Wastewater containing dyes is considered as the top-priority pollutant when discharged into the environment. Herein, we report for the applicability of 254 nm ultraviolet light and electrochemical process using a titanium ruthenium oxide anode for the degradation of Allura red and erythrosine dyes. During the photolytic process, 95% of Allura red dye (50 ppm) was removed after 1 h at pH 12 and 35 °C, whereas 90% color removal of erythrosine dye (50 ppm) was achieved after 6 h of treatment at pH 6.0 and 30 °C. On the other hand, 99.60% of Allura red dye (200 ppm) was removed within 5 min by the electrochemical process applying a current density (5 mA cm−2) at pH 5.0 and 0.1 mol L−1 sodium chloride (NaCl) electrolytic medium. Similarly, 99.61% of erythrosine dye (50 ppm) degradation was achieved after 10 min at a current density of 8 mA cm−2, pH 6.0, and 0.1 mol L−1 of NaCl electrolyte. The minimum energy consumption value for Allura red and erythrosine dyes (0.196 and 0.941 kWh m–3, respectively) was calculated at optimum current densities of 5 and 8 mA cm−2. The results demonstrated that the electrochemical process is more efficient at removing dyes in a shorter time than the photolytic process since it generates powerful oxidants like the chlorine molecule, hypochlorous acid, and hypochlorite on the surface of the anode and initiates a chain reaction to oxidize the dyes molecules.

  • Wastewater containing toxic dye pollutants as the top-priority environmental concern.

  • Photocatalytic and electrochemical methods were inspected for Allura red and erythrosine dyes degradation.

  • Critical parameters affecting these processes were standardized for maximum discoloration efficiency.

  • Electrochemical process triggered Allura red and erythrosine dyes removal within 5 and 10 min.

  • Electrochemical oxidation as a highly efficient and promising approach for dye-harboring wastewater remediation.

Today, the entire world faces outrageous issues of safe drinking and sterile water for the consumption of human beings because of groundwater adulteration and industrial effluents (Rasheed et al. 2017; Gnanasekaran et al. 2019; Liu et al. 2019; Shetti et al. 2019). The wastewater originating from such industries contains suspended solids, organic matter, and an immense amount of dyes that have an undesirable impact on living life forms (Ali et al. 2018; Jager et al. 2018; Tiwari & Ram 2019). The presence of a little concentration of dyes in wastewater can influence the light levels in photosynthesis in amphibian plants (Ali et al. 2019; Bilal et al. 2018a, 2018b, 2018c; Salazar et al. 2018). The strong color of dyes is due to the azo bond and chromophore groups, which are stable to environmental factors (Veisi et al. 2019; Zukawa et al. 2019; Ali et al. 2020).

Among the synthetic dyes, Allura red is a dim red water-soluble food dye (Figure 1(a)), which is generally used in foodstuffs such as sweetmeats, cereals, soda pops, and bread shop items (Al-Shabib et al. 2019). In spite of its wide applications, its harmful effect cannot be overlooked because it contains an azo bond and may cause asthma, hypersensitivity, and hyperactivity in kids (Ostovan et al. 2018). Its use is prohibited in countries like Germany, Denmark, Switzerland, and Sweden (Asfaram et al., 2018). Erythrosine is cherry-pink and is a water-soluble food dye (Figure 1(b)) mainly found in different food items, pharmaceutical, makeup, and textile industries. Its excessive use leads to various kinds of medical issues, including sickliness, thyroid harmfulness, sensitivities, and neurotoxicity in animals and humans (Zinatloo-Ajabshir et al. 2019). It is banned in the USA and Norway because of its lethal nature. The release of these toxic dyes to the environment causes an unfavorable impact on living life forms (Mazloom et al. 2018; Khan et al. 2019a, 2019b). Therefore, quick and judicious strategies are necessary for the elimination of these dyes (Khan et al. 2018; Zaouak et al. 2019). Various conventional biological (Martínez-Huitle & Panizza 2018) and chemical (Safni et al. 2019) techniques have been attempted for the treatment of wastewaters containing dye pollutants, but their outcomes are limited (Rasheed et al. 2018a, 2018b; Sahu et al. 2018). Recently, different photolytic and electrochemical-based degradation processes have been undertaken to degrade toxic food dyes because of their high efficiency, less demanding activity, eco-friendliness, flexibility, and minimal effort adequacy. In photolysis, the photochemical reactions cause the degradation of residual dyes, released into the water by transforming them into simpler compounds. The energy provided by the UV light to break bonds (Bendjama et al. 2019; Shi et al. 2018). However, photolysis necessitates a longer time duration that may result in incomplete degradation and sometimes produces intermediates that are more toxic (Zhou et al. 2009; Aziz et al. 2020). Electrochemical degradation is another advanced technique for the degradation of dyes, which involves electro-oxidation with active chlorine (a major oxidizing agent). In this case, the electro-generated free chlorine produces species like hypochlorous acid (HClO) and hypochlorite (ClO) oxidize the organic matter within the effluents through reactions (Equations (1)–(3)) (Nakamura et al. 2019).
(1)
(2)
(3)
Figure 1

