Study on the Effectiveness of Two Biopolymer Coagulants on Turbidity and Chemical Oxygen Demand Removal in Urban Wastewater

The present study investigated the effectiveness of two biopolymer coagulants on turbidity and chemical oxygen demand removal in urban wastewater. The biopolymers were produced from vegetal biomass using the mucilage extracted from Opuntia robusta cladodes, and Uncaria tomentosa leaves. Opuntia robusta is an abundant species in Mexico, which is not edible. Uncaria tomentosa is an exotic invasive species in Mexico and other countries, which negatively affects the ecosystems where it is introduced. A combined experimental design of mixture–process was selected to evaluate the effectiveness of both biopolymer coagulants regarding aluminum sulfate (conventional chemical coagulant). Results showed turbidity and chemical oxygen demand removal efficiencies of 42.3% and 69.6% for Opuntia robusta and 17.2% and 39.4% for Uncaria tomentosa biopolymer coagulant, respectively, at a dose of 200 mg/L. Furthermore, optimum conditions from the experimental design to reach the maximum turbidity and chemical oxygen demand removal were obtained at an Opuntia robusta biopolymer coagulant concentration of 10 mg/L, showing removal efficiencies of 68.7 ± 1.7% and 86.1 ± 1.4%, respectively. These results support using Opuntia robusta as an alternative biopolymer coagulant in urban wastewater treatment.


Introduction
Water is a resource essential for life. However, freshwater resources are dwindling at an alarming rate. Growing freshwater scarcity is now one of the most significant challenges for sustainable development [1]. Over two billion people live in water-stressed countries, exacerbating in some regions due to climate change and population growth. Globally, at least two billion people use a drinking water source contaminated with feces, causing 485,000 diarrheal deaths yearly. Microbiologically contaminated drinking water can transmit diseases such as cholera, diarrhea, dysentery, polio, and typhoid [2].
The United Nations adopted the Sustainable Development Goals (SDG) in 2015 as a universal call to action to end poverty, protect the planet, and ensure that by 2030 all people enjoy peace and prosperity. One of the targets of SDG 6: "Cleaner water and sanitation" is to "By 2030, improve water quality by reducing pollution, eliminating dumping and minimizing release of hazardous chemicals and materials, halving the proportion of untreated wastewater and substantially increasing recycling and safe reuse globally" [3]. Safe and sufficient water facilitates the practice of hygiene, a key measure to prevent diarrheal diseases, acute respiratory infections, and numerous neglected tropical diseases [2]. Therefore, a high concentration of polysaccharides, principally mucilage. This substance contains arabinose, galactose, galacturonic acid, rhamnose, and xylose. These components are considered soluble fibers and can form gels in water. For these reasons, Opuntia mucilage has been used in the bioremediation of wastewater [18]. Opuntia robusta is an abundant species in Mexico; it is found in the wild and is not edible. Hence, the mucilage of this plant could be used as a biopolymer coagulant and yield a value-added product.
Uncaria tomentosa is a plant native to the Amazon region and distributed on various continents. This species is used widely in popular medicine and the pharmaceutical industry, since it exhibits anti-inflammatory activity [19]. Uncaria tomentosa has become a significant invader of cultivated orchards, riparian corridors, natural forest remnants, and disturbed areas, such as roadsides and urban spaces. Its vigorous growth allows it to sprawl over other vegetation, and through shading and weight, it can even kill large canopy trees. Likewise, it inhibits the growth and seed germination of native understory vegetation, including native grasses, herbs, and seedlings of shrubs and trees [20]. The chemical composition of Uncaria tomentosa involves carotenoids, flavonoids, mineral salts, organic acids, and mucilage [21]. Therefore, these properties could be exploited to produce a biopolymer coagulant and have biological control over this invasive species.
It is worth mentioning that species of the Opuntia genus have been used to produce biocoagulants. However, there is no information in the consulted literature where either Opuntia robusta or Uncaria tomentosa have been used as a biopolymer coagulant, so their study represents an area of opportunity in their use for this purpose. In this context, this manuscript aims to evaluate the effectiveness of two biopolymer coagulants from Opuntia robusta and Uncaria tomentosa mucilage for removing turbidity and chemical oxygen demand in urban wastewater. Studies of the effect at different concentrations using the two biopolymer coagulants and their combination with aluminum sulfate were performed under an experimental design. This work presents a solution alternative to water scarcity, proposing the use of biocoagulants in the treatment of urban wastewater, contributing to the target of SDG 6: "Cleaner water and sanitation".

