Coagulant Dosage Research Articles

Treatment of Endocrine Pollutants Upstream of the Wadis Tghat and Zhoun of the City of Fez by Coagulation-Flocculation (Morocco)

In recent years, the quality of the surface water of the city of Fez has deteriorated due to the development of various anthropic activities, ill-considered modernization, unregulated discharge of wastewater and solid waste. This is a worrying threat to human health and the environment. Previous studies on these wadis have shown that Tghat and Zhoun wadis are the most polluted [1]; [2]; [3]. Adequate treatment of effluents upstream is therefore of crucial importance. The objective of this study is to contribute to the treatment of endocrine pollutants discharged upstream of these two wadis after their characterization and monitoring of their pollutant load for six months (El Madani et al., 2019). The most polluted wadis of the city of Fez [2] by coagulation-flocculation.The results showed that these effluents have a medium faecal load and are loaded by organic pollution at the limit of biodegradability rich in nitrogen and phosphorus matter and a high metallic load with endocrine disrupting effect, mainly Cr, As, Pb and Cd.The treatment of these pollutants by coagulation-flocculation with aluminum sulphate of the effluents studied under optimal conditions of pH, a dose of coagulant and flocculant and coagulation and flocculation agitation speeds, allowed the reduction of almost all the organic matter and 90 to 96% of the metal load.

Coagulant dosage prediction in the water treatment process

Abstract Coagulation is an important water treatment step in a water treatment plant (WTP). Jar tests are performed to determine the required dose of coagulant; however, these tests are slow to be performed and do not give a response in real-time to changes in raw water quality that changes abruptly during the day. To overcome this limitation, this research developed artificial neural network (ANN) models, using full-scale WTP data that served to calibrate the model and then predict the coagulant dosage, considering raw water as data input, in compliance with the treated water quality parameters. The best model was able to predict the coagulant dosage with a mean squared error of 0.016 and a correlation coefficient equal to 0.872. These results corroborate to promote coagulant dosage automation in WTPs, making it clear that ANN models allow a faster response in dosage definition and reduce the need for human interaction in the process.

Comparison of the Optimization of the Coagulation-Flocculation and Electrocoagulation Treatment of Slaughterhouse Wastewater Using the Response Surface Method

In this work, the coagulation-flocculation and electrocoagulation treatments were compared in the removal of pollutants from wastewater from the Conchucos slaughterhouse, Lima. For the coagulation-flocculation treatment, we worked with 4 independent variables with their respective experimental ranges, coagulant dose (600-1000 mg / L), flocculant dose (4-8 mg/L), fast stirring speed (250-350 rpm), slow stirring speed (80-100 rpm), for electrocoagulation the parameters of stirring speed (250-350 rpm) and stirring time (15-30 rpm). The central compound design method (DCC) optimizing by response surface (RSM) was used as an experimental method for the reduction of pollutants as a function of chemical oxygen demand (% COD), a jar test equipment was used for the coagulation-flocculation and a one-liter shaker with aluminum plate electrodes at 30 V. The results show that coagulation/flocculation and electrocoagulation presented statistical models with F-values of 5.33, 20.30, significance p<0.05, with adjustments of R2 of 0.6179, and 0.7571 for an optimal arrangement with %COD reduction prediction, respectively. The electrocoagulation treatment presented a reduction of 75.43% similar to the predicted model, of the 2 treatments compared, the electrocoagulation is below the maximum admissible values (VMA) in COD, BOD and Oils and Fats, complying with the necessary parameters for the discharge to the sewerage system.

Performance evaluation of biocoagulant for the effective removal of turbidity and microbial pathogens from drinking water.

