سوابق علمی - اجرائی

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مراتب علمی

  • دانشيار1391

    گروه آموزشی شیمی

  • استاد1393

    گروه آموزشی شیمی

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مرتب سازی:

نمایش:

SILVER NANOPARTICLES ATTACHED TO SILICA GEL AS A NEW SOLID PHASE ADSORBENT FOR PRECONCENTRATION AND DETERMINATION OF IRON FROM BIOLOGICAL SAMPLES

Mostafa Khajeh
ثبت نشده , ثبت نشده , Year : 2012 , Pages: 788-792, ISSN: Journal Paper

Abstract

Application of artificial neural network in predicting the extraction yield of essential oils of Diplotaenia cachrydifolia by supercritical fluid extraction

Mostafa Khajeh
ثبت نشده , ثبت نشده , Year : 2012 , Pages: 91-96, ISSN: Journal Paper

Abstract

Synthesis, characterization and removal of lead from water samples using lead-ion imprinted polymer

Mostafa Khajeh
ثبت نشده , ثبت نشده , Year : 2011 , Pages: 1158-1163, ISSN: Journal Paper

Abstract

Response surface modelling of lead pre-concentration from food samples by miniaturised homogenous liquid–liquid solvent extraction: Box–Behnken design

Mostafa Khajeh
ثبت نشده , ثبت نشده , Year : 2011 , Pages: 1832-1838, ISSN: Journal Paper

Abstract

Optimization of process variables for essential oil components from Satureja hortensis by supercritical fluid extraction using Box-Behnken experimental design

Mostafa Khajeh
ثبت نشده , ثبت نشده , Year : 2011 , Pages: 944-948, ISSN: Journal Paper

Abstract

Evaluating the Effects of Fertilizers on Bioavailable Metallic Pollution of soils, Case study of Sistan farms, Iran

Mostafa Khajeh
ثبت نشده , ثبت نشده , Year : 2012 , Pages: 565-570, ISSN: Journal Paper

Abstract

Comparison of response surface methodology and artificial neural network in predicting the microwave-assisted extraction procedure to determine zinc in fish muscles

Mostafa Khajeh
ثبت نشده , Food and Nutritio Science , Year : 2011 , Pages: 803-808, ISSN:2157-944X Journal Paper

Abstract

Optimization of microwave-assisted extraction procedure to determine metal in fish muscles using Box–Behnken design

Mostafa Khajeh
ثبت نشده , ثبت نشده , Year : 2011 , Pages: 431-436, ISSN: Journal Paper

Abstract

Imprinted polymer particles for preconcentration of copper from water and biological samples

Mostafa Khajeh
ثبت نشده , ثبت نشده , Year : 2011 , Pages: 177-183, ISSN: Journal Paper

Abstract

Silver Nanoparticles as a New Solid-Phase Adsorbent and Its Application to Preconcentration and Determination of Lead from Biological Samples

Mostafa Khajeh
ثبت نشده , ثبت نشده , Year : 2011 , Pages: 1856-1864, ISSN: Journal Paper

Abstract

A pre-concentration procedure employing a new imprinted polymer for the determination of copper in water

Mostafa Khajeh
ثبت نشده , ثبت نشده , Year : 2011 , Pages: 1310-1319, ISSN: Journal Paper

Abstract

Magnetic nanoparticles as sorbent for preconcentration and determination of lead in fish and water samples

Mostafa Khajeh
ثبت نشده , ثبت نشده , Year : 2011 , Pages: 414-420, ISSN: Journal Paper

Abstract

Optimisation of supercritical fluid extraction of essential oil components of Diplotaenia cachrydifolia: Box–Behnken design

Mostafa Khajeh
ثبت نشده , ثبت نشده , Year : 2012 , Pages: 1926-1930, ISSN: Journal Paper

Abstract

Multivariate optimization of microwave-assisted digestion of copper and zinc from powder milk

