Sugar Industry Wastewater Research Articles

Development and performance of microalgae-based symbiotic systems for high-strength chemical oxygen demand wastewater treatment from the sugar mills

Agricultural and agro-industrial activities have risen exponentially to meet the ever-growing demand for food, energy, and other important resources. High freshwater consumption occurs in these sectors and is discharged as effluent containing excessive organic loads that require treatment. In this study, microalgal, bacterial, and fungal (yeast) isolates native to the sugar industry effluent were screened for effective chemical oxygen demand (COD) removal from wastewater when co-cultured. The microalgae-bacteria consortium (MBC) comprised Chlorella sorokiniana A7 and three bacterial strains including Rhodococcus sp. B009, Bacillus sp. B010, and B013; whilst the microalgae-yeast consortium (MYC) consisted of Chlorella sorokiniana A7 and Saccharomyces cerevisiae Y2. When the Chlorella sorokiniana-based symbiotic systems were characterized in sugar industry wastewater, excellent COD removal efficiencies were achieved compared to the axenic Chlorella sorokiniana A7. The COD removal efficiencies were 86 %, and 71 % after 96 h of cultivation for MBC, and MYC, respectively. After 168 h of cultivation in wastewater, ≥90 % of COD removal efficiency was observed in both MBC and MYC systems. The MYC also showed improved chlorophyll-a content, photosynthesis, and respiration in Chlorella sorokiniana A7. This study has demonstrated the efficiency of Chlorella sorokiniana-based consortium systems that could be used as eco-friendly and sustainable bioremediation tools for high-strength COD wastewater streams. An insight into mechanisms of interactions between Chlorella sp., and co-cultured microbial strains grown in sugar industry wastewater still needs further studies.

Stacked machine learning approach for predicting evolved hydrogen from sugar industry wastewater

The wastewater generated by the sugar industry contains high levels of organic pollutants, posing significant environmental and health risks. Traditional treatment methods often fall short in effectively managing these pollutants, necessitating innovative approaches for wastewater treatment and hydrogen production. In this study, machine learning (ML) algorithms are explored to predict hydrogen evolution from sugar industry wastewater treated via photocatalytic oxidation using solar-driven photocatalysts. By leveraging ML-driven models, we aim to streamline experimental procedures, reduce costs, and enhance energy efficiency. Our proposed stacking model, which combines Random Forest, Gradient Boosting, XGBoost, and Extra Trees, achieved superior results with R2 values of 0.9933, 0.9866, and 0.9906, and mean squared errors (MSE) of 0.0350, 0.0412, and 0.0412 for GLFO, GBFO, and GLRO, respectively. These results demonstrate the significant advantages of using ensemble techniques, particularly our proposed stacking method, which outperformed all individual models. The blending model, which averaged predictions from XGBoost and Gradient Boosting, also performed well with R2 values of 0.9866, 0.9811, and 0.9820, and MSEs of 0.0702, 0.0815, and 0.0795 for GLFO, GBFO, and GLRO, respectively. This study highlights the efficacy of ensemble methods in predicting hydrogen production, providing a novel and effective approach for wastewater treatment and renewable energy generation.

Mitigation of Sugar Industry Wastewater Pollution: Efficiency of Lab-Scale Horizontal Subsurface Flow Wetlands

Mitigation of Sugar Industry Wastewater Pollution: Efficiency of Lab-Scale Horizontal Subsurface Flow Wetlands

Treating Wastewater from a Sugar Mill by Identifying and Removing Major Impurities Using the Eletrocoagulation: A Review

Abstract: The purpose of this paper is to cover the whole research occurs over a period of 2006 to 2020 through literature review. In this research we take the review on the removal of heavy metals from sugar industrial wastewater through electrocoagulation process. This work is done to see the effect of Electrocoagulation process on various properties through previous research completed during the above period

Treatment of Sugar Industry Wastewater via Fenton Oxidation with Zero-Valent Iron

