جستجوی مقالات مرتبط با کلیدواژه « icp-oes » در نشریات گروه « شیمی »

The removal of disperse dye from wastewater is a critical and time-consuming task along with a significant issue raised by disperse dye in the development of toxic aromatic amines. Electrocoagulation (EC) is an advanced and economical water treatment technology that is successful in treating textile wastewater. However, the major issue in the EC process is on the choice of the electrode. In this study, the performance of Titanium (Ti)-Aluminium (Al) electrode on the degradation of aqueous Disperse Orange 30 dye at various operating conditions was studied. At pH 6, reaction time of 30 min and 10 V, the maximum removal efficiency of 97% was attained. The sludge was analyzed by EDX and the dissolution of Ti was less during the process. The formation of titanium oxide/hydroxides/oxynitride were confirmed by XPS analysis done on the sludge. To reuse the treated dye solution, it was subjected to ICP-OES analysis to determine the concentration of metals present. The results revealed that the solution contained 0.164 mg/L of Al and 0.001 mg/L of Ti indicating that the treated water can be reused. Phytotoxicity and eco-toxicity tests were performed on Brassica nigra and Catla catla, and it was found that the parameters tested with treated dye solution produced similar results to the control. The overall results reveal that Ti electrode dissolution was low and the dye water treated with Ti-Al electrode was appropriate for reuse.

This work reports on an inhibition and adsorption performance study of two quinazoline derivatives ((2-(2-chlorophenyl)-2,3-dihydroquinazolin-4(1H)-one) and (2-(2,4-dichlorophenyl)-2,3-dihydroquinazolin-4(1H)-one)) named ZB3 and ZB4, which were synthesized and examined using carbon nuclear magnetic resonance (13C NMR) and proton nuclear magnetic resonance (1H NMR) spectroscopy. The assessment of the corrosion prevention of these two compounds for MS in 1.0 M HCl was performed employing potentio-dynamic polarization (PDP) and (EIS) electronic impedance spectroscopy. The experiments performed showed that both derivatives operate well to prevent corrosion and their efficiencies exceed 85% at a concentration of 10-3. Moreover, it is discovered that the three chemicals' adsorption on the m-steel surface complies with Langmuir adsorption isotherm equation. The m-steel surface submerged in the corrosive solution was characterized by scanning electron spectroscopy (SEM) in conjunction with energy dispersive spectroscopy (EDS), spectroscopy using atomic force microscopy (AFM), X-Ray diffraction, and FTIR analysis. The findings showed that the examined inhibitors are well adsorbed, generating a barrier layer for the m-steel's surface. DFT calculations and Monte Carlo (MC) simulation were used to directly correlate the electronic and adsorption properties, respectively, with the experimental corrosion inhibition efficiencies obtained for quinazoline and its 2 investigated derivatives.

This study aims to determine the trace metals of (Mg, Fe, Cu, Pb, Cr, As, Ni, Zn, and Se) in some dried red plums specimens from Turkey. The metals in the dried red plum samples were determined using ICP-OES after solubilization in microwave digestion methods. With this technique, fast and high-precision determination of trace elements was made. Validation of the proposed method was carried out by using a NIST-SRM 1515-Apple Leaves certified reference material. Element concentrations in dried red plum samples were 44–47 (Mg), 15-18 (Fe), 03.1–3.2 (Cu), 4.1–4.4 (Pb), 1.4–1.6 (Cr), 1.1–1.3 (As), 2.5–2.8 (Ni), 3.4–3.7 (Zn) and 4.2–4.5 (Se) µg/g. The results were compared with the literature values.

A ligandless on-line solid phase extraction method was developed for the preconcentration of lead prior to quantitation by inductively coupled plasma-optical emission spectrometry. In this method, the sample solution was passed through a syringe membrane filter coated with graphitic carbon nitride and Pb(II) ions were directly adsorbed on the surface of g-C3N4 particles. The adsorbed Pb(II) ions were subsequently eluted from the membrane and transferred directly into the ICP-OES nebulizer with nitric acid solution. Under the optimized conditions and preconcentration of 25 mL of sample, the enhancement factor of 110 and the detection limit of 0.12 μg L-1 were obtained. The proposed procedure was applied for the preconcentration and determination of lead in environmental water samples.

