International Journal |
| 1. Saeid Asadpour, Ahmad Raeisi, Masoumeh Kooravand, Arash Asfaram, A review on zinc oxide/poly (vinyl alcohol) nanocomposites: Synthesis, characterization and applications , Zinc oxide/poly(vinyl alcohol) nanocomposite (ZnO/PVA) has unique structural and functional properties, leading to excellent potential in many electrical, optical, water treatment, and medical fields. According to the broad applications of this compo |
| 2. Sadegh Farhadian, Fatemeh Hashemi-Shahraki, Saeid Asadpour, Behzad Shareghi,, Malachite Green, the hazardous materials that can bind to Apo-transferrin and change the iron transfer , Different groups of synthetic dyes might lead to environmental pollution. The binding affinity among hazardous materials with biomolecules necessitates a detailed understanding of their binding properties. Malachite Green might induce a change in the |
| 3. Mahsa Khorshidi, Saeid Asadpour, Narges Sarmast, Mohammad Dinari, A review of the synthesis methods, properties, and applications of layered double hydroxides/carbon nanocomposites , The combination of carbon nanomaterials (e.g., graphene, carbon dot, etc.) and layered double hydroxides (LDHs) leads to the creation of efficient nanocomposites with excellent characteristics as many properties of these two substances can complement |
| 4. Fariba Masoomi Sefiddashti, Saeid Asadpour, Hedayat Haddadi, Shima Ghanavati Nasab, QSAR analysis of pyrimidine derivatives as VEGFR-2 receptor inhibitors to inhibit cancer using multiple linear regression and artificial neural network , Background and purpose: In this study, the pharmacological activity of 33 compounds of furopyrimidine and thienopyrimidine as vascular endothelial growth factor receptor 2 (VEGFR-2) inhibitors to inhibit cancer was investigated. The most important an |
| 5. Sajjad Jazayeri Farsani, Saeid Asadpour, Abolfazl Semnani, Shima Ghanavati Nasab, Quantitative structure–activity relationship modeling of some naphthoquinone derivatives as inhibitors of pathogenic agent IDO1 , Quantitative structure–activity relationship (QSAR) was performed to analyze naphthoquinone derivatives as an inhibitor of indoleamine 2,3-dioxygenase pathogen via multivariate regression (MLR) and artificial neural network. The best descriptors were |
| 6. Fariba Masoomi Sefiddashti, Hedayat Haddadi, Saeid Asadpour, Shima Ghanavati Nasab, Prediction of IC50 Values of 2− benzyloxybenzamide Derivatives using Multiple Linear Regression and Artificial Neural Network Methods , In this study, six molecular descriptors were selected from a pool of variables using stepwise regression to built a QSAR model for a series of 2-benzyloxy benzamide derivatives as an SMS2 inhibitor to reduce atherosclerosis. Simple multiple linear r |
| 7. Masoumeh Kooravand, Saeid Asadpour, Hedayat Haddadi, Sadegh Farhadian, An insight into the interaction between malachite green oxalate with human serum albumin: Molecular dynamic simulation and spectroscopic approaches , Cationic triarylmethane dyes such as malachite green are aromatic xenobiotic compounds causing environmental pollution. The affinity between hazardous materials and biomolecules makes it important to understand the properties of such compounds. Accor |
| 8. 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 , |
| 9. 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 , |
| 10. 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. |
| 11. 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 |
| 12. 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 |
| 13. 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 |
| 14. 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 |
| 15. 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, |
| 16. 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 |
| 17. 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 |
| 18. 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 |
| 19. 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 |
| 20. 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 |
| 21. 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 |
| 22. 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 |
| 23. 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 |
| 24. 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 |
| 25. 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 |
Research Journal |
| ٢٦. Mahsa Soleimanian Chaleshtori, Saeid Asadpour, Hedayat Haddadi, QSAR study of some important drugs to predict their lethal dose for children , In this study, prediction of average lethal dose of important drugs for children using molecular descriptors and application of Quantitative Structure-Activity Relationship (QSAR) models by Multiple Linear Regression (MLR) and Artificial Neural Netwo |