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Updated: May 11, 2026

Multiplex Detection of Bacteria in Complex Clinical and Environmental Samples using Oligonucleotide-coupled Fluorescent Microspheres
Published on: October 23, 2011
Dual-signal multiplex assays based on non-tandem enzymes for simultaneous detection of multiple pathogenic bacteria
Tianxin Xiang1,2, Jin Wen3, Jianhua Fang1,2
1Jiangxi Provincial Key Laboratory of Prevention and Treatment of Infectious Diseases, Jiangxi Medical Center for Critical Public Health Events, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330052, P.R. China.
Abstract:
Enzymatic assays represent a promising alternative to conventional multiplex optical methods for multi-target detection due to their exceptional specificity and catalytic versatility. Nevertheless, most existing enzymatic systems are limited to single-target detection. In this work, we developed a dual-signal multiplex assay based on non-tandem enzymes for the simultaneous detection of multiple pathogenic bacteria. This assay utilizes the distinct catalytic activities of horseradish peroxidase (HRP) and invertase (INV) to produce two orthogonal signal outputs. Specifically, HRP catalyzes the oxidation of 3,3',5,5'-tetramethylbenzidine to produce a blue chromogenic signal measurable by absorbance, while INV hydrolyzes sucrose to yield glucose, which is quantified with a personal glucose meter. To implement this assay, HRP and INV are individually encapsulated within zeolitic imidazolate framework-90, and Fe3O4 nanoparticles functionalized with phenylboronic acid are employed for dual-recognition of target pathogens. By integrating spatiotemporal control of enzymatic reactions with distinct signal separation, the assay effectively minimizes crosstalk and enhances detection accuracy and reliability. This assay demonstrates excellent sensitivity and selectivity in milk samples, highlighting its potential for practical applications. We believe this work establishes a versatile and robust platform for multiplex pathogen detection, with significant implications for food safety, clinical diagnostics, and environmental monitoring.