Mostafa Khajeh
ثبت نشده , ثبت نشده , Year : 2012 , Pages: 1704-1711, ISSN: Journal Paper

Abstract

Response Surface Modeling of Ultrasound-Assisted Dispersive Liquid–Liquid Microextraction for Determination of Benzene, Toluene and Xylenes in Water Samples: Box–Behnken Design

Mostafa Khajeh
ثبت نشده , ثبت نشده , Year : 2012 , Pages: 38-43, ISSN: Journal Paper

Abstract

Multivariate optimization of microwave-assisted extraction of zinc and copper from soybean

Mostafa Khajeh
ثبت نشده , ثبت نشده , Year : ثبت نشده , Pages: -, ISSN: Journal Paper

Abstract

Pre-concentration of trace amounts of manganese in water samples based on (1-(2-pyridylazo)-2-naphthol) modified magnetic nanoparticles

Mostafa Khajeh
ثبت نشده , ثبت نشده , Year : 2012 , Pages: 613-619, ISSN: Journal Paper

Abstract

Application of Modified Organo-Nanoclay as the Sorbent for Zinc Determination by FAAS: An Optimization Study of an Online Pre-concentration System

مصطفی خواجه
ثبت نشده ، ثبت نشده ، سال : 2012 ، صفحات : 118-125، شاپا: مقاله در مجله

چکیده

Optimization of process variables for extraction of zinc, copper and iron by microwaveassisted extraction from pistachio nut using response surface methodology

Mostafa Khajeh
ثبت نشده , ثبت نشده , Year : 2012 , Pages: 263-269, ISSN: Journal Paper

Abstract

Response Surface Modeling of Essential Oil Components from Mentha piperita by Supercritical Fluid Extraction: Box-Behnken Experimental Design

Mostafa Khajeh
ثبت نشده , ثبت نشده , Year : ثبت نشده , Pages: 731-738, ISSN: Journal Paper

Abstract

Comparison of response surface methodology and artificial neural network in predicting the microwave-assisted extraction procedure to determine zinc in fish muscles.

Mansour Ghaffari Moghaddam,Mostafa Khajeh
ثبت نشده , Food and Nutritio Science , Year : 2011 , Pages: 803-808, ISSN:2157-944X Journal Paper

Abstract

Optimization of Microwave Extraction for Determination of Iron and Manganese in Cereal Flour Using FAAS: Doehlert Design

Mansour Ghaffari Moghaddam,Mostafa Khajeh
Russia , Russian Agricultural Sciences , Year : 2012 , Pages: 275-280, ISSN:1068-3674 Journal Paper

Abstract

Response surface modeling of betulinic acid pre-concentration from medicinal plant samples by miniaturized homogenous liquid-liquid extraction and its determination by high performance liquid chromatography

Mansour Ghaffari Moghaddam,Mostafa Khajeh,,بهروز خواجه
ثبت نشده , ثبت نشده , Year : ثبت نشده , Pages: -, ISSN: Journal Paper

Abstract

Molecularly imprinted stir bar sorptive extraction coupled with atomic absorption spectrometry for trace analysis of copper in drinking water samples

Mostafa Khajeh
ثبت نشده , ثبت نشده , Year : 2013 , Pages: 2778-2788, ISSN: Journal Paper

Abstract

Modelling of solid-phase tea waste extraction for the removal of manganese from food samples by using artificial neural network approach

Mostafa Khajeh
ثبت نشده , ثبت نشده , Year : 2013 , Pages: 712-717, ISSN: Journal Paper

Abstract

ARTIFICIAL NEURAL NETWORK APPROACH FOR MODELING COBALT EXTRACTION FROM BIOLOGICAL AND WATER SAMPLES BY MAGNETIC NANOPARTICLES

Mostafa Khajeh
ثبت نشده , ثبت نشده , Year : 2013 , Pages: 418-426, ISSN: Journal Paper

Abstract

Application of PSO-artificial neural network and response surface methodology for removal of methylene blue using silver nanoparticles from water samples