Abstract A new adsorbent, ethylene glycol bisthioglycolate modified gold nanoparticles grafted Mn doped Fe3O4 nanoparticles (EGBTG-Au@Mn-Fe3O4 NPs) were synthesized through chemical precipitation followed by an oxidative Mn doping process to use for extraction and preconcentration of trace amounts of Hg, and Cu ions in artificial and natural saliva. The prepared adsorbent was characterized by TEM, BET, XRD and VSM techniques. Fusayama artificial saliva was prepared and used as blank sample and natural saliva was collected from nine volunteers ranged from 15-29 years old who exposed to posterior decayed teeth amalgam filling and short-term release of heavy metal ions was assessed in 24, 72 and 96 h after filling. Various factors affecting extraction/desorption efficiency of target ions have been investigated and analytical characteristics of the recommended method were determined. Detection limits of 0.12 and 0.09 ng mL-1 were obtained for Cu and Hg ions respectively with preconcentration factor of 96. The results revealed that the adsorbent has high adsorbent capacity and good reusability for extraction/preconcentration of target ions in relatively high saline solution like biological fluids.

There is a growing interest in the development of new methods for extraction of REEs from nuclear wastes.In this study, we fabricated a novel material composed of 1,10-phenanthroline-2,9-dicarboxilic acid (PDA)functionalized magnetic graphene oxide (Fe3O4/GO) for extraction of Sm(III) from aqueous solutions. Ourinterest in selection of carboxyl-containing ligand was due to its good coordination characteristic with Sm(III) which can be used to design a new sorbent. Under the optimized extraction conditions, the calibrationgraph for Sm (III) was linear in a concentration range of 6.2-784.5 μg L-1 with a correlation coefficient of0.9900. A detection limit of 1.4 μg L−1 with an enrichment factor of 125 was obtained. Precisions, expressedas relative standard deviation for single-sorbent repeatability and sorbent-to-sorbent reproducibility,were 5.9% and 8.7% (n =5), respectively. Finally, spiked sea and river waters were analyzed to evaluate theperformance of the proposed method. The high recoveries (>%97) indicate that the suggested protocol isacceptable for determination of Sm (III) ions in the water samples.

Ethylene glycol bisthioglycolate modified gold nanoparticles grafted Mn doped Fe3O4 nanoparticles (Au@Mn-Fe3O4 NPs) adsorbent was synthesized and applied for extraction and preconcentration of trace amounts of Ag+ and Pb2+ ions in artificial and natural saliva. The adsorbent was characterized by transmission electron microscopy (TEM), Brunauer–Emmett–Teller analysis (BET), X-ray diffraction spectroscopy (XRD) and vibrating-sample magnetometer  (VSM) [h1] techniques and Fusayama artificial saliva was prepared and used as a blank sample. Natural saliva samples were collected from nine volunteers who exposed to posterior decayed teeth amalgam filling, and short-term release of heavy metal ions was assessed in 24, 72 and 96 h after filling. The main factors affecting extraction and desorption efficiency of target ions have been investigated. In Optimum conditions, the detection limits of 0.23 and 0.11 ng mL-1 with preconcentration factors of 94 and 95 were obtained for Ag+ and Pb2+ ions, respectively. The results revealed that the adsorbent has high  capacity and good reusability for extraction and preconcentration of target metal ions in relatively high saline solution like biological fluids.

A simple and rapid method for the determination of 137Ba isotope abundances in water samples by inductively coupled plasma-optical emission spectrometry (ICP-OES) coupled with least-squares support vector machine regression (LS-SVM) is reported. By evaluation of emission lines of barium, it was found that the emission line at 493.408 nm provides the best results for the determination of 137Ba abundances. After recording the emission spectra in the range of 493.362-493.467 nm, quantification of 137Ba abundances was performed with the aid of LS-SVM algorithm. The obtained results revealed that using LS-SVM as a nonlinear modeling approach improves the predictive quality of the developed models compared with partial least squares (PLS) method. The calculated results proved that the combination of ICP-OES and LS-SVM is a suitable and low cost technique for the determination of 137Ba abundances. Performance of the proposed method was examined through measuring 137Ba abundances in synthetic mixtures and water samples.