The sugar industry is a significant contributor to wastewater production, primarily due to its substantial water usage. The treatment and reuse of this wastewater have become pressing concerns. In the present study, sugar industry wastewater was treated via Fenton oxidation using zero-valent iron (ZVI). The study focused on assessing the impact of key reaction parameters, namely pH, ZVI amount, [H2O2]0 on the removal of TOC. Optimal reaction conditions for the Fenton oxidation process were identified, with a pH of 3.5, 2 g/L of ZVI, and 4 mM of H2O2, resulting in nearly 65% of TOC removal. The kinetic study revealed that the observed reaction adhered to a second-order kinetic reaction model. Furthermore, the activation energy for this observed reaction was determined as 49.14 kJ/mol. These findings suggest that Fenton oxidation, utilizing ZVI, holds promise as an effective method for treating wastewater originating from the sugar industry.

Effectiveness of Sugarcane Bagasse Adsorbent Combined with Aquaponics System as an Innovation for Absorbing Contaminants in Sugar Industry Wastewater

The sugar industry in its production produces by-products in the form of bagasse and liquid waste, both of which, if allowed to exist, can damage the ecosystem and the life of aquatic biota. Sugarcane bagasse contains cellulose which can be an adsorbent to reduce pollution in rivers. Apart from that, kale plants have the ability to release H ions which can reduce pollution by attracting heavy metal ions. The aim of this research is to determine the effectiveness of adsorbents from sugar cane bagasse in combination with aquaponics to reduce river pollution from liquid waste from the sugar industry. The research method used in this study was a completely randomized design with 2 factorials, namely the amount of adsorbent and the length of contact time of the adsorbent. The results of the research that has been carried out are obtained, the pH value is 6, the ammonia value is 0 mg/L, the TSS value is 150 mg/L, the DO value is 4.9 ppm, the BOD value is336 mg/L and the COD value is 254 mg/L. The conclusion of this research is that the combination of sugarcane bagasse adsorbent and an aquaponic system has been proven to reduce the concentration of pollutants in river water pollution caused by sugar industry wastewater.

Performance comparison of a photosynthetic and mechanically aerated microbial fuel cell for wastewater treatment and bioenergy generation using different anolytes

The use of expensive catalyst or mechanical aeration to carry out reduction reaction at cathode of conventional microbial fuel cell makes it costly and less efficient. Photosynthetic microbial fuel cell (PMFC) provides an option to overcome these issues by using microalgae as a biocatalyst at cathode chamber. This study aimed at assessing the performance of photosynthetic microbial fuel cell (PMFC) and its comparison with mechanically aerated MFC (MAMFC). The performance of both the systems was evaluated for two different anolytes namely, domestic wastewater and sugar industry wastewater. The PMFCs were inoculated with biocatalyst of Scenedesmus sp. in cathode chamber. Results showed that photosynthetic aeration significantly improved the efficiency of PMFCs as compared to MAMFCs. Maximum working voltage of 316 and 515 mV was achieved by PMFC with domestic wastewater and sugar wastewater, respectively, which was 15 % and 20 % higher than corresponding voltage of MAMFCs. Polarization and power curves showed that higher power density and lower internal resistance was achieved in PMFCs as compared to MAMFCs with both anolytes. Effect of light/dark regime on PMFCs resulted in a rise and drop pattern of dissolve oxygen and voltage generation. During light cycle, the average voltage was 214 mV and 370 mV for PMFC with domestic wastewater and sugar wastewater, respectively, which was 55 % and 54 % higher than corresponding dark cycle. Overall, the findings of the study suggested that PMFC support better power generation as compared to MAMFC, besides nutrients removal and production of algal biomass.

Effect of Operational Parameters on Anaerobic Digestion of Municipal and Sugar Industry Wastewater

Effect of Operational Parameters on Anaerobic Digestion of Municipal and Sugar Industry Wastewater

A Perspective Review on Sugar Industry Wastes, Uses and Treatment Techniques

The increase in sugarcane production involves a proportional increase in sugar industry waste. As a result of such a growing trend, the sugar industry is observing severe environmental problems due to a lack of permanent solution for their waste management. Therefore, immediate consideration is needed to find suitable methods of waste management. The sugar industry waste and effluent are the main sources of environmental pollution and associated with health risks. In this paper, various sources of solids and liquids wastes from the sugar manufacturing industry are reviewed. Different effective and economical sugar industry wastewater treatment techniques are also discussed. The sources and uses of some waste like bagasse, bagasse fly ash, and pressmud have also been discussed.