Molecular structure of (a) Allura red and (b) erythrosine dye.

Figure 1

Molecular structure of (a) Allura red and (b) erythrosine dye.

Close modal

For electrochemical degradation of dyes, diverse anode materials like platinum cathode, boron-doped diamond (BDD), and titanium-based dimensional stable anode (DSA) terminals have been utilized (Vasconcelos et al. 2019). Owing to its great chemical stability, high rates of removal in the presence of Cl ions, minimal effort, and environmental compatibility, titanium ruthenium oxide electrodes were applied in this work for Allura red and erythrosine dye degradation. Both the photolytic and electrochemical degradation methods were compared for erythrosine and Allura red dyes. In addition, the effect of various critical factors such as pH, current density, and the concentration of electrolyte was also studied.

Reagents and equipment

The reagents and chemicals utilized during the trial were of scientific standard. Erythrosine (Red No. 3) and Allura (Red No. 40) dyes were acquired from Sigma Aldrich, USA. Sodium chloride (NaCl), sodium sulfate (Na2SO4), and sodium nitrate (NaNO3) were obtained from Merck, Germany. All the necessary solutions were prepared using deionized water. The equipment used was DAZHENG DC Power Supply (model-PS-303D), double-beam UV–Vis spectrophotometer (model UV-1602 Biomedical sciences), and a hotplate stirrer (model DAIHAN LABTECH CO. LTD). UV light (254 nm) and titanium ruthenium oxide anode were provided by De Nora Brazil.

Photolytic dye degradation

The photolysis of the dye solution was carried in a Pyrex glass container comprising 400 mL of dye wastewater. The UV light (254 nm) was immersed in the middle of the reactor and the wastewater solution was stirred using a magnetic stirrer. During the photolytic assay, 1 mL aliquot was withdrawn at a predetermined time interval (I h) and analyzed using a spectrophotometer. The decolorization was estimated by a reduction in absorbance intensity at ʎmax of the dyes. The effect of temperature (30–40 °C), time (1–6 h) and pH (3–12) on the photolysis was also investigated. The reaction pH was maintained using droplets of sulfuric acid (H2SO4) or ammonium hydroxide (NH4OH).

Electrochemical dye degradation

The electrochemical degradation experiments were conducted in the 500 mL Pyrex glass vessel as represented in Figure 2. The anode (titanium ruthenium oxide, Ti/Ru0.3Ti0.7O2) and a stainless steel cathode were dipped in the reactor. Both electrodes were adjusted side by side at a distance of 1 cm and 45 cm2 territories of electrodes and dye solutions. The current density was applied using the DC power supply. Before every electrochemical experiment, the anode was activated using 0.05 M H2SO4 solution applied at 15 mA cm−2 for 15 min. The current density varied between 2–12 mA/cm2 for erythrosine and 2–7 mA/cm2 for Allura red. Throughout the trials, erythrosine, and Allura red dye solution (400 mL) was electrolyzed using diverse supportive electrolytes. The concentration of electrolyte NaNO3, Na2SO4 0.1 mol L−1 and NaCl (0.02–0.1 mol L−1) and pH range of 3–12 were utilized for improving the conductivity and reducing electrolysis time. NH4OH and H2SO4 were used to adjust the pH of dye solutions. The response solution was refluxed constantly at 450 rpm using a magnetic stirrer to maintain a uniform grouping of salts. Aliquots of 1 mL were withdrawn from the reaction mixture after 1 min of the time interval and analyzed by a UV–Vis spectrophotometer. The entire examinations were carried out at ambient temperature. The percentage of electrochemical discoloration of dyes was determined using Equation (4).
(4)
where At is absorbance after time t min of electrolysis, A0 is absorbance at time ∼0 min at λmax (Khan et al. 2016).
Figure 2

Schematic representation of experimental setup for electrochemical degradation.