Mostafa Khajeh
ثبت نشده , ثبت نشده , Year : 2013 , Pages: 1624-1630, ISSN: Journal Paper

Abstract

Combination of ACO-artificial neural network method for modeling of manganese and cobalt extraction onto nanometer SiO2 from water samples

Mostafa Khajeh
ثبت نشده , ثبت نشده , Year : 2013 , Pages: 2100-2107, ISSN: Journal Paper

Abstract

Iranian Rhus coriaria (sumac) Essential Oils Extraction

Mostafa Khajeh
ثبت نشده , ثبت نشده , Year : 2013 , Pages: 270-273, ISSN: Journal Paper

Abstract

Homogenous Liquid_Liquid Microextraction for Determination

Mostafa Khajeh
Russia , Russian Agricultural Sciences , Year : 2013 , Pages: 371-374, ISSN:1068-3674 Journal Paper

Abstract

Nanoadsorbents: Classification, Preparation, and Applications (with Emphasis on Aqueous Media)

Mostafa Khajeh
ثبت نشده , ثبت نشده , Year : 2013 , Pages: 7728-7768, ISSN: Journal Paper

Abstract

Application of response surface modeling in the development of a microwave assisted extraction method for determination of multielemental determination in bean samples

Mostafa Khajeh
ثبت نشده , ثبت نشده , Year : 2014 , Pages: 194-200, ISSN: Journal Paper

Abstract

Particle swarm optimization–artificial neural network modeling and optimization of leachable zinc from flour samples by miniaturized homogenous liquid–liquid microextraction

Mostafa Khajeh
ثبت نشده , ثبت نشده , Year : 2014 , Pages: 32-38, ISSN: Journal Paper

Abstract

Application of cuckoo optimization algorithm–artificial neural network method of zinc oxide nanoparticles–chitosan for extraction of uranium from water samples

Mostafa Khajeh
ثبت نشده , ثبت نشده , Year : 2014 , Pages: 70-75, ISSN: Journal Paper

Abstract

Synthesis of zinc oxide nanoparticles–chitosan for extraction of methyl orange from water samples: Cuckoo optimization algorithm–artificial neural network

Mostafa Khajeh
ثبت نشده , ثبت نشده , Year : 2014 , Pages: 189-194, ISSN: Journal Paper

Abstract

Application of ANN-GA in the Development of a Microwave Assisted Extraction Method for Determination of Multi-elemental Determination in Tea Samples

Mostafa Khajeh
ثبت نشده , ثبت نشده , Year : 2014 , Pages: 16-21, ISSN: Journal Paper

Abstract

Application of hollow cylindrical wheat stem for electromembrane extraction of thorium in water samples

Mostafa Khajeh
ثبت نشده , ثبت نشده , Year : 2014 , Pages: 328-332, ISSN: Journal Paper

Abstract

Separation of organic acid compounds from biological samples by zinc oxide nanoparticles– chitosan using genetic algorithm based on response surface methodology and artificial neural network

Mostafa Khajeh
ثبت نشده , ثبت نشده , Year : 2014 , Pages: 539-547, ISSN: Journal Paper

Abstract

Removal of molybdenum using silver nanoparticles from water samples: Particle swarm optimization–artificial neural network

Mostafa Khajeh
ثبت نشده , ثبت نشده , Year : 2014 , Pages: 3014-3018, ISSN: Journal Paper

Abstract

Matrix solid-phase dispersion with chitosan-zinc oxide nanoparticles combined with flotation-assisted dispersive liquid–liquid microextraction for the determination of 13 n-alkanes in soil samples

Mostafa Khajeh
ثبت نشده , ثبت نشده , Year : 2014 , Pages: 3292-3298, ISSN: Journal Paper

Abstract

Pre-concentration of uranium from water samples by dispersive liquid–liquid micro-extraction

