maryam abrishamkar

The applicability of Polyetheretherketone/polyvinylalcohol nanocomposite modified with zinc oxide nanoparticles synthesis for the removal of benzyl butyl phthalate from wastewater. Identical techniques, including BET, FT-IR, XRD, and SEM, have to characterize this unknown material. The investigation shows the applicability of adsorbent PEEK/PVA/ZnONPs, as an available, suitable, and low-cost adsorbent for adequately removing the benzyl butyl phthalate from wastewater. The impacts of variables, including benzyl butyl phthalate concentration, adsorbent, pH, and time (15 mgL-1, 0.3 g, 5.0, and 60 min). Based on the received data, the adsorption of benzyl butyl phthalate on the PEEK/PVA/ZnONPs adsorbent agrees well with the Langmuir adsorption model isotherm (qm = 34.24 mgg-1). The results of the thermodynamic parameter showed a negative enthalpy (-77.0 KJ/mol), a negative Gibbs free energy (-11.7 KJ/mol), and negative entropy (-274.0 J/K.mol). This led to the conclusion that the adsorption process is energetically possible, and exothermic was also spontaneous. This work indicates that the PEEK/PVA/ZnONPs, used as an ecologically adapted, adsorbent holds promise for eliminating benzyl butyl phthalate from wastewater.

Activated carbon from the walnut shell modified by sepiolite (AC/SEP) composite was synthesized and applied for the adsorption of toxic lead (Pb(II)) ions from industrial effluents.  AC/SEP composite was characterized by Fourier Transform InfraRed (FT-IR) spectrometer, Field Emission Scanning Electron Microscopy (FESEM), Brunauer–Emmett–Teller (BET), and X-Ray Diffraction (XRD) analyses. Effects of pH, amount of adsorbent, Lead initial concentration, and contact time on removal percentage were studied by Central Composite Design  (CCD). The optimal condition for maximum Lead removal by AC/SEP adsorbent (99.07%) was as follows: pH= 5.00, adsorbent amount: 0.05 g, initial concentration 20.00 mg/L, and contact time: 25.00 min in 10 mL of pollutant volume. Also, the adsorption kinetics, thermodynamics, and isotherms were determined. Adsorption isotherms (qmax: 269.67 mg/g) and kinetics showed that the sorption process was better modeled by the Langmuir and pseudo-second-order equation.

In this study the residue behavior of toxic insecticide abamectin on surface water with fluorescent chemical sensors because they are non-destructive, the ability to show decomposed concentrations, fast response, and high was investigated. In this research, a chemical sensor was synthesized PbS functionalized with gelatin quantum dots for toxic abamectin. The calibration curve was linear in the range of (0.05 to 10.0 µgL−1). The standard deviation of less than (1.1 %), and detection limits of the method (0.05 µgL−1) in time 60 s, 350 nm were obtained for sensor level response PbS Quantum Dot–Gelatin nanocomposites sensor with (95%), confidence evaluated. The observed outcomes confirmed the suitability recovery and a very low detection limit for measuring the toxic abamectin. The chemical PbS Quantum Dot–Gelatin nanocomposites sensor as excellent sensor in the practical application of toxic abamectin related to residue management is in Water Samples. The method fluorometric can be used as to estimate the appropriate PHIs and can also support authorization of plant protection products as supplementary information.

In this current article, a chemical sensor was synthesized PbS functionalized with Gelatin Quantum Dots for Fenpyroximate. The measure of Fenpyroximate was performed using concentration (2.5×10-3 mol L-1), PbS Quantum Dot-Gelatin nanocomposites sensor, pH 6, and time 40 s, wavelength 328 nm. Under the optimum conditions, the detection limit linear range were obtained (0.02 to 20.0 µg L-1). The standard deviation of less than (2.0%), and detection limits (3S/m) of the method (0.02 µg L-1) for determination of Fenpyroximate, was obtained. The observed outcomes confirmed the suitability recovery and a very low detection limit for measuring the Fenpyroximate. The chemical PbS Quantum Dot–Gelatin nanocomposites sensor as excellent sensor in the practical application of Fenpyroximate related to residue management is in surface water samples.

The applicability of Albizia Lebbeck Leaves-capped silver nanoparticles (ALL-AgNPs) synthesis to dyes removal from aqueous solutions has been reported. The main goal of this work was development of a practical system to acquire the optimal conditions of removal accompanied by ultrasonic for maximizeing removal of Auramine O (AO) and Crystal Violet (CV) onto ALL-AgNPs in aqueous solution based on RSM (response surface methodology). To characterization of this novel materials techniques of X-ray diffraction (XRD), Fourier transform infrared  (FT-IR) and scanning electron microscopy (SEM) were employed. The influences of several parameters including initial AO concentration (X1), initial CV concentration (X2), pH (X3), adsorbent dosage (X4), sonication time (X5) evaluated based on CCD (central composite design) using RSM. The process was empirically modeled to reveal the significant variables and their possible interactions. The optimal prameters of ultrasound time, pH, adsorbent mass, AO and CV concentration were obtained 5 min, 6.0, 0.025 g, 25 mg L-1, respectively. The application of isotherms in obtaining the thermodynamic parameters like enthalpy (ΔH0), free energy (ΔG0) and entropy (ΔS0) for adsorption process were confirmed. The maximum monolayer capacities (Q max) of AO and CV were obtained 73.2 and 48.7 mg/g, respectively under optimal conditions.

