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Friday 27 November 2020

saeid asadpour

Assistant Professor


Basic Science Faculty

Tel: 32324419-2206


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Research Interest
   water and wastewater treatment: Development of the various methods to help the water and wastewater treatment process of different industries
   Identification, measurement and methods of reducing atomic and molecular pollutants in various environments: Development of various methods for quantitative and qualitative measurement as well as methods for reducing environmental pollutants
   Identification, measurement and methods of reducing atomic and molecular pollutants in various environments: Development of various methods for quantitative and qualitative measurement as well as methods for reducing environmental pollutants
   Application of various chemometrics methods in applied chemistry: Use of chemometrics methods in order to make maximum use of data obtained from different chemical analyzes, and simultaneous analyzes of different species
   Synthesis and application of various types of nano-structures: Synthesis of new nanomaterials to evaluate their activity in adsorption of pollutants and extraction of precious metals
   Molecular docking studies: Studies of the interaction of various materials and pollutants with proteins and receptors in the body structure

Academic Resume
   Bachelor, , Arak University, Iran، Graduation Date: 2004
   Master, , , Iran، Graduation Date: 2007
   Phd, , , Iran، Graduation Date: 2012

International Journal
1. Saeid Asadpour, Zahra Aramesh-Boroujeni and Shohreh Jahani, In vitro anticancer activity of parent and nano-encapsulated samarium(iii) complex towards antimicrobial activity studies and FS-DNA/BSA binding affinity ,
2. Aramesh-Boroujeni, Z. , Jahani, S. , Khorasani-Motlagh, M. , ... Asadpour, S. , Noroozifar, M., Experimental and theoretical investigations of Dy(III) complex with 2,2′-bipyridine ligand: DNA and BSA interactions and antimicrobial activity study ,
3. Saeid Asadpour; Sajjad Jazayeri Farsani; Shima Ghanavati Nasab; Abolfazl Semnani, QSAR Modeling of Some Derivatives of Thiazolidinedione With Antimalarial Properties , Fron.Chem. Res, 2019, Vol: 1, Issue: 1, pages: 17-24.
4. Saeid Asadpour, Mahmood Chamsaz, Mohammad H Entezari, Md Jelas Haron, Narjes Ghows, On-line preconcentration of ultra-trace thallium (I) in water samples with titanium dioxide nanoparticles and determination by graphite furnace atomic absorption spectrometry , A new method has been developed for the determination of Tl(I) based on simultaneous sorption and preconcentration with a microcolumn packed with TiO2 nanoparticle with a high specific surface area prepared by Sonochemical synthesis prior to its dete
5. Mahmoud Chamsaz, Atefe Atarodi, Mohammad Eftekhari, Saeid Asadpour, Mina Adibi, Vortex-assisted ionic liquid microextraction coupled to flame atomic absorption spectrometry for determination of trace levels of cadmium in real samples , A simple and rapid vortex assisted ionic liquid based liquid–liquid microextraction technique (VALLME) was proposed for preconcentration of trace levels of cadmium. According to this method, the extraction solvent was dispersed into the aqueous sampl
6. Mahmoud Chamsaz, Mohammad Eftekhari, Atefe Atarodi, Saeid Asadpour, Maral Ariani, Preconcentration procedure using vortex agitator system for determination of trace levels of cadmium by flame atomic absorption spectrometry , A simple and rapid vortex-assisted ionic liquid based liquid-liquid microextraction (VALLME) procedure was used for the determination of trace amounts of cadmium by flame atomic absorption spectrometry (FAAS). Ionic liquid (IL), 1-hexyl-3-methylimida
7. Mahmod CHamsaz, Mohammad Hassan Entezari, Md Jelas Haron, Saeid Asadpour, Narjes Ghows, Application of titanium dioxide nanoparticles for preconcentration and determination of As (V) in water samples by graphite furnace atomic absorption spectrometry , Titanium dioxide (TiO2) nanoparticles were prepared by Sonochemical synthesis method at low intensity and characterized using X-ray diffraction (XRD) and Transmission Electron Microscope (TEM). The preconcentration capability of TiO2 nanoparticles fo
8. MA Norouzian, S Asadpour, Prediction of feed abrasive value by artificial neural networks and multiple linear regression , In order to evaluate rapid testing methods based on the relationship between feed abrasive value (FAV) and physicochemical properties (particle size, bulk density, dry matter (DM), soluble dry matter, water-holding capacity (WHC), ash, crud protein,
