Issue 27, 2024

Fructose@histone synergistically improve the performance of DNA-templated Cu NPs: rapid analysis of LAM in tuberculosis urine samples using a handheld fluorometer and a smartphone RGB camera

Abstract

This study presented a nanoparticle-enhanced aptamer-recognizing homogeneous detection system combined with a portable instrument (NASPI) to quantify lipoarabinomannan (LAM). This system leveraged the high binding affinity of aptamers, the high sensitivity of nanoparticle cascade amplification, and the stabilization effect of dual stabilizers (fructose and histone), and used probe-Cu2+ to achieve LAM detection at concentrations ranging from 10 ag mL−1 to 100 fg mL−1, with a limit of detection of 3 ag mL−1 using a fluorometer. It can also be detected using an independently developed handheld fluorometer or the red–green–blue (RGB) camera of a smartphone, with a minimum detection concentration of 10 ag mL−1. We validated the clinical utility of the biosensor by testing the LAM in the urine of patients. Forty urine samples were tested, with positive LAM results in the urine of 18/20 tuberculosis (TB) cases and negative results in the urine of 6/10 latent tuberculosis infection cases and 10/10 non-TB cases. The assay results revealed a 100% specificity and a 90% sensitivity, with an area under the curve of 0.9. We believe that the NASPI biosensor can be a promising clinical tool with great potential to convert LAM into clinical indicators for TB patients.

Graphical abstract: Fructose@histone synergistically improve the performance of DNA-templated Cu NPs: rapid analysis of LAM in tuberculosis urine samples using a handheld fluorometer and a smartphone RGB camera

Supplementary files

Article information

Article type
Paper
Submitted
01 Apr 2024
Accepted
04 Jun 2024
First published
04 Jun 2024

J. Mater. Chem. B, 2024,12, 6668-6677

Fructose@histone synergistically improve the performance of DNA-templated Cu NPs: rapid analysis of LAM in tuberculosis urine samples using a handheld fluorometer and a smartphone RGB camera

Y. Meng, Y. Wang, Z. Zhan, Y. Chen, C. Zhang, W. Peng, B. Ying and P. Chen, J. Mater. Chem. B, 2024, 12, 6668 DOI: 10.1039/D4TB00693C

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