The applicability of Mn-doped Fe2O4 nanoparticles loaded on activated carbon for removing Phenol from aqueous solutions has been reported. This novel material was characterized by different techniques such as FT-IR, XRD and SEM. The influence of nanoparticle dosage, pH of the sample solution, individual Phenol concentration, contact time between the sample and the adsorbent, temperature, and ionic strength of the sample solution were studied by performing a batch adsorption technique. The maximum removal of 5-25 mg L-1 of individual Phenol from an aqueous sample solution at pH 6.0 for Phenol was achieved within 30 min when an adsorbent amount of 0.1 g was used. It was shown that the adsorption of Phenol follows the Langmuir isotherm model best described the experimental adsorption data with maximum adsorption capacities of 4.27 mg/g. The kinetic data were best described by the pseudo-second order model (R2 = 0.9997) explains equilibrium data. Isotherms had also been used to obtain the thermodynamic parameters such as free energy (ΔG0), enthalpy (ΔH0) and entropy (ΔS0) of adsorption. The negative value of (ΔGo, ΔHo and ΔSo) confirmed the sorption process was endothermic reflects the affinity of Mn-doped Fe2O4 nanoparticles loaded on activated carbon functionalized towards Phenol. These results indicate that the pretreatment of Mn-doped Fe2O4 nanoparticles loaded on activated carbon can optimize the removal of Phenol from aqueous solution.

Bio-absorbent palm fiber was applied for removal of cationic violet methyl dye from water solution. For this purpose, a solid phase extraction method combined with the artificial neural network (ANN) was used for preconcentration and determination of removal level of violet methyl dye. This method is influenced by factors such as pH, the contact time, the rotation speed, and the adsorbent dosage. In order to find a suitable model of parameters and calculate the desired output, two radial basis function (RBF) and multi-layer perceptron (MLP) non-recursive functions, which are among widely used artificial neural networks, were used for training the input data. The performance of this method is tested by common statistical parameters including RMSE, MAE, and CE. The results show that the artificial neural network algorithm has a good performance in simulating and predicting the removal of violet methyl dye.

The aim of the present study was to determine the cefixime (CFX) through highly sensitive and simple electrocatalytic method. The electrocatalytic oxidation of CFX was performed on the surface of the modified carbon paste electrode (MCPE) with synthesized nano-sized ZSM-5 zeolite using the cyclic chronoamperometry and voltammetry methods. Also this work probed the application of the nano-zeolite in electrode structure and prepare zeolite MCPE. Due to the porous structure of the zeolite framework, the nickel (Ni) (II) ions were embedded into the zeolite framework through the immersing MCPE with synthesized zeolite in a 1.0 M Ni chloride solution. An excellent redox activity was practically seen for the Ni2+/ Ni3+ couple on the MCPE surface in alkaline solution. The Ni ions were acted as a mediator for the oxidation of CFX and catalyzed the electron transfer in this process. The CFX molecules were successfully oxidized on the surface of proposed electrode. The chronoamperometric method was used and catalytic reaction rate constant (K) was 3.5 ×106 cm3/s-1/mol-1 for the CFX oxidation. This electrocatalytic oxidation had a good linear response in the CFX concentration range of 25×10-6– 25×10−5 M with a regression correlation coefficient of 0.993, and the detection limit (3δ) of the method was 26×10-7 M. The diffusion coefficient of CFX molecules (D=6.47×10-5 cm2/s-1) was calculated based on the chronoamperometry studies.

Via Box-Behnken method, we evaluated the influence of various factors on absorption, including the amount of absorbent, the speed of stirring the solution and absorbent, pH of solution, time of contact, and various concentrations of violet methyl colour, to obtain optimum conditions. The maximum extent of violet methyl removal was found at 100 mg/L concentration, pH = 4.6, contact time = 50 minutes, 120 rotation speed, and absorbent dose = 1.488 g/L (0.0744 gram in 50 millilitre). In order to determine the reaction mechanism, two kinetic models were used, namely pseudo-first-order and pseudo-second kinetics models. The adsorption kinetics followed pseudo-second order model, and the mechanism of chemical reaction was the rate-limiting step. Furthermore, the Langmuir and Freundlich Isotherms were considered for absorbing the violet methyl on the palm fiber absorbent. The adsorption isotherms showed a balanced relationship between the materials adsorbed on the adsorbent (qe) and a balanced concentration in the solution (Ce) at a constant temperature. This method was used to remove the violet methyl colour from real samples such as industrial sewage, tap and river water.

This study investigated the electrocatalytic oxidation of amoxicillin on the surface of carbon paste electrode modified with synthesized nano zeolite which was doped with nickel ion in the basic solution. This electrode functions as a sensor to determine amoxicillin.
At first, the percentage of nano zeolite via carbon paste and the flotation of the modified electrode in the nickel chloride solution (1.0 M) for determination of drug were optimized. Then, the determination of amoxicillin in the 0.1 NaOH was conducted using cyclic voltammetry and chronoamprometry techniques.
Findings: Obtained results show that the produced NiOOH on the surface of modified electrode acts as an electrocatalyst for the oxidation of amoxicillin. The linear dynamic range and the limit of detection for amoxicillin determination via the proposed electrode were 8.2* 10-5 M - 2.46* 10-4 M and 2.3*10-5 M. The catalytic rate constant for the electro-oxidation of amoxicillin was obtained 4.2*105 cm3s-1mol-1.
Discussion & Finally obtained results reveal that introduced procedure was simple, fast, available, repeatable, and sensetive.