Central Composite Face-centered Research Articles

Experimental investigation of material extrusion additive manufacturing of copper with high powder loading rate

Beam-based additive manufacturing has challenges in fabricating pure copper due to high reflectivity. Material extrusion additive manufacturing (MEAM) avoids these issues with low costs, making it suitable to fabricate complex structures in pure copper. In this work, the effects of several printing parameters on the geometry of the samples are studied from single line, thin wall to cube using homemade copper feedstocks with high powder loading rate (65 vol%). The results show that the single line is most affected by layer thickness, while the thin wall has stricter requirements for printing temperature and printing speed. The geometric accuracy of the cube demonstrates large parametric tolerance due to the overlap and support between the lines. Central composite face-centered (CCF) design and central composite design (CCD) are used to analyze and optimize process parameters for densification. The measured porosity at the optimized printing (printing temperature = 177 °C, air gap = −0.05 mm, layer thickness = 0.3 mm) and sintering parameters (sintering temperature = 1045 °C, holding time = 4 h) is in good agreement with the predicted values. Air gap and sintering temperature have the greatest influence on the porosity, and other parameters within a certain range of on-demand adjustments do not have a significant effect. The ultimate tensile strength and elongation of the sintered samples under the optimal parameters are 153.9 ± 6.1 MPa and 31.36 ± 3.24%, respectively. No printing defects are found at the fracture and the elongation is good, showing the effectiveness of the parameter optimization.

Statistical Design-Guided Synthesis of Nanoarchitectonics of High-Performance NiFeMoN Electrocatalyst through Facile One-Step Magnetron Sputtering.

This study presents an innovative, statistically-guided magnetron sputtering technique for creating nanoarchitectonics of high-performing, NiFeMoN electrocatalysts for oxygen evolution reaction (OER) in water splitting. Using a central composite face-centered (CCF) design, 13 experimental conditions are identified that enable precise optimization of synthesis parameters through response surface methodology (RSM), confirmed by analysis of variance (ANOVA). The statistical analysis highlighted a interaction between Mo% and N% in the nanostructured NiFeMoN and found optimizing values at 31.35% Mo and 47.12% N. The NiFeMoN catalyst demonstrated superior performance with a low overpotential of 216mV at 10mA cm-2 and remarkable stability over seven days, attributed to the modifications in electronic structure and the creation of new active sites through Mo and N additions. Furthermore, the NiFeMoN coating, when used as a protective layer for a Si photoanode in 1m KOH, achieved an applied-bias photon-to-current efficiency (ABPE) of 5.2%, maintaining stability for 76 h. These advancements underscore the profound potential of employing statistical design for optimizing synthesis parameters of intricate catalyst materials via magnetron sputtering, paving the way for accelerated advancements in water splitting technologies and also in other energy conversion systems, such as nitrogen reduction and CO2 conversion.

Enhance performance ZnO/ Bi2MoO6/ MIL-101(Fe) grown on fluorine-doped tin oxide as photoanode and CuO/ Cu2O based on Cu mesh photocathode in the photocatalytic fuel cell

The photocatalytic fuel cell (PFC) is a combined strategy for pollution removal and energy recovery. Electrochemical and photodegradation properties obtained at the ZnO/ Bi2MoO6/ MIL-101 (Fe)/ FTO photoanode are higher than ZnO/ Bi2MoO6/ FTO and ZnO/ FTO. Open and closed-circuit tests in the PFC system reveal that the closed-circuit has a better removal efficiency. Under optimal conditions (Pollutant concentration = 40 ppm, radiation intensity = 9.25 mW/cm2, pH = 6, irradiation time = 90 min), the removal efficiencies of tetracycline and TOC are 95.1 % and 89.6 %, respectively. The maximum power, short-circuit current, and open-circuit voltage are obtained at 30.58 µW/cm2, 139.2µA/cm2, and 772 mV, respectively. The central composite face-centered (CCF) method is assessed and optimized concerning the process factors effect at optimal conditions. The effect of electrolytes supporting Na2SO4, NaCl, and NaHCO3 electrolytes is evaluated. The NaCl improves the removal efficiency, while the cyclic voltammetry reveals that the current density is better for Na2SO4. For photodegradation and photo electrochemistry, photoanode has good stability after five cycles.