Figure 2

Schematic representation of experimental setup for electrochemical degradation.

Close modal

Statistical analysis and modeling

For the prediction of the relationship between the dependent variable (experimental results) and independent variables (experimental variables), empirical modeling techniques such as response surface methodology (RSM) is often utilized (Muhamad et al. 2018). Based on the statistically designed regression model of experimental data, RSM not only predicts the future response but also gives the opportunity to optimize it. Several types of design are available in RSM modeling, including central composite, Box–Behnken, user-defined, and historical data designs. In this study, historical data design was selected to evaluate the approximate function between dependent and independent variables in which design points are defined on the basis of existing experimental data without any limitation of the number of factors and levels compared to other RSM model designs (Jeirani et al. 2013; Muhamad et al. 2018).

UV–Vis spectroscopy

The ʎmax for both the dyes was determined with a wavelength scan range from 350–650 nm through a UV–Vis spectrophotometer. Allura red dye showed maximum absorption at 505 nm (Figure 3(a)), whereas the highest absorbance was recorded at 530 nm in the case of erythrosine dye (Figure 3(b)).

Figure 3

λmax for (a) Allura red and (b) erythrosine dye using UV–Vis spectrophotometry.

Figure 3

λmax for (a) Allura red and (b) erythrosine dye using UV–Vis spectrophotometry.

Close modal

Photolytic degradation of dyes

Impact of irradiation time on photolytic degradation

Irradiation duration exerts a noteworthy impact on the discoloration of dyes. The discoloration rate of photolysis increased by increasing the irradiation time. As the contact time of UV irradiation with dye increases, the degradation of dye increases, breaking the azo bonds and hence, results in high discoloration of dye. It can be observed from Figure 4(a) that the absorbance of Allura red dye (200 ppm) was reduced, resulting in 63.29% decolorization after exposure to 6 h UV illumination. Similarly, a substantial decrease in absorbance was also noticed for erythrosine dye (50 ppm) concomitant with 90.84% degradation after 6 h of UV radiation (Figure 4(b)). Hence, it was inferred that the degradation rate of dyes increased progressively with an increase in light span. Additionally, it is also revealed that the degree of dye degradation increases by extended interaction time of dye with UV light (Boucenna et al. 2019). The photolysis showed that the erythrosine dye is more stable than Allura red dye. Due to this reason, the concentration of Allura red (200 ppm) and erythrosine dye (50 ppm) was used in the experiments carried out for photolysis and electrochemical degradation.

Figure 4

Effect of irradiation time on photolysis of (a) Allura red and (b) erythrosine dye.

Figure 4

Effect of irradiation time on photolysis of (a) Allura red and (b) erythrosine dye.

Close modal

Effect of pH on photolytic degradation

Figure 5(a) demonstrates that 35.24% decolorization of Allura red was achieved at pH 5.0. With an increase in solution pH to 6.0, the photolysis of dye was enhanced to 55% and maximum removal of dye up to 95.3% occurred at pH 12 after 1 h exposure to UV light. Consequently, it is presumed that an increase in pH prompts an increase in discoloration ability. For erythrosine dye, 90.84% decolorization was achieved at pH 6.0 after 6 h of irradiation time, and a further increase in pH values gave a diminished color removal (Figure 5(b)) (Wu et al. 2019). The photolysis of both the dyes increased when the pH of the solution was changed from highly acidic to slightly acid or alkaline. With an increase in pH, the time of photolysis was decreased. However, when in aqueous alkaline solution in the presence of UV irradiation the highly reactive hydroxyl radical is formed due to reactions with oxygen, which results in the degradation of Allura red dye. Without the presence of oxygen, the degradation of dye was prevented, suggesting that the presence of oxygen is important for the production of reactive radical species. Thus, the photolysis of Allura red dye in basic media could be preceded via direct reactions of the dye with highly reactive radical species formed in the presence of UV irradiation, as already reported in the literature (Soltani & Entezari 2013).