In this study, Moringa seeds, aloe vera leaves, and cactus leaves were used as biocoagulants for the treatment of drinking water. The effects of coagulant type, coagulant dosage, and pH were studied on the quality of the treated water. Response surface methodology was used to predict and optimize the parameters. The standard Six Jar test was used to measure the performance of coagulants. Three mixing modes were used in the jar test: quick mixing at 1 min at 120 rpm, slow mixing for 19 min at 40 rpm, and 15 min settling. The characterization results showed that extracts of Moringa seeds, aloe vera leaves, and cactus leaves contain 43.95 ± 0.49, 13.9 ± 0.42, and 10.94% ± 0.37 protein, respectively. It was revealed that coagulant type, coagulant dosage, and the interaction between (coagulant type (MS-SC and AV-SC) and pH) were significant (p < 0.05) for turbidity removal. Jar test results showed a removal efficiency of turbidity 98.83%, and 98.74% and 69.83% using MS-SC, and AV-SC and Ca-SC bio, respectively. These results imply that the three coagulants can be considered as effective, low-cost, and eco-friendly resources for the treatment of drinking water in rural communities of Ethiopia where access to clean water is scarce.

Efficient purification of graphite industry wastewater by a combined neutralization-coagulation-flocculation process strategy: Performance of flocculant combinations and defluoridation mechanism

The wastewater generated by the graphite industry exhibits high acidity and contains elevated concentrations of toxic ions, posing challenges for its efficient and cost-effective treatment. This study presents a novel approach for treating graphite industry wastewater, involving a synergistic process that combines NaOH neutralization, Ca(OH)2 mid-stage coagulation, and compound agent flocculation. The results showed that when pH = 2 was adjusted with NaOH and continued to pH = 8 with Ca(OH)2, the amount of precipitation produced was 62% lower than that of the conventional Ca(OH)2 coagulation process. Based on the defluoridation mechanism, polyaluminum chloride sulfate (PACS) and poly(dimethyldiallylammonium chloride) (PDMDAAC) were identified as the best compound flocculants. The turbidity and fluoride removal efficiencies of raw water reached 99.37% and 99.80%, respectively, when the mass ratio was m(PACS:PDMDAAC) = 9:1, the stirring rate was 150 rpm, and the coagulant dosage was 170 mg/L. By using X-ray powder diffractometer (XRD), scanning electron microscope (SEM), and X-ray photoelectron spectroscopy (XPS) characterization, the flocculation-defluoridation mechanism of PACS in combination with PDMDAAC was examined for its synergistic effect. The flocculation-defluoridation mechanism confirmed that the adsorption complexation of Al3+ on F- is significant in the removal of low concentrations of fluoride ions. Practical applications have proved that this treatment strategy can effectively solve the problems of excessive sludge mass and low removal rate of fluoride and metal ions in graphite industrial wastewater treatment. This process provides a new idea to promote the application of combined flocculants in the large-scale treatment of industrial wastewater.

High-throughput screening to evaluate optimum coagulation conditions via colloidal stability analysis

Current methods of optimizing the coagulant dosage in wastewater treatment processes typically rely on the use of labor- and material-intensive jar testers, which are inadequate when coagulation processes require frequent adjustments due to variations in properties of the incoming feed. Analytical centrifuges (ACs) employ an integrated optics system that simultaneously monitors the position of the boundary between two separating phases in multiple samples of fairly low volumes (∼2 mL) – thus it was expected that ACs would be ideally suited to study the stability and settling kinetics of coagulation treatment processes. In this study, wastewater samples from a biogas generation facility (known as centrate) were collected in February 2022 (Batch A) and July 2022 (Batch B). A comprehensive screening of the treatment performance for Batch B was conducted at three pHs (5, 6, and 7) and nine concentrations of ferric chloride (0–500 mg-Fe3+/L) – it was found that the front-tracking profiles measured by the integrated optics system could be used to identify the minimal coagulation conditions needed to transition from slow to rapid settling. While the settling velocity was found to be well correlated with the instability index, a dimensionless number between 0 and 1 (where values closer to 1 indicate better separation), it was determined that the percentage of COD removal from the centrate samples increased up to an instability index of approximately 0.5 and then plateaued. Finally, it was found that the front-tracking profiles could be used to estimate the volume of sludge produced at various coagulation conditions. Thus, the results from this study establish ACs as an important screening tool for rapid evaluation of treatment performance while consuming minimal material and time – in this study, a total of 132 screening experiments were conducted using approximately ∼11 L of centrate and ∼6 hours of operator time.

