2026-10-19T01:07:57Zhttps://ebyu-rdlopen.rawdatalibrary.net/oai/requestoai:ebyu-rdlopen.rawdatalibrary.net:ebyu/153182026-10-18T20:43:08Zopenairedrivercom_ebyu_10000col_ebyu_10001A novel determination of curcumin via Ru@Au nanoparticle decorated nitrogen and sulfur-functionalized reduced graphene oxide nanomaterialsKotan, GülKardaş, FarukYokuş, Özlem AktaşAkyildirim, OnurSaral, HasanEren, TanjuYola, Mehmet LütfiAtar, NecipAmino acidsCarbonChemical detectionDrug productsElectrodesElectron microscopyGlass membrane electrodesGoldGrapheneHigh resolution transmission electron microscopyNanoparticlesScanning electron microscopySulfur determinationSynthesis (chemical)Transmission electron microscopyVoltammetryX ray diffractionDetection limitsEffective surface areaElectrochemical determinationElectrochemical surface areaGlassy carbon electrodesReduced graphene oxidesReduced graphene oxides (RGO)Square wave voltammetryX ray photoelectron spectroscopyWe report the synthesis of Ru@Au nanoparticle involved l-cysteine functionalized reduced graphene oxide (rGO) composites (NSrGO/Ru@AuNPs). The nanocomposites were characterized by transmission electron microscopy (TEM), scanning electron microscopy (SEM), X-ray photoelectron spectroscopy (XPS) and X-ray diffraction (XRD). The electrochemical determination of curcumin (CR) has been studied using square wave voltammetry (SWV) on a glassy carbon electrode (GCE) modified with NSrGO/Ru@AuNP composites (NSrGO/Ru@AuNPs/GCE). The effective surface areas (ESAs) of the rGO/GCE and NSrGO/Ru@AuNPs/GCE were calculated to be 347 cm2 mg-1 and 1289 cm2 mg-1, respectively. These results show that the electrochemical surface area of the NSrGO/Ru@AuNPs/GCE is 3.71 times higher than that of the rGO/GCE. The developed method was also applied successfully for the determination of CR in plasma and the linearity range of CR was 0.001-0.1 nM with a detection limit of 2.0 × 10-13 M. © 2016 The Royal Society of Chemistry.Royal Society of Chemistry2016Articlehttps://rdlopen.rawdatalibrary.net/r/ebyu/15318https://doi.org/10.1039/c5ay02950c1759-9660enAnalytical Methodsinfo:eu-repo/semantics/openAccessinfo:eu-repo/semantics/articlehttps://ebyu-rdlopen.rawdatalibrary.net/tr/items/ebyu/15318