Mostafa Khajeh
ثبت نشده , ثبت نشده , Year : 2014 , Pages: 887-893, ISSN: Journal Paper

Abstract

Silver nanoparticles for separation and preconcentration processes

Mostafa Khajeh
ثبت نشده , ثبت نشده , Year : 2014 , Pages: 118-126, ISSN: Journal Paper

Abstract

Response surface modeling of betulinic acid pre-concentration from medicinal plant samples by miniaturized homogenous liquid–liquid extraction and its determination by high performance liquid chromatography

Mostafa Khajeh
ثبت نشده , ثبت نشده , Year : 2015 , Pages: 400-406, ISSN: Journal Paper

Abstract

Chitosan–Zinc Oxide Nanoparticles Combined with Dispersive Liquid–Liquid Microextraction for the Determination of BTEX in Water Samples

Mostafa Khajeh
ثبت نشده , ثبت نشده , Year : 2015 , Pages: 481-487, ISSN: Journal Paper

Abstract

MAGNETIC MOLECULARLY IMPRINTED POLYMER NANOPARTICLES FOR SELECTIVE EXTRACTION OF COPPER FROM AQUEOUS SOLUTIONS PRIOR TO ITS FLAME ATOMIC ABSORPTION DETERMINATION

Mostafa Khajeh
ثبت نشده , ثبت نشده , Year : 2015 , Pages: 1162-1166, ISSN: Journal Paper

Abstract

Dispersive solid phase extraction combined with dispersive liquid–liquid extraction for the determination of BTEX in soil samples: ant colony optimization–artificial neural network

Mostafa Khajeh
ثبت نشده , ثبت نشده , Year : 2015 , Pages: 245-252, ISSN: Journal Paper

Abstract

Box-Behnken design in modeling of solid-phase tea waste extraction for the removal of uranium from water samples

Mostafa Khajeh
ثبت نشده , ثبت نشده , Year : 2015 , Pages: 379-384, ISSN: Journal Paper

Abstract

MOLECULARLY IMPRINTED POLYMERS FOR STIR BAR SORPTIVE EXTRACTION: SYNTHESIS, CHARACTERIZATION, AND APPLICATION

Mostafa Khajeh
ثبت نشده , ثبت نشده , Year : 2015 , Pages: 1815-1829, ISSN: Journal Paper

Abstract

Optimization of magnetic nanoparticle procedure for copper in food samples by Box-Behnken design

Mostafa Khajeh
ثبت نشده , ثبت نشده , Year : 2015 , Pages: 1-11, ISSN: Journal Paper

Abstract

Electromembrane Extraction of Organic Acid Compounds in Biological Samples Followed by High-Performance Liquid Chromatography

Mostafa Khajeh
ثبت نشده , ثبت نشده , Year : 2015 , Pages: 1217-1221, ISSN: Journal Paper

Abstract

Modeling of Dispersive Liquid–Liquid Microextraction for Determination of Essential Oil from Borago officinalis L. By Using Combination of Artificial Neural Network and Genetic Algorithm Method

Mostafa Khajeh
ثبت نشده , ثبت نشده , Year : 2015 , Pages: 1801-1807, ISSN: Journal Paper

Abstract

Use of response surface methodology in the optimization of the microwave assisted extraction method for determination of multielements in Brassica oleracea var. capitata (cabbage) samples

Mostafa Khajeh
ثبت نشده , ثبت نشده , Year : 2015 , Pages: 550-556, ISSN: Journal Paper

Abstract

Synthesis of UiO-66-OH zirconium metal-organic framework and its application for selective extraction and trace determination of thoriumin water samples by spectrophotometry

Massoud Kaykhaii,Zahra Safaei Moghaddam,Mostafa Khajeh,َAli Reza Oveisi
Netherlands , Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy , Year : 2018 , Pages: 76-82, ISSN:1386-1425 Journal Paper

