Citation: Yuanyuan Cheng, Rong-Mei Kong, Wenao Hu, Xiaoxia Tian, Lingdong Zhang, Lian Xia, Fengli Qu. Colorimetric-assisted photoelectrochemical sensing for dual-model detection of sialic acid via oxidation-power mediator integration[J]. Chinese Chemical Letters, ;2023, 34(3): 107502. doi: 10.1016/j.cclet.2022.05.016 shu

Colorimetric-assisted photoelectrochemical sensing for dual-model detection of sialic acid via oxidation-power mediator integration

School of Chemistry and Chemical Engineering, Qufu Normal University, Qufu 273165, China

xialian01@163.com

fengliquhn@hotmail.com

Received Date: 12 January 2022
Revised Date: 21 April 2022
Accepted Date: 8 May 2022
Available Online: 11 May 2022

Figures(6)

Development of sensitive and accurate methods for sialic acid (SA) determination is of great significance in early cancer diagnosis. Here, a colorimetric-assisted Photoelectrochemical (PEC) sensor was constructed for SA detection based on the two pairs of cis-diol groups in SA molecule. With the specific recognition of SA via the two pairs of cis-diol groups, the prepared gold-modified Bi₂S₃ (Au NPs@Bi₂S₃) and metal organic framework (Au@PCN-224) were introduced to the electrode and formed a sandwich structure. Based on the properties of inert electroconductivity and nanozyme of the PCN-224, dual-readout of photocurrent and visualization was achieved with the presence of 3, 3′, 5, 5′-tetramethylbenzidine (TMB). Moreover, to intensify the visualization signal, Ce³⁺ was employed as the mediator to boost the catalysis capability by transferring energy from PCN-224 surface to the whole system. With the unique SA recognition and the mediation of Ce³⁺, both the photocurrent and the visualization signals sensitively responded with the SA concentration linearly. The present method showed greatly high sensitivity, selectivity and accuracy for SA detection with a limit of detection of 1.44 µmol/L and a wide linear range of 5–1000 µmol/L. This method provided a new promising platform for SA detection and a potential strategy for design of novel biosensors with dual-model readout.
- Sialic acid,
- Photoelectrochemical sensor,
- Visualization,
- Metal organic frameworks,
- Dual-mode readout
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