Enhanced Visualization of Erythrocytes Through Photoluminescence Using NaYbF4:Yb3+,Er3+ Nanoparticles

Rare-earth nanoparticles (RE-NPs), particularly NaYF<sub>4</sub>:Yb<sup>3+</sup>,Er<sup>3+</sup>, have emerged as a promising class of photoluminescent probes for bioimaging and sensing applications. These nanomaterials are characterized by their ability to absorb low-energy photons and emit higher-energy photons through an upconversion luminescence process. This process can be triggered by continuous-wave (CW) light excitation, providing a unique optical feature that is not exhibited by native biomolecules. However, the application of upconversion nanoparticles (UCNPs) in bioimaging requires systematic optimization to maximize the signal and ensure biological compatibility. In this work, we synthesized hexagonal-phase UCNPs (average diameter: 29 ± 3 nm) coated with polyacrylic acid (PAA) and established the optimal conditions for imaging human erythrocytes. The best results were obtained after a 4-h incubation in 100 mM HEPES buffer, using a nanoparticle concentration of 0.01 mg/mL and a laser current intensity of 250-300 mA. Under these conditions, the UCNPs exhibited minimal cytotoxicity and were found to predominantly localize at the erythrocyte membrane periphery, indicating surface adsorption rather than internalization. Additionally, a machine learning model (Random Forest) was implemented that classified the photoluminescent signal with 80% accuracy and 83% precision, with the signal intensity identified as the most relevant feature. This study establishes a quantitative and validated protocol that balances signal strength with cell integrity, enabling robust and automated image analysis.

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Publication Details

Journal
Biosensors
Published
2025-06-20
DOI
https://doi.org/10.3390/bios15070396
Primary Topic
Luminescence Properties of Advanced Materials
Type
article
Field-Weighted Citation Impact
0.00

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article

Enhanced Visualization of Erythrocytes Through Photoluminescence Using NaYbF4:Yb3+,Er3+ Nanoparticles

Alejandro Von Chong, Carmenza Spadafora, Jorge Rubio‐Retama, Michelle G. Ng et al.
Biosensors
Luminescence Properties of Advanced Materials
article

Enhanced Visualization of Erythrocytes Through Photoluminescence Using NaYbF4:Yb3+,Er3+ Nanoparticles

Alejandro Von Chong, Carmenza Spadafora, Jorge Rubio‐Retama, Michelle G. Ng, Lorena Coronado, Vivian Torres Vera, Ana Patricia Valencia, Esteban Rua, Ricardo Correa
article en

Abstract

Rare-earth nanoparticles (RE-NPs), particularly NaYF<sub>4</sub>:Yb<sup>3+</sup>,Er<sup>3+</sup>, have emerged as a promising class of photoluminescent probes for bioimaging and sensing applications. These nanomaterials are characterized by their ability to absorb low-energy photons and emit higher-energy photons through an upconversion luminescence process. This process can be triggered by continuous-wave (CW) light excitation, providing a unique optical feature that is not exhibited by native biomolecules. However, the application of upconversion nanoparticles (UCNPs) in bioimaging requires systematic optimization to maximize the signal and ensure biological compatibility. In this work, we synthesized hexagonal-phase UCNPs (average diameter: 29 ± 3 nm) coated with polyacrylic acid (PAA) and established the optimal conditions for imaging human erythrocytes. The best results were obtained after a 4-h incubation in 100 mM HEPES buffer, using a nanoparticle concentration of 0.01 mg/mL and a laser current intensity of 250-300 mA. Under these conditions, the UCNPs exhibited minimal cytotoxicity and were found to predominantly localize at the erythrocyte membrane periphery, indicating surface adsorption rather than internalization. Additionally, a machine learning model (Random Forest) was implemented that classified the photoluminescent signal with 80% accuracy and 83% precision, with the signal intensity identified as the most relevant feature. This study establishes a quantitative and validated protocol that balances signal strength with cell integrity, enabling robust and automated image analysis.

BiosensorsVol. 15(7)
Universidad Complutense de Madrid (ES), Latin University of Panama (PA), Instituto Ramón y Cajal de Investigación Sanitaria (ES), Secretaría Nacional de Ciencia, Tecnología e Innovación (PA), Instituto de Investigaciones Científicas y Servicios de Alta Tecnología (PA), Universidad Tecnológica de Panamá (PA)
Secretaría Nacional de Ciencia, Tecnología e Innovación
Openalex Percentile: Top 90%
Luminescence Properties of Advanced Materials
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