Figure 5

Influence of pH on the degradation of (a) Allura red and (b) erythrosine dye.

Figure 5

Influence of pH on the degradation of (a) Allura red and (b) erythrosine dye.

Close modal

Impact of temperature on photolytic degradation

The effect of temperature during the erythrosine and Allura red dyes discoloration was examined with a temperature range varying from 30 to 40 °C for 1 h. A high degradation rate of 95.69% was achieved at 35 °C as depicted in Figure 6(a). Photolysis of Allura red dye increased by enhancing the temperature to 35 °C and diminished gradually with further enhancement in temperature up to 40 °C. A similar inclination occurred for 4-chloro-2-aminophenol utilizing joined procedures like hydrodynamic cavitation, UV photolysis, and ozone at temperature (30–38 °C), where the highest discoloration was accomplished at 35 °C (Wang et al. 2019). During the photolytic discoloration of erythrosine dye, the effective results were attained at 30 °C and diminished subsequently with a temperature rise after 6 h (Figure 6(b)). It implies that there is not much impact of temperature on photolytic removal of color and a rise in temperature from 32 to 40 °C poses no significant impact on the photolytic discoloration of methylene blue dyes. It means that UV light and oxygen has a major role in the photolysis of these dyes, which produces reactive radicals necessary for the process. The photolysis will stop in the absence of any of them (Soltani & Entezari 2013). However, temperature has a small role in photolysis and followed the same trend as reported earlier by Soltani & Entezari (2013). The photolysis of methylene blue dye, by increasing the temperature to 40 ºC , has no effect on dye degradation. In an inert environment (Ar atmosphere) the photolysis was completely stopped and under solar irradiation at the air atmosphere completed within 90 min (Soltani & Entezari 2013).

Figure 6

Effect of temperature on photolysis of (a) Allura red and (b) erythrosine dye.

Figure 6

Effect of temperature on photolysis of (a) Allura red and (b) erythrosine dye.

Close modal

Photolytic degradation of dyes under optimized environment

UV spectra represents a high degradation of Allura red dye (95.69%) after 1 h treatment at pH 12 and 35 °C (Figure 7(a)). On the other hand, the greatest dye discoloration of 90.84% was achieved for erythrosine dye under the optimized conditions of pH 6.0 and 30 °C after 6 h exposure to UV light (Figure 7(b)). In a recent report, Soltani & Entezari (2013) observed the complete photolysis of methylene blue dye within 30 min at pH 12 and 32 °C.

Figure 7

Photolysis of (a) Allura red at pH 12, 35 °C and (b) erythrosine at pH 6, 30 °C.

Figure 7

Photolysis of (a) Allura red at pH 12, 35 °C and (b) erythrosine at pH 6, 30 °C.

Close modal

Electrochemical degradation of dyes

The main purpose of the electrochemical method is to direct an electric flow through electrodes, bringing about various compound responses. By using a reducing agent, a conventional strategy is replaced by an inventive cathodic electron exchange (electrons are utilized, rather than synthetic compounds). An electrochemical cell is used to carry out the oxidation process. The dyeing mechanical assembly is coupled to the electrochemical cell and the dye bath is adequately diminished through an electrochemical procedure. The elements that influence electrochemical implementation include current density, structure geometry, type, number and dispersing of electrodes utilized, pH, temperature, and nature of the electrolyte, etc.

