Journal of Applied Materials and Technology
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Treatment of oilseed industrial wastewater using corncob modified with NaOH as an adsorbent under a fixed bed column
The treatment of industrial wastewater is a source of environmental concern due to the presence of various pollutants that could have detrimental effects on ecosystems and human health. This research aims to investigate the potential of using corncob treated with 1M NaOH as an adsorbent for the removal of pollutants from wastewater collected from Sunseed Nigeria Limited. Corncob, a byproduct of the agricultural waste, has shown capability as an adsorbent due to its high surface area and availability at low cost. The research involved the preparation of corncob adsorbent and its characterization using technique; Fourier-transform infrared spectroscopy (FTIR). Adsorption experiment was conducted using continuous study by a fixed bed column with a 5.0 cm internal diameter and a height of 45cm, to evaluate the efficiency of corncob in removing pollutants from oil seed industrial effluent. The initial concentrations of the pH, TSS, DO, BOD, COD, Lead and Cadmium were examined to be; 4.8, 360 mg/l, 110 mg/l, 40 mg/l, 7000 mg/l, 1.268 mg/l and 0.138 mg/l, respectively. The best removal efficiency for cadmium and lead were: 65.94% and 94.01%, respectively at pH of 6.5 and contact time of 6hrs. Furthermore, the removal efficiency for TSS, BOD, and COD were: 20%, 55% and 57.14%, correspondingly. It was therefore concluded that corncob has proven to be a potential material for the treatment of physico-chemical pollutants from industrial effluent. It is recommended that the corncob should be utilized in large amounts for the treatment of industrial effluents
A comparative study of data-driven models for discharge forecasting: a study case of Siak river, Pekanbaru water gauge station
The availability of long-term river discharge data covering at least 30 years is needed for proper hydrological studies, so the ability to predict river discharge is a matter of concern in the field of civil engineering. The Siak River in Pekanbaru City experiences overflowing water during the rainy season. One of the steps to prevent flooding on the Siak River is to utilize river discharge information, data-driven models utilize historical data to train or derive useful insights for predicting outputs, some data-driven models that are suitable for generating monthly historical data into new data include the Autoregressive Integrated Moving Average (ARIMA) method and the Thomas-Fiering method. The research begins by conducting the Rescaled Adjusted Partial Sums (RAPS) test to test the homogeneity of the data, then the prediction of discharge data with several schemes using the ARIMA and Thomas-Fiering methods, then the performance comparison between the two models is carried out using MAPE, RMSE, Nash-Sutcliffe, and correlation coefficient r. From the research results, it was found that the Thomas-Fiering method tends to be more accurate for predicting 1-year monthly discharge as well as long-term discharge, namely periods of 3, 5, and 7 years, with the best prediction being 1-year discharge prediction using 5 years of observed discharge with MAPE, RMSE, Nash-Sutcliffe, and correlation coefficient r values of 7.42%, 26.76 m3s-1, 0.92, and 0.96, respectively. This study could be a valuable reference for future studies in selection and further modification of data driven discharge simulation models
Microwave-assisted potassium hydroxide pretreatment to enhance enzymatic hydrolysis of rubberwood (hevea brasiliensis) sawdust
Rubberwood sawdust, a lignocellulosic resource derived from industrial and agricultural waste, has the potential for conversion into biofuel. Rubberwood sawdust underwent pretreatment to enhance the accessibility of cellulose to enzymes. The pretreated rubberwood sawdust was subsequently mixed with potassium hydroxide (KOH) solution at 1% and 2% (w/v) concentrations. Each mixture was heated conventionally for 30 min, followed by microwave penetration for 5, 10, 15, 20, and 25 min that operated at 360 Hz, with a power level of 10% (input microwave power 150 Watts). Enzymatic hydrolysis was conducted on the pretreated samples with enhanced cellulose yields for 1 h at 50oC. The result indicated that lignin content decreased from 29.83% (w/w) to 20.00% (w/w) and 17.36% (w/w) for 1% and 2% (w/v) KOH 25 min microwave penetration, respectively. The highest cellulose 43.73% (w/w), was obtained by 2% (w/v) KOH 25 min microwave duration. Samples were hydrolyzed for 1 h, 2% (w/v) KOH 25 min microwave exposure reached 0.027 g/L fermentable sugars. This method affected to lignin degradation, enhanced cellulose content to achieve higher sugar. The higher concentration of KOH resulted in significant lignin degradation. The microwave allowed for handling heat faster, saves energy and time, and creates less pretreatment waste
Characterization and impact of graphene oxide on the curing and mechanical properties of epoxy resins
