Daniela Dobrynin, Ivan Zlotver, Iryna Polishchuk, Yaron Kauffmann, Sharon Suharenko, Ron Koifman, Lucas Kuhrts, Alexander Katsman, Alejandro Sosnik, Boaz Pokroy
{"title":"Controlled Synthesis of Bimetallic Gold-Silver Nanostars: Atomic Insights and Predictive Formation Model","authors":"Daniela Dobrynin, Ivan Zlotver, Iryna Polishchuk, Yaron Kauffmann, Sharon Suharenko, Ron Koifman, Lucas Kuhrts, Alexander Katsman, Alejandro Sosnik, Boaz Pokroy","doi":"10.1002/smll.202410152","DOIUrl":null,"url":null,"abstract":"The nucleation and growth of bimetallic gold-silver nanostars (GNSs) are investigated to elucidate their atomic-scale formation mechanism. Motivated by the increasing demand for nanomaterials with enhanced optical and catalytic properties, particularly for applications in biosensing, bioimaging, and photothermal therapy, this work focuses on understanding the factors governing GNSs formation. GNSs are synthesized by reducing HAuCl₄ with ascorbic acid in the presence of AgNO₃, exploring the influence of temperature, delay time in AgNO₃ introduction, and AgNO<sub>3</sub> concentration. High-resolution electron microscopy, energy-dispersive X-ray spectroscopy, high-resolution X-ray photoelectron spectroscopy, and synchrotron-based powder X-ray diffraction are used to characterize their morphology, size, composition, and stability. These findings reveal that AgNO₃ promotes anisotropic growth through the formation of metallic Ag and AgCl on GNSs surfaces, leading to thorn-like structures. A detailed analysis of kinetics, particle concentration, and nucleation barriers enables the development of a theoretical model to predict optimal synthesis conditions. This work provides new insights into controlling GNSs morphology and properties, which are critical for optimizing their performance in catalysis, sensing, and biomedical applications. The novelty lies in the discovery of the role of AgCl in directing GNSs growth and the formulation of a predictive model for synthesis optimization.","PeriodicalId":228,"journal":{"name":"Small","volume":"24 1","pages":""},"PeriodicalIF":13.0000,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Small","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1002/smll.202410152","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
The nucleation and growth of bimetallic gold-silver nanostars (GNSs) are investigated to elucidate their atomic-scale formation mechanism. Motivated by the increasing demand for nanomaterials with enhanced optical and catalytic properties, particularly for applications in biosensing, bioimaging, and photothermal therapy, this work focuses on understanding the factors governing GNSs formation. GNSs are synthesized by reducing HAuCl₄ with ascorbic acid in the presence of AgNO₃, exploring the influence of temperature, delay time in AgNO₃ introduction, and AgNO3 concentration. High-resolution electron microscopy, energy-dispersive X-ray spectroscopy, high-resolution X-ray photoelectron spectroscopy, and synchrotron-based powder X-ray diffraction are used to characterize their morphology, size, composition, and stability. These findings reveal that AgNO₃ promotes anisotropic growth through the formation of metallic Ag and AgCl on GNSs surfaces, leading to thorn-like structures. A detailed analysis of kinetics, particle concentration, and nucleation barriers enables the development of a theoretical model to predict optimal synthesis conditions. This work provides new insights into controlling GNSs morphology and properties, which are critical for optimizing their performance in catalysis, sensing, and biomedical applications. The novelty lies in the discovery of the role of AgCl in directing GNSs growth and the formulation of a predictive model for synthesis optimization.
Alison P Galvani, Alyssa S Parpia, Abhishek Pandey, Pratha Sah, Kenneth Colón, Gerald Friedman, Travis Campbell, James G Kahn, Burton H Singer, Meagan C Fitzpatrick
期刊介绍:
Small serves as an exceptional platform for both experimental and theoretical studies in fundamental and applied interdisciplinary research at the nano- and microscale. The journal offers a compelling mix of peer-reviewed Research Articles, Reviews, Perspectives, and Comments.
With a remarkable 2022 Journal Impact Factor of 13.3 (Journal Citation Reports from Clarivate Analytics, 2023), Small remains among the top multidisciplinary journals, covering a wide range of topics at the interface of materials science, chemistry, physics, engineering, medicine, and biology.
Small's readership includes biochemists, biologists, biomedical scientists, chemists, engineers, information technologists, materials scientists, physicists, and theoreticians alike.