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Your search keyword '"Yola, Mehmet Lütfi"' showing total 7 results
Start Over Author "Yola, Mehmet Lütfi" Journal industrial & engineering chemistry research
7 results on '"Yola, Mehmet Lütfi"'

2. l-Phenylalanine-Imprinted Electrochemical Sensor Based on WS2Nanoflowers on N,B-Doped Graphene and Its Application to Milk Samples

Author

Yıldırım, Melike, Bölükbaşı, Ömer Saltuk, Parlak Özer, Zeynep, Polat, İlknur, Atar, Necip, and Yola, Mehmet Lütfi

Abstract

Phenylketonuria (PKU) is a critical disease in the disorder of amino acid metabolism, which mostly emerges in children. The most common method used in PKU treatment is the detection of l-phenylalanine (PHEA) as the biomarker of PKU. In the present work, a new molecularly imprinted electrochemical electrode based on WS2nanoflowers (NFs) on N,B-doped graphene (WS2NFs/N,B-GR) is presented for PHEA assay in milk samples. First of all, WS2NFs/N,B-GR was synthesized via a high-efficiency hydrothermal synthesis. Cyclic voltammetry was applied to the electrochemical cell, including PHEA as a template molecule and pyrrole as a monomer, to form PHEA-imprinted electrochemical electrodes. Then, the structural and morphological features of WS2NFs and WS2NFs/N,B-GR were investigated in detail by various analytical methods. The limit of quantification and limit of detection values were obtained as 1.0 × 10–11and 3.0 × 10–12M, respectively, by a PHEA-imprinted electrochemical electrode. Finally, a PHEA-imprinted electrochemical sensor having a high degree of selectivity, stability, and reusability is presented in the literature for early diagnosis of PKU.

Published
2023
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6. <scp>l</scp>-Phenylalanine-Imprinted Electrochemical Sensor Based on WS2 Nanoflowers on N,B-Doped Graphene and Its Application to Milk Samples

Author

Melike Yıldırım, Ömer Saltuk Bölükbaşı, Zeynep Parlak Özer, İlknur Polat, Necip Atar, Mehmet Lütfi Yola, HKÜ, Sağlık Bilimleri Fakültesi, Beslenme ve Diyetetik Bölümü, Yıldırım, Melike, and Yola, Mehmet Lütfi

Subjects
Synthesised, amino acids, Morphological features, diagnosis, Molecularly imprinted, General Chemical Engineering, graphene, electrochemical sensors, Higher efficiency, nanoflowers, amino acid metabolism, General Chemistry, Milk sample, Analytical method, cyclic voltammetry, Industrial and Manufacturing Engineering, Template molecules, Electrochemical electrodes, hydrothermal synthesis, ITS applications, reusability, tungsten compounds, Structural feature
Abstract

Phenylketonuria (PKU) is a critical disease in the disorder of amino acid metabolism, which mostly emerges in children. The most common method used in PKU treatment is the detection of L-phenylalanine (PHEA) as the biomarker of PKU. In the present work, a new molecularly imprinted electrochemical electrode based on WS2 nanoflowers (NFs) on N,B-doped graphene (WS2 NFs/N,B-GR) is presented for PHEA assay in milk samples. First of all, WS2 NFs/N,B-GR was synthesized via a high-efficiency hydrothermal synthesis. Cyclic voltammetry was applied to the electrochemical cell, including PHEA as a template molecule and pyrrole as a monomer, to form PHEA-imprinted electrochemical electrodes. Then, the structural and morphological features of WS2 NFs and WS2 NFs/N,B-GR were investigated in detail by various analytical methods. The limit of quantification and limit of detection values were obtained as 1.0 × 10-11 and 3.0 × 10-12 M, respectively, by a PHEA-imprinted electrochemical electrode. Finally, a PHEA-imprinted electrochemical sensor having a high degree of selectivity, stability, and reusability is presented in the literature for early diagnosis of PKU. © 2022 American Chemical Society. All rights reserved.

Published
2022

7. Electrochemical Detection of Atrazine by Platinum Nanoparticles/Carbon Nitride Nanotubes with Molecularly Imprinted Polymer

Author

Necip Atar, Mehmet Lütfi Yola, Mühendislik ve Doğa Bilimleri Fakültesi -- Biyomedikal Mühendisliği Bölümü, and Yola, Mehmet Lütfi

Subjects
Water samples, X ray photoelectron spectroscopy, General Chemical Engineering, Potentiometric sensor, Analytical chemistry, High resolution transmission electron microscopy, 02 engineering and technology, Nitride, Platinum nanoparticles, 01 natural sciences, Industrial and Manufacturing Engineering, Nanocomposites, chemistry.chemical_compound, Engineering, Methyldopa | Levodopa | Carbon Electrodes, Carbon nitride, Platinum nano-particles, Graphene oxide, Nanotubes, Quantum dots, 021001 nanoscience & nanotechnology, Glass membrane electrodes, 0210 nano-technology, Scanning electron microscopy, Molecular imprinting polymer, Glassy-carbon electrode, Voltammetric sensor, Materials science, X ray diffraction, Bismuth film electrode, Chemical detection, Chemical, Energy dispersive x-ray analysis (EDX), 010402 general chemistry, Nitrides, X-ray photoelectron spectroscopy, Yarn, Electron microscopy, Electrochemical sensors, High-resolution transmission electron microscopy, Electrodes, Platinum, Solid-phase extraction, Nanocomposite, Herbicides, Characterization studies, Molecularly imprinted polymer, Triazine herbicides, ELectrochemical detection, General Chemistry, Methanol oxidation, Molecularly Imprinted Polymer, 0104 chemical sciences, Electrochemical gas sensor, chemistry, Glassy carbon electrodes, Waste-water, Transmission electron microscopy, Nuclear chemistry
Abstract

WOS: 000405643200003, In this Article, a new electrochemical sensor based on molecular imprinting polymer (MIP) and platinum nanoparticles (Pt NPs)/carbon nitride nanotubes (C3N4 NTs) nanocomposite was developed for atrazine (ATR) analysis. First, the structures of prepared nanocomposites and surfaces were characterized by scanning electron microscopy (SEM), transmission electron microscopy (TEM), X-ray photoelectron spectroscopy (XPS), X-ray diffraction (XRD) and energy dispersive X-ray analysis (EDX). After the characterization studies, ATR-imprinted glassy carbon electrode (GCE) based on Pt NPs/C3N4 NTs nanocomposite was developed by 100 mM phenol containing 25 nM ATR: The linearity range and the detection limit of the molecular imprinted sensor were calculated as 1.0 X 10(-12)-1.0 X 10(-10) and 1.5 X 10(-13) M, respectively. In addition, the voltammetric sensor was applied to wastewater samples with high recovery.

Published
2017

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