Raw Material
Uncaria tomentosa leaves were collected in the wild in Apulco (Zacatecas, Mexico), located at latitude 21 • 23 25 N and longitude 102 • 41 04 W. Leaves of approximately 5 cm length were selected and cut using pruning pliers. The collected samples were placed inside plastic bags to be transported to the laboratory.
Opuntia robusta cladodes were collected in the wild in Trancoso (Zacatecas, Mexico), located at latitude 22 • 44 25 N and longitude 102 • 22 27 W. Cladodes of more than 15 cm in diameter were selected and cut with a knife. The thorns were removed, and the cladodes without thorns were placed inside plastic bags. Later they were transported to the laboratory.
Both species were authenticated as Uncaria tomentosa and Opuntia robusta based on their morphology. Approximately 1.2 kg of Uncaria tomentosa leaves and 1 kg of Opuntia robusta cladodes without thorns were collected to produce the biopolymer coagulants.
The urban wastewater sample was used as a case study to evaluate the effectiveness of the biopolymer coagulants. Approximately 15 L of wastewater sample was collected at the discharge point of urban wastewater in Zacatecas (Zacatecas, Mexico).
Aluminum sulfate (Mca. Meyer reagent grade) was used as the conventional chemical coagulant. A commercial flocculant (anionic polymer) was used in the jar tests. This product was provided by a Mexican company.

Biopolymer Coagulants Production and Characterization
The mucilage extracted from Uncaria tomentosa and Opuntia robusta was used as a biopolymer coagulant. The mucilage extraction was performed following the methodology proposed by Sáenz et al. [22]. A pretreatment for each sample was performed. Uncaria tomentosa leaves were washed with tap water. Then, they were placed in a beaker with deionized water at a 1:2 w/v ratio for 24 h. The bark of the Opuntia robusta cladodes without thorns was removed using a knife. The obtained material was washed with tap water and cut into small proportions.
After these pretreatments, each material was mixed in a domestic blender using distilled water at a 1:2 w/v ratio, and the mixture was placed in an oven at 50 • C for 60 min. After, it was centrifuged at 3500 rpm for 10 min. Ethanol was added to the supernatant recovered in the centrifugation at a 1:4 v/v ratio. This mixture was kept at 4 • C for 24 h. Later, the mixture was vacuum filtered, and the solid particles retained in the filter medium were dried at room temperature for 24 h. Once the material was dry, it was crushed in a mortar. The product was stored in a glass bottle with a lid at 5 • C until its use.
Yields of approximately 3 and 15 g of biopolymer coagulant per kg wet weight of Uncaria tomentosa leaves and Opuntia robusta cladodes were obtained, respectively.
The biopolymer coagulants characterization included the pH and moisture content measures and infrared analysis. The pH was determined using a LAQUAact PH110 Potentiometer from Horiba Scientific from a 1% solution of each biopolymer coagulant prepared with distilled water. The moisture content was determined by direct measurement using an OHAUS Moisture Analyzer MB45 and 1 g of each biopolymer coagulant.
Spectra of each biopolymer coagulant were obtained by Fourier transform infrared (FTIR) spectroscopy to identify functional groups and predict the coagulation mechanisms. The spectra were collected in 32 scans at 4 cm −1 in the mid-IR range 4000-400 cm −1 with automatic signal gain and rationed against a background spectrum recorded from the clean empty cell at 25 • C. Spectral data analysis was performed using the OPUS 3.0 data collection software program.