Synthesis and characterization of Bi2MoO6/MIL-101(Fe) as a novel composite with enhanced photocatalytic performance: Effect of water matrix and reaction mechanism

The integration of Bi2MoO6 with MIL-101(Fe) as a novel structure enhanced photocatalytic activity for RhB degradation. Bi2MoO6/MIL-101(Fe) composites were synthesized via the solvothermal procedure and characterized by XRD, EDX, FE-SEM, TEM, FT-IR, BET, TGA, UV–vis DRS, and PL. The optimal molar ratio Bi2MoO6:MIL-101(Fe) equal to 1:1 showed better photocatalytic activity than Bi2MoO6 and MIL-101(Fe) and other heterostructure composites. The effect of pH (5–9), reaction time (60–120 min), catalyst concentration (0.1–0.5 g/L), and dye concentration (10–20 ppm) were investigated on the removal performance of RhB by using central composite face-centered (CCF). In the optimal process factors where the [Catalyst]:0.4 g/L, [RhB]:20 ppm, pH: 6.5, irradiation time: 120 min, the RhB and TOC removal efficiency were 85% and 84.2%, respectively. The holes and superoxide radicals played a major role in the degradation of RhB. The addition of salt (NaCl, Na2SO4, and NaHCO3) at different concentrations (100, 200, 400, and 800 ppm) revealed that the salts have an inhibitory role in the photocatalytic performance. At low concentrations of 100 ppm, the salts had a negative effect on removal efficiency (kPure water = 0.0155 min−1, kNaCl = 0.0075 min−1, kNa2SO4 = 0.0132 min−1, kNaHCO3 = 0.006 min−1). Increasing the salt concentration to 800 ppm caused improved efficiency for NaCl (kNaCl = 0.0141 min−1), while for Na2SO4 this trend was decreasing (kNa2SO4 = 0.011 min−1), and for NaHCO3 sharply diminished (kNaHCO3 = 0.0026 min−1).

Novel application of in vitro disinfection for modeling the biofilm formation inhibition, antimicrobial susceptibility and antibiotic resistance of Pseudomonas aeruginosa: a study of free and combined chlorine compounds.

Biofilm formation and antibiotic resistance are the most important ways in which water bacteria such as Pseudomonas aeruginosa are protected against antibacterial agents. The aim of this study was to develop a rapid and cost-effective laboratory method for modeling and optimizing chlorine disinfection conditions. Critical factors (disinfection type, concentration, contact time and pH) were tested on bactericidal effect, inhibition of biofilm formation (IBF) and antibiotic susceptibility (AS) of P. aeruginosa. The central composite face-centered (CCF) design was applied to model the effect of disinfection process on the IBF and AS. The results showed that the IBF response was more affected by the strain type of P. aeruginosa and the type of disinfectant, which may be due to previous species growth conditions of the standard strain and greater durability of CAT in water. Optimization of factors affecting disinfection had a significant effect on the planktonic form, but was not effective in removing the biofilm of P. aeruginosa. Furthermore, the concentration of NaOCl and CAT was more effective than pH on planktonic and biofilm cells inactivation. The model of AS was weaker than other models due to limited contact time and use of high concentrations of disinfectant. The use of chlorine compounds based on the recommended levels in water does not prevent the formation of P. aeruginosa biofilm. According to the optimization findings, although increasing the contact time and concentration of the disinfectant increases the bactericidal effect of chlorine, it can also increase the resistance of P. aeruginosa to some antibiotics.

Application of a central composite face-centered design in the optimization of an Archimedean hydrokinetic turbine

Currently, in the literature, there are no general guidelines for the optimal hydraulic design of Archimedean screw turbines (AST) used in hydrokinetic applications. Therefore, this study is aiming at selecting the most significant geometric factors, such as the diameter ratio between the inner (𝐷𝑖 ) and the outer (𝐷𝑜) diameters (i.e., 𝐷𝑖/𝐷𝑜), the axle length (𝐿) and the blade stride (𝑝), influencing the AST performance by using a central composite face-centered (CCF) experimental design combined with the response surface methodology (RSM). The statistical analysis of variance (ANOVA) test identified with a significance level of 0.05 that the most significant variables on the performance of the turbine were 𝑝 and 𝐷𝑖/𝐷𝑜. The AST efficiency was evaluated by means of the power coefficient (𝐶𝑃), which was calculated by means of computational fluid dynamics (CFD) methods coupled with the 6-degrees of freedom (6-DoF) approach. The second-order polynomial model was used to predict the 𝐶𝑃 and the coefficient of determination (𝑅 2 ) was found to be 97.4%.

