Issue 9, 2021

Digital counting of single semiconducting polymer nanoparticles for the detection of alkaline phosphatase

Abstract

Alkaline phosphatase (ALP) as a necessary hydrolase in phosphate metabolism is closely related to various diseases. Ultrasensitive detection of ALP with a convenient and sensitive method is of fundamental importance. In this work, a fluorescence resonance energy transfer (FRET)-based single-particle enumeration (SPE) method is proposed for the quantitative analysis of ALP. This strategy is based on the effective fluorescence suppression by a polydopamine (PDA) shell on the surface of semiconducting polymer nanoparticles (SPNs). PDA with broadband absorption in the UV-vis region can serve as an excellent quencher for SPNs. However, ascorbic acid (AA), the product of the hydrolysis of 2-phosphate-L-ascorbic acid trisodium salt (AAP) in the presence of ALP, can effectively inhibit the self-polymerization of dopamine (DA) to form a PDA layer. Therefore, ALP can be accurately quantified by counting the concentration-related fluorescent particles in the fluorescence image. A linear range from 0.031 to 12.4 μU mL−1 and a limit-of-detection (LOD) of 0.01 μU mL−1 for ALP determination are achieved. The spiked recoveries for ALP determination in a human serum sample are between 90% and 108% with RSD less than 3.1%. In summary, this convenient and sensitive approach proposed here provides promising prospects for ALP detection in a complex biological matrix.

Graphical abstract: Digital counting of single semiconducting polymer nanoparticles for the detection of alkaline phosphatase

Article information

Article type
Paper
Submitted
31 Dec 2020
Accepted
30 Jan 2021
First published
01 Feb 2021

Nanoscale, 2021,13, 4946-4955

Digital counting of single semiconducting polymer nanoparticles for the detection of alkaline phosphatase

S. Wang, M. Huang, J. Hua, L. Wei, S. Lin and L. Xiao, Nanoscale, 2021, 13, 4946 DOI: 10.1039/D0NR09232K

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