Abstract

In this study, a zirconium-based metal-organic framework (Zr-MOF), named UiO-66-OH, was synthesized by the solvo-thermal method and characterized by Fourier transform-infrared spectroscopy (FTIR), powder X-ray diffraction (PXRD), and scanning electron microscopy (SEM). This Zr-MOF was then employed as a sorbent for selective extraction and preconcentration of thorium ions after their complexation with 2 (2,4 dihydroxyphenyl) 3,5,7 trihydroxychromen 4 one (morin) from environmental water samples prior to its spectrophotometrical determination. The experimental parameters affecting extraction, such as pH of sample solution, amount of Zr-MOF, type and volume of eluting solvent, adsorption and desorption time, and concentration of complexing agent were evaluated and optimized. Under the optimized conditions, an enrichment factor of 250 was achieved. The limit of detection was calculated to be 0.35 μg·L−1 with a linear range between 10 and 2000 μg·L−1of thorium. Themaximumsorption capacity ofMOF toward thorium was found to be 47.5 mg·g−1. The proposed procedure was successfully applied to the analysis of real water samples.

Iron species supported on a mesoporous zirconium metal-organic framework for visible light driven synthesis of quinazolin-4(3H)-ones through one-pot three-step tandem reaction

َAli Reza Oveisi,,Mansour Ghaffari Moghaddam,Mostafa Khajeh,
USA , Journal of Colloid and Interface Science , Year : 2019 , Pages: 214-226, ISSN:0021-9797 Journal Paper

Abstract

A bioinspired iron(III)porphyrinic Zr-MOF, PCN-222(Fe), was modified by post-synthetic cluster metalation with iron(III) chloride, as a cheap, earth-abundant, and environmentally friendly metal precursor, towards formation a new multifunctional MOF, namely Fe@PCN-222(Fe). The MOF consists of bimetallic (Zr-oxo-Fe) nodes linked by Fe(III)porphyrin struts. The cluster metalation and pre-activation treatment of PCN-222(Fe) were performed cooperatively using the FeCl3. The respective MOF was characterized through various techniques, such as FT-IR, PXRD, ICP-AES, BET surface area, SEM, UV–Vis DRS, TGA/ DSC, PL, and XPS analyses. The solid showed catalytic activity for one-pot tandem synthesis of quinazolin-4(3H)-ones from alcohols and 2-aminobenzamide through a three-consecutive-step reaction (oxidation-cyclization-oxidation) under visible light irradiation using air or oxygen without adding any additive. In addition, its catalytic performance was superior to that of the bare PCN-222(Fe) and the corresponding homogeneous catalysts. The experiments indicate that the solid MOF acts as both a photoredox and Lewis acid catalyst. Hot-filtration and Fe-leaching tests as well as reusability experiments confirm that the nominal MOF acts as an efficient reusable heterogeneous catalyst for at least three runs without significant decrease in its activity. This work demonstrates the potential of using MOFs as supports for single-site metal species towards preparation of multifunctional MOFs for modern organic transformations combining photocatalysis and catalysis.

A hybrid material composed of an amino-functionalized zirconium-based metal-organic framework and a urea-based porous organic polymer as an efficient sorbent for extraction of uranium(VI)

َAli Reza Oveisi,,Mostafa Khajeh,Mansour Ghaffari Moghaddam,Saba Daliran
Austria , Microchimica Acta , Year : 2018 , Pages: 469-477, ISSN:0026-3672 Journal Paper