Experimental Design and Jar Test
The effectiveness of the biopolymer coagulants was evaluated under a combined experimental design of mixture-process. This design consisted of a mixture of three components: Opuntia robusta biopolymer coagulant, Uncaria tomentosa biopolymer coagulant, and aluminum sulfate. The component values were interpreted as proportions of the coagulant dose to be used. The levels ranged from 0 to 1 for each component. The sum of the components' proportions in the mixture was 1 for each trial. The coagulant dose was the numeric factor to be studied. This factor ranged from 200 to 800 mg/L. Thirty trials resulted from the experimental design (Table 1). The trials were performed at the laboratory in random order. The percentages of turbidity and chemical oxygen demand removal were the response to be analyzed.
The coagulation tests were performed using jar floc test equipment (Flocculator SW6, Bibby Stuart, Armfield). The urban wastewater sample was mixed well before undertaking the jar test. The jar test was carried out at room temperature using 500 mL of urban wastewater in each trial. The jar test involved three steps: (1) rapid mixing at 150 rpm for

Water Physicochemical Characterization
Temperature, pH, electrical conductivity, turbidity, and chemical oxygen demand were the physicochemical parameters analyzed in the urban wastewater samples before and after the jar test. The temperature was measured using a Mercury thermometer, the pH with a LAQUAact PH110 Potentiometer (Horiba Scientific, Kyoto, Japan), the electrical conductivity with a conductivity meter with an RS-232 Cable (Eutech Instruments Thermo Scientific, Singapur, Singapore), the turbidity with a TB200TM Portable Turbidimeter (Orbeco-Hellige, Inc., Florida, USA), and the chemical oxygen demand using the method of the Mexican Standard NMX-AA-030/2-SCFI-2011 [23]. The percentages of turbidity and chemical oxygen demand removal were calculated by Equation (1). These results were used as the responses in the experimental design.
X initial and X final are the turbidity or chemical oxygen demand values before and after the coagulation treatment, respectively. The results were expressed as the mean of two measurements. Likewise, the temperature, pH, and electrical conductivity were analyzed to identify a possible variation of these parameters when the coagulation treatment was performed.

Statistical Analysis
Statistical analyses were performed using Design-Expert ® Version 12 Software (Trial version) (Stat-Ease, Inc., Minneapolis, MN, USA). Analysis of variance ANOVA considered a combined special cubic × linear model, determining the significance of the model and the lack of fit at p-value < 0.05. Likewise, the final model equations in terms of the mixture's components and doses and 3D surface plots were shown. Finally, optimization analysis was performed using the following criteria: the maximum amount of the biopolymer coagulants, the minimum amount of aluminum sulfate, a dose range of 10 to 1000 mg/L, and the final model equations.

Characterization of Produced Biopolymer Coagulants
Opuntia robusta biopolymer coagulant showed a pH of 3.77 and a moisture content of 9.96%. Uncaria tomentosa biopolymer coagulant showed values of 5.38 and 7.23%, respectively. These results are associated with the chemical structure. Opuntia robusta contains more variety and a higher quantity of carbohydrates than Uncaria tomentosa [18,21]. Therefore, Opuntia robusta shows lower pH and higher humidity.
Both biopolymer coagulants showed values of acid pH. This condition could acidify water pH once that is treated by coagulation. However, authors have reported that the biocoagulants are not sensitive to pH ranges nor do they significantly affect water pH [24]. Therefore, it is expected that water pH will not change drastically when any of the biopolymer coagulants are used during the treatment.
One of the components of the mucilage of Opuntia spp. is galacturonic acid. This acid has been classified as an anionic coagulant and is considered non-ionic in pH ranges of 6.5-8.5 or higher. Two coagulation mechanisms are associated with this compound. The first one is a polymeric molecule with a charge which performs the coagulation mechanism [6,25]. The second is a non-ionic polymer that provides a H+ bridge to adsorb colloidal particles [26]. Figure 1 shows the FTIR spectra of Uncaria tomentosa and Opuntia robusta biopolymer coagulants and the functional groups identified using FTIR conversion tables [26,27].

Statistical Analysis
Statistical analyses were performed using Design-Expert ® Version 12 Software version) (Stat-Ease, Inc., Minneapolis, USA). Analysis of variance ANOVA conside combined special cubic × linear model, determining the significance of the model an lack of fit at p-value < 0.05. Likewise, the final model equations in terms of the mix components and doses and 3D surface plots were shown. Finally, optimization analysi performed using the following criteria: the maximum amount of the biopolymer coagu the minimum amount of aluminum sulfate, a dose range of 10 to 1000 mg/L, and the model equations.

