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February 9, 2026ACS Nano

Diagnostic-Mediated Interactive Superlattices Engineering for Threshold-Saltatory Visual Assessment of Tuberculous Meningitis

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Authors

JCJie ChengJHJ HangYZYibo Zhao

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Overview

Advanced nanobiosensing techniques enable precise visual detection of l-tryptophan dysregulation in tuberculous meningitis, indicating improved diagnosis.

Key Points

  • The aim is to enhance the diagnosis of tuberculous meningitis by developing a novel nanobiosensing method to monitor l-tryptophan dysregulation.
  • Constructed superlattice nanoprobes using a self-assembly strategy with organic ligands and platinum layers.
  • Developed a colorimetric response system to detect subtle changes in l-tryptophan levels.
  • Integrated machine learning for improved pattern recognition and self-calibration.
  • Achieved threshold-dependent colorimetric changes, allowing for visual differentiation of l-tryptophan levels.
  • Reduced processing time by over 50% compared to traditional diagnostic methods.
  • Increased detection accuracy by more than 13% and reduced reagent costs by over 74%.

Cite This Study

Cheng et al. (2026) studied this question.

synapsesocial.com/papers/698979a6f0ec2af6756e76b0https://doi.org/10.1021/acsnano.5c21167
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