Impact of current density on electrochemical degradation

Electrochemical degradation of Allura red dye was carried out at the current flow of 2–7 mA cm−2 with different parameters remaining constant (Figure 8(a)). The degradation rate increases by increasing the current density. The ideal current density of 5 mA cm−2 was chosen for greater coloring removal and most minimal costs of vitality, in light of the a further increment in current density did not have any critical impact on dye discoloration. According to previously reported literature, the discoloration of reactive blue 19 dye at titanium-based DSA anode expanded directly with expanding ebb and flow densities (7.22–36.10 mA cm−2) and with NaCl as an electrolyte (Baddouh et al. 2018). Therefore, the extraordinary current flow of 2–12 mA cm−2 was used to contemplate the proficiency of erythrosine dye's electrochemical removal with 0.1 mol L−1 NaCl at pH 6. The degradation efficiency noticeably increases with expanding current density in the range of 2–12 mA cm−2 (Figure 8(b)). The electrochemical decontamination of between 1 and 100% was achieved at 8 mA cm−2 after 10 min of electrolysis. With an increase in current density, the release of Cl/HClO was enhanced in NaCl electrolyte solution, leading to increased dye elimination (Jager et al. 2018). Hence, the ideal current flow for this situation was set as 8 mA cm−2 to reduce costs of energy and high dye removal. Siedlecka et al. (2018) investigated the removal of acid black 210 at BDD anode and found that discoloration efficiency of dye increased with increases in the ebb and flow densities from 25 to 100 mA cm−2.

Figure 8

Influence of current density on the degradation of (a) Allura red and (b) erythrosine dye.

Figure 8

Influence of current density on the degradation of (a) Allura red and (b) erythrosine dye.

Close modal

Impact of pH on electrochemical degradation

The influence of pH was evaluated on dye degradation with different variables being consistent, as shown in Figure 9. For Allura red, high degradation efficiency (99.60%) was observed at pH within 5 min electrolysis treatment. The electrochemical discoloration rate decreased with an increment in the pH of the mixture, as shown in Figure 9(a). The Allura red dye demonstrates greater discoloration in the acidic medium compared to the basic solution (3.86%) at pH 12, leading to a decrease in Cl2/Cl production. Along these lines, further analysis was done at pH 5.0. Sajid et al. (2018) achieved 70% discoloration of wastewater at pH 4 after 120 min of electrolysis. The impact of various pH on erythrosine dye's electrochemical degradation is shown in Figure 9(b). A degradation of 78.02% occurred after 6 min at pH 3.0, which increased to 99.61% at pH 6.0. The effectiveness of erythrosine discoloration was reduced at higher pH, which demonstrates that the removal of erythrosine was higher using the acidic dye solution. In this way, the pH 6.0 was chosen as an ideal pH for analysis. In acidic dye solution, the Cl is present as HClO in the mixture and has a higher oxidation potential (1.49 V) than OCl (0.94 V) (García-Espinoza et al. 2018) due to the fact that in basic medium, the OCl is present, which produces low degradation at higher pH.

Figure 9

Influence of pH on the electrochemical degradation of (a) Allura red and (b) erythrosine dye.

Figure 9

Influence of pH on the electrochemical degradation of (a) Allura red and (b) erythrosine dye.

Close modal

Impact of supporting electrolytes on electrochemical degradation

Figure 10(a) and 10(b) show the electrochemical degradation of erythrosine and Allura red dye utilizing different supporting electrolytes. It is revealed that with the availability of Na2SO4 and NaNO3 electrolytes, a color removal of 9.27% and 6.42% was acquired after 5 min of electrolysis separately for Allura red (Figure 10(a)), and 0.389% and 0.222% was acquired following 10 min reflux for erythrosine dye (Figure 10(b)). The presence of SO4 and NO3 causes direct electrochemical oxidation and the cathode showed weak electrocatalytic performance because of the absence of Cl and the possibility of electrode debasement that leads to the development of a fixed layer on anode exterior. The dyes could not be oxidized using SO4 and NO3 as electrolytes using direct oxidation process. A 99.60% degradation was achieved, using NaCl among other supporting electrolytes, after 5 min of electrolytic treatment for Allura red and 99.61% erythrosine dye removal was achieved after 10 min of electrolysis (Figure 10(b)). This is the result of the generation of the high level of Cl2/OCl species on the working electrode (anode) exterior leading to indirect oxidation. In indirect oxidation, the wastewater containing Cl is converting into HClO oxidant species, which are produced eclectically on the anode surface and its proposed mechanism is given in Equations (7)–(10).
(5)
(6)
(7)
(8)
Figure 10

Influence of electrolyte concentration on the degradation of (a) Allura red and (b) erythrosine dye.