Characterization of Produced Biopolymer Coagulants
Opuntia robusta biopolymer coagulant showed a pH of 3.77 and a moisture cont 9.96%. Uncaria tomentosa biopolymer coagulant showed values of 5.38 and 7.23%, re tively. These results are associated with the chemical structure. Opuntia robusta con more variety and a higher quantity of carbohydrates than Uncaria tomentosa [18,21]. T fore, Opuntia robusta shows lower pH and higher humidity.
Both biopolymer coagulants showed values of acid pH. This condition could a water pH once that is treated by coagulation. However, authors have reported tha biocoagulants are not sensitive to pH ranges nor do they significantly affect water pH Therefore, it is expected that water pH will not change drastically when any of the bi ymer coagulants are used during the treatment.
One of the components of the mucilage of Opuntia spp. is galacturonic acid. Thi has been classified as an anionic coagulant and is considered non-ionic in pH rang 6.5-8.5 or higher. Two coagulation mechanisms are associated with this compound first one is a polymeric molecule with a charge which performs the coagulation m nism [6,25]. The second is a non-ionic polymer that provides a H+ bridge to adsorb c dal particles [26]. Figure 1 shows the FTIR spectra of Uncaria tomentosa and Opuntia robusta biopol coagulants and the functional groups identified using FTIR conversion tables [26,27 Other authors reported the characterization of the Opuntia robusta mucilage by They observed a peak in the range 2850-2970 cm −1 associated with the stretching of t H bonds of the pyranose groups or C-H groups of the methyl ester of the galactu acid [28]. This stretching range of C-H bonds is observed in Figure 1a. Therefore, the ence of galacturonic acid in the Opuntia robusta mucilage is the main factor for perfor a coagulation process of the suspended and colloidal material in urban wastewater. Other authors reported the characterization of the Opuntia robusta mucilage by FTIR. They observed a peak in the range 2850-2970 cm −1 associated with the stretching of the C-H bonds of the pyranose groups or C-H groups of the methyl ester of the galacturonic acid [28]. This stretching range of C-H bonds is observed in Figure 1a. Therefore, the presence of galacturonic acid in the Opuntia robusta mucilage is the main factor for performing a coagulation process of the suspended and colloidal material in urban wastewater.
On the other hand, FTIR spectra of Uncaria tomentosa mucilage have not been reported. The stretching range of C-H bonds is also observed in Figure 1b. Hence, this result could also be associated with galacturonic acid in the Uncaria tomentosa mucilage.
Infrared analysis results allowed the identification of functional groups associated with galacturonic acid in both biopolymer coagulants. This compound is the main factor, allowing coagulation mechanisms such as adsorption, charge neutralization, polymer bridging, and electrostatic patching [6]. Therefore, these species could be exploited as raw materials, producing biopolymer coagulants and bioremediating wastewater. Table 2 shows the physicochemical parameters of the urban wastewater before coagulation treatment.  [29], b [30], and c [31].

Physicochemical Parameters of Urban Wastewater before and after Coagulation Treatment
The temperature and pH values of the urban wastewater are within the water quality parameters established by the World Health Organization (WHO) ( Table 2). Although the pH value could be slightly modified by using aluminum sulfate or both biopolymer coagulants, it would be expected that the pH will not be out of range when the urban wastewater is subjected to the coagulation treatment.
On the other hand, the electrical conductivity value of urban wastewater is up to 8.4 times higher than the lower limit stipulated by the United States Environmental Protection Agency (Table 2). This parameter is referred to as the amount of dissolved ionic components (total salts or salinity) in water [32]. Values outside this range indicate that the water is not acceptable for certain fish or macroinvertebrates [30]. Hence, this wastewater must be treated before being discharged or reused. Furthermore, an increase in this value during coagulation treatment by using chemical or biopolymer coagulants could cause a health risk to direct discharge into water bodies.
