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Author(s): Alireza Geramizadegan [sup.1] , Leila Niknam [sup.1] , Elham Pournamdari [sup.2] Author Affiliations: (1) grid.411463.5, 0000 0001 0706 2472, Department of Chemistry, Dashtestan Branch, Islamic Azad University, , Dashtestan, [...], In this article, a molecularly imprinted polymer-solid phase extraction (SPE)-liquid chromatography method was developed to isolate toxic bentazon in surface water. The molecularly imprinted polymer (MIP) consisted of methacrylic acid as a functional monomer, ethylene glycol dimethacrylate as a crosslinking monomer, and [alpha],[alpha]'-azoisobutyronitrile as an initiator for polymer preparation. To evaluate the applicability of the imprinted polymer as a selective sorbent, general parameters, such as pH, amount of loading solvents, washing solution, eluent, and time, were optimized following a step-by-step approach. Under the optimum conditions, the linear range was between 0.05 and 1.0 [micro]g/L. The standard deviation of 2.2% and the method detection limit of 0.05 [micro]g/L were obtained. The recoveries up to approximately 97.0% from spiked surface water samples could be obtained. The observed outcomes confirmed the suitability of the artificial neural network model as a tool for mean square error of bentazon on MIP-SPE (0.018) and non-imprinted polymer-SPE (0.029) selectivity and permeability. The proposed molecularly imprinted polymer-solid phase extraction-liquid chromatography method could be applied to the direct determination of toxic bentazon in water samples.

In this study, the residue of toxic 2-mercaptobenzothiazole, a semi-volatile heteroaromatic, was extracted from wastewater using a new spectrofluorometric method. The method is based on measuring 2-Mercaptobenzothiazole the quenching effect on the fluorescence intensity of ZnS quantum dot–gelatin nanocomposite in (pH 4, λex 310 and λem 345 nm, in time 60 s). Different factors affecting the reaction were studied and optimized. The calibration plot is linear in the concentration range of (0.05–10.0 µgL−1). The relative standard deviations and the detection limit of the method were ±1.0% and 0.05 μgL−1, respectively. Observed, outcomes confirmed the suitability recovery and a meager detection limit for analyzing toxic 2-Mercaptobenzothiazole in water samples. The preliminary results from this study demonstrate that this new method can be used to analyze 2-mercaptobenzothiazole in wastewater. [ABSTRACT FROM AUTHOR]

The applicability of Zeolitic Imidazolate-67, Modified by Fe3O4 Nanoparticles, was studied for removing textile dye Reactive yellow 105 from wastewater by adsorption method using response surface methodology (RSM). For the adsorption characterization of the adsorbent used in HE-4G dye adsorption, BET, FTIR, XRD, and SEM analyses were performed. The impacts of variables, including initial HE-4G dye concentration (X1), pH (X2), adsorbent dosage (X3), and sonication time (X4), the highest removal efficiency as 98%, 10 mg/L initial concentration, pH 6, 0.025 g adsorbent dosage, and 6.0 min time respectively. Adsorption equilibrium and kinetic data it, that data were for the Langmuir isotherm, pseudo-second-order kinetics, and maximum adsorption capacity (105.0 mg/g), respectively. Thermodynamic parameters indicated HE-4G dye adsorption is feasible, spontaneous and exothermic. Promising treatment capabilities of the ZIF-67-Fe3O4NPs have been during the comparative adsorption removal of HE-4G dye from DI water against spiked natural water samples and synthetic Na+, K+, Ca2+, and Mg2+ solutions. The observed outcome is the suitability of the artificial neural network model as a tool for mean square error, (MSEANN = 0.53, and R2 = 0.9926) for removing HE-4G dye. Results that ZIF-67-Fe3O4NPs, like being recyclable, and cost-efficient made it a promising absorbent for wastewater. [ABSTRACT FROM AUTHOR]