The environmental impact of the sugar industry waste in Sudan

The purpose of this study was to investigate the impact of Sudanese sugar manufacturing waste on the communities surrounding the industries. The study employed a cross-sectional survey in which 311 respondents living in factory areas. The selected sugar industries included Kenana, Guneid, Halfa, Sinnar, Assalaya, and White Nile. Data were analyzed using SPSS version 19. Descriptive statistics, nonparametric statistics, and logistic regression were employed. The results showed that wastewater discharge has a significant (P < 0.05) effect on community health. Respondents indicated that the waste creates an ideal environment for parasites to reproduce, off-odors to develop, and ultimately contamination of water. A multinomial logistic regression model showed that wastewater (i.e., off-odors and mosquitoes) have significant (P 0.05) influences on causing health risks (i.e., malaria) to people living around sugar factories. The study also revealed that the lack of sugar industry wastewater management has significantly affected crop and animal production. The suspended particles and bagasse fly were significant (P 0.05) in causing eye and respiratory system diseases in the region. Health services provided by the industries significantly (P = 0.05) impacted community satisfaction. In this regard, the study designed a framework for enhanced handling the industrial waste to be adopted by the Sudanese sugar industry decision-makers. A framework was developed to reduce the impact of waste to the lowest possible level by improving management strategies sufficiently to minimize its impact.

Does Industrial Wastewater Irrigation Cause Potentially Toxic Metal Contamination and Risk to Human Health? Sugar Industry Wastewater and Radish Examples.

The goal of this study was to appraise potentially toxic metal contents in the soil-radish system in industrial wastewater irrigated areas. The analysis of metals in water, soil and radish samples were performed with spectrophotometric method. The potentially toxic metal values in the wastewater irrigated radish samples were ranged from 1.25 to 1.41, 0.02 to 0.10, 0.77 to 0.81, 0.72 to 0.80, 0.92 to 1.19, 0.69 to 0.78, 0.08 to 0.11, 1.64 to 1.67 and 0.49 to 0.63mg/kg for Cd, Co, Cr, Cu, Fe, Ni, Pb, Zn and Mn, respectively. The potentially toxic metal values in the soil and radish samples irrigated with wastewater were lower than the maximum allowable limits, except for Cd. The results of the Health Risk Index evaluation conducted in this study also showed that the accumulations of Co, Cu, Fe, Mn, Cr, and Zn, especially Cd, pose a health risk in terms of consumption.

Electromagnetic field-enhanced novel tubular electrocoagulation cell for effective and low-cost color removal of beet sugar industry wastewater

The treatment of real beet sugar mill effluent by a modified electrocoagulation process is proposed. An innovative design of an electromagnetic field-enhanced electrochemical cell consisting of a tubular screen roll anode and two cathodes (an inner and outer cathode) has been used. Different parameters have been investigated including current density, effluent concentration, NaCl concentration, rpm, number of screen layers per anode, and the effect of addition and direction of an electromagnetic field. The results showed that, under the optimum conditions, current density of 3.13 A/m2, two screens per anode, NaCl concentration of 12 g/l, and rotation speed of 120 rpm, the percentage of color removal was 85.5% and the electrical energy consumption was 3.595 kWh/m3. However, the presence of an electromagnetic field distinctly enhanced the energy consumption and the color removal percentage. Numerically, applying the magnetic field resulted in performing a color removal efficiency of 97.7% using a power consumption of 2.569 KWh/m3 which is considered a distinct achievement in industrial wastewater treatment process. The strong enhancement in color removal using a low power consumption significantly reduced the required treatment cost; the estimated treatment cost was 0.00017 $/h.m2. This design has proven to be a promising one for the continuous treatment of beet sugar industrial effluents and to be a competitor to the currently available techniques.

