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Marmara Üniversitesi Sosyal Bilimler Meslek OKULU

Researcher at Marmara University

Publications -  11
Citations -  288

Marmara Üniversitesi Sosyal Bilimler Meslek OKULU is an academic researcher from Marmara University. The author has contributed to research in topics: Chemistry & Detection limit. The author has an hindex of 9, co-authored 11 publications receiving 288 citations.

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UiO-66 Metal-Organic Frameworks in Water Treatment: A Critical Review

TL;DR: In this paper, a review of the latest efforts in applying UiO-66 MOFs as superior water-stable MOFs for efficient removal (adsorption/separation and degradation/reduction) of various water pollutants, including organic dyes, heavy metal ions, pharmaceuticals and personal care products, phosphate, and fluoride.
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UiO-66 metal–organic frameworks in water treatment: A critical review

TL;DR: In this article , a review of the latest efforts in applying UiO-66 MOFs as superior water-stable MOFs for efficient removal (adsorption/separation and degradation/reduction) of various water pollutants, including organic dyes, heavy metal ions, pharmaceuticals and personal care products, phosphate, and fluoride.
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Coordination chemistry of metal–organic frameworks: Detection, adsorption, and photodegradation of tetracycline antibiotics and beyond

TL;DR: In this article , metal-organic frameworks (MOFs) have been used for the detection and removal of tetracycline antibiotics from aqueous matrices, which are known to generate antibiotic resistance along with estrogenic and other toxic effects.
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Ultrasensitive early detection of insulin antibody employing novel electrochemical nano-biosensor based on controllable electro-fabrication process.

TL;DR: In this article, an ultrasensitive novel electrochemical nano-biosensor for rapid detection of insulin antibodies against diabetes antigens was developed in a research process based on the optimized sequential electropolymerization of polyaniline and electrodeposition of gold nanoparticles on the surface of the functionalized gold electrode.
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Ultrasensitive early detection of insulin antibody employing novel electrochemical nano-biosensor based on controllable electro-fabrication process

TL;DR: In this paper , an ultrasensitive novel electrochemical nano-biosensor for rapid detection of insulin antibodies against diabetes antigens was developed in order to predict the development of type 1 diabetes in individuals who do not have diabetes but are genetically predisposed.