9. Saeid Asadpour, Mahmod CHamsaz, Md Jelas Haron, Application of MLR , PLS and Artificial Neural Networks for Prediction of GC / ECD Retention Times of Chlorinated Pesticides , Herbicides , and Organohalides , Quantitative structure–retention relationship (QSRR) models correlating the retention times of diverse chlorinated pesticides, herbicides, and organohalides in gas chromatography/electron capture detector (GC/ECD) system and their structures were dev
10. Mahmod CHamsaz, AH Perai, Saeid Asadpour, R Hosseini Shahidi, Comparison of the 3-phase segmented linear regression and artificial neural network models to predict broiler hatchability , The objective of this study was to compare the performance of an artificial neural network (ANN) model and a 3-phase segmented linear regression model to describe the relationship between flock age and hatchability in broiler breeder flocks. The pred
11. M Alizadeh, M Chamsaz, S Asadpour, Quantitative Structure-Retention Relationships Study of Phenols Using Neural Network and Classic Multivariate Analysis , A quantitarive structure-retention relationship (QSRR) study, has been carried out on 50 diveNe phenols in gas chromatography (CC) in a dual-capillary column system made of DB-5 (SE-54 bonded phase) ard DB-17 (OV-l7 bonded phase) firsed-silica capill
12. G Mansori, S Asadpour, Simultaneous Spectrofluorometric Determination of Phenylalanine and Tryptophane Using Rank Annihilation Factor Analysis , The application of rank annihilation factor analysis (RAFA) to the analysis of fluorescence excitation-emission matrices of mixtures of phenylalanine and tryptophan is described. The input of rank annihilation factor analysis consists of two bilinear
13. Mahmod CHamsaz, Saeid Asadpour, Ali Hussein Piray, Ali Khatibjoo, neural network model as a new powerful tool to describe and predict hatchability of broiler breeder eggs , Neural Networks offer an alternative to regression analysis for biological modeling. Very little research has been carried out to model fertility using artificial Neural Networks. The aim of this study is evaluation of a Neural Network model to descr
14. Mahmod CHamsaz, Saeid Asadpour, Ali Sarafraz Yazdi, Jahanbaksh Ghasemi, High-performance liquid chromatographic enantioseparation of drugs containing multiple chiral centers on chiral stationary phases , In recent years there has been considerable interest in the synthesis and separation of enantiomers of organic compounds especially because of their importance in the biochemistry and pharmaceutical industry. High-performance liquid Chromatography is
15. J Ghasemi, A Abdolmaleki, S Asadpour, F Shiri, Prediction of solubility of nonionic solutes in anionic micelle (SDS) using a QSPR model , A Quantitative structure–property relationships analysis has been applied to a series of chemical compounds which were of interest because of their roles in environmental samples. The incorporation neutral solute (log Ks) in anionic micelle (SDS) has
16. J Ghasemi, S Asadpour, Thermodynamics’ study of the adsorption process of Methylene Blue on activated carbon at different ionic strengths , The adsorption constant of aqueous solution of methylene blue (MB), (800 · 10−6 mol · dm3) on activated carbon (AC) has been investigated by means of UV–Visible spectroscopy. The adsorption process is very fast and is physical in nature; however, it
17. JahanbakhshGhasemi, SaeidAsadpour, AzizehAbdolmaleki, Prediction of gas chromatography/electron capture detector retention times of chlorinated pesticides, herbicides, and organohalides by multivariate chemometrics methods , A quantitative structure–retention relationship (QSRR) study, has been carried out on the gas chromatograph/electron capture detector (GC/ECD) system retention times (tRs) of 38 diverse chlorinated pesticides, herbicides, and organohalides by using m
18. AH Piray, H Nassiri Moghaddam, S Asadpour, A comparison of artificial neural networks with other statistical approaches for the prediction of true metabolizable energy of meat and bone meal , There has been a considerable and continuous interest to develop equations for rapid and accurate prediction of the ME of meat and bone meal. In this study, an artificial neural network (ANN), a partial least squares (PLS), and a multiple linear regr



Number Student Name Title Defence Date
1. Sajjad Jazayeri Farsani QSAR modeling of some derivatives of Thiazolidinedione with Antimalarial properties and some Naphthoquinone derivatives as an inhibitors of Pathogenic agent IDO1 شنبه ٢ شهريور ١٣٩٨
2. Fariba Masumi Sefiddashti QSAR modeling of some 2-benzyloxybenzamides derivatives as an inhibitors of SMS-2 enzyme to reduce atherosclerosis and some Furopyrimidine and Thienopyrimidne derivatives as an inhibitors of Carcinogenic Agent VEGFR-2 شنبه ٢ شهريور ١٣٩٨
3. Mahsa Soleimanian Chaleshtori Prediction of fatal doses of some important drugs for toddlers and production efficiency of enantioselective hydroxyamino alcohols by chemometrics methods یکشنبه ٣١ شهريور ١٣٩٨

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