Ehsan Mahmoudi - Academia.edu (original) (raw)
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Papers by Ehsan Mahmoudi
Bioelectrochemistry, 2019
High-performance electrochemical enzyme sensor for organophosphate pesticide detection using modi... more High-performance electrochemical enzyme sensor for organophosphate pesticide detection using modified metal-organic framework sensing platforms
Microchemical Journal, 2019
BSA templated Au-Cu bimetallic nanoclusters (Au-Cu@BSA) were synthesized. The characteristics of ... more BSA templated Au-Cu bimetallic nanoclusters (Au-Cu@BSA) were synthesized. The characteristics of the prepared bimetallic nanoclusters were demonstrated by UV-Vis absorption, fluorescence spectrometry and transmission electron microscopy. The Au-Cu@BSA was mixed by graphene nanoribbons (GNRs) and Au-Cu@BSA-GNRs was applied as a modifier of glassy carbon electrode (GCE). Also, the properties of the prepared sensors were investigated by cyclic voltammetry, square wave anodic stripping voltammetry and electrochemical impedance spectroscopy. Au-Cu@BSA-GNRs/GCE was employed for the low cost, high efficiency, rapid, selective and sensitive determination of bisphenol A (BPA) as an effective sensing layer of the electrochemical sensor. Upon the optimization of chemical and instrumental parameters, including pH, deposition potential and time, the oxidation peak current was linearly dependent on the concentration of BPA. The dynamic ranges of BPA were linear between 0.01 to 2.0 and 2.0 to 70 µmol L-1 , with a limit of detection 0.004 µmol L-1. The Au-Cu@BSA-GNRs/GCE has high selectivity, stability, repeatability, and reproducibility. These results suggest that the constructed sensor has an excellent capacity as an alternative to routine analysis methods for the determination of BPA. The constructed electrode was used for electrochemical determination of BPA in tap water, bottled water, baby bottle and food storage container by the standard addition method. The obtained results indicate the ability of the proposed method to detect BPA in different real sample matrices.
Journal of Offshore Mechanics and Arctic Engineering, 2019
The Deepwater Horizon Mobile Offshore Drilling Unit (MODU) was one of several classes of floatabl... more The Deepwater Horizon Mobile Offshore Drilling Unit (MODU) was one of several classes of floatable drilling systems. The explosion on April 20, 2010 led to fatalities and the worst oil spill in the U.S. We present an independent estimate of the oil-flow rate into The Gulf caused by the drill-pipe rupture. We employed the NASA Moderate-Resolution Imaging-Spectroradiometer (MODIS) satellite photographs, starting from the days immediately following the disaster, to determine the magnitude of spill. From these images, we obtained the surface area of the spill and calculated the oil flow rate by two different methods based on contrasting luminance within that area. The first assumes a constant thickness for the total area with upper and lower bounds for the thickness. The second separates the area into different patches based on the luminance levels of each. The probability density function (PDF) of such luminance plots showed natural groupings, allowing patches be identifiable. Each pat...
Bioelectrochemistry, 2019
High-performance electrochemical enzyme sensor for organophosphate pesticide detection using modi... more High-performance electrochemical enzyme sensor for organophosphate pesticide detection using modified metal-organic framework sensing platforms
Microchemical Journal, 2019
BSA templated Au-Cu bimetallic nanoclusters (Au-Cu@BSA) were synthesized. The characteristics of ... more BSA templated Au-Cu bimetallic nanoclusters (Au-Cu@BSA) were synthesized. The characteristics of the prepared bimetallic nanoclusters were demonstrated by UV-Vis absorption, fluorescence spectrometry and transmission electron microscopy. The Au-Cu@BSA was mixed by graphene nanoribbons (GNRs) and Au-Cu@BSA-GNRs was applied as a modifier of glassy carbon electrode (GCE). Also, the properties of the prepared sensors were investigated by cyclic voltammetry, square wave anodic stripping voltammetry and electrochemical impedance spectroscopy. Au-Cu@BSA-GNRs/GCE was employed for the low cost, high efficiency, rapid, selective and sensitive determination of bisphenol A (BPA) as an effective sensing layer of the electrochemical sensor. Upon the optimization of chemical and instrumental parameters, including pH, deposition potential and time, the oxidation peak current was linearly dependent on the concentration of BPA. The dynamic ranges of BPA were linear between 0.01 to 2.0 and 2.0 to 70 µmol L-1 , with a limit of detection 0.004 µmol L-1. The Au-Cu@BSA-GNRs/GCE has high selectivity, stability, repeatability, and reproducibility. These results suggest that the constructed sensor has an excellent capacity as an alternative to routine analysis methods for the determination of BPA. The constructed electrode was used for electrochemical determination of BPA in tap water, bottled water, baby bottle and food storage container by the standard addition method. The obtained results indicate the ability of the proposed method to detect BPA in different real sample matrices.
Journal of Offshore Mechanics and Arctic Engineering, 2019
The Deepwater Horizon Mobile Offshore Drilling Unit (MODU) was one of several classes of floatabl... more The Deepwater Horizon Mobile Offshore Drilling Unit (MODU) was one of several classes of floatable drilling systems. The explosion on April 20, 2010 led to fatalities and the worst oil spill in the U.S. We present an independent estimate of the oil-flow rate into The Gulf caused by the drill-pipe rupture. We employed the NASA Moderate-Resolution Imaging-Spectroradiometer (MODIS) satellite photographs, starting from the days immediately following the disaster, to determine the magnitude of spill. From these images, we obtained the surface area of the spill and calculated the oil flow rate by two different methods based on contrasting luminance within that area. The first assumes a constant thickness for the total area with upper and lower bounds for the thickness. The second separates the area into different patches based on the luminance levels of each. The probability density function (PDF) of such luminance plots showed natural groupings, allowing patches be identifiable. Each pat...