Application of Optimization Response Surface for the Adsorption of Methylene Blue Dye onto Zinc-coated Activated Carbon.

The activated carbon was produced in the first phase of this investigation by chemically activating hazelnut shell waste with H3PO4. Composite materials were obtained by coating the activated carbon with zinc oxide, whose BET surface area was calculated as 1278 m2 g-1. ZnO-doped ZnO/AC composite was synthesized as an adsorbent for its possible application in the elimination of organic dyestuff MB, and its removal efficiency was investigated. Morphological properties of ZnO/AC were characterized using analytical methods such as XRD, SEM, and BET. The adsorption system and its parameters were investigated and modeled using the response surface method of batch adsorption experiments. The experimental design consisted of three levels of pH (3, 6.5, and 10), initial MB concentration (50, 100, and 150 mg L-1), dosage (0.1, 0.3, and 0.5 g 100 mL-1), and contact time (5, 50, and 95 min). The results from the RSM suggested that the MB removal efficiency was 98.7% under the optimum conditions of the experimental factors. The R2 value, which expresses the significance of the model, was determined as 99.05%. Adsorption studies showed that the equilibrium data fit well with the Langmuir isotherm model compared to Freundlich. The maximum adsorption capacity was calculated as 270.70 mg g-1.

Modeling of methylene blue removal on Fe3O4 modified activated carbon with artificial neural network (ANN).

In this study, AC/Fe3O4 adsorbent was first synthesized by modifying activated carbon with Fe3O4. The structure of the adsorbent was then characterized using analysis techniques specific surface area (BET), Scanning Electron Microscopy with Energy Dispersive X-ray Spectroscopy (SEM-EDX), and Fourier Transform Infrared Spectroscopy (FTIR). Equilibrium, thermodynamic and kinetic studies were carried out on the removal of methylene blue (MB) dyestuff from aqueous solutions AC/Fe3O4 adsorbent. The Langmuir maximum adsorption capacity of AC/Fe3O4 was 312.8 mg g-1, and the best fitness was observed with the pseudo-second-order kinetics model, with an endothermic adsorption process. In the final stage of the study, the adsorption process of MB on AC/Fe3O4 was modeled using artificial neural network modeling (ANN). Considering the smallest mean square error (MSE), The backpropagation neural network was configured as a three-layer ANN with a tangent sigmoid transfer function (Tansig) at the hidden layer with 10 neurons, linear transfer function (Purelin) the at output layer and Levenberg-Marquardt backpropagation training algorithm (LMA). Input parameters included initial solution pH (2.0-9.0), amount (0.05-0.5 g L-1), temperature (298-318 K), contact time (5-180 min), and concentration (50-500 mg L-1). The effect of each parameter on the removal and adsorption percentages was evaluated. The performance of the ANN model was adjusted by changing parameters such as the number of neurons in the middle layer, the number of inputs, and the learning coefficient. The mean absolute percentage error (MAPE) was used to evaluate the model's accuracy for the removal and adsorption percentage output parameters. The absolute fraction of variance (R2) values were 99.83, 99.36, and 98.26% for the dyestuff training, validation, and test sets, respectively.

The aspect of the study, which is expected to contribute to the literature, firstly, we performed the characterization process of the iron-coated activated carbon with analytical measurements. Then, we verified the adsorption process by performing pH effect, equilibrium, kinetic and thermodynamic studies. Our primary goal is to statistically demonstrate that efficiency estimation can be made in a shorter time with smart methods, especially by comparing real experimental results with ANN estimation results obtained from modern artificial intelligence techniques. We believe that this aim will provide a different perspective to the literature in terms of obtaining results with minimum cost and effort for these processes with high accuracy and consistency.

Methylene blue removal with ZnO coated montmorillonite: thermodynamic, kinetic, isotherm and artificial intelligence studies.

In this study, montmorillonite clay was coated with zinc oxide (ZnO) nanoparticles. The study's primary aim is to investigate the adsorption properties of zinc oxide coated montmorillonite adsorbent against methylene blue (MB), and determine ZnO's effectiveness in adsorption. First, the surface properties of the ZnO-coated montmorillonite (ZnO/MMT) adsorbent were determined by FTIR Spectroscopy, XRD, and SEM/EDS. In the adsorption studies, the effects of different parameters such as contact time (5-150 min), adsorbent dosage (0.05-0.5 g), initial concentration (50-200 mg/L), temperature (298-318 K), and initial pH (4-12) were investigated. In addition, a fuzzy model was developed by using adsorption parameters so that the removal rates could be calculated more quickly. Adsorption kinetics and equilibrium results were explained by the pseudo-second-order model and the Langmuir isotherm model, respectively. The highest adsorption capacity was calculated as 384.62 mg/g at 318 K. The enthalpy value was calculated as 2.16 kJ/mol. The entropy value was calculated as 0.04 kJ/mol K. The negative entropy value in the thermodynamic parameters calculated at all temperatures shows that the adsorption was spontaneous. According to the data we obtained, ZnO/MMT nanoparticles can be successfully applied for MB removal from aqueous solutions.

Due to its advantages such as high removal efficiency, ease of use and adsorbent recovery, the use of montmorillonite mineral (MMT) for the removal of dyestuffs in water has become widespread. But, up to the best of our knowledge, the role of ZnO in a composite of ZnO/MMT has not been reported for the removal of MB. To eliminate this deficiency, we first obtained a zinc oxide-coated montmorillonite (ZnO/MMT) adsorbent in our study. As an effective material for the adsorption of organic pollutants, a fuzzy model with an abundant, available and, low-cost Zinc oxide coated montmorillonite adsorbent was used for the first time. It has been observed that the adsorption level is comparable with some other materials previously studied in the literature.

