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    Antimicrobial, anti-biofouling, antioxidant, and biocompatible fabrics with high durability via green growth of trimetallic nanoparticles
    (Elsevier, 2024) Sahin, Gamze Demirel; Sahin, Furkan; Barlas, Firat Baris; Onses, Mustafa Serdar; Acar, Serap
    There is a high demand for green and sustainable multifunctional fabrics, which find application in a variety of real-life contexts. This study addresses the development of antimicrobial, antioxidant, anti-biofouling and biocompatible fabrics through a one-step, versatile and cost-effective in-situ green growth strategy. Monometallic, bimetallic and trimetallic nanoparticles comprising silver (Ag), copper (Cu) and zinc (Zn) were grown in-situ on fabric surfaces using Sideritis scardica extract. The average size of nanoparticles was 99 +/- 25 nm, 131 +/- 29 nm, 68 +/- 18 nm for Ag, Cu and Zn. The metallic nanoparticles grown on the fabric surface imparted a range of colors to the fabrics, including yellow, brownish and greenish hues. Nanoparticle-decorated fabrics have antimicrobial, antioxidant, anti-biofouling, biocompatibility, and high durability properties. The decoration of fabrics with metallic nanoparticles mediated antimicrobial properties against bacteria (E. coli and S. aureus) and fungi (C. albicans), achieving a reduction of over 99.99 % (Logarithmic reduction>4). Bimetallic and trimetallic Ag and Cu nanoparticles exhibited enhanced antifungal activity in comparison to their monometallic counterparts. The cytotoxic effects of Cu were effectively eliminated through the fabrication of bimetallic nanostructures containing Zn. Notably, the biocompatibility of monometallic and bimetallic combinations involving Ag and Zn exceeded 95 %. The water contact angles of the decorated fabrics ranged from 145 degrees to 153 degrees. The superhydrophobic character of the fabrics prevented pathogen adhesion and inhibited biofilm formation. Moreover, all nanoparticle-decorated fabrics demonstrated antioxidant properties, with radical-scavenging activity ranging from 46 % to 91 %. The fabrics retained their antimicrobial properties against mechanical abrasion, heating and repeated cycles of washing and bending.
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    Practical SERS substrates by spray coating of silver solutions for deep learning-assisted sensitive antigen identification
    (Elsevier B.V., 2025) Sahin, Furkan; Demirel Sahin, Gamze; Camdal, Ali; Akmayan, Ilkgul; Ozbek, Tulin; Acar, Serap; Onses, Mustafa Serdar
    Surface-enhanced Raman spectroscopy (SERS) has long been recognized for its rapid and sensitive detection capabilities; however, challenges persist in practical fabrication of the substrates and interpreting complex data. Herein, we propose a deep learning (DL) assisted SERS approach to enable rapid and sensitive detection of analytes on practical yet highly effective substrates prepared by direct spray-coating of a nanoparticle-free true solution of a reactive Ag ink and on-site thermal annealing mediated generation of nanostructures. This design ensured homogeneous distribution of Ag nanostructures throughout the entire substrate, significantly increasing the number of hotspots and enhancing the Raman signals, thereby achieving an impressive analytical enhancement factor of ∼1010 in a reproducible and consistent manner. The diagnostic utility of this platform was demonstrated by detecting the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike (S) protein in both buffer and saliva, with detection limits of 74.3 pg/mL and 7.43 ng/mL, respectively. The DL-assisted SERS not only accurately identified the presence or absence of viral antigen, but also automatically quantified the viral load. This automatic identification achieved an outstanding accuracy of ∼99.9 %, highlighting the exceptional performance of the proposed platform. This simple, cost-effective, scalable, and ultra-sensitive DL-assisted SERS platform offers significant opportunities for early and precise detection in a range of analytical scenarios. © 2024 Elsevier B.V.