Small Organic Molecules-based NIR Agents in Cancer Diagnostics: New Frontiers in Imaging and Therapy

Dyes and Pigments, Journal Year: 2025, Volume and Issue: unknown, P. 112648 - 112648

Published: Jan. 1, 2025

Language: Английский

3D Tumor-Mimicking Phantom Models for Assessing NIR I/II Nanoparticles in Fluorescence-Guided Surgical Interventions

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 6, 2025

ABSTRACT Fluorescence image-guided surgery (FIGS) offers high spatial resolution and real-time feedback but is limited by shallow tissue penetration autofluorescence from current clinically approved fluorophores. The near-infrared (NIR) spectrum, specifically the NIR-I (700-900 nm) NIR-II (950-1700 nm), addresses these limitations with deeper improved signal-to-noise ratios. However, biological barriers suboptimal optical performance under surgical conditions have hindered clinical translation of NIR-I/II nanoprobes. In vivo mouse models shown promise, do not replicate complex scenarios encountered during real-world surgeries. Existing tissue-mimicking phantoms used to evaluate imaging systems are useful fall short when assessing nanoprobes in environments. These often fail tumor microenvironment, limiting their predictive assessment. To overcome challenges, we propose developing tumor-mimicking phantom (TMPs) that integrate key features, such as tunable cell densities, -like nanoparticle concentrations, biologically relevant factors (pH, enzymes), light absorption components (hemoglobin), scattering (intralipid). TMPs enable more assessments nanoprobes, including profiling, margin delineation, ex thoracic on porcine lungs. can be further modulated closely match profiles tumors. Additionally, 3D bioprinting technology facilitates a high-throughput platform for screening realistic conditions. This approach will identify high-performing probes superior utility, bridging gap between preclinical findings applications, ensuring results extend beyond traditional studies. TOC

Language: Английский

Insights into Stability and Selective Agglomeration in Binary Mixtures of Colloids: A Study on Gold Nanoparticles and Ultra-Small Quantum Dots

Powders, Journal Year: 2025, Volume and Issue: 4(1), P. 9 - 9

Published: March 19, 2025

Controlling the stability of colloidal nanoparticles in multicomponent systems is crucial for advancing formulations and separation processes. This study investigates selective agglomeration approach binary mixtures, providing both fundamental insights into stability/agglomeration mechanisms a scalable strategy. First, we established model system comprising gold (Au NPs) ZnS quantum dots (QDs) to assess interparticle interactions. UV-visible spectroscopy revealed that impurities released from QDs, particularly thiol-based ligands unbound Zn ions, triggered aggregation Au NPs depending on their surface stabilizers. Functionalization with bis(p-sulfonatophenyl) phenylphosphine (BSPP) significantly enhanced stability, unpurified BSPP-functionalized exhibiting superior resistance agglomeration. Building these insights, applied separate complex consisting InP/ZnS core–shell QDs byproducts, critical challenge QD synthesis relevant post-processing samples originate large-scale flow synthesis. By systematically tuning ethanol concentration as poor solvent, successfully achieved composition-dependent fractionation. Optical spectroscopic analyses confirmed coarse fractions were enriched while fines mainly contained pure absorption peaks at 605 nm 290 nm, respectively. Photoluminescence spectra further demonstrated redshift fractions, correlating an increase particle size. These results underscore potential scalable, post-synthesis classification method, offering framework controlling strategies systems.

Language: Английский