Removal of Microcystis aeruginosa and its extracellular organic matters by using covalently bonded coagulant: An alternative choice in enhanced coagulation for algae-polluted water treatment

High coagulants dosage, Al or Fe residual, unstable flocs, and extracellular organic materials (EOM) released from cells cannot be avoided by using traditional Al or Fe based coagulants in algae removal. Thus, a novel covalently bonded coagulant poly aluminum ferrous chloride/cationic polyacrylamide (CAFM) was developed. The algae and EOM removal performance and mechanisms were investigated in current research. Al and Fe residual, cell integrity, and compactness of flocs were analyzed after coagulation. Furthermore, the disinfection by-products formation potential (DBPFP) and economics was also figured out to confirm the advantage of using CAFM. Results showed that 95.01% of turbidity and 99.3% of OD686 were effectively removed by using CAFM at 6 mg/L. Moreover, lower breakage probability of algae cells and denser flocs were realized by using CAFM compared to common used Al or Fe coagulants. In addition, lower Al and Fe residual and lower DBPFP were confimed in CAFM coagulation. DFT (Density functional theory) and ESP (Electrostatic Potential) results showed CAFM could combine bEOM (bonded extracellular organic matter) and dEOM (dissolved extracellular organic matter) through H-bond from Al atom in the covalent bond. Due to the introduction of various functional groups of different coagulants, charge neutralization and adsorption ability contributed to treating algae-containing water.

Applicability of central composite design and response surface methodology for optimizing treatment of landfill leachate using coagulation-flocculation

Without proper treatment, leachate can contaminate adjacent groundwater, soils, and streams, resulting in potential risks to public health, the environment, and surrounding biodiversity. This work aims to treat landfill leachate by coagulation-flocculation and optimize the results using the central composite design in combination with the response surface methodology in the Mohammedia-Benslimane landfill in Morocco. The optimization of the process allowed us to find optimal removal efficiencies of color, polyphenols, and nitrates, which reached 68.8%, 77.5%, and 81.0%, respectively. The optimum conditions in this study were pH 7.66, 9.5 g/L of coagulant dose, 9.1 ml/L of flocculant dose, and 10 min of agitation time. The models obtained for the 3 responses are reliable, reproducible, and well-fitted. By optimizing the leachate treatment at the Mohammedia-Benslimane landfill using coagulation-flocculation and the response surface methodology, our study offers an efficient and reliable approach to address the challenges of landfill leachate treatment. The results obtained from this research have significant implications for liquid waste management, particularly in the context of landfill leachate treatment.

Hydrodynamic modelling and performance assessment of continuous-flow single-channel reactor for river water turbidity removal using electrocoagulation process

A hydrodynamic modelling of a continuous-flow single-channel (CFSC) reactor was highlighted by means of Residence Time Distribution (RTD) experimental approach using stimulus response technique and three inlet flowrates (43.66, 79.40 and 115.10 L.h−1). Axial dispersion model (ADM) was applied for approximating the RTD experimental curves in order to check the flow patterns homogeneity and identify the possible flow deviations. The CFSC reactor was then evaluated for river water treatment by electrocoagulation process. At 43.66 L.h−1, dead zones were diagnosed within the CFSC reactor and corresponding experimental RTD curve deviated from ADM. At high inlet flowrates, the hydrodynamic behaviour was highly plug-flow (Pe > 100) without flow malfunctions and a satisfactory agreement was obtained between RTD experimental curves and ADM. In contrast, at 43.66 L.h−1, the CFSC reactor exhibited higher turbidity removal (of about 91.7%) compared to high inlet flowrates, indicating that the treatment efficiency depends mainly on coagulant dose electro-dissolved per unit of time rather hydrodynamic condition. However, the associated operating cost was relatively high at 43.66 L.h−1. As for the effect of initial water quality, it was observed that, for the same coagulant dose electro-dissolved, the treatment efficiency dropped as the initial turbidity of water decreased.