Abstract

An amino-functionalized zirconium metal-organic framework was composed with a 3D urea-based porous organic polymer to give a hybrid material termed UiO-66-NH2/urea-POP. The material was characterized by Fourier transform infrared spectroscopy, powder X-ray diffraction, scanning electron microscopy, and Brunauer-Emmett-Teller surface area measurements. It is shown to be a viable sorbent for solid-phase extraction of uranium from water samples. Parameters such as the pH value of the sample, amount of adsorbent, type and volume of eluent, adsorption and desorption time, and sample volume were optimized. Uranyl ion was quantified by using UV-vis spectrophotometry by using 1-(2- pyridyl-azo)-2-naphthol as the indicator. Figures of merits include (a) a maximum sorption capacity of 278 mg g−1; (b) a detection limit of 0.6 μg L−1; and (c) intra-day and inter-day precisions (for n = 5 at a concentration of 100 μg L−1) of 4.8 and 1.9%, respectively. The sorbent can be recycled, and no significant change was observed in the capacity and repeatability of the sorbent after seven extractions. The high surface area, metal-binding sites, and stability of the sorbent makes it a most viable tool for efficient and fast extraction and removal of uranium.

Urea-based porous organic polymer/graphene oxide hybrid as a new sorbent for highly efficient extraction of bovine serum albumin prior to its spectrophotometric determination

َAli Reza Oveisi,,Mostafa Khajeh,
Netherlands , Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy , Year : 2018 , Pages: 200-206, ISSN:1386-1425 Journal Paper

Abstract

A 3D urea-based porous organic polymer (Urea-POP) was prepared via the reaction of tetrakis(4-aminophenyl)methane and 1,4-Phenylene diisocyanate. The polymer was subsequently reacted with 2D layered nanosheets of graphene oxide (GO) to prepare Urea- POP/GO as a novel and highly efficient sorbent for pre-concentration and extraction of serum albumin samples, prior to spectrophotometric determination. The hybrid material combines advantages of both POP and GO such as hydrophilicity, high dispersion stability, porosity, and having a large number of nitrogen- and oxygen-containing functional groups. Parameters which influence the extraction efficiency such as the amount of the adsorbent, pH of sample solution, ionic strength, adsorption and desorption time were investigated and optimized. For the method, detection limit of 0.068 mgL-1 and determination coefficient (R2) of 0.9991 were obtained. The intra- and inter-day was calculated with five replicates in the same day and seven consecutive days, respectively. Intra-day and interday precisions were 1.7% and 5.9%, respectively. The maximum sorption capacity was 357.1 mg g-1, which is higher than the other reported sorbents. The proposed method was demonstrated to be sensitive enough for determination of serum albumin from biosamples.

Determination of Chromium and Nickel in Water Samples by Zinc Oxide Nanoparticle–Chitosan: Equilibrium, Kinetic and Thermodynamic Studies

Mostafa Khajeh,
China , Journal of Analysis and Testing , Year : 2018 , Pages: 1-7, ISSN:2096-241X Journal Paper

Abstract

This study describes the preparation of zinc oxide nanoparticle–chitosan as a solid-phase adsorbent for separation and preconcentration of trace amount of chromium and nickel from environmental water samples and their determination by inductively coupled plasma optical emission spectrometry. Important factors including pH, amount of adsorbent, amount of 1-(2-pyridylazo)-2-naphthol, sample volume, eluent concentration and extraction time were investigated and optimized. The equilibrium data according to the Freundlich’s and Langmuir models were processed. The results showed that the equilibrium data were well fitted with Langmuir isotherm model. The best fit of adsorption kinetics was attained with a secondorder equation. Under the optimum conditions, the detection limits for chromium and nickel were 0.041 and 0.039 μg L−1, respectively, and the relative standard deviations (RSD %) were 1.5% and 1.3% (n = 10, c = 50 μg L−1) for chromium and nickel, respectively. This procedure was then used for preconcentration and determination of target compounds from environmental water samples.