Graphene oxide (GO) has been widely studied as a nanofiller for epoxy resins due to its excellent mechanical, thermal, and interfacial properties. In this study, GO was synthesized via electrochemical exfoliation and characterized using FTIR, XRD, TGA, and SEM. GO was incorporated into an epoxy matrix (Litestone 3200 resin with 2131H hardener) at different weight percentages (0.10%, 0.13%, 0.20%, and 0.50%), and the curing behavior was analyzed through differential scanning calorimetry (DSC). The cure kinetics were evaluated using the Kissinger and Ozawa methods. The results indicated that the activation energy increased at 0.13% GO but decreased at higher concentrations. TGA analysis showed that the addition of GO improved thermal stability, particularly at 0.10% GO. FTIR confirmed the presence of oxygenated functional groups in GO, XRD indicated partial exfoliation and structural disorder, and SEM revealed sheet-like morphology. These results were consistent and complementary, supporting the successful incorporation of GO into the epoxy network. The addition of GO slightly improved the mechanical modulus without significantly altering the glass transition temperature (Tg)
Photo-Fenton of Dyes Degradation Using Covalent Triazine Frameworks: Toward Industrial Wastewater Treatment Applications
A Covalent Triazine Framework (CTF-1) and carbon nanospheres (CS) were synthesized to develop a porous, thermally stable, and efficient photocatalyst for dye degradation in wastewater treatment applications. The synthesized composite material exhibited a high surface area exceeding 400 m²/g, a well-defined mesoporous structure, and excellent optical properties, including strong light absorption extending up to 550 nm and a moderate band gap of approximately 2.8 eV. These characteristics promote effective visible light-driven photocatalysis. The photocatalytic performance was assessed by degrading methylene blue (MB) as a model organic dye pollutant under photo-Fenton conditions. The system demonstrated high efficiency, with over 90% of the dye removed within 120 minutes of irradiation. The degradation followed pseudo-first-order kinetics, confirming the photocatalytic nature of the reaction. Parameter studies indicated that hydroxyl radicals (•OH) were the dominant reactive species responsible for dye degradation. Moreover, CTF-1 retained its photocatalytic activity and structural integrity over multiple reuse cycles, showcasing excellent reusability and stability. The integration of high surface area for dye adsorption, efficient photoactivation under visible light, and robust radical generation synergistically contributed to the enhanced degradation performance. The study highlights the promising role of CTF-1 and its composites as multifunctional materials for advanced oxidation processes. Given its effectiveness, durability, and environmental compatibility, CTF-1 presents a sustainable and scalable solution for the treatment of dye-laden industrial wastewater. This work contributes to the development of next-generation photocatalysts aimed at addressing global challenges in water pollution and environmental remediation
Synthesis of ?-MnO2@Mn2O3 and ?-MnO2 nanoparticles using tartaric/maleic acid and their enhanced performance in the catalytic oxidation of pulp and paper mill wastewater
Two MnOx, namely ?-MnO2@Mn2O3 and ?-MnO2 catalyst, were successfully synthesized using two different organic acids, tartaric and maleic acid, as a reduction in the redox process of KMnO4. The obtained catalysts are used in the AOP degradation reaction for paper mill effluent. The organic content in the effluent is analogous to the COD number in the effluent. The degradation process is depicted as a decrease in the COD number. The catalyst properties were characterized using X-ray diffraction (XRD), field emission scanning electron microscopy (FESEM), and N2 sorption. The obtained materials were then studied for PMS activation using Oxone® as a sulfate radical source for COD removal reactions. The ?-MnO2@Mn2O3, which is compromised by Mn (IV) and Mn (II, III), by using 0.3 gL-1 ?-MnO2@Mn2O3 has the best efficiency with almost 75% COD removal, higher than the ?-MnO2 catalyst. The activation energy of the ?-MnO2@Mn2O3 is measured up to 11.4 kJ mol-1
Redox-driven formation of hausmannite-type manganese oxide and its catalytic performance
Various manganese oxides have been reported to be an active catalyst for degradation of a dye. The synthetic manganese oxides can be conducted by several methods with the products having the different physicochemical properties and structures. This research focused on the synthesis of hausmanite-type manganese oxide (Mn2O3) by hydrothermal method with different mole ratio of KMnO4/glucose (3:1 and 2:3) and its application as a Fenton catalyst for the degradation of methylene blue (MB). The as-synthesized manganese oxides were then characterized by XRD for their structure and crystallinity and FTIR and Raman spectroscopy for the lattice vibrations. The average oxide state (AOS) of manganese in the as-synthesized manganese oxide was determined by the back titration method. The XRD results indicated the presence of mixed phases with hausmanite phase as major component and cryptomelane and birnessite phases as minor ones. FTIR spectroscopy results showed the presence of O-Mn vibrations at wavelengths of 468 cm-1, 487cm-1, and 726 cm-1. In addition, Raman spectroscopy results clearly showed the specific vibrations of hausmanite at 655 cm-1 and 653 cm-1, respectively. The low value of Mn AOS was obtained when the oxide was prepared in low ratio KMnO4/glucose and short reaction time. The as-synthesized hausmanite was tested as the Fenton catalyt for the degradation of MB. The as-synthesized hausmanite synthesized with different mole rasio and reaction time showed similar catalytic activity for the degradation of MB with the highest MB degradation of 90.76
