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ACS Appl Mater Interfaces . Intelligent Analysis of Avian Influenza Virus Biomarkers Based on Chemiluminescence Resonance Energy Transfer and DNA L

tetano

Editor, Senior Moderator
ACS Appl Mater Interfaces


. 2024 Sep 17.
doi: 10.1021/acsami.4c10356. Online ahead of print. Intelligent Analysis of Avian Influenza Virus Biomarkers Based on Chemiluminescence Resonance Energy Transfer and DNA Logic Analysis

Yafei Tian[SUP] 1 [/SUP], Xueyun Lu[SUP] 1 [/SUP], Yujiao Zhang[SUP] 1 [/SUP], Dan Xiao[SUP] 1 [/SUP], Cuisong Zhou[SUP] 1 [/SUP]



Affiliations
Abstract

A one-step logical analysis of multiple targets remains challenging. Herein, we report a one-pot and intelligent DNA logical analysis platform for the diagnosis of avian influenza virus (AIV) biomarkers based on chemiluminescence resonance energy transfer (CRET) and logic operations. On the surface of Lum/PEI/CaCO[SUB]3[/SUB] microparticles, the excited state of luminol underwent CRET with fluorescein isothiocyanate or rhodamine B isothiocyanate, producing three well-separated light emissions at 425, 530, and 590 nm, respectively. Taking advantage of the close distance between fluorophores aligned by the catalytic hairpin assembly reaction, the CRET efficiency was greatly enhanced (53.1%). H1N1, H7N9, and H5N1 were detected with limits of detection values as low as 15, 34, and 58 pM, respectively. Three-input logic circuits were simultaneously conducted on the surface of Lum/PEI/CaCO[SUB]3[/SUB] microparticles, enabling the rapid and accurate discrimination of multiple AIV biomarkers in one solution. In terms of peak positions and the normalized value of the total peak intensity, three biomarkers can be simultaneously discriminated without any other complex operations. In summary, the CRET-based multiple analytical assay was developed as an intelligent biosensor for identifying AIV biomarkers, having promising application prospects in the field of multiple analysis and precise disease diagnosis.

Keywords: CRET; DNA logic analysis; Lum/PEI/CaCO3; avian influenza virus; multiple analysis.

 
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