Modified μ-QuEChERS coupled to diethyl carbonate-based liquid microextraction for PAHs determination in coffee, tea, and water prior to GC–MS analysis: An insight to reducing the impact of caffeine on the GC–MS measurement

A fast, sensitive and eco-friendly method was developed for the determination of fifteen polycyclic aromatic hydrocarbons (PAHs) in different environmental matrices through gas chromatography mass spectrometry (GC–MS). The method utilizes a modified and miniaturized quick easy cheap effective rugged and safe (QuEChERS) clean up procedure coupled to an air-assisted dispersive liquid–liquid microextraction (AA-DLLME) for the enrichment of the concerned compounds. The AA-DLLME uses diethyl carbonate (DEC) as a green bio-based solvent for the microextraction. DEC is considered as biodegradable (with octanol/water coefficient < 3, resulting in low potential of bioaccumulation), classified as a green solvent and considered as one of the recommended solvent alternatives based on SSG results. The AA-DLLME procedure was optimized by One-Variable-at-A-Time (OVAT) succeeded by experimental design applying Central Composite Face-centered (CCF) design. The method linear calibration was found in the range of 10–120 µg/Kg for Benzo[a]pyrene and 5–100 µg/Kg for all other PAHs with low detection limits ranging from 0.01 to 2.10 µg/Kg. It could enrich the PAHs up to 166-folds. The combination of modified μ-QuEChERS with the green AA-DLLME could sharply decrease the caffeine amount on the final extract injected to the GC–MS instrument. The method was successfully applied to coffee, tea, and water samples with acceptable % recovery (>90%). Finally, the impact of our procedure to the environment from green analytical chemistry view was assessed by a novel metric system called AGREE, proving the greenness of our procedure.

Investigation on Fabrication of SS316 Gear by Wire-EDM

Manufacturing of miniature gears with good accuracy and quality, and at low cost is a challenging task for traditional manufacturing processes. Wire-cut electric discharge machining (WEDM) has the capacity to machine any conductive material to fabricate typical shaped products like gears with high level of accuracy and quality. In present research, stainless steel (SS) alloy 316 is used to fabricate miniature gears by WEDM. The experimental array is designed according to Response Surface Methodology (RSM) based central composite face centered (CCFC). Four input parameters namely servo feed (SF), duty factor (DF), servo voltage (SV) and wire feed (WF) with three levels each are used for experimental array to investigate the process performance in terms of cutting rate (CR), and product i.e. gear quality in terms of mean roughness depth (Rz) and dimensional deviation (DD). After WEDM parameter optimization, confirmation experiments are performed at the parametric setting by considering equal importance to all response variables. A very close agreement between the experimental and predicted values have been observed.

Bisphenol A removal by the Chlorophyta Picocystis sp.: optimization and kinetic study

The Chlorophyta Picocystis sp. isolated from a Tunisian household sewage pond appears promising for effective removal of Bisphenol A (BPA). Efficient and cost-effective technology for contaminants remediation relies on a tradeoff between several parameters such as removal efficiency, microorganism growth, and its tolerance to contaminant toxicity. This article demonstrates the optimum conditions achieving the highest removal rates and the minimal growth inhibition in batch cultures of Picocystis using response surface methodology. A central composite face-centered (CCF) design was used to determine the effects on removal and growth inhibition of four operating parameters: temperature, inoculum cell density, light intensity, and initial BPA concentration. Results showed that the maximal BPA removal was 91.36%, reached the optimal culture conditions of 30.7 °C, 25 × 105 cells ml−1 inoculum density, 80.6 µmol photons m−2 s−1 light intensity, and initial BPA concentration of 10 mg l−1. Various substrate inhibition models were used to fit the experimental data, and robustness analysis highlighted the Tessier model as more efficient to account for the interaction between Picocystis and BPA and predict removal efficiency. These results revealed how Picocystis respond to BPA contamination and suggest that optimization of experimental conditions can be effectively used to maximize BPA removal in the treatment process. Highlights Surface response methodology was applied for optimization of BPA removal by the Chlorophyta Picocystis sp. Temperature, light intensity, inoculum cell density and initial BPA concentration were selected as factors that may affect BPA removal and microalgae growth. The optimal conditions for the maximum BPA removal and minimum growth inhibition were 30.7 °C; 80.6 µmol photons m−2 s−1; 25 × 105 cells ml−1 and 10 mg l−1 BPA. Teissier model was selected to fit the kinetic of BPA removal by Picocystis with R 2 = 0.92.

