This work describes a bioassisted approach for the preparation of metal nanoparticles using yeast species Hansenula anomala. Gold nanoparticles were prepared using gold salt as the precursor, amine-terminated polyamidoamine dendrimer as the stabilizer, and the extracellular material from H. anomala as the bioreductant. It could also be demonstrated that, using our approach, small molecules such as cysteine can act as stabilizers as well. This synthetic approach offers a greener alternative route to the preparation of gold sols that are devoid of cellular and toxic chemical components. The ability of as-synthesized gold sol to function as biological ink for producing patterns for the analysis of fingerprints and to act as an antimicrobial reagent is evaluated. The generality of this toxin-free synthetic approach to other metals was assessed using palladium and silver.
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http://dx.doi.org/10.1021/am200443j | DOI Listing |
Mikrochim Acta
January 2025
Hebei Lansheng Bio-Tech Co, Ltd, Shijiazhuang, 052263, P. R. China.
A novel fluorescence sensing nanoplatform (CDs/AuNCs@ZIF-8) encapsulating carbon dots (CDs) and gold nanoclusters (AuNCs) within a zeolitic imidazolate framework-8 (ZIF-8) was developed for ratiometric detection of formaldehyde (FA) in the medium of hydroxylamine hydrochloride (NHOH·HCl). The nanoplatform exhibited pink fluorescence due to the aggregation-induced emission (AIE) effect of AuNCs and the internal filtration effect (IFE) between AuNCs and CDs. Upon reaction between NHOH·HCl and FA, a Schiff base formed via aldehyde-diamine condensation, releasing hydrochloric acid.
View Article and Find Full Text PDFAnal Methods
January 2025
School of Pharmacy, Wannan Medical College, Wuhu 241002, China.
A label-free photoelectrochemical (PEC) sensor for detecting theophylline (TP) was exploited based on electrodes modified with a nanocomposite of polydopamine nanospheres (PDSs) and gold nanoparticles (AuNPs). PDS particles were prepared by oxidative autopolymerization, and their reducibility was utilized in one step to reduce the gold nanoparticles . The AuNPs-PDS/ZnS PEC sensor was constructed by electrochemical deposition and drop coating.
View Article and Find Full Text PDFACS Photonics
January 2025
Cardiff University School of Physics and Astronomy, The Parade, Cardiff CF24 3AA, United Kingdom.
The field of chiral nanoparticles is rapidly expanding, yet measuring the chirality of single nano-objects remains a challenging endeavor. Here, we report a technique to detect chiro-optical effects in single plasmonic nanoparticles by means of phase-sensitive polarization-resolved four-wave mixing interferometric microscopy. Beyond conventional circular dichroism, the method is sensitive to the particle polarizability, in amplitude and phase.
View Article and Find Full Text PDFVet World
November 2024
Department of Microbiology and Biotechnology, Faculty of Veterinary and Livestock Technology, S. Seifullin Kazakh Agrotechnical Research University, 62 Zhenis Avenue, Astana 010011, Kazakhstan.
Background And Aim: In animal husbandry, antibiotics are frequently used as growth promoters, as well as for illness prevention and treatment. They are considered important toxic and allergenic contaminants of food and a serious risk factor for the spread of antibiotic resistance. National and international regulatory authorities have established limits on the permissible residue of antibiotics in food.
View Article and Find Full Text PDFACS Omega
January 2025
Nanotechnology, IoT and Applied Machine Learning Research Group, BRAC University, Kha 224 Bir Uttam Rafiqul Islam Avenue, Merul Badda, Dhaka 1212, Bangladesh.
Nanoparticles embedded in polymer matrices play a critical role in enhancing the properties and functionalities of composite materials. Detecting and quantifying nanoparticles from optical images (fixed samples-in vitro imaging) is crucial for understanding their distribution, aggregation, and interactions, which can lead to advancements in nanotechnology, materials science, and biomedical research. In this article, we propose an ensembled deep learning approach for automatic nanoparticle detection and oligomerization quantification in a polymer matrix for optical images.
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