The turbidity value of urban wastewater is 11.2 times higher than the water quality value established by the WHO (Table 2). Likewise, the Mexican standard stipulates a limit value of 4 NTU in water for human use and consumption [33]. Therefore, the urban wastewater exceeds 14 times the quality parameter. Turbidity can be generated by organic particulates that harbor microorganisms and stimulate bacteria's growth. Thus, high turbidity in water increases the possibility of waterborne diseases, representing health risks to effluent users [33].
Furthermore, excessive turbidity also makes the sight of the receiving water bodies, where the effluent was discharged, unpleasant for full-contact recreation. It increases treatment costs due to problems caused by the filtration and disinfection processes [34]. Consequently, this wastewater must be treated before being discharged or reused to avoid health risks from direct discharge into water bodies. Treatment must be based on coagulation since a sedimentation process would be inefficient, and a filtration process could be affected by fouling due to the presence of suspended particles and colloids (high turbidity) ( Table 2).
The chemical oxygen demand value of urban wastewater is up 2.7 times higher than the lower limit stipulated by the Mexican standard (Table 2). This parameter measures the susceptibility to oxidation of the organic and inorganic materials in water bodies and effluents from wastewater treatment plants. High chemical oxygen demand concentrations lead to oxygen consumption, depleting it and causing alterations in aquatic ecosystems [31]. Therefore, it would be expected that the COD-causing substances would be removed by coagulation treatment. Table 3 shows the physicochemical parameters of the water after coagulation treatment. The highest temperature changes were ± 0.5 • C after the coagulation treatment (Table 3). These changes are not significant since they are within the water quality parameter established by the WHO (<25 • C) [29]. This parameter does not significantly affect the coagulation process since it has been reported that biopolymer coagulants are effective in cold and warm water [24].
According to the data detailed in Table 3, the water pH is slightly acidified after coagulation treatment. The highest pH changes (>−1.0) occurred when the aluminum sulfate was used alone or mixed with a proportion of 0.66 and a dose of 800 mg/L. The lowest changes in pH (<−0.3) occurred when the biopolymer coagulants were used alone or mixed between them. Hence, Uncaria tomentosa and Opuntia robusta biopolymer coagulants do not significantly affect the water pH despite the acid pH values of both biocoagulants shown in Section 3.1. Some authors have reported that the biopolymer coagulants are not sensitive or modify the water pH [24]. Therefore, this condition favors using these coagulants in water and wastewater treatment. Likewise, it should be noted that the final pH values are not outside the limits established by the WHO (6.5-8.5) [29] in any of the cases. Thus, it would facilitate an escalation of the treatment without acidifying or basifying the water to treat.
Electrical conductivity values in water after coagulation treatment increased grossly for all the cases (Table 3), mainly at a dose of 800 mg/L, since this parameter increased as the dose of coagulants grew, mainly with the presence of aluminum sulfate. This increase is associated with dissolved ions provided by the coagulants. The aluminum sulfate has a higher dissociation capacity than biopolymer coagulants, producing ions that raise the electrical conductivity values [32,35]. Therefore, this parameter must be controlled before treated water discharge, requiring refining processes such as ion exchange, adsorption, or filtration.
Although applying these refining treatments could significantly increase the wastewater treatment cost, the high electrical conductivity could also be associated with the high concentrations of biopolymer coagulants and aluminum sulfate [32]. Hence, an optimization analysis is necessary to identify the optimal doses for each coagulant. If the coagulant concentration is low, the formation of flocs is complicated due to the minimal possibility of collision between particles. Instead, if the coagulant concentration is high, the flocs are not formed properly, causing high turbidity and electrical conductivity due to the presence of dissolved particles and ions [36]. This condition could be solved by using the optimal dose of coagulant. Thus, it would no longer be necessary to resort to refining processes after the coagulation treatment to reduce the high electrical conductivity. For this reason, this study performed an optimization analysis, which is shown in Section 3.3.
The percentages of turbidity and chemical oxygen demand removal (Table 3) were used as the responses for the analysis and discussion of the results. However, it can be noted that the highest turbidity and chemical oxygen demand removal efficiency of 92.2% and 97.2%, respectively (trial 20), was reached with aluminum sulfate alone at a dose of 200 mg/L. Subsequently, trials 22 and 1 showed high removal efficiencies with values of 88.62% and 88.51% in turbidity and 92.64% and 87.15% in chemical oxygen demand at aluminum sulfate doses of 500 mg/L and 800 mg/L, respectively. It can be noted that the aluminum sulfate efficiency decreases when the coagulant dose increases.