Self-doped porous carbon derived from acacia plantation residues for green-supercapacitor in sustainable energy applications
To improve bio-organic-carbon quality for supercapacitors, consider using dual or more heteroatom for more profitable carbon-chain doping. Developing suitable sources and preparation strategies is challenging but essential. Herein, we introduce a potential carbon source derived from acacia plantation residues, doped with boron, oxygen, and phosphorus. The pore structure of this carbon material can be precisely tuned to exhibit a well-defined hierarchical arrangement of micro-, meso-, and macropores through a low-ratio of phosphoric acid (H?PO?) impregnation method combined with dual-environment (N2 and CO2) vertical pyrolysis in one step integrated. The resulting material displays a confirmed hierarchical morphology with a hierarchical transformation into tunnel pores, in specific surface area of 521.70 m²/g which contributed to high charge storage and deliverability. Additionally, the material contains significant levels of boron (0.93%), oxygen (9.19%), and phosphorus (0.34%), facilitating a reversible Faradic reaction in the working electrode. Consequently, optimized-electrode achieves a specific capacitance of 198 F/g at 1 A/g in H?SO? electrolyte. In a two-electrode system, records energy density of 14 Wh/kg (1 A/g) at a maximum power density of 670 W/kg (10 A/g). These findings suggest that the natural incorporation of boron, oxygen, and phosphorus enhances both the activity and the hierarchical pore structure of carbon derived from acacia plantation residues
Remediation of lead-contaminated sludge for soil conditioning using waste lemon peel
Enhancing soil fertility, organic matter, and nutrient content through sludge application to agricultural land is a promising approach to improve crop efficiency. Waste lemon peel, considered agricultural waste, has potential as a remediation agent for lead-contaminated sewage. This study examines the physical and chemical properties of lemon peel extract to evaluate its potential as a substitute for commercial fertilizer. The response surface methodology was employed to investigate the factors influencing the process. A multi-objective numerical optimization technique based on the desirability function was used to identify the optimal conditions for lead removal efficiency in contaminated wastewater. The study focuses on parameters such as pH, extractant concentration, and contact time. The optimization analysis achieved a maximum removal efficiency (ER) of 94.42% at a pH of 5.0, an extractant concentration of 20 g/L, and a contact time of 135 minutes. Under optimal conditions, the highest lead removal efficiency was 90.50%, while the lowest efficiency observed was 47.0%. The findings of this study underscore the significant issue of environmental contamination, particularly with heavy metals like lead, and highlight the necessity for sustainable and eco-friendly solutions. The effective use of lemon peel extract demonstrates its potential as a viable alternative for remediating lead-contaminated wastewater
Optimization and Predictive Modelling of Gravimetric Corrosion Characteristic of Irvingia Gabonensis Leaves Extracts as Anti Corrosion Inhibitor of Mild Steel in HCl Solution
In this research, the optimization and predictive modeling of gravimetric corrosion characteristics of Irvingia gabonensis leaf extracts (IGLE) as an anti-corrosion inhibitor of mild steel in hydrochloric acid were investigated. Design expert software version 11 were used to analyze the corrosion inhibition-related process characteristics, such as inhibition efficiency, corrosion rate, and weight loss, and their relationships. An effort were made to obtain the optimal conditions for these corrosion inhibition-related process characteristics. Weight loss measurement and design methodology were used for the evaluation of the inhibition efficiency of IGLE for mild steel in HCl. The corrosion inhibition process variables were optimized and predictive regression models were developed using Box-Behnken tool of the Response Surface Methodology (RSM). The findings showed that there were a good fit between the model predictions and the experimental results. The quadratic models developed were significant with P value less than 0.05. The research established an inhibition efficiency of 88.9%, a corrosion rate of 0.143mm/yr, and a weight loss of 0.02 g, which were obtained at the optimum conditions of an extract concentration of 0.6 g/L, an immersion time of 16 hrs, and a temperature of 298K.Therefore, the models were considered ideal for prediction with a confidence level of 95%, and the optimal combination is suitable for the corrosion inhibition process design. Hence these models can be recommended for applications such as oil well acidizing and pickling pipelines