eng Sami Publishing Company (SPC) Asian Journal of Nanosciences and Materials 2645-775X 2588-669X 2018-03-01 1 1 1 10 10.26655/ajnanomat.2018.1.1 57276 مقاله پژوهشی Mehrdad Shahpar [email protected] 1 Sharmin Esmaeilpoor [email protected] 2 Director of Ilam Petrochemical Company. Department of Chemistry, Payame Noor University, P.O. BOX 19395-4697, Tehran, Irann A quantitative structure–retention relation (QSRR) study was conducted on the range-scaling transformation (Xa) of the nanoparticle compounds which obtained by comprehensive two-dimensional gas chromatography (GC×GC) stationary phases consisting of thin films of the gold-centered monolayer protected nanoparticles (MPNs) system. The genetic algorithm was used as descriptor selection and model development method. Modeling of the relationship between the selected molecular descriptors and the retention time was achieved by linear (partial least square; PLS) and nonlinear (Levenberg-Marquardt artificial neural network; L-M ANN) methods. Linear and nonlinear methods resulted in an accurate prediction whereas more accurate results were obtained by L-M ANN model. https://www.ajnanomat.com/article_57276_220b3f93bb21b517ceb26ef51bb76ec5.pdf Nanoparticle compounds Gold-centered monolayer protected nanoparticles Comprehensive two-dimensional gas chromatography QSRR Levenberg-Marquardt artificial neural network eng Sami Publishing Company (SPC) Asian Journal of Nanosciences and Materials 2645-775X 2588-669X 2018-03-01 1 1 11 18 10.26655/ajnanomat.2018.1.2 58120 مقاله پژوهشی Sami Sajjadifar [email protected] 1 Ghobad Mansouri [email protected] 2 Shefa Miraninezhad [email protected] 3 Department of Chemistry, Payame Noor University, PO BOX 19395-4697 Tehran, Iran Department of Chemistry, Payame Noor University, PO BOX 19395-4697 Tehran, Iran Department of Chemistry, Payame Noor University, PO BOX 19395-4697 Tehran, Iran Silica supported-boron sulfonic acid (SBSA) was used as a cheap and mild bronsted acidic in the reaction of indole with aldehydes to afford the corresponding bis(indolyl)methanesin in solvent free grinding and room temperature. The catalyst is also effective in the reaction in good yields. This methodology offers several advantages, such as good yields, reusability of catalyst, short reaction times, simple procedure, and mild conditions. The catalyst can be recovered and reused without loss of activity. The work-up of the reaction consists of a simple filtration, followed by concentration of the crude product and purification. https://www.ajnanomat.com/article_58120_228a5e6048cf58a741580a4d52712930.pdf Indole Bis(indolyl)methane Boron Sulfonic Acid Aldehyde Synthesis eng Sami Publishing Company (SPC) Asian Journal of Nanosciences and Materials 2645-775X 2588-669X 2018-03-01 1 1 19 24 10.26655/ajnanomat.2018.1.3 57714 مقاله پژوهشی M. Halimi [email protected] 1 M. Nasrabadi [email protected] 2 N. Soleamani [email protected] 3 N. Rouhani [email protected] 4 Department of Chemistry, Payame Noor University, P.O. Box 19395-4697 Tehran, Iran Department of Chemistry, Payame Noor University, P.O. Box 19395-4697 Tehran, Iran Department of Chemistry, Payame Noor University, P.O. Box 19395-4697 Tehran, Iran Department of Chemistry, Payame Noor University, P.O. Box 19395-4697 Tehran, Iran We describe the synthesis of silver nanoparticles (Ag-NPs) using aqueous extract of Dracocephalum lindbergii . UV–visible spectroscopy, X-ray diffraction (XRD), scanning electron microscopy (SEM), and X-ray energy dispersive spectrophotometer (EDX) were performed to ascertain the formation of Ag-NPs. UV-visible absorption spectra of the reaction medium containing silver nanoparticles showed maximum absorbance at 416 nm. The XRD pattern revealed the crystalline structure of SNPs. The SEM analysis showed the size and shape of the nanoparticles. The environmental friendly method provides simple, easy and cost effective faster synthesis of nanoparticles than chemical methods and can be used in several areas such as food, medicine. https://www.ajnanomat.com/article_57714_bd7d08de42f6f913b6d74498e2624a43.pdf Green nanoscience Biological synthesis Dracocephalum lindbergii Nanotechnology Silver nanoparticle eng Sami Publishing Company (SPC) Asian Journal of Nanosciences and Materials 2645-775X 2588-669X 2018-03-01 1 1 25 35 10.26655/ajnanomat.2018.1.4 57713 مقاله پژوهشی Mehrdad Shahpar [email protected] 1 Sharmin Esmaeilpoor [email protected] 2 Director of Ilam Petrochemical Company Department of Chemistry, Payame Noor University, P.O. BOX 