Control scheme selection and optimal tuning in industrial process control using factorial experiment design

In this study, a novel experimental approach for the optimal selection of an actuator-based control strategy is presented. The proposed approach is a two-stage method: first, a two-level factorial experiment design with n factors (2n) was applied to compare different control schemes. Schemes comparison was carried out in terms of energy consumption and closed-loop performance. For the best relative scheme, a Central Composite Face-centered (CCF) design was completed obtaining the controller parameters that optimize the performance in terms of the Integral Absolute Error (IAE) while operating in a region of low energy consumption. The proposed approach was experimentally tested using real data obtained from a laboratory prototype plant. Some experimental tests illustrating the suitability of our method are shown at the end of this article.

A detailed study on the sorption characteristics of humic acid onto calcined dolomite

Removal of unsafe materials in wastewater is of great significance to the environment. In this study, humic acid has been investigated as the research material for its adsorption characteristics (equilibirium, kinetics and thermodynamics). Dolomite has been used as adsorbent after calcination process of dolomite by heating to 1100 °C. The calcined material has been analyzed by Fourier Transform Infrared Spectroscopy (FT-IR) and X-ray Diffraction (XRD) methods for characterization reasons. On the other hand, conditions of the adsorption process have been optimized with Central composite face-centered (CCFC) design of Response Surface Approach (RSA). The findings of the current study will be the first to optimize the process conditions for the humic acid adsorption by a statistical experimental design approach. Moreover, equilibrium, kinetic and thermodynamic parameters have been determined to be able to interpret the nature of the current adsorption process.

Optimization of sulfuric acid leaching of a Vietnamese rare earth concentrate

The modeling of Yen Phu (Vietnam) xenotime concentrate leaching by sulfuric acid was studied for the purpose of optimizing the process. The response surface methodology (RSM) based on a central composite face-centered (CCF) design was empirically used to model the interactive effect of the independent variables, namely leaching temperatures of 250–450 °C, acid/concentrate (acid/conc.) mass ratios of 0.8–1.8, and leaching times of 2–6 h, on the dependent response, namely the leaching yield. And a CCF model for the leaching of the concentrate was proposed that exhibited good consistency with the experimental data. The shrinking core models for spherical particles of constant size based on the Arrhenius equation were empirically used to study the kinetics of the leaching. The activation energies calculated from the kinetic models for the chemical reaction and diffusion rate stages have the same value of 17.3 kJ·mol−1, which fitted well to a mixed control model of the chemical reaction followed by a diffusion stage at leaching temperatures in the range of 473–593 K. The kinetic studies of the leaching indicated that the leaching percent rate (or leaching yield) is controlled by the leaching temperature. The optimization of the leaching process was estimated by analyzing the contributions of the coefficients of the CCF model to the leaching yield. The results indicated that the effect of leaching temperature on leaching yield is the strongest; it is five times higher than that of the acid/conc. Mass ratio and four times higher than that of the leaching time. The effects of acid/concentration mass ratio and leaching time on leaching yield are insignificant. In addition, the optimum data for leaching are as follows: the leaching temperature, acid/conc. Mass ratio, and leaching time are 320 °C, 1.3, and 4 h, respectively. The proposed CCF model and kinetic study suggested that the optimization of the Yen Phu xenotime concentrate leaching is controlled by the leaching temperature; and the CCF model can potentially be applied in the commercial operation of Yen Phu xenotime concentrate leaching after pilot tests on 50 kg dry concentrate per batch.