Treatment of Sugar Industry Wastewater by Using Subcritical Water as a Reaction Media

AbstractThe sugar industry is one of the most wastewater‐producing industries and it contains high content of organic and inorganic substances. Treating and reusing wastewater has significant importance because sugar industry needs to use a high volume of water. In this study, sugar industry wastewater was treated under subcritical conditions and the impacts of reaction temperature and duration over TOC removal percentage were investigated. Additionally, the impact of NaOH concentration over TOC removal percentage was examined. The highest TOC removal was obtained almost 95 % in the presence of 0.1 M of NaOH at 240 °C for 90 min of reaction duration. Treatment of sugar industry wastewater by subcritical water oxidation followed the second‐order reaction kinetic model and the activation energy was found as 11.41 kJ/mol. Furthermore, the intermediate products were identified via GC‐MS.

Color and chemical oxygen demand removal using homogeneous and heterogeneous Fenton oxidation of sugar industry wastewater

Color and chemical oxygen demand removal using homogeneous and heterogeneous Fenton oxidation of sugar industry wastewater

Efficient mineralization of sugar industry wastewater by catalytic wet air oxidation as an eco‐friendly method and its kinetic modelling

AbstractIn this study, catalytic wet air oxidation using lanthanum cobalt oxide (LaCoO3) as catalyst was employed for the efficient treatment of synthetic sugar industry wastewater in a single process. A parametric study was performed to determine the optimum conditions. The results showed that reaction temperature and theoretical air percentage were the most effective parameters. Sugar derivatives were almost completely destroyed at the optimum conditions and total organic carbon (TOC) and chemical oxygen demand (COD) removals were determined as 91% and 87%, respectively, indicating a high mineralization degree, which was the main goal of advanced oxidation. The reaction kinetics were investigated by pseudo‐homogeneous and heterogeneous models based on two different parameters: sucrose and TOC concentration. The degree of fit showed that the reaction order was determined as two for the pseudo‐homogeneous approach. According to the surface concentration calculations for heterogeneous models, the presence of mass transfer limitations was only observed for oxygen as gas reactant. All heterogeneous models also fitted the reaction rate data accurately, but the Mars–van Krevelen was the selected model for sucrose and TOC oxidation with the best fit.

TREATMENT OF FOOD-AGRO INDUSTRY EFFLUENT BY PHYSICO-CHEMICAL METHODS

The sugar industry wastewater contains huge amount of pollutants. Different treatment methods for the effluent are available like biological, ion-exchange, electrocoagulation, ozonation, coagulation-flocculation and adsorption etc. Rapid development by industrialization in developing countries, less environment friendly measures cause of water pollution. This in turn, results in lack of quality for drinking and irrigation. Single treatment way is not feasible to treat the highly polluted effluent and not possible to manage the permissible limits of National Environmental Quality Standards which is getting more strict with passage of time, by the regulatory bodies like Pakistan Environmental Protection Agency in Pakistan. In this study the effluent was treated by coagulation followed by activated charcoal. Three coagulants, alum, ferric chloride and ferrous sulphate were applied. Using different doses of coagulants and activated charcoal achieved remarkable results. The total dissolved solids were decreased upto 87% and total suspended solids upto 98%.

Synthesis and characterization of polyamine-based polyelectrolytes for wastewater treatment in the sugar industry

The treatment of sugar industrial effluent is an enormous task because of the very high load of turbidity, chemical oxygen demand (COD), biological oxygen demand (BOD), total suspended solids (TSS), high or low pH value and oil & grease. The polyelectrolyte in conjunction with inorganic coagulant was used successfully for its treatment. Four new polyamine-based cationic polyelectrolytes have been synthesized. These polyelectrolytes were characterized by FTIR, 13C NMR, 1H NMR, gel permeation chromatography (GPC), and were exploited in the sugar industry wastewater. Cationicity of polyelectrolytes was also determined, and the polyelectrolytes’ efficiency was calculated at different coagulants and flocculants dosages. Based on the result obtained by four polyelectrolytes, it was observed that polyelectrolytes with a 1.5:1 molar ratio of epichlorohydrin: diphenylamine has given the best result in the removal of pollutants from sugar industry wastewater. The result was found to be consistent in all kinds of pollutants of sugar industry suspension with a 1.5:1 molar ratio of epichlohydrin: diphenylamine polyelectrolytes.

