List of Articles Md. Abu Bin Hasan Susan

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  1 - Dynamic light scattering and zeta potential measurements: effective techniques to characterize therapeutic nanoparticles
  Abbas Rahdar nooshin amini Fazeh Askari Md. Abu Bin Hasan Susan
  10.22034/jna.2019.575819.1108
  Particle size and surface charge are key parameters of nanoparticles (NPs), especially therapeutic NPs, to influence the kinetics in vivo and interaction with the cellular and biological membranes and decide the efficacy for biological systems. Characterization of nanom More

  Particle size and surface charge are key parameters of nanoparticles (NPs), especially therapeutic NPs, to influence the kinetics in vivo and interaction with the cellular and biological membranes and decide the efficacy for biological systems. Characterization of nanomaterials including both nanoparticles and micelles has therefore been a major issue in nanomedicine research to develop well-defined nano-formulations with focus on therapeutic goals. Dynamic light scattering (DLS) and zeta potential (ZP) measurements are widely accepted techniques for proper determination of the particle size and surface charge of therapeutic NPs. These have so far been easy, simple, and reproducible tools. However, there are challenges to interpret and systematically analyze data effectively due to lack of adequate understanding of the principles involved and impeccable background for operation of the system along with competence of sample preparation and characterization and so on. This review addresses the issues with focus on the fundamental principles involved in the techniques of DLS and ZP. The ultimate goal has been development of knowledge–base with a view to better analyzing and interpreting results for evaluation of hydrodynamic size, diffusion, inter particular interactions and stability of colloidal systems based on surface charge of therapeutic NPs. Manuscript profile
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  2 - Application of response surface methodology for optimization of fluoride adsorption from aqueous solution using MgO-based nanocomposites
  Abbas Rahdar Somayeh Rahdar laili Mohammadi Saiedeh Sistani Shabnam Ahmadi Md. Abu Bin Hasan Susan
  10.22034/jna.2020.1874451.1149
  Fluoride at high concentrations in water is detrimental to human health. To find an efficient means of removal of fluoride from aqueous system, we synthesized magnesium oxide (MgO)- based iron-cobalt-manganese (MgO-FCN ) nanocomposites via co-precipitation. Fluoride ads More

  Fluoride at high concentrations in water is detrimental to human health. To find an efficient means of removal of fluoride from aqueous system, we synthesized magnesium oxide (MgO)- based iron-cobalt-manganese (MgO-FCN ) nanocomposites via co-precipitation. Fluoride adsorption process was optimized by standard software. The effect of independent parameters such as pH (3-11), initial dose of nanoparticle (0.02-0.1 g/L), initial concentration of fluoride (10-50 mg/L) and reaction time (30-180 min) were optimized to obtain the best responses of fluoride removal using statistical Central Composite Design (CCD) in the procedure of response surface modeling. The best conditions were optimized as pH=5, initial concentration of nanoparticle =0.05 g/L, initial concentration of fluoride =50 mg/L and the process time of 90 min. Under these conditions, the removal efficiency of the fluoride by MgO-based nanocomposites was achieved as 84.64%. High correlation coefficients for the proposed model was also obtained (adjusted R2=0.9993 and R2=0.9984). The equilibrium data were analyzed using Langmuir, Freundlich, Temkin and Dubinin-Radushkevich isotherm models. The Langmuir model was found to be describing the data best. Kinetic studies showed that the adsorption followed a pseudo-second order reaction. Manuscript profile
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  3 - Application of response surface methodology for optimization of fluoride adsorption from aqueous solution using MgO-based nanocomposites
  Somayeh Rahdar Leili Mohammadi Abbas Rahdar Shahin Ahmadi Saeideh Sistani Md. Abu Bin Hasan Susan
  10.22034/jna.2020.677399
  Deleterious effect of high concentration fluoride in water resources on the healthof human. The MgO supported Fe-Co-Mn nanoparticles were produced via coprecipitationmethod and characterized by SEM and FTIR techniques. In the work,the adsorption process optimization was More

  Deleterious effect of high concentration fluoride in water resources on the healthof human. The MgO supported Fe-Co-Mn nanoparticles were produced via coprecipitationmethod and characterized by SEM and FTIR techniques. In the work,the adsorption process optimization was performed by response surface modelingwith the help of Minitab 16 software. The effect of independent parameters suchas pH ( 3-11), the initial dose (0.02-0.1 g/L), the initial concentration of the fluoride(10-50 mg/L) and reaction time (30-180 min) were optimized to obtain the bestresponse of fluoride removal using the statistical Box-Behnken in responsesurface modeling procedure. Conditions for the pH(5), the initial concentrationof nanoparticle (0.05 g/L), the initial concentration of fluoride (50 mg/L) and theprocess time(90 min) were obtained as Min respectively. Under these conditions,the removal efficiency of the fluoride by MgO capped Fe-Co-Mn nanoparticlesequal to 84.64% were achieved. ANONA high correlation coefficients for theproposed model was also obtained (adjusted –R2=0.9993 and R2=0.9984). Theequilibrium data were analyzed using Langmuir, Freundlich, Temkin and Dubinin-Radushkevich isotherm models. The Langmuir model was found to be describingthe data. Kinetic studies showed that the adsorption followed a pseudo-secondorder reaction. Manuscript profile