Cleaner production of micronutrients from sesame seed pressed cake: a comparative study

This work presents the valorisation of a biowaste obtained from sesame oil production by using ultrasound-assisted (UAE) extraction, which is an environmentally friendly method consuming relatively less energy. Sesame seed pressed cake provided from different origins (Sudan, Turkey, and Yemen) was extracted by two solvent systems (ethanol and methanol). The response surface approach (RSA) as a statistical experimental design method has been utilized for the investigation of experimental design, optimization, and process parameter effect through central composite face-centered (CCFC) design of RSA. The optimum conditions for sesame seed pressed cake extraction are as follows: in regard to ethanol (EtOH), amplitude was 38.62% along with 44.68% of EtOH solution for 63.31 min with respect to sesame seed pressed cake of Sudan; regarding Turkish samples, the amplitude was 38.5% along with 54.18% of EtOH solution for 59.72 min, whereas the optimal conditions were found as 39.01% of amplitude, 60.69 min of extraction time, and 56.62% of EtOH solution for the sample from Yemen to obtain the maximum yields of each dependent variable such as total phenolics (TP) and total flavonoids (TF). Concerning methanol (MeOH), amplitude was 36.79% along with 72.73% of MeOH solution for 60.01 min with respect to sesame seed pressed cake of Sudan; regarding Turkish samples, the amplitude was 37.04% along with 71.49% of MeOH solution for 60.08 min, whereas the optimal conditions were found as 37.79% of amplitude, 60.69 min of extraction time, and 79.96% of MeOH solution for the Yemeni samples.

Vortex-assisted deep eutectic solvent reversed-phase liquid–liquid microextraction of triazine herbicides in edible vegetable oils

In this study, four triazine herbicides—namely, simazine, ametryn, prometryn and terbuthylazine—were separated and determined using high-performance liquid chromatography coupled with ultraviolet detector (HPLC-UVD). The deep eutectic solvent (DES) formed by tetrabutylammonium chloride ([N4444]Cl, TBA) and ethylene glycol (EG) was selected as the extraction solvent of vortex-assisted reversed-phase liquid-liquid microextraction (VA-RPLLME). The application of the hydrophilic DES expands the range of choice for LLME. The experimental parameters affecting the extraction recoveries, including the amount of the DES, the sample volume and the vortex time, were investigated and optimized by the design of experiments (DoE) methodology. A quadratic model, namely central composite face-centered (CCF) design featuring 20 runs was used instead of the conventional trial and error approach. Under optimum conditions, the limits of determination (LODs) of the method were 0.60–1.50 μg L−1. The enrichment factors for the analytes ranged from 27 to 31. The extraction recoveries were in the range of 84.1–104.9%, and the intra-day, inter-day and intermediate relative standard deviations (RSDs) were less than 8.4%. Finally, the method was applied for the determination of triazine herbicides in vegetable oil samples. The obtained recoveries were in the range of 60.1–107.2% and RSDs were lower than 8.1%. In general, VA-RPLLME can be complementary to the present available methods for the determination of triazine herbicides in vegetable oil samples.

Microwave hydrodiffusion and gravity for rapid extraction of essential oil from Tunisian cumin (Cuminum cyminum L.) seeds: Optimization by response surface methodology

Recently, microwave hydrodiffusion and gravity (MHG) pushed the confines of the microwave assisted extraction (MAE) further toward an innovative, quick, efficient, and eco-friendly process for plant secondary metabolites extraction. The goal of this study was to optimize the microwave hydrodiffusion and gravity (MHG) process for the extraction of the essential oils (EO) from Tunisian cumin (Cuminum cyminum L.) seeds. The effects of different parameters: microwave irradiation time (8, 12, and 16 min), microwave irradiation power (150, 200, and 250 W), and moisture content (40, 50, and 60%), on the extraction yield were achieved using the response surface methodology (RSM) with central composite design (CCD). In order to elucidate the efficiency of the MHG, it was compared with conventional hydrodistillation (HD) in terms of kinetic, quantity and quality of obtained EO, environmental impact, and energy consumption. Results showed that, under the optimum conditions defined by the central composite face-centered (CCF) and calculated by the analysis of variance (ANOVA) (16 min of microwave irradiation time, 203.30 W of microwave irradiation power, and 44.67% of moisture content), the yield of cumin essential oil obtained with MHG was 1.579 ± 0.05%. Meanwhile, compared with the HD process, the MHG successfully improved the EO yield (1.579 ± 0.05% versus 1.550 ± 0.07% with HD) in shorter extraction time (16 min versus 150 min with HD), less electrical consumption, lower carbon dioxide emissions (CO2), and smaller volume of waste water. Using the GC-FID and GC–MS analysis, the MHG provided more valuable EO with high amount of oxygenated compounds compared with the HD. Scanning electron micrograph (SEM) confirmed the efficiency of MHG for EO extraction. Thus, MHG appeared like rapid process, green technology, and desirable alternative protocol to enhance the quantity and the quality of the essential oil extracted from the medicinal and aromatic plants (MAPs).