Figure 10

Influence of electrolyte concentration on the degradation of (a) Allura red and (b) erythrosine dye.

Close modal

It is obvious that NaCl was observed as the best electrolyte for both Allura red and erythrosine dyes based on its greater removal efficiency. Referring to the previous reports, the pesticides are completely degraded at 0.1 mol L−1 of NaCl within 60 min of electrolysis process (Zhu et al. 2018).

Impact of NaCl concentration on electrochemical degradation

The impact of NaCl concentrations on Allura red dye degradation was examined under a consistent current flow of 5 mA cm−1 after 5 min of electrolysis, and responses are presented in Figure 11(a). With the increase in NaCl concentration, the removal efficiency of dye also increases. The greatest discoloration (99.60%) was achieved with 0.1 mol L−1 NaCl, and therefore the same concentration of NaCl was utilized throughout the test work. Figure 11(b) portrays the impact of various concentrations of NaCl on the electrochemical discoloration effectiveness of erythrosine dye. The lowest (18.51%) and the highest (99.61%) discoloration was recorded at 0.02 and 0.1 mol L−1 of NaCl after 10 min under the consistent current flow of 8 mA cm−2. Thus, further analysis was done with 0.1 mol L−1 of NaCl electrolyte. A comparison was made with a previous report where the almost complete discoloration (95.1%) of tartrazine E102 dye was noted utilizing carbon/lead dioxide anodes after 10 min with NaCl (Hamad et al. 2018). The electrochemical degradation pattern of Allura red dye in NaCl using a BDD electrode (Thiam et al. 2015) gave a benzenic derivative due to breaking of (–N = N–) of the dye molecule. The hydroxylation, demethylation, and carboxylation along with the chlorination reactions occurred, resulting in primary aromatic compounds. The chloro-derivatives are formed due to active chlorine. These compounds were removed as the electrolysis proceeded. Jain et al. (2005) proposed the electrochemical degradation pathway of erythrosine dye. After the electrolysis of erythrosine dye, the chemical oxygen demand value decreased significantly compared to the original dye solution.

Figure 11

Effect of NaCl concentration on the degradation of (a) Allura red and (b) erythrosine dye.

Figure 11

Effect of NaCl concentration on the degradation of (a) Allura red and (b) erythrosine dye.

Close modal

Calculation of energy consumption

Energy utilization is a prime element used to evaluate the feasibility of the electrochemical degradation process. The expense of energy consumed was estimated using Equation (9):
(9)
where t is the electrolysis time (h), V is an average voltage (V), I is the current density (A) and Vs is the volume (m3) of solution used. Table 1 illustrates the electrochemical discoloration of Allura red dye with concentrations of 200 ppm at various current flows (2–7 mA cm−2). Notably, as the current flow increases from 2 to 7 mA cm−2, the energy utilization was enhanced from 0.065 to 0.366 kWh m−3. This shows that the expenditure of energy at 2 mA cm−2 is much less than 7 mA cm−2. However, the process of discoloration increases at greater current flow, which might be due to the enlarged evolution reaction of H2 and O2. Thus, it is concluded that the minimum calculated energy consumption at an optimum applied current density of 5 mA cm−2 was 0.196 kWh m−3 for maximum discoloration and for the least energy charge due to the shorter time. Similarly, Alcocer et al. (2018) reported that the minimum electrical energy consumption for methyl orange was 1.11 kWh m−3 at 5 mA current density. Table 2 presents the electrical energy utilization possibilities or the electrochemical discoloration of erythrosine dye (50 ppm) at various current densities (4–12 mA cm−2). For erythrosine dye, the minimal electrical energy utilization was 0.941 kWh m−3 at the optimum current flow of 8 mA cm−2 for maximum degradation for the least energy charge due to the shorter time. This significant result adds immense worth toward this effort as a vital reduction of energy, which is the main aspect affecting the working expenditure for such an application. Similarly, during the sulfamethoxazole (C10H11N3O3S) degradation, the applied current density is between 5 and 10 mA cm−2 due to less energy consumption and less time (Nidheesh et al. 2018) (Tables 1 and 2).
Table 1