19395-4697, Tehran, Iran The pesticides and active pharmaceutical compounds in water can potentially causedamage, including theincreased cancer risk; liver, and kidney. A quantitative structure–retention relationship (QSRR) was developed using the partial least square (PLS), Kernel PLS (KPLS), and Levenberg-Marquardt artificial neural network (L-M ANN) approach for chemometrics study. The data contained retention time (RT) of the 87 pesticides and active pharmaceutical compounds in wastewater and river waters. Genetic algorithm was employed as a factor selection procedure for PLS and KPLS modeling methods. The results showed that, the GA-PLS descriptors are selected for L-M ANN. Finally a model with a low prediction error and a good correlation coefficient was obtained by L-M ANN. https://www.ajnanomat.com/article_57713_7a3bf566a75a38ab18060e741fb9d493.pdf Water Pollution Organic contaminants Pesticides Pharmaceuticals LC–QTOFMS eng Sami Publishing Company (SPC) Asian Journal of Nanosciences and Materials 2645-775X 2588-669X 2018-03-01 1 1 36 46 10.26655/ajnanomat.2018.1.5 57712 مقاله پژوهشی Aschalew Tadesse [email protected] 1 Dharmasoth Rama Devi [email protected] 2 Mebrahtu Hagos [email protected] 3 Gangarao Battu [email protected] 4 Keloth Basavaiah [email protected] 5 Department of Inorganic and Analytical chemistry, Andhra University, Visakhapatnam-530003, India | Department of Applied Chemistry, AdamaScience and Technology University, 1888, Ethiopia AU College of Pharmaceutical Science, Andhra University, Visakhapatnam-530003, India Department of Inorganic and Analytical chemistry, Andhra University, Visakhapatnam-530003, India | Faculty of Natural and Computational Sciences, Woldia University, 400, Ethiopia AU College of Pharmaceutical Science, Andhra University, Visakhapatnam-530003, India Department of Inorganic and Analytical chemistry, Andhra University, Visakhapatnam-530003, India Facile and green one pot hydrothermal method was used for synthesis of fluorescent carbon quantum dots (CQDs) using citrus lemon juice as precursor. The synthesized CQDs were characterized using UV–Vis spectrophotometer, fluorescence spectrometer, transmission electron microscopy (TEM), X-ray diffraction (XRD), Fourier transform infrared spectrometer (FTIR), field emission scanning electron microscope equiped with energy dispersive X-ray spectroscopy (FESEM-EDS) and fluorescence microscopy. The obtained CQDs have high photoluminescence of 10.20% quantum yield. The photoluminescence intensity of CQDs depends on pH of the solution and maximum intensity obtained at pH of 6. The particle size of the carbon dots were distributed in narrow range of 2–10 nm with an average of 5.8 nm. The highly water soluble CQDs have high cell viability even at high concentration which rich up to 85%. MTT assay was used to investigate the potential application of CQDs and the results indicated that the material can be used as florescent probe in the cell imaging. https://www.ajnanomat.com/article_57712_c180ebf10d888464520073be893327fb.pdf carbon quantum dots citrus lemon juice fluorescent Hydrothermal method cell imaging eng Sami Publishing Company (SPC) Asian Journal of Nanosciences and Materials 2645-775X 2588-669X 2018-03-01 1 1 47 51 10.26655/ajnanomat.2018.1.6 58128 مقاله پژوهشی Shama Firdous [email protected] 1 Waqas Nazeer [email protected] 2 Mohammad Reza Farahani [email protected] 3 Department of Mathematics and Statistics, The University of Lahore, Lahore, Pakistan Divisionof Science and Technology, University of Education, Lahore, 54000, Pakistan Department of Applied Mathematics of Iran University of Science and Technology (IUST), Narmak, Tehran 16844, Iran Abstract: Let G be the connected graph with vertex set V(G) and edge set E(G).The first and second K Banhatti indices of G are defined as <em>B₁^(G)=Σ_ue[d_G (u) +d_G (e)] and B₂^(G)=Σ_ue[d_G (u) +d_G (e)]</em> where ^<em>ue</em>means that the vertex ^u and edge <em>^e</em> are incident in G.The first and second K hyper Banhatti indices of G are defined as <em>HB₁(G) = Σ_ue[d_g(u) + d_G(e)]²</em> and <em>HB₂(G) = Σ_ue[d_g(u) d_G(e)]²</em> respectively . In this paper, we compute the first and second K Banhatti indices of toroidal polyhex network. In addition, the first and second K hyper Banhatti indices of toroidal polyhex networks are determined. <br /><br />Keywords: Topological index, Banhatti index, Network. https://www.ajnanomat.com/article_58128_46c1108124798e40eb03f99aa3836c03.pdf topological index Banhatti index network