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Updated: May 2, 2026

Nanomechanics of Drug-target Interactions and Antibacterial Resistance Detection

Nanomechanics of Drug-target Interactions and Antibacterial Resistance Detection

Published on: October 25, 2013

Bionano Interface Optimization for Rational Lateral Flow Assay Development.

Christy J Sadler^1,2,3, Maya Miller^1,2, Kevion K Darmawan⁴

¹Department of Physiology, Anatomy and Genetics, Department of Engineering Science, University of Oxford, Oxford OX1 3QU, United Kingdom.

|May 1, 2026

Summary

This summary is machine-generated.

Researchers developed a new method, Bionano interface Optimization for LFA Design (BOLD), to improve lateral flow assays (LFAs). BOLD optimizes nanoparticle probes by engineering protein coronas, enhancing diagnostic accuracy and reducing variability in complex biofluids.

Keywords:

diagnostics lateral flow assay nanoparticle protein corona proteomics

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Area of Science:

Biotechnology
Nanotechnology
Biomedical Diagnostics

Background:

Lateral flow assays (LFAs) are crucial point-of-care diagnostic tools.
Biofluid variability and protein corona formation negatively impact LFA performance.
Current LFA methods struggle with reproducibility due to complex biological matrices.

Purpose of the Study:

To develop a robust methodology for optimizing nanoparticle detection probes in LFAs.
To address the challenges posed by biofluid composition and protein corona formation.
To enhance the reliability and reproducibility of LFA results.

Main Methods:

Developed the Bionano interface Optimization for LFA Design (BOLD) workflow.
Utilized mass spectrometry-based proteomics to characterize native protein coronas.
Employed engineered protein coronas and Molecular Dynamics simulations for optimization.

Main Results:

Identified kininogen-1 (KNG1) as a protein causing negative interference in LFAs.
An engineered apolipoprotein corona (apolipoprotein A1, B, and C3) significantly improved LFA performance.
Achieved over a 4-fold improvement in the coefficient of variation, reducing intersample variability.

Conclusions:

The BOLD workflow enables rational optimization of the bionano interface for LFAs.
Characterizing and engineering the protein corona is key to developing robust diagnostic tools.
This approach enhances LFA sensitivity, specificity, and reliability in complex biofluids.