The effects of measuring atmosphere on ultraviolet photodetection performance of ZnO nanostructures

Mostafa Khajeh,ُS. Safa,r. azimirad
Swiss , Journal of Alloys and Compounds , Year : 2018 , Pages: 1406-1413, ISSN:0925-8388 Journal Paper

Abstract

Herein, a comparative study focusing on the effects of measuring atmosphere on ultraviolet (UV) photodetection performance of ZnO nanostructures is presented. Various morphologies of ZnO nanostructures were synthesized by changing the hydrothermal temperature within 343e423 K. The ultraviolet photodetection performance of the samples was studied against dark ultraviolet light (360 nm, 800 mW/cm2) under 200 sccm gas flows of argon and oxygen. The nanoflowers grown at 373 and 393 K showed the best photosensitivity and photoresponsivity under both argon and oxygen flows. Concerning the importance of active surface area, it was shown that the sample grown at 393 K serves higher accessible surface-to-volume ratio (qualitatively observable by SEM and confirmed by BET), higher concentration of freed electron due to oxygen vacancies (confirmed by PL) and consequently, the best UV photosensitivity. The comparative study between photodetection parameters in argon and oxygen atmospheres showed that although higher partial pressure of oxygen is favorable for all photodetection parameters like photosensitivity, photoresponsivity and decay time, it has adverse effects on rising time because rising time is directly coupled with the density of desorbed oxygen atoms.

Determination of gold in water samples using electromembrane extraction

Mostafa Khajeh,Maryam Dahmardeh,,Ali Khatibi,Mansour Ghaffari Moghaddam
English , Journal of Dispersion Science and Technology , Year : 2018 , Pages: 311-315, ISSN:0193-2691 Journal Paper

Abstract

determination of gold from water samples prior to UV-Vis spectrophotometry. An artificial neural network (ANN) combined with imperialist competitive algorithm (ICA) has been applied to optimize the EME. The effective parameters including pH of acceptor phase, extraction time (t), volume of sample solution (V), stirring rate (S), and voltage (E) were chosen as input variables and the extraction recovery of gold was considered as output variable. The mean of squared error (i.e., 0.0009) and determination coefficient (i.e., 0.9821) were applied to estimate the performance of the ANN model. The limit of detection was 4.5 μg L

New porphyrins: synthesis, characterization, and computational studies

َAli Reza Oveisi,pooya karimi,Hojat Samareh Delarami,صبا دلیران,احمد خرم آبادی زاد,Mostafa Khajeh,esmael sanchooli,Mansour Ghaffari Moghaddam
Netherlands , Molecular Diversity , Year : 2019 , Pages: 1-10, ISSN:1381-1991 Journal Paper

Abstract

New trans-A2B2-porphyrins substituted at phenyl positions were synthesized from 4-methylphthalic acid as a starting material through sequential multistep reactions. These macrocycles were characterized by 1H NMR, 13C NMR, 19F NMR, 1H–1H COSY NMR, and MALDI-TOF mass spectrometry. Computational studies were performed on the porphyrins to investigate various factors such as structural features, electronic energy, energy gaps, and aromaticity. Energy band gap values of these compounds especially N-hydroxyphthalimide-functionalized porphyrins were small that makes them as good candidates for solar cell systems and photocatalysis. Relationships between electronic energies and aromaticity of the compounds were then investigated. The data indicated that the aromaticity features at the center of two series of these compounds (fluorinated and non-fluorinated porphyrins) were in the opposite manner.

Determination of Amadori Product in Glycated Human Serum Albumin by Spectroscopy Methods

,Mansour Ghaffari Moghaddam,Mostafa Khajeh,Nader Sheibani
Germany , ChemistrySelect , Year : 2018 , Pages: 7018-7022, ISSN:2365-6549 Journal Paper

Abstract

The Amadori product is a stable intermediate in the glycation process, and its increased formation is a marker of hyperglycemia in diabetes mellitus. Its accumulation in the body contributes to pathological complications of diabetes including diabetic nephropathy and retinopathy, and cardiovascular diseases. In this study the effect of 3-b-hydroxybutyrate on the production of Amadori products and structural changes of human serum albumin (HSA) after incubation with glucose was investigated using FT-IR, circular dichroism (CD), and UV-visible and fluorescence spectroscopy. Our results showed that the production of Amadori products in HSA incubated with glucose was decreased in the presence of 3-b-hydroxybutyrate. The glycation-mediated alterations in HSA secondary and tertiary structures were also reduced in the presence of 3-b-hydroxybutyrate. These changes were attributed to reduced formation of glucose covalent bonds with the HSA lysine residues in the presence of 3-b-hydroxybutyrate. Thus, 3-b-hydroxybutyrate reduced the production of Amadori products by reacting with lysine residues and decreasing HSA covalent modifications by glucose.