Prepared activated carbon from hazelnut shell where coated nanocomposite with Ag+ used for antibacterial and adsorption properties.

In this research, prepared activated carbon by H3PO4 from hazelnut shells was coated with silver ions for the preparation of nanoparticles which were mixed in two ratios (1:0.5 and 1:1) by using of chemical reduction method. The adsorption capacity of activated carbons has been proven by BET and iodine number. Then, the antimicrobial effect of nanoparticles on the Staphylococcus aureus and Escherichia coli was investigated; in addition to that, the characterization of hazelnut shell and silver-coated activated carbons was determined by Brunauer-Emmett-Teller (BET), scanning electron microscope (SEM), Fourier transform infrared spectroscopy (FT-IR), and X-ray diffraction (XRD) methods. The optimum condition of activated carbon from hazelnut shells indicated that 66.01% carbon content within 36.22% efficiency, while BET surface area achieved as 1208 m2/g and its contained 0.6104 cm3 g-1 total pore volume. The microbial effect indicated that 105 CFU/mL of E. coli was completely inhibited in 30 min. Silver-coated activated carbon showed excellent bacteriostatic activity against E. coli and S. aureus. The results show that the composite has good prospects for applications in drinking water. E. coli of 104 CFU/mL in drinking water were destroyed within 25 min of contact with the filter made with AgAC.

Effect of Cu, Fe, Mn, Ni, and Zn and Bioaccessibilities in the Hazelnuts Growing in Sakarya, Turkey using In-Vitro Gastrointestinal Extraction Method.

Total concentrations of heavy metals such as Cu, Fe, Mn, Ni, and Zn in different hazelnut samples obtained by different regions of Sakarya city, Turkey were identified for the determination of heavy metal in the first section of this study. In the second section of our study, metal concentrations that can pass to the body by stomach and intestine in case of consuming hazelnuts as in vitro with gastrointestinal methods. It is performed by using enzymes and hydrochloric acid with model intestine and stomach system. In vitro gastrointestinal extraction method aims to identify how much the chemicals obtained by the sample matrices as vegetables, fruits, and soil, which are obtained within daily diet and examines the bioefficacy and bioaccessibility ingesting, used for evaluation of the chemical risk for humans were released. Total metal concentrations in the hazelnuts and metal concentrations passing to the stomach and intestines via in vitro gastrointestinal extraction method were identified with ICP-OES. As the result, heavy metal amounts of hazelnut samples are below the limits identified by Turkish Food Codex (TFC) and World Health Organization (WHO) and in harmony with the literature results so there is no objection in terms of health.

The Levels of Trace Elements in Honey and Molasses Samples That Were Determined by ICP-OES After Microwave Digestion Method.

The aim of this study is determining the amount of Al, Cu, Fe, Mn, Ni, Pb and Zn in samples of molasses and honey which were gathered from the Sakarya and Istanbul regions. In this study, trace elements in 8 honey and 20 molasses samples with different botanic features were evaluated. The sample preparation phase was performed via wet decomposition method and microwave digestion system. The accuracy of the method was checked by the standard reference material; tea leaves (INCY-TL-1) and NIST-SRM 1515-apple. The concentrations of essential trace elements (TEs) were observed in the range of 1.61 ± 0.01-287.03 ± 1.07; 0.21 ± 0.01-11.04 ± 0.12; 0.35 ± 0.03-21.71 ± 0.02 and 1.19 ± 0.01-60.90 ± 1.09 µg g(-1) for iron, copper, manganese and zinc ions, respectively, while the toxic element contents were observed in the range of 0.82 ± 0.17-3.06 ± 0.03; 0.04 ± 0.05-1.96 ± 0.03 and 0.62 ± 0.01-120.52 ± 0.10 µg g(-1) for lead, nickel and aluminum ions, respectively. The concentrations of basic TEs iron, copper, manganese and zinc were determined as 3.87 ± 0.04-16.76 ± 0.06; 0.45 ± 0.03-2.15 ± 0.01; 0.13 ± 0.01-15.02 ± 0.14 and 0.80 ± 0.09-12.03 ± 0.19 for honey samples. Also, toxic metal, lead, nickel and aluminum values in the honey samples were determined as 1.21 ± 0.12-2.46 ± 0.21; 0.28 ± 0.14-0.88 ± 0.43 and 2.11 ± 0.02-8.04 ± 0.08. A comparison between gathered data and literature values has performed and it is determined that such findings are suitable with the literature.

Influence of process parameters on the surface and chemical properties of activated carbon obtained from biochar by chemical activation.

Activated carbons were produced from biochar obtained through pyrolysis of safflower seed press cake by chemical activation with zinc chloride. The influences of process variables such as the activation temperature and the impregnation ratio on textural and chemical-surface properties of the activated carbons were investigated. Also, the adsorptive properties of activated carbons were tested using methylene blue dye as the targeted adsorbate. The experimental data indicated that the adsorption isotherms are well described by the Langmuir equilibrium isotherm equation. The optimum conditions resulted in activated carbon with a monolayer adsorption capacity of 128.21 mg g(-1) and carbon content 76.29%, while the BET surface area and total pore volume corresponded to 801.5m(2)g(-1) and 0.393 cm(3)g(-1), respectively. This study demonstrated that high surface area activated carbons can be prepared from the chemical activation of biochar with zinc chloride as activating agents.