Removal of Reactive Red 141 and Disperse Red 13 Dyes from Aqueous Solutions Using Different Coagulants: An Optimization and Comparison Study

This study investigated the performance of different coagulants for the removal of different dye types from synthetic dye solutions. The ability to use each of the following: aluminium sulphate (Al2(SO4)3, aluminium chloride (AlCl3), and ferric chloride (FeCl3) as chemical coagulants were examined for removing reactive red 141 (RR 141) dye and disperse red 13 (DR 13) from dye solution. Coagulation studies determined the optimum pH, mixing time, coagulant dosages, and initial dye concentrations. The maximum efficiency for removing RR 141 was 65.7% by aluminium chloride at the operation condition of pH 8, mixing time 10 min, and dye concentration of 100 mg/L. In contrast, under the same conditions, ferric chloride could remove more than 98% of DR 13. Since the disperse dye type has better colour removal, the maximum volume of sludge was 0.3 kg/m3 which was produced when FeCl3 was used as a coagulant. The results demonstrated that coagulation is a promising technology for dye removal, especially for dispersed dyes as it has some characteristics such as colloidal dispersion and very low water solubility.

Ultrafiltration with in-line coagulation (FeCl3) to enhance arsenic removal and improve drinking water quality: From bench to pilot-scale

There is a growing interest in advanced technologies to guarantee drinking water safety in scenarios of increasingly polluted water sources. Based on that, this paper discusses the use of ultrafiltration membranes aided by in-line coagulation with FeCl3 (0.086 – 0.172 mg/L) to improve the resilience of drinking water treatment plants. The process was considered after the settling units and was first studied on a bench scale, later validated in a pilot plant that operated continuously for approximately 31 days. In experiments without an in-line dose of FeCl3, the average flux values corresponded to 189.9 ± 11.8 L/m2h, compared with 193.4 ± 5.3 L/m2h for experiments when the coagulant was considered. The flux decay was lower in experiments with an in-line dose of FeCl3 (J/J0 > 0.95) and analysis of particle sizes revealed that the average diameter increased from 24.1 to 29.2 µm after the coagulant was added. Consequences related to a greater particle size were a fouling layer more porous permeable, and with a lower hydraulic resistance. The additional coagulant dosage also acts on the residual natural organic matter, monitored by excitation-emission matrices. Furthermore, the results show that the concentrate recirculation to the beginning of the water treatment plant did not affect its overall performance. In fact, concentrate recycling would increase the recovery rate of ultrafiltration membranes and reduce losses during water treatment. Similar observations were obtained in pilot-scale operations, that validated the in-line dose on a more representative system that is closer to the full-scale treatment process.

Economic and social perspectives of implementing artificial intelligence in drinking water treatment systems for predicting coagulant dosage: A transition toward sustainability

The traditional determination of optimum coagulant doses in drinking water treatment plants (WTPs) using the jar test technique is time-consuming, expensive, significantly influenced by variations in raw water quality, and susceptible to human error. Therefore, this study employed an artificial intelligence (AI) technique, namely, artificial neural network (ANN), to predict the coagulant dosage and explore the economic and social perspectives of its implementation in waterworks. Data on raw water quality parameters obtained from a drinking WTP were utilized to develop prediction models. The results show that the proposed ANN model performed slightly better than the multiple linear regression (MLR) model regarding coagulant dosage prediction. With test data, the ANN model provided the mean absolute percentage error (MAPE), root mean square error (RMSE), and coefficient of determination (R2) values of 5.59, 2.49 mg/L, and 0.94, which were improved by 52.1%, 44.2%, and 17.1%, in comparison to the MLR model. The economic benefits from AI implementation in coagulation-flocculation operations could produce total savings of US$ 8036.44 per year, net present value (NPV) of US$ 18,154.81, and a discounted payback period of 3.4 years. Moreover, social benefits included safeguarding human health, decent job creation, and reliability and resilience of water production infrastructure. The adoption of AI in WTPs showed a strong linkage with multiple technological- and water-related sustainable development goals (SDGs) and associated targets. Identifying SDG correlations would aid in the sustainable planning and management of operational processes in WTPs worldwide.