The effect of nano-silica and waste glass powder on mechanical, rheological, and shrinkage properties of UHPC using response surface methodology

This study provides the experimental and statistical modeling in order to increase the performance of ultra high performance concrete (UHPC) within reducing the cement consumption. Also showing the effect of waste glass powder and nano silica fume on mechanical, rheological, and shrinkage properties. For this purpose, a fraction of binder was added with the range of 0–5% of nano-silica fume and fraction of Portland cement were substituted with 0–20% of waste glass powder, the maximum particle size of 63μm. The mechanical properties were obtained by testing on 28 days compressive strength. The rheological property found by doing the flow test. Numbers and randomization orders of experiments were designed by central composite face-centered (CFC) and modeled by response surface methodology (RSM). The validity of models was controlled by analysis of variance (ANOVA). The study showed adding nano-silica and waste glass powder and especially their interaction improved the properties of UHPC.

Demonstrating the viability of halolipase production at a mechanically stirred tank biological reactor

The definition of halophiles as “the coming stars of industrial biotechnology” in a recent review demands new research efforts for their efficient production at bioreactor scale. In this sense, the scarcity of information about halolipases production has furthered the research on the viability of Halomonas sp. LM1C culture in a mechanically stirred bioreactor. The operating conditions have been optimized by means of a Central Composite Face-Centered (CCFC) design. The operation at low aerations (0.25 vvm) and moderate agitation rates (583 rpm) led to activity levels near 8000 U/L, which clearly surpasses the typical values detected for other extremophilic enzymes. The process at optimum conditions has been kinetically characterized and the oxygen volumetric mass transfer coefficient (KLa) has been determined.

Improvement of Bending Strength of Resin Coated Sand

This research proposed a method to improve bending strength of RCS used in hollow core production by finding the optimal levels of factors in the mixing process. Process factors under study were temperature of sand, time to release phenolic resin, time to release hexamine solution, time to start air blowing, air blowing time duration, and time to release calcium stearate. Experiments with Central Composite Face-centered (CCF) design were performed to save the number of experimental runs. Then, backward elimination regression analysis was performed to find out the relationship equation of bending strength and significant process factors. Next, the optimization technique was applied to determine the optimal setting of those significant process factors. The comfirmatory result showed that bending strength was significantly improved.

OPTIMIZING THE PROCESS OF TRANSFORMING COFFEE HUSKS INTO BIOCHAR BY MEANS OF HYDROTHERMAL CARBONIZATION

The conditions of the hydrothermal carbonization process to produce biochar from coffee husk will be optimized for maximum yield. Besides, response surface methodology (RSM) and central composite face-centered (CCF) method will be used in designing experiments. Also, the optimal value of factors such as temperature, time and biomass: water ratio which can provide a maximum yield of biochar will be worked out using Modde 5.0. As a result, the optimal conditions for maximum yield of biochar was obtained as temperature of 180 oC, 3.5 h and biomass: water ratio of 15 %. It can also be concluded that temperature has greater impact on the transformation of biochar than time and biomass: water ratio.

Application of Response Surface Methodology for Coffee Effluent Treatment by Ozone and Combined Ozone/UV

ABSTRACTThis paper reports a study using ozone (O3) and combined ozone/ultraviolet (O3/UV) processes for color removal and caffeine degradation from synthetic coffee wastewater using a second-order response surface methodology (RSM) with a three-level central composite face-centered (CCF) design. The effects of O3 concentration, initial pH, and reaction time were examined for both processes. The reaction time and pH were statistically significant for caffeine degradation and color removal. In the ozonation process, higher caffeine degradation and color removal were observed in alkaline pH, indicating that ozone attacks indirectly, consequently generating hydroxyl radicals. Regarding the ozone/UV process, it was observed that lower caffeine degradation and color removal occurred at neutral pH, indicating an adverse effect due to lower ozone dissolution and consequently the production of a smaller amount of free hydroxyl radicals. The achieved results showed that the techniques were efficient for color removal (85% and 99%, respectively) and caffeine degradation (88% and 98%, respectively).