical Sensing Platform for Beta-Glucosidase Activity Using Protein-Inorganic Hybrid Nanoflowers. J Fluoresc 32, 669–680 (2022). https://doi.org/10.1007/s10895-021-02859-1

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  • DOI: https://doi.org/10.1007/s10895-021-02859-1

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