Performance Optimization of Chemical and Green Coagulants in Tannery Wastewater Treatment: A Response Surface Methodology Approach

Vegetable tannery wastewater, highly laden with recalcitrant organics, is not easily treatable through biological processes. This study focuses on the use of response surface methodology in optimizing a coagulation-flocculation process for pretreatment of vegetable tannery wastewater. This study also assessed the possibility of replacing chemical coagulants such as aluminum sulphate with green alternatives such as cassava starch and orange peel powder. The effects of coagulant dosage and pH on three key wastewater quality parameters (chemical oxygen demand (COD) and total suspended solids (TSS)’s removal efficiencies as well as sludge volume index (SVI)) were also assessed. Quadratic models developed for all the three responses were adequate. The optimal conditions were attained at a pH of 3.17 and a dosage of 2.76 g/L for cassava starch coagulant, pH of 3.74 and a dosage of 5.16 g/L for orange peel powder coagulant, and pH of 6.09 and a dosage of 11.60 g/L for aluminum sulphate. The COD and TSS removal efficiencies as well as SVI achieved under these optimal conditions were 37.25%, 73.95%, and 14.80 mL/g, respectively, for cassava starch coagulant; 17.97%, 66.08%, and 19.87 mL/g, respectively, for orange peel powder coagulant; and 38.51%, 76.06%, and 29.57 mL/g, respectively, for aluminum sulphate. The outperformance of cassava starch over orange peel powder and its comparable results with aluminum sulphate makes the former a more environment-friendly alternative to aluminum sulphate for treatment of tannery wastewater.

Removal of Water Turbidity by Different Coagulants

During the last decade, there has been a concern about the relation between aluminum residuals in treated water and Alzheimer disease, and more interest has been considered on the development of natural coagulants. The present study aimed to investigate the efficiency of alum as a primary coagulant in conjunction with mallow, Arabic gum and okra as coagulant aids for the treatment of water samples containing synthetic turbidity of kaolin. Jar test experiments were carried out for initial raw water turbidities 100, 200 and 500 (NTU). The optimum doses of alum, mallow, Arabic gum and okra were 20, 2, 1 and 1 mg/L for100 NTU turbidity level, 35, 4, 2 and 3 mg/L , for 200NTU turbidity level and 50, 8, 10 and 8 mg/L for 500 NTU turbidity level, respectively. The optimum pH was 7 for alum, and 7.5 for mallow, Arabic gum and okra. The residual turbidity was 3.34 to 6.81 NTU by using alum as a primary coagulant with mallow, Arabic gum and okra, and pH values of the treated water by the natural coagulants were 6.1 to 7.01. The optimum dose of thenatural coagulants in the present study has higher efficiency in removing high turbidity in comparison with low turbidity.Natural coagulant showed many advantages in coagulation/flocculation process. By using natural coagulants, considerable decreasing in Al2(SO4)3 consumption, and Increasing in the rate of sedimentation can be achieved.

Pilot-scale study on the performance of high-rate DAF based on removal of organic precursors and formation characteristics of disinfection by-products

In recent years, there has been an increased focus on the design and development of dissolved air flotation (DAF) with a high surface loading rate (SLR), but little research has been conducted using advanced natural organic matter characterization techniques. This research thus investigates the performance of pilot-scale DAF (10–30 m h–1) and compares them with those for a full-scale coagulation–flocculation–sedimentation (CFS) system based on the reduction of organic precursors, different molecular weight (MW) fractions characterized by liquid chromatography with organic carbon detection, and disinfection by-products. The removal of dissolved organic carbon (DOC) decreased with increasing SLR, ranging from 29 % to 38 %. This may be because of the short flocculation retention time for high SLR. Thus, achieving a similar removal of DOC by high SLR required higher coagulant doses. Furthermore, the organic precursors were measured lower in the high-rate DAF effluent than the CFS, maybe because of the high coagulation pH of the CFS effluent (7.5–8). Similarly, the concentration of different MW fractions, especially biopolymers and building blocks, was lower in the high-rate DAF effluent than in the CFS. The removal of biopolymers was 74.64 % and 87.20 % for the CFS and high-rate DAF, respectively. Likewise, 2.78 % and 27.09 % for the CFS and high-rate DAF, respectively, for building blocks. The normalized trihalomethanes/DOC and chloralhydrate/DOC were higher for the CFS than the high-rate DAF. Coagulation chemistry (pH, coagulant doses, and retention time) strongly influences the DAF and CFS unit performance and should not be neglected.

