Yazar "Ahmadipour, Mohsen" seçeneğine göre listele

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    CuO/Cu/rGO nanocomposite anodic titania nanotubes for boosted non-enzymatic glucose biosensors
    (Royal Soc Chemistry, 2023) Chahrour, Khaled M.; Ooi, Poh Choon; Nazeer, Ahmed Abdel; Al-Hajji, Latifa A.; Jubu, Peverga R.; Dee, Chang Fu; Ahmadipour, Mohsen
    Highly arranged porous anodic titania (TiO2) nanotube arrays (ATNT) were fruitfully fabricated by the anodization of Ti foil in an ammonium fluoride electrolyte. Then, the CuO/Cu nanoparticles were consistently decorated onto the porous ATNT surface through electrochemical deposition and afterward impregnated into graphene oxide (GO) aqueous solution to produce CuO/Cu/GO-ATNT, which was then electrochemically reduced to form CuO/Cu/rGO nanocomposite ATNT electrode. The microstructures, morphologies, and chemical elements were investigated using XRD and FESEM techniques linked with EDS and XPS, respectively. The as-fabricated CuO/Cu/rGO nanocomposite ATNT electrode was utilized for non-enzymatic glucose sensing in a neutral electrolyte and exhibited superior electro-catalytic activity compared with the pristine and CuO/Cu nanoparticle ATNT electrodes. The electrocatalysis performance of the recommended CuO/Cu/rGO nanocomposite ATNT electrode was inspected and optimized. The experimental results exposed an effective amperometric electrode of glucose acquired under 0.6 V vs. Ag/AgCl with an excellent sensitivity of (371.6 mu A mM(-1) cm(-2)), a low detection limit (22.8 mu M), and a wide linear range from 0.5 mM to 16 mM (R-2 = 0.9992). This designed non-enzymatic glucose biosensor demonstrated high stability, reproducible, and selective biosensor. Hence, this endorses its promising technique for the detection of glucose samplers for clinical and pharmaceutical diagnoses.
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    Detection of breath acetone by semiconductor metal oxide nanostructures-based gas sensors: A review
    (Elsevier Sci Ltd, 2022) Ahmadipour, Mohsen; Pang, Ai Ling; Ardani, Mohammad Rezaei; Pung, Swee-Yong; Ooi, Poh Choon; Hamzah, Azrul Azlan; Wee, M. F. Mohd Razip
    Diabetes mellitus (DM), an ailment caused by unregulated blood sugar levels, can lead to the failure of more than one organ in patients. Currently, blood tests are being conducted in scientific trials to analyse and track blood sugar and ketone levels. In this method, a drop of blood from a pricked finger is placed on a sensitive strip area, which is then pre-inserted into an electronic device to be analysed. However, this method is painful, invasive, and costly, which can be unsafe if not handled properly. Human breath analysis is a rapid and non-invasive approach for detecting different volatile organic compounds (VOCs), which could be indicators of various illnesses. In patients with DM, the body produces excessive amounts of ketones together with acetoacetate, beta-hydroxybutyrate (BOHB), and acetone. Acetone is exhaled in the breath. It is produced when the body metabolizes fat, instead of glucose, for energy. Conventional exhalation analysis techniques are based entirely on spectrometric strategies; however, they are becoming increasingly appealing from a clinical point of view with the advancement of gas sensors. This study describes modern-day improvements to semiconductor metal oxide (SMO) gas sensors for the detection of exhaled acetone. Since 2011, all the sensor materials have been used to detect low concentrations of acetone gas (0.1 ppm-20 ppm). Several parameters that affect the performance of the sensor device are mentioned in detail, including the composite materials, morphology, doping, temperature, humidity, acetone concentration, and stability of the sensor. Finally, the applicability of the sensor is discussed.