研究目的
To prepare and characterize an activated carbon/metal-organic framework nanocomposite and use it for photocatalytic dye degradation from wastewater, with mathematical modeling using least squares support vector machine.
研究成果
The AC/MIL-88B (Fe) nanocomposite demonstrated superior photocatalytic activity (99% degradation) compared to individual components, with effective modeling using COA-LSSVM (R2=0.948). This composite is a promising candidate for dye removal from wastewater, supported by thorough characterization and kinetic analysis.
研究不足
The study is limited to specific conditions (e.g., pH range 3-10, dye concentrations 50-80 mg/L, catalyst loadings 0.02-0.05 g) and may not generalize to other pollutants or real wastewater matrices. Optimization and modeling rely on controlled lab settings, and scalability to industrial applications is not addressed.
1:Experimental Design and Method Selection:
The study involved synthesizing Kiwi peel activated carbon (AC), MIL-88B (Fe), and AC/MIL-88B (Fe) composite via hydrothermal methods. Photocatalytic degradation of Reactive Red 198 (RR198) was conducted under UV light with H2O2 as an oxidant. The least squares support vector machine (LSSVM) optimized with Cuckoo optimization algorithm (COA) was used for data modeling.
2:Sample Selection and Data Sources:
Kiwi peel was sourced from local farms in Iran. RR198 dye and other chemicals were commercially obtained. Experimental data on degradation efficiency were collected under varying conditions of pH, dye concentration, catalyst loading, and time.
3:List of Experimental Equipment and Materials:
Equipment included FTIR, BET-BJH analyzer, XRD, FESEM, EDX, TGA, UV–Vis/DRS spectrometer, autoclave, centrifuge, and UV light source. Materials included ZnCl2, KOH, FeCl3·6H2O, H2BDC, DMF, ethanol, H2O2, and RR198 dye.
4:Experimental Procedures and Operational Workflow:
Synthesis involved chemical activation and carbonization for AC, hydrothermal synthesis for MIL-88B (Fe) and composite. Photocatalytic tests involved adding catalyst to dye solution, stirring in dark for equilibrium, UV irradiation with H2O2 addition, sampling, centrifugation, and concentration measurement.
5:Data Analysis Methods:
Data were analyzed using LSSVM with COA optimization in MATLAB, with statistical parameters like R2, MSE, and AARD% for model validation. Kinetics were fitted to second-order models.
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FTIR
Analyze surface functional groups of materials
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BET-BJH analyzer
Measure surface area and pore volume
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XRD
Confirm crystal structure of materials
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FESEM
Observe particle size and morphology
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EDX
Perform chemical analysis
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TGA
Analyze thermal stability
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UV–Vis/DRS spectrometer
Measure optical properties and band gap
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Autoclave
Teflon-lined
Used for hydrothermal synthesis
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Centrifuge
Separate particles from suspension
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UV light source
Provide UV irradiation for photocatalytic degradation
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LSSVM Lab toolbox
LSSVM Lab 1.8
Suykens, Leuven, Belgium
Perform least squares support vector machine modeling
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MATLAB
MathWorks
Code and run COA optimization
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