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Yazar "Andaç, Müge" seçeneğine göre listele

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    Affinity Recognition Based Gravimetric Nanosensor for Equilin Detection
    (MDPI, 30 Mayıs 2022) Aylaz, Gülgün; Andaç, Müge
    The estrogenic hormones that are widely used in postmenopausal hormone supplements for women contaminate natural water resources. Equilin (Equ) is one of the estrogenic hormones that have a maximum contaminant level of 0.35 g/L in the chemical pollutants list. In this study, estrogenic hormones were precisely detected in a short time by affinity-recognition-based interactions in Quartz Crystal Microbalance (QCM) sensors. The QCM sensors were modified with 11-mercaptoundecanoic acid forming a self-assembled monolayer and with amino acids, namely tyrosine, tryptophan and phenylalanine. The affinity interactions between Equ and amino acids were studied using docking tools and confirmed by QCM experiments. The LODs of Equ were obtained as 4.59, 5.05 and 6.30 ng/L for tyrosine-, tryptophan- and phenylalanine-modified QCM nanosensors, respectively, with linear dynamic detection in the range of 25–500 nM. In terms of the LOD, selectivity and sensitivity calculations, the tyrosine-modified QCM nanosensor was found to have the highest performance for Equ detection compared to the tryptophan- and phenylalanine-modified ones.
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    Molecularly Designed Ion-Imprinted Nanoparticles for Real-Time Sensing of Cu(II) Ions Using Quartz Crystal Microbalance
    (MDPI, 5 Kasım 2022) Aydoğan, Nihan; Aylaz, Gülgün; Bakhshpour, Monireh; Tugsuz, Tugba; Andaç, Müge
    A molecularly designed imprinting method was combined with a gravimetric nanosensor for the real-time detection Cu(II) ions in aqueous solutions without using expensive laboratory devices. Thus, 1:1 and 2:1 mol-ratio-dependent coordination modes between Cu(II), N-methacyloly-L histidine methyl ester (MAH) functional monomer complexes, and their four-fold and six-fold coordinations were calculated by means of density functional theory molecular modeling. Cu(II)-MIP1 and Cu(II)- MIP2 nanoparticles were synthesized in the size range of 80–100 nm and characterized by SEM, AFM and FTIR. Cu(II)-MIP nanoparticles were then conducted to a quartz crystal microbalance sensor for the real-time detection of Cu(II) ions in aqueous solutions. The effects of initial Cu(II) concentration, selectivity, and imprinting efficiency were investigated for the optimization of the nanosensor. Linearity of 99% was obtained in the Cu(II) ion linear concentration range of 0.15–1.57 M with high sensitivity. The LOD was obtained as 40.7 nM for Cu(II)-MIP2 nanoparticles. The selectivity and the imprinting efficiency of the QCM nanosensor were obtained significantly in the presence of competitive ion samples (Co(II), Ni(II), Zn(II), and Fe(II)). The results are promising for sensing Cu(II) ions as environmental toxicants in water by combining molecularly designed ion-imprinted nanoparticles and a gravimetric sensor.
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    Molecularly imprinted composite discs for transferrin recognition
    (Taylor and Francis, 2022) Aylaz, Gülgün; Zenger, Okan; Baydemir Peşint, Gözde; Andaç, Müge
    Human Transferrin (HTr) imprinted composite cryogel (HTr-MIPCC) discs were synthesized with distinctive structure and increased adsorption capacity and specificity for HTr by combining the advantages of the surface imprinting technique. HEMA-based cryogel was embedded with HTrsurface imprinted particles. Thanks to the imprinted particles embedding, both the higher surface area and specific recognition are provided. The structure of the HTr-MIPCC was characterized by FTIR Spectrometer, SEM, swelling studies, flow dynamics, and surface area measurements. The addition of surface imprinted particles into the cryogel disc has resulted in an increased surface area, enhancing the capacity of composite cryogel for HTr adsorption up to 10.96 mg/g and gel fractionation yields reached up to 83%. Selectivity studies were carried out against HIgG and HSA as competitors. The HTr-MIPCC discs were packaged into an FPLC column for selective depletion of HTr. It was calculated that the HTr-MIPCC is 1.071 and 1.062 times selective for HTr than HSA and HIgG, respectively. According to FPLC studies HTr-MIPCC can be considered as an excellent alternative for affinity matrixes used for the detection and selective recognition of HTr directly from human serum. HTr-MIPCC discs can be used several times without any noteworthy reduction in the adsorption capacity of HTr

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