Efficiencies of turbidity and chemical oxygen demand removal of 17.2% and 39.4% (Trial 16) and 42.3% and 69.6% (Trial 18) were obtained for Uncaria tomentosa and Opuntia robusta, respectively, when the biopolymer coagulants were used alone in coagulation treatment with a coagulant dose of 200 mg/L. The removal efficiencies were slightly decreased when the doses increased to 500 mg/L (trials 23 and 22). However, higher turbidity and chemical oxygen demand levels (zero removal efficiencies) were conferred at 800 mg/L (trials 17 and 19), as in the case of aluminum sulfate. Trials 3,13,17,19,and 27 showed zero values because the used coagulant doses were above their optimal dosage. Therefore, the final values of turbidity and chemical oxygen demand increased. These results are associated with particle destabilization and the coagulant itself. They cause more suspended particles and colloids (turbidity) and oxidizable organic matter (chemical oxygen demand) [36,37].
Efficiencies of turbidity and chemical oxygen demand removal of 88.1% and 83.0% were achieved, respectively, at a coagulant dose of 800 mg/L and a mixture proportion of 0.66 Opuntia robusta biopolymer coagulant and 0.33 aluminum sulfate (Trial 7). Moreover, removal efficiencies of 58.9% and 72.7% were achieved, respectively, at a coagulant dose of 200 mg/L and a mixture proportion of 0.66 Uncaria tomentosa biopolymer coagulant and 0.33 aluminum sulfate (Trial 4).
On the one hand, these results show that Opuntia robusta biopolymer coagulant has a higher potential than Uncaria tomentosa biopolymer coagulant. Some authors have reported a working pH range of 6.5-8.5 for Opuntia spp. mucilage coagulant [25]. The urban wastewater pH was 7.71 ± 0.02 (Table 2). Therefore, Opuntia robusta biopolymer coagulant was within the working pH range. This condition could influence the results showing Opuntia robusta biopolymer coagulant with better efficiencies than Uncaria tomentosa. The working pH range for Uncaria tomentosa mucilage coagulant has not been reported in the literature. Hence, this opens an opportunity area for optimizing the working pH range for Uncaria tomentosa biopolymer coagulant and improving its efficiency in removing pollutants from wastewater [6].
On the other hand, although the potential of Opuntia robusta and Uncaria tomentosa biopolymer coagulants is lower than aluminum sulfate, their efficiency is improved when used as a coagulant aid mixed with aluminum sulfate. These results indicate that using these biopolymer coagulants could be feasible in dual systems when mixed with aluminum sulfate. Therefore, an optimization analysis was performed considering the highest removal of the two water quality parameters (turbidity and chemical oxygen demand), the maximum amount of biopolymer coagulants, and the minimum amount of aluminum sulfate. Table 4 shows the analysis of variance ANOVA, considering the percentage of turbidity removal as the response. It can be noted that the model is statistically significant (p-value < 0.05), and the lack of fit is not statistically significant (p-value > 0.05). Hence, a combined special cubic x linear model is appropriate to describe the observed data. The significant effects are the linear mixture of the three coagulants, the double interactions between Opuntia robusta biopolymer coagulant and aluminum sulfate (A × C), and Opuntia robusta biopolymer coagulant and doses (A × D). Therefore, the final equation in terms of components and factors for this response is described by Equation (2). A, B, and C are the proportions in the mixture of Opuntia robusta biopolymer coagulant, Uncaria tomentosa biopolymer coagulant, and aluminum sulfate, respectively, and D is coagulant doses.  Table 5 shows the analysis of variance ANOVA, considering the percentage of chemical oxygen demand removal as the response. As in the ANOVA for turbidity, it can be noted that the model is statistically significant (p-value < 0.05), and the lack of fit is not statistically significant (p-value > 0.05). Hence, a combined special cubic x linear model is appropriate to describe the observed data. The significant effects are the linear mixture of the three coagulants, the double interactions between Opuntia robusta biopolymer coagulant and doses (A × D), and Uncaria tomentosa biopolymer coagulant and doses (B × D). Therefore, the final equation in terms of components and factors for this response is described by Equation (3). A, B, and C are the proportions in the mixture of Opuntia robusta biopolymer coagulant, Uncaria tomentosa biopolymer coagulant, and aluminum sulfate, respectively, and D is coagulant doses.