Box-Behnken Design for Hydrogen Evolution from Sugar Industry Wastewater Using Solar-Driven Hybrid Catalysts.

Hydrogen is a clean and green fuel and can be produced from renewable sources via photocatalysis. Solar-driven hybrid catalysts were synthesized and characterized (scanning electron microscopy (SEM), transmission electron microscopy (TEM), Brunauer-Emmett-Teller (BET), X-ray diffraction (XRD), photoluminescence (PL) spectroscopy, and UV-vis diffuse reflectance spectroscopy (DSR)), and the results implied that graphene-supported LaRuO3 is a more promising photocatalyst to produce hydrogen and was used to produce hydrogen from sugar industry wastewater. To investigate the main and interaction effects of reaction parameters (pH, catalyst amount, and [H2O2]0) on the evolved hydrogen amount, the Box-Behnken experimental design model was used. The highest hydrogen evolution obtained was 6773 μmol/gcat from sugar industry wastewater at pH 3, 0.15 g/L GLRO, and 15 mM H2O2. Based on the Pareto chart for the evolved hydrogen amount using GLRO, among the main effects, the only effective parameter was the catalyst amount for the photocatalytic hydrogen evolution from sugar industry wastewater. In addition, the squares of pH and two-way interaction of pH and [H2O2]0 were also statistically efficient over the evolved hydrogen amount.

Photo-degradation of sugar processing wastewater by copper doped bismuth oxyiodide: Assessment of treatment performance and kinetic studies.

In this study, photo-Fenton-like oxidation method was evaluated for synthetic sugar industry wastewater using visible-light driven Cu-BiOI photocatalyst. Reaction conditions including initial pH, catalyst loading, initial hydrogen peroxide (H2O2) concentration, and temperature, were optimized. At these optimized conditions, the total saccharide concentration (TSC) and total organic carbon (TOC) removals were 56.20% and 30.67%, respectively whereas the maximum TSC and TOC removal reached up to 93.35% and 74.72% respectively by decreasing initial sucrose concentration. The kinetic study showed that the reaction order for sucrose and TOC oxidation was determined as 2 for pseudo-homogeneous power law models with respect to sucrose concentration and TOC, respectively.For heterogeneous models, Langmuir-Hinshelwood model based on the mechanism of adsorbed pollutant and oxidant on different catalytic sites was the best fit for oxidation of sucrose and other organic intermediates. According to the catalyst characterization studies, incorporation of copper was successful and Cu-BiOI possesses high photocatalytic activity accomplished by acid-assisted synthesis method.

Potentially Toxic Metal Accumulation in Spinach (Spinacia oleracea L.) Irrigated with Industrial Wastewater and Health Risk Assessment from Consumption.

This study aimed to determine the potentially toxic metal contents in soil and spinach samples in areas irrigated with industrial wastewater and to evaluate the potentially toxic metal accumulation in spinach samples according to pollution indices. Water, soil and spinach samples were analysed using atomic absorption spectrophotometer (Perkin-Elmer AAS-300). In this study, it was determined that the potentially toxic metal values ​​in the spinach samples irrigated with groundwater and sugar industry wastewater varied between 1.59 and 1.84, 0.22-0.68, 0.56-1.14, 1.41-1.56, 1.62-3.23, 0.57-1.02, 0.86-1.33, 0.20-0.32 and 0.35-2.10mg/kg for Cd, Co, Cr, Cu, Fe, Ni, Pb, Zn and Mn, respectively. It was concluded that the difference between the metal values ​​in the spinach samples according to the irrigation sources was statistically significant, except for Cu and Pb (p > 0.05). According to the results of this study, there is no health risk for Pb, Co and Cr with HRI values ​​below 1.0, while there is a risk for Cd, Cu, Fe, Ni, Mn and Zn. The much higher HRI values ​​of Cd than 1 (196.8 and 169.6) suggested that this metal is likely to cause significant health problems in the region.