Fluctuation of biochemical, immunological, and antioxidant biomarkers in the blood of beluga (Huso huso) under effect of dietary ZnO and chitosan–ZnO NPs

Ahmad Gharaei,Mostafa Khajeh,,ali khosravanizadeh,رضا فدایی
Netherlands , Fish Physiology and Biochemistry , Year : 2020 , Pages: 0-0, ISSN:0920-1742 Journal Paper

Abstract

The objective of the present study was to investigate the effects of dietary supplementation with zinc oxide (ZnO) and chitosan–zinc nanoparticles (chitosan– ZnO NPs) on biochemical, immunological, and antioxidant biomarkers in blood of juvenile belugas (Huso huso). The beluga juveniles with initial weight of 287 ± 46 g were fed with eight experimental diets containing 0 g kg−1 ZnO (the control diet); 10, 20, and 40 mg kg−1 ZnO; and 10, 20, and 40 mg kg−1 chitosan– ZnO NPs and 36 mg kg−1 chitosan. After 28 days of culture, the fish were fed with ZnO and chitosan–ZnO NP–supplemented diets showed a more significant increase in total antioxidant capacity (TAC), superoxide dismutase (SOD), catalase (CAT), glutathione (GSH), glutathione peroxidase (GPX), and glutathione S-transferase (GST) activity (p < 0.05) compared to the control group. There were no significant differences (p > 0.05) in malondialdehyde (MDA) and glucose level in all treatment groups. The results showed that with increasing levels of ZnO and chitosan–ZnO NPs, alternative complement activity (ACH50), and total immunoglobulin, total protein, albumin, and lysozyme had a significant increase in fish fed with ZnO and chitosan–ZnO NP–supplemented diets compared to the control group (p < 0.05). ALP, ALT, and AST enzyme activities showed significant difference between control and treatment groups (p > 0.05),while the levels of LDH enzyme activity, urea, and creatinine decreased by increasing both ZnO and chitosan–ZnO NP levels. These results demonstrated that dietary chitosan–ZnO NPs could improve the health status, immune function, and antioxidant capacity of the cultured beluga juvenile

Synthesis of Three-Dimensional Multilayer Graphene Foam/ ZnO Nanorod Composites and Their Photocatalyst Application

Mostafa Khajeh,NARGES KARIMIZADEH,MOHSEN BABAMORADI,ROUHOLLAH AZIMIRAD,
USA , Journal of ELECTRONIC MATERIALS , Year : 2018 , Pages: 1-6, ISSN:0361-5235 Journal Paper

Abstract

Three-dimensional graphene foam (GF) with different layer numbers was synthesized by a chemical vapor deposition method. The number of GF layers was controlled by adjusting the feed gas ratio. The average number of layers was calculated by means of Raman spectra and found to be 2, 4, 6, 11 and 25 layers by changing the methane flow at 0.5 sccm, 0.6 sccm, 0.7 sccm, 1 sccm and 1.5 sccm, respectively. ZnO nanorods were grown on each sample by a hydrothermal method. The samples were characterized by scanning electron microscopy, energy-dispersive x-ray spectroscopy, x-ray diffraction and Raman spectroscopy techniques. Photocatalytic degradation of methylene blue (MB) by GF/ZnO composites under visible light was studied. The results showed that the photocatalytic degradation of MB is related to the number of the graphene layers in the composite. In fact, it was concluded that the electronic structure of low-layer graphene indicates a higher capturing performance for photo-assisted electrons of ZnO nanorods.

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  •   پست الکترونیک:m_khajeh@uoz.ac.ir