Palm oil mill effluent (POME) precipitation using ammonium-intercalated clay coagulant

Clay intercalation has been completed to improve coagulation ability using ammonium ions intercalant via multi-step intercalation. The intercalated clay was confirmed by Scanning Electron Microscope-Energy Dispersive Spectroscopy analysis of expanded lamellar and reduction impurities. Fourier Transform Infra-Red analysis confirmed the sharp and strong peak adsorption at 1448 cm-1 as ammonium (NH4+) bendingvibration, and X-Ray Diffraction analysis confirmed the peak shifting to smaller 2? at 10.08° as increasing basal spacing because of ammonium ion intercalated. The Palm Oil Mill Effluent (POME) coagulation was carried out using contact time and coagulant dose variations to determine the optimum conditions, reaching 45 minutes of coagulation and 0.4 g coagulant was used. Furthermore, the turbidity, free fatty acid, and total suspended solids were measured to reach the reduction values of 93%, 49.7%, and 73.7%, respectively. The reusable study of ammoniumintercalated clay confirmed the stability of the three cycles of coagulation used.

Optimization of Sumatera Bentonite by Ammonium-impregnated as a Coagulant for Cassava Wastewater Treatment

The original Sumatera Bentonite (SB), which has been impregnated to be ammonium bentonite (NH-B), was applied as a cassava wastewater coagulant. The modification was conducted using multi-step impregnation initiated by bentonite activation (sodium cation exchange), followed by ammonium impregnation. The optimization parameter focused on the coagulant dose that was used. The result of cassava wastewater coagulation by the ammonium-impregnated bentonite (with dose: 0.4 g/100 mL) shows high-efficiency reduction for turbidity up to 73.97% (from 1099 to 186 NTU), Total Suspended Solid up to 86.56% (from 588 to 79 mg/L), and Chemical Oxygen Demand up to 88.6% (from 559.7 to 63.3 mg/L). The existence of ammonium impregnated is characterized by X-Ray Diffraction analysis based on 2theta shifting at 10° and Fourier Transform Infra-Red analysis at 464, 521, and 1429 cm−1 as ammonium binding.

Feasibility Study of the Implementation of a Wastewater Treatment Plant in the City of Tulear Madagascar 2018

The city of Tulear is undergoing environmental degradation. The wastewater is heavily polluted, the average values observed for biological oxygen demand (282,347 ± 76,907 mg.L-1), chemical oxygen demand (579,302 ± 161,102 mg.L-1), and suspended solids (859,114 ± 816,707 mg.L-1) are above the standard discharge values. This study allowed us to design a treatment system and to make a technical, economic, environmental and social assessment of the treatment plant. Thus, the treatment method chosen is the physico-chemical process of coagulation – flocculation –filtration. Indeed, for a population of 368,020 inhabitants, the average hourly discharge rate is estimated at 662.436 m3/d. In addition, the number of bars for grids n°1 and n°2 are respectively 34 and 140, the surface of the sedimentation basin is estimated at 204,5m2, the optimal dose of coagulant (Al2(SO4)3) and flocculant (polyacrylamide) for the coagulation-flocculation basin are respectively 300 mg.L-1and 2 mg.L-1and this gives a considerable drop in suspended solids of the order of 15,22 mg.L-1after treatment. For the settling basin, the volume of clarifier is estimated at 306,68m3, finally the sludge produced is estimated at 1613,66 m3.