Energy consumption calculations for the degradation of Allura red dye

ParametersTime (h)Average voltage (V)Energy consumption (kWh m−3)
Current density (mA cm−20.083 3.44 0.065 
0.083 4.3 0.120 
0.083 4.4 0.168 
0.083 4.24 0.196 
0.083 5.58 0.366 
Electrolytes Na2SO4 0.083 4.0 0.186 
NaNO3 0.083 4.8 0.224 
NaCl 0.083 4.24 0.196 
NaCl (mol L−10.02 0.083 3.94 0.186 
0.04 0.083 4.22 0.200 
0.08 0.083 4.7 0.224 
ParametersTime (h)Average voltage (V)Energy consumption (kWh m−3)
Current density (mA cm−20.083 3.44 0.065 
0.083 4.3 0.120 
0.083 4.4 0.168 
0.083 4.24 0.196 
0.083 5.58 0.366 
Electrolytes Na2SO4 0.083 4.0 0.186 
NaNO3 0.083 4.8 0.224 
NaCl 0.083 4.24 0.196 
NaCl (mol L−10.02 0.083 3.94 0.186 
0.04 0.083 4.22 0.200 
0.08 0.083 4.7 0.224 
Table 2

Energy consumption calculations for the decontamination of erythrosine

ParametersTime (h)Average voltage (V)Energy consumption (kWh m−3)
Current density (mA cm−20.166 3.3 0.123 
0.166 4.2 0.298 
0.166 5.2 0.582 
0.166 6.2 0.941 
10 0.166 7.1 1.325 
12 0.166 7.96 1.770 
Electrolytes Na2SO4 0.166 4.8 0.717 
NaNO3 0.166 6.46 0.971 
NaCl 0.166 6.2 0.941 
NaCl (mol L−10.02 0.166 5.06 0.304 
0.04 0.166 5.33 0.806 
0.08 0.166 6.1 0.926 
ParametersTime (h)Average voltage (V)Energy consumption (kWh m−3)
Current density (mA cm−20.166 3.3 0.123 
0.166 4.2 0.298 
0.166 5.2 0.582 
0.166 6.2 0.941 
10 0.166 7.1 1.325 
12 0.166 7.96 1.770 
Electrolytes Na2SO4 0.166 4.8 0.717 
NaNO3 0.166 6.46 0.971 
NaCl 0.166 6.2 0.941 
NaCl (mol L−10.02 0.166 5.06 0.304 
0.04 0.166 5.33 0.806 
0.08 0.166 6.1 0.926 

From the above discussion, a brief comparison of electrochemical and photolytic degradation procedures can be deduced. In the case of photolytic degradation, up to 90% of degradation was obtained at the cost of high-energy consumption. While in the case of electrochemical degradation, 100% results were obtained with low cost, cheap equipment, more feasibility, and more accuracy. Hence, the latter was found to be the most effective method for the degradation of both tested dyes.

Statistical analysis and modeling

Based on the historical data, optimization of the treatment parameters of Allura red and erythrosine for electrochemical oxidation was performed by RSM using statistical software package MINITAB. Custom data analysis option was utilized, which is similar to the custom design historical data available in statistical software package DESIGN EXPERT. The first step in RSM is to determine a mathematical equation that describes the functional relationship between response/dependent variables Y (in this case, Allura red and erythrosine dyes) and a set of independent variables X (in this case, these are operating parameters such as time, pH, current density, and NaCl concentration). The mathematical expression of the response could be a first-order, second-order, or cubical model, which fits well in the region of the independent variables. Regression analysis was applied to build an adequate model for each response factor and the goodness-of-fit and statistical significance of the models were assessed by analysis of variance (ANOVA) for 95% confidence interval (Anderson & Whitcomb 2015). The design matrix of the four independent variables in the uncoded form based on previous experiments is presented in Table 3 and Tables S1 and S2 (Supplementary Information), along with the predicted and experimental values of the responses (Allura red and erythrosine dye removal). The predicted values of the responses were obtained from the quadratic model-fitting techniques for the percentage of Allura red dye removal and erythrosine dye. The corresponding quadratic polynomial Equations (10) and (11) are obtained based on the experimental results.
(10)
(11)
Table 3

