Plasmonic nanoarchitectured systems for biomedical application DOI
J. R. Mejía-Salazar, Osvaldo N. Oliveira

Advances in Colloid and Interface Science, Год журнала: 2025, Номер 342, С. 103520 - 103520

Опубликована: Апрель 18, 2025

Язык: Английский

Localized and Controllable Mineral Salts Crystallization Enabled by Dye Modified Gold Nanorods with Enhanced Photothermal Conversion DOI Open Access
Xudong Yan,

Yutong Shang,

Li Yi

и другие.

Advanced Materials, Год журнала: 2025, Номер unknown

Опубликована: Март 18, 2025

Abstract Well‐designed nanomaterials with favorable photothermal performance are beneficial for exploring fascinating and prospective applications. Herein the facile effective way is reported to enhance properties of gold nanorods (GNRs) through immobilizing tailored organic dyes around GNRs. Benefitting from combination plasmonic thermalization nonradiative relaxation, modified GNRs exhibit a temperature increase >100 °C under 638 nm laser irradiation in film state, which double that bare GNRs‐doped same condition. The hybrid also exhibits superior stability reusability compared only doped dyes. Surface can be adjusted 31 116 by tunning either doping materials concentration or light power. Interestingly, serves as reusable energy converter confined controllable crystallization mineral salts. NaCl crystals arranged into different patterns moving probe during crystallization. Microcrystals CaCO 3 (calcite, vaterite, aragonite), BaCO 3, SrCO successfully obtained. It believed as‐prepared well demonstrated will contribute development function‐led materials.

Язык: Английский

Процитировано

0

Predictive design of plasmonic color DOI Creative Commons
Gudrun Bleyer, Andrian Uihlein, Umair Sultan

и другие.

Journal of Colloid and Interface Science, Год журнала: 2025, Номер unknown, С. 137408 - 137408

Опубликована: Март 1, 2025

Predictive design promises direct access to nanomaterials with optimal properties, identified by rigorous mathematical optimization. This strategy thus provides structural blueprints for synthesis and circumvents extensive parameter screening. Here, we establish predictive of nanoparticle systems using the example plasmonic coloration. The perceived color dispersions is influenced interplay entire visible particle spectrum wavelength-dependent sensitivities human eye, not only a function plasmon resonance positions. We use Mie theory compute far-field spectra spherical gold silver core-shell nanoparticles convert them into eye. Color maps that describe minimum difference relative predefined target are established as concentration, core diameter shell thickness, providing predictions structure targeted color. demonstrate feasibility this successfully targeting multiple colors discuss limitations discrepancies between experiment simulations. Our results showcase holds promise resource-efficient syntheses functional desired property can be accurately predicted in silico.

Язык: Английский

Процитировано

0

Predicting Aggregation Behavior of Nanoparticles in Liquid Crystals via Automated Data‐Driven Workflows DOI Creative Commons
Yaru Gao, Niamh Mac Fhionnlaoich, Maximilian O. Besenhard

и другие.

Advanced Functional Materials, Год журнала: 2025, Номер unknown

Опубликована: Март 27, 2025

Abstract Gold nanoparticles (AuNPs) have gained prominence as versatile nanoscale building blocks in chemical and biomedical research. Liquid crystals (LCs) offer a promising composite matrix for fundamental research variety of applications. However, optimizing the solubility AuNPs within LC remains challenging due to interplay multiple experimental variables, necessitating extensive combinatorial trials. In this study, an automated AuNP synthesis platform combined with Design Experiment (DoE) framework was employed streamline optimization process. A random forest model, trained on relatively small dataset, successfully predicted nanoparticle aggregate classifications high accuracy. Aggregate behavior further analyzed using UV–vis spectroscopy data processing feature reduction. These steps enhanced closed‐loop workflow by iteratively constructing generalized additive model predicting spectral characteristics. optimized were deployed subsequent experiments temperature‐induced hierarchical assembly driven phase transition thermotropic LC. Computer vision methods used quantify reversibility LC‐AuNP composites during self‐assembly, utilizing entropy values derived from pattern recognition algorithm. This study highlights benefits integrating cross‐disciplinary approaches refine analytical workflows, advancing discovery nanomaterial systems programmable reconfigurable features.

Язык: Английский

Процитировано

0

Engineering Amphiphilic Gold Thiolate Clusters for Enhanced Luminescence and Controlled Assembly DOI Creative Commons

Didarul Islam,

Md. Hafizul Islam

Chemical Physics Impact, Год журнала: 2025, Номер unknown, С. 100877 - 100877

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

Plasmonic nanoarchitectured systems for biomedical application DOI
J. R. Mejía-Salazar, Osvaldo N. Oliveira

Advances in Colloid and Interface Science, Год журнала: 2025, Номер 342, С. 103520 - 103520

Опубликована: Апрель 18, 2025

Язык: Английский

Процитировано

0