ANOVA and Optimization Analysis Results
Chemical oxygen demand removal (%) = 91.69 × A + 66.14 × B + 80. 17  It can be noted that Opuntia robusta biopolymer coagulant affects the responses (turbidity and chemical oxygen demand removal) significantly more than Uncaria tomentosa biopolymer coagulant. The turbidity removal was not affected by Uncaria tomentosa biopolymer coagulant. Additionally, the chemical oxygen demand removal is more sensitive to the interaction between Opuntia robusta biopolymer coagulant and doses (p-value of 0.0094) than the interaction between Uncaria tomentosa biopolymer coagulant and doses (p-value of 0.0816) shown in Table 5. Therefore, Opuntia robusta has a higher potential as a biopolymer coagulant than Uncaria tomentosa.
Since the objective of this work was to use the species Uncaria tomentosa and Opuntia robusta as biopolymer coagulants to reduce the consumption of chemical coagulants such as aluminum sulfate, an optimization analysis was performed using the following criteria: the maximum amount of the biopolymer coagulants, the minimum amount of aluminum sulfate, a dose range of 10 a 1000 mg/L, and Equations (2) and (3) as appropriate. The maximum percentages of removal, 70.5% and 90.1% for turbidity and chemical oxygen demand, respectively, are achieved using a dose of 10 mg/L of Opuntia robusta biopolymer coagulant. It can be observed in Figure 2a that the maximum efficiency of turbidity removal (84%) is achieved when aluminum sulfate is used alone. However, this efficiency decreases significantly when the aluminum sulfate is mixed with the Uncaria tomentosa biopolymer coagulant. However, the efficiency increases using Opuntia robusta biopolymer coagulant alone or in a mix with a proportion below 20% of aluminum sulfate. Figure 2b shows that the efficiency of chemical oxygen demand removal is decreased when Opuntia robusta biopolymer coagulant is mixed with Uncaria tomentosa biopolymer coagulant or aluminum sulfate. Therefore, the optimal dose of Opuntia robusta biopolymer coagulant is 10 mg/L. It can be noted that Opuntia robusta biopolymer coagulant affects the responses (turbidity and chemical oxygen demand removal) significantly more than Uncaria tomentosa biopolymer coagulant. The turbidity removal was not affected by Uncaria tomentosa biopolymer coagulant. Additionally, the chemical oxygen demand removal is more sensitive to the interaction between Opuntia robusta biopolymer coagulant and doses (p-value of 0.0094) than the interaction between Uncaria tomentosa biopolymer coagulant and doses (p-value of 0.0816) shown in Table 5. Therefore, Opuntia robusta has a higher potential as a biopolymer coagulant than Uncaria tomentosa.
Since the objective of this work was to use the species Uncaria tomentosa and Opuntia robusta as biopolymer coagulants to reduce the consumption of chemical coagulants such as aluminum sulfate, an optimization analysis was performed using the following criteria: the maximum amount of the biopolymer coagulants, the minimum amount of aluminum sulfate, a dose range of 10 a 1000 mg/L, and Equations (2) and (3) as appropriate. The maximum percentages of removal, 70.5% and 90.1% for turbidity and chemical oxygen demand, respectively, are achieved using a dose of 10 mg/L of Opuntia robusta biopolymer coagulant. It can be observed in Figure 2a that the maximum efficiency of turbidity removal (84%) is achieved when aluminum sulfate is used alone. However, this efficiency decreases significantly when the aluminum sulfate is mixed with the Uncaria tomentosa biopolymer coagulant. However, the efficiency increases using Opuntia robusta biopolymer coagulant alone or in a mix with a proportion below 20% of aluminum sulfate. Figure 2b shows that the efficiency of chemical oxygen demand removal is decreased when Opuntia robusta biopolymer coagulant is mixed with Uncaria tomentosa biopolymer coagulant or aluminum sulfate. Therefore, the optimal dose of Opuntia robusta biopolymer coagulant is 10 mg/L. A laboratory experiment was performed in triplicate under these optimal conditions and following the same methodology described in Section 2.3. Removal efficiencies of 68.7 ± 1.7% and 86.1 ± 1.4% for turbidity and chemical oxygen demand were obtained, respectively. Therefore, experimental errors of 2.5% and 4.4% were estimated regarding model prediction.
