A Dual-Mode “Turn-On” Ratiometric Luminescent Sensor Based on Upconverting Nanoparticles for Detection and Differentiation of Gram-Positive and Gram-Negative Bacteria

Infectious bacterial diseases, intensified by antibiotic resistance, cause millions of deaths annually and pose risks beyond human health, including water and food contamination. Current diagnostics are often slow, require complex equipment, and lack specificity, highlighting the need for rapid and reliable detection methods. To address this, we developed a luminescent sensor based on NaYF<sub>4</sub> upconverting nanoparticles (UCNPs) doped with Er<sup>3+</sup> or Tm<sup>3+</sup>, coated with COOH-PEG<sub>4</sub>-COOH, and functionalized with vancomycin (Van) or polymyxin-B (Poly) to selectively target Gram-positive and Gram-negative bacteria, respectively. Gold nanoparticles (AuNPs) served as quenchers, enabling a ratiometric "turn-on" mechanism: upon bacterial binding, the UCNP emission, initially quenched by AuNPs, was partially restored. This allowed differentiation through changes in the green/red (G/R) ratio for Er-UCNP@PEG<sub>4</sub>-Van and the blue/red (B/R) ratio for Tm-UCNP@PEG<sub>4</sub>-Poly. The sensor distinguished between Gram-positive and Gram-negative bacteria over a wide concentration range (0.05 to 5 × 10<sup>5</sup> CFU/mL) and showed high correlation with actual bacterial counts (<i>r</i> = 0.99 for <i>S. aureus</i>, <i>r</i> = 0.91 for <i>E. coli</i>). This platform is a potential fast, selective, and reliable tool for bacterial detection in clinical and environmental settings.

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Publication Details

Journal
ACS Omega
Published
2025-09-23
DOI
https://doi.org/10.1021/acsomega.5c07006
Citations
1
Primary Topic
Advanced Chemical Sensor Technologies
Type
article
Field-Weighted Citation Impact
0.67
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article

A Dual-Mode “Turn-On” Ratiometric Luminescent Sensor Based on Upconverting Nanoparticles for Detection and Differentiation of Gram-Positive and Gram-Negative Bacteria

Natália Mayumi Inada, Andréa Simone Stucchi de Camargo, Marylyn Setsuko Arai, Leonnam Gotardo Merízio et al.
1 citations
ACS Omega
Advanced Chemical Sensor Technologies
0.67
article

A Dual-Mode “Turn-On” Ratiometric Luminescent Sensor Based on Upconverting Nanoparticles for Detection and Differentiation of Gram-Positive and Gram-Negative Bacteria

Natália Mayumi Inada, Andréa Simone Stucchi de Camargo, Marylyn Setsuko Arai, Leonnam Gotardo Merízio, Gabriel Brambilla, Bruna Carolina Corrêa
article en
1 citations

Abstract

Infectious bacterial diseases, intensified by antibiotic resistance, cause millions of deaths annually and pose risks beyond human health, including water and food contamination. Current diagnostics are often slow, require complex equipment, and lack specificity, highlighting the need for rapid and reliable detection methods. To address this, we developed a luminescent sensor based on NaYF<sub>4</sub> upconverting nanoparticles (UCNPs) doped with Er<sup>3+</sup> or Tm<sup>3+</sup>, coated with COOH-PEG<sub>4</sub>-COOH, and functionalized with vancomycin (Van) or polymyxin-B (Poly) to selectively target Gram-positive and Gram-negative bacteria, respectively. Gold nanoparticles (AuNPs) served as quenchers, enabling a ratiometric "turn-on" mechanism: upon bacterial binding, the UCNP emission, initially quenched by AuNPs, was partially restored. This allowed differentiation through changes in the green/red (G/R) ratio for Er-UCNP@PEG<sub>4</sub>-Van and the blue/red (B/R) ratio for Tm-UCNP@PEG<sub>4</sub>-Poly. The sensor distinguished between Gram-positive and Gram-negative bacteria over a wide concentration range (0.05 to 5 × 10<sup>5</sup> CFU/mL) and showed high correlation with actual bacterial counts (<i>r</i> = 0.99 for <i>S. aureus</i>, <i>r</i> = 0.91 for <i>E. coli</i>). This platform is a potential fast, selective, and reliable tool for bacterial detection in clinical and environmental settings.

ACS OmegaVol. 10(39)
Federal Institute For Materials Research and Testing (DE), Schott (Germany) (DE), Universidade de São Paulo (BR), Schiller International University (FR), Mitchell Institute (US), Texas A&M University (US)
Openalex Percentile: Top 26%
Advanced Chemical Sensor Technologies
0.67
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