Treatment of greywater by adsorption and coagulation with Hibiscus Sabdariffa as the natural coagulant

Abstract Greywater refers to wastewater from showers, baths, basins and washing machines. Recycled greywater can be used for crops irrigation, toilet flushing, and other activities that does not require fresh water. Coagulation is an effective, simple, and cheap process to treat greywater with the use of coagulants. The studies show that the use of chemical coagulants pose threat to the environment, produce large amount of sludge and have severe effect on human health. This study uses Hibiscus Sabdariffa seeds as natural coagulant, as they are biodegradable, non-toxic, and safe for human health. The seeds of Hibiscus Sabdariffa are usually discarded, thus using them as natural coagulants makes it cost-effective. Another process of adsorption was also studied in this work due to its effectiveness in treating wastewater. Activated carbon have been studied as an adsorbent due to its low-cost and sustainability. The aims of this paper are to investigate the performance of the seeds and adsorbent by differing pH, coagulant dosage, and adsorbent dosage. Jar test was carried out by varying pH of 2-12, coagulant dosage of 20-120 mg/L and adsorbent dosage of 0.5-5g. The process involved rapid mixing for 4 minutes, slow mixing for 25 minutes and 30 minutes of sedimentation time. By carrying out the experiment, it was found out the seeds of Hibiscus Sabdariffa showed best performance at pH 2, coagulant dosage 20 mg/L with the turbidity removal and COD removal of 91.3% and 43%, respectively. For the process of adsorption, highest turbidity and COD removal were determined to be 98.6% and 61.6% respectively with the pH 2 and adsorbent dosage of 3g. The combined process of adsorption-coagulation shows best performance at pH 2, coagulant dosage 4 mg/L and adsorbent dosage of 1.6g with the turbidity and COD removal of 98.3% and 85% respectively. This study shows the potential in Hibiscus Sabdariffa seeds and activated carbon to treat greywater for reuse.

Drying of Artocarpus Heterophyllus and is application in treating dye wastewater

Coagulation is a common technique used in wastewater treatment plants to remove dissolved chemicals, turbidity, and colours. Aluminium sulphate (alum), the most common coagulant, has recently been connected to both Alzheimer’s disease and environmental issues. In order to deal with these issues, researchers are considering the possibility of developing a natural coagulant that is safe for both humans and the environment. In this research, Artocarpus Heterophyllus (Jackfruit) seeds were used to make a natural coagulant, and their use in the treatment of coloured wastewater was implemented. This study examined the effects of hot air-drying temperatures on the Jackfruit seed moisture content. Jackfruit seed application in dye wastewater treatment was also optimised via several experiments with varying coagulation parameters generated via central composite response surface design (CCD). Jackfruit seed drying and protein extraction are two crucial steps in making natural coagulants. Jackfruit seeds were dried in an oven at 40°C, 50 °C and 60°C to collect drying data. Drying information for the optimum air-drying temperature that produces the shortest drying time was used to generate five drying kinetic models. Based on the results of this research, 60°C hot air-drying temperature was chosen as the optimal drying temperature for Jackfruit seeds, resulting in the shortest total drying time of just 5 hours. Once the optimum hot air-drying temperature was recorded, five thin drying kinetic models were used to determine which module best explained the drying kinetics at the optimum hot air-drying temperature. Microsoft Excel solver was used to calculate the values of X2, R2, and RMSE. The kinetic model with the lowest X2 and RMSE was selected. The modified Midilli model was chosen as the best kinetic model for representing the drying performance of Jackfruit seeds, as it had the lowest X2 and RMSE. After that, the protein was extracted from jackfruit seeds that had been dried at 60°C for 5 hours. In order to extract the protein from jackfruit seeds, 2 g of dry seeds were dissolved in 100 mL of distilled water, blended, and filtered before being used in the Jar test. The initial concentration of dye wastewater, the pH of the wastewater, and the coagulant dosage were the main parameters in the jar test. Maximum colour removal of 85.81% was attained during Jackfruit seed-based dye wastewater treatment when the initial concentration of dye wastewater was 400 ppm; the coagulant dosage was 100mg/L, and the pH was 2. Therefore, these were chosen as the optimum parameters for treating dye wastewater with Jackfruit seeds.