The increase in the electrical conductivity of the water caused by high coagulant doses was discussed in Section 3.2. However, it is assumed that this increase will not occur employing the optimal dosage of Opuntia robusta biopolymer coagulant (10 mg/L) since it is 20 times smaller than the lower limit of 200 mg/L used in the experimental design. Therefore, the application of Opuntia robusta biopolymer coagulant represents an alternative for reducing the use of aluminum sulfate (chemical coagulant) in urban wastewater treatment. Table 6 shows a comparison between the effectiveness of biopolymer coagulants produced from Opuntia robusta and Uncaria tomentosa in this work and other biocoagulants reported by other authors. Acacia mearnsii tannin Agricultural wastewater 5-8 70% of total phosphorous 82% of turbidity [8] Solanum tuberosum starch Agricultural wastewater 1-2 80% of total phosphorous 82% of turbidity [8] Crustacean shells chitosan Agricultural wastewater 5-10 95% of total phosphorous 98% of turbidity [8] Plantago ovata seeds Turbid water 50 >80% of turbidity [39] Tamarind seeds Detergent wastewater 400 97% of turbidity 39% of chemical oxygen demand [40] Banana pith River water 100 98.5% of turbidity 54.3% of chemical oxygen demand 96.0% of suspended solids [41] Jatropha curcas seeds Kaolin synthetic water 120 >96 of turbidity [42] Opuntia mucilage Cosmetic Wastewater 150 50% of turbidity 38% of chemical oxygen demand [43] A: Opuntia robusta biopolymer coagulant; B: Uncaria tomentosa biopolymer coagulant, C: Aluminum sulfate; D: Doses.

Effectiveness of the Biopolymer Coagulants
Different biopolymer coagulants have been used for natural and synthetic water and industrial wastewater treatment. Moringa Oleifera, crustacean shells chitosan, tamarind seeds, banana pith, and Jatropha curcas seeds are the most efficient biocoagulants sources to remove turbidity in different water types (Table 6). However, Opuntia robusta biopolymer coagulant showed high efficiency in the chemical oxygen demand removal, even though this value is higher than the values reported by other authors (Table 6). Carpinteyro et al. [43] also studied Opuntia mucilage as a biocoagulant to treat cosmetic wastewater. Opuntia showed efficiency in turbidity and chemical oxygen demand removal. Therefore, Opuntia robusta biopolymer coagulant could represent an alternative for reducing the use of chemical coagulants in water and wastewater treatment.
On the other hand, Uncaria tomentosa biopolymer coagulant showed the lowest efficiency in removing turbidity. However, the efficiency of chemical oxygen demand removal is close to the values reported for tamarind seeds and Opuntia mucilage (Table 6). Hence, its application could be like a coagulant aid [44] mixed with aluminum sulfate under a dual coagulation system.
The cost of applying biocoagulants must be more competitive than using chemical coagulants. The cost of chemical coagulants for drinking water and wastewater treatment was estimated at USD 1.50 and USD 0.15-1.80/m 3 of treated water. Additionally, the cost of biocoagulants was estimated at USD 0.0025-2 and USD 0.015-19.5/m 3 of treated water. Although the application of some biocoagulants shows a higher price than chemical coagulants, the cost will be reduced when the cost of the resultant sludge handling is also included [6].
The cost of aluminum sulfate coagulant was estimated at USD 0.30-0.50/kg [45]. The production cost of the Opuntia robusta biopolymer coagulant was not calculated in this work since it could be subjective in estimating a value at laboratory level. Biopolymer coagulant