AI Article Synopsis

  • Plasmonic nanoparticle-based biosensors face challenges in detecting microorganisms in complex biofluids, but a new sensor array uses the dissociation of peptide-aggregated nanoparticles with HS-PEG polymers for improved detection.
  • The study reveals that HS-PEGs of different sizes effectively dissociate gold and silver nanoparticle clusters, allowing for the discrimination of various bacteria, fungi, and viruses in saliva and water at a high confidence level.
  • The sensor array successfully identified specific subtypes of viruses like SARS-CoV-2 and influenza, and differentiated between healthy saliva and samples from patients with periodontitis or COVID-19.

Article Abstract

Plasmonic nanoparticle-based biosensors often report a colorimetric signal through the aggregation or clustering of the nanoparticles (NPs), but these mechanisms typically struggle to function in complex biofluids. Here, we report a matrix-insensitive sensor array approach to detect bacteria, fungi, and viruses whose signal is based on the dissociation of the peptide-aggregated NPs by thiolated polyethylene glycol (HS-PEG) polymers. We show that the HS-PEGs of differing sizes have varying capabilities to dissociate citrate-capped gold nanoparticle (AuNP) and silver nanoparticle (AgNP) assemblies. The dissociative abilities of the HS-PEGs were used in this sensor array to discriminate at the 90% confidence level the microorganisms , , and in water and saliva using linear discriminant analysis (LDA). We further demonstrate the versatility of the sensor array by detecting various subtypes of the viruses SARS-CoV-2 (beta, delta, and omicron) and influenza (H3N2) spiked in saliva samples using LDA. In the final demonstration, the sensor array design stratified healthy saliva samples from patient samples diagnosed with periodontitis as well as COVID-19.

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http://dx.doi.org/10.1021/acsami.4c15662DOI Listing

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