In the present study, the applicability of CM-β-CD-Fe3O4NPs synthesis for eliminating humic acid rapidly from aqueous solutions. Identical techniques including BET, FT-IR, XRD and SEM have been utilised to characterise this novel material. The investigation showed the applicability of CM-β-CD-Fe3O4NPs as an available, suitable and low-cost adsorbent for the proper deletion of humic acid from aqueous media. Also, the impacts of variables including initial humic acid (HA) concentration (X1), pH (X2), adsorbent dosage (X3) and sonication time (X4) came under scrutiny using central composite design (CCD) under response surface methodology (RSM). The experiments have been designed utilising response surface methodology. In this current article, the values of 12 mg·L−1, 0.03 g, 7.0, 4.0 min were considered as the ideal values for humic acid (HA) concentration, adsorbent mass, pH value and contact time, respectively. The kinetics and isotherm studies proved the appropriateness of the second-order and Langmuir models for the kinetics and isotherm of the adsorption of humic acids (HAs) on the adsorbent. The adsorbent was proved to be recyclable more than once. Since almost 99.5% of humic acids (HAs) were deleted with ideal adsorption capacities of 105 mg·g−1 for humic acids (HAs). The use of artificial neural network model in predicting data with Levenberg–Marquardt algorithm, purelin or a linear transfer function at the output layer and tansig or a tangent sigmoid transfer function in the hidden layer with five neurons was helpful for deletion of humic acid (HAs), MSE (mean square error) of 0.33 for humic acid (HA) removal by CM-β-CD-Fe3O4NPs. The overall results confirmed that CM-β-CD-Fe3O4NPs could be a promising adsorbent material for humic acid (HA) removal from aqueous solutions. [ABSTRACT FROM AUTHOR]

In the present study, the applicability of Mn-doped PbS nanoparticle synthesis for eliminating (methylene blue [MB]) dye rapidly from aqueous solutions was investigated. Identical techniques including Brunauer–Emmett–Teller theory, Fourier transform infrared, X-ray diffraction, thermogravimetric analysis, differential thermal analysis and scanning electron microscopy have been utilised to characterise this novel material. The investigation showed the applicability of Mn-doped PbS nanoparticles as an available, suitable and low-cost adsorbent for proper deletion of (MB) dye from aqueous media. Also, the impacts of variables including initial (MB) dye (X1), pH (X2), adsorbent dosage (X3), sonication time (X4), central composite design and response surface methodology (RSM) were shown. In the current article, the values of 10 mgL−1, 0.025 g and 6.0 and 5.0 min were considered as the ideal values for (MB) dye removal, respectively. The adsorption data fitted well with the Langmuir isotherm model with correlation coefficient (R2 > 0.999), and the maximum adsorption capacities (qmax) were observed to be 200.0 mg g−1 for (MB) dye at desired conditions. The pseudo-second-order kinetics coincides quite well with the kinetic results. The thermodynamic parameters including enthalpy, entropy and Gibbs energy were calculated for the adsorption of these (MB) dyes using Mn-doped PbS nanoparticles that are suitable, spontaneous and exothermic. The use of artificial neural network model as a tool for determining mean square error (=0.607) for (MB) dye removal by Mn-doped PbS nanoparticles. Ultrasonic power had important role in shortening the adsorption time of (MB) dye by enhancing the dispersion of adsorbent in solution. Overall, Mn-doped PbS nanoparticles could be a promising adsorbent material for (MB) dye removal from aqueous solutions in a short time. [ABSTRACT FROM AUTHOR]

Fluorescent chemical sensors to detect materials, by increasing fluorescence emission and absorption or by shutting down, because they are nondestructive, the ability to show decomposed concentrations, fast response, high accuracy have been considered and used. In this research, a chemical sensor was synthesized PbS functionalized with gelatin quantum dots for the determination of toxic bentazon (BTZN) one of the most problematic pesticides polluting in water samples, and extremely harmful to humans and animals even at low concentrations. The calibration curve was linear in the range of (0.05 to 200.0 ng mL−1). The current response was linearly proportional to the BTZN concentration with a R2∼ 0.999. The standard deviation of less than (3%), and detection limits (3S/m) of the method (0.5 ng mL−1, in time 50 s, 325 nm) were obtained for sensor level response PbS Quantum Dot–Gelatin nanocomposites sensor with (99%) which is below the U.S. Health Advisory level. The observed outcomes confirmed the suitability recovery and a very low detection limit for measuring the BTZN. The method fluorometric introduced to measure BTZN in water samples was used and can be used for in different intricate matrices, the chemical PbS Quantum Dot–Gelatin nanocomposites sensor made it possible as an excellent sensor with good reproducibility. [ABSTRACT FROM AUTHOR]

The present work describes a method (SWASV) techniques for measure of tartrazine color a harmful compound present in real samples, and the extremely harmful to humans and animals even at low concentrations using G-C3N4 nanosheets sensor. Here, we report the use of an electrochemical approach for analytical determination of toxic tartrazine that takes 150 s. The calibration curve was linear in range of the (0.02–18.0 µmol L−1). The current response was linearly proportional to the tartrazine concentration with a R2∼ 0.999. We demonstrated a sensitivity a limit of detection of (0.022 µmol L−1). Finally, sensor nanosheets G-C3N4/CPE introduced to measure toxic tartrazine in different drink and foodstuff samples was used and the chemical nanosheets G-C3N4/CPE sensor made it possible as an excellent sensor with reproducibility for determination other samples. [ABSTRACT FROM AUTHOR]