Experimental levels and ranges of individual variables for Allura red and erythrosine dye degradation process

ParametersAllura red
Erythrosine dye
Levels
Levels
− 101− 101
Time (min) 5.5 10 
pH 12 12 
NaCl (moL−10.02 0.06 0.1 0.02 0.06 0.1 
Current density (mA cm−24.5 12 
ParametersAllura red
Erythrosine dye
Levels
Levels
− 101− 101
Time (min) 5.5 10 
pH 12 12 
NaCl (moL−10.02 0.06 0.1 0.02 0.06 0.1 
Current density (mA cm−24.5 12 

To test the adequacy and validity of the second-order model, ANOVA was performed as shown in Table 4. The high F-value of the models (i.e. 88.2 for Allura red and 15.4 for erythrosine) are higher than for Fisher Table (2.424 for a 95% coefficient level), demonstrating that the model is fit to the experimental results (Zhang et al. 2018). Moreover, linear, self-interaction, and two-way interactions among the variables are significant as in most cases p < 0.05. A good presentation of coefficient of determination for Allura red (R2: 0.9584) implies that 95.84% of variables are explained by the model, whereas only 4.16% of variables could not be explained, and 89.03% in case of erythrosine dye (Figure S1, Supplementary Information).

Table 4

ANOVA of the parameters for Allura red and erythrosine dye removal efficiency

TermAllura red removal efficiency (%)
Erythrosine removal efficiency (%)
DFAdj SSAdj MSF-valuep-valueDFAdj SSAdj MSF-valuep-value
Model 11 54,710 4,973.7 88.02 0 11 31,643.6 2,876.69 15.49 0 
Linear 43,111.6 10,777.9 190.74 19,909 4,977.25 26.8 
Time 5,685.8 5,685.8 100.62 2,027.4 2,027.38 10.92 0.003 
pH 34,325.3 34,325.3 607.47 7,593.9 7,593.92 40.9 
NaCl 3,367.4 3,367.4 59.59 8,303.6 8,303.62 44.72 
Current 888 888 15.72 1,218.6 1,218.55 6.56 0.018 
Square 1,396.8 349.2 6.18 0.001  1,691.1 422.78 2.28 0.095 
Time*Time 897.3 897.3 15.88 0.9 0.86 0.946 
pH*pH 0.3 0.3 0.01 0.943 922.9 922.95 4.97 0.037 
NaCl*NaCl 220.5 220.5 3.9 0.05 497.9 497.89 2.68 0.116 
Current*Current 229.4 229.4 4.06 0.05 7.9 7.94 0.04 0.838 
Two-Way Interaction 3,428.6 1,142.9 20.23  1,142.7 380.89 2.05 0.137 
Time*pH 20.6 20.6 0.36 0.549 12.4 12.39 0.07 0.799 
Time*NaCl 1,762.5 1,762.5 31.19 726.8 726.79 3.91 0.061 
Time*Current 1,606.3 1,606.3 28.43 345.2 345.17 1.86 0.187 
  R2 = 0.9584  R2(Adj) = 0.9475   R2 = 0.8903  R2(Adj) = 0.8328  
TermAllura red removal efficiency (%)
Erythrosine removal efficiency (%)
DFAdj SSAdj MSF-valuep-valueDFAdj SSAdj MSF-valuep-value
Model 11 54,710 4,973.7 88.02 0 11 31,643.6 2,876.69 15.49 0 
Linear 43,111.6 10,777.9 190.74 19,909 4,977.25 26.8 
Time 5,685.8 5,685.8 100.62 2,027.4 2,027.38 10.92 0.003 
pH 34,325.3 34,325.3 607.47 7,593.9 7,593.92 40.9 
NaCl 3,367.4 3,367.4 59.59 8,303.6 8,303.62 44.72 
Current 888 888 15.72 1,218.6 1,218.55 6.56 0.018 
Square 1,396.8 349.2 6.18 0.001  1,691.1 422.78 2.28 0.095 
Time*Time 897.3 897.3 15.88 0.9 0.86 0.946 
pH*pH 0.3 0.3 0.01 0.943 922.9 922.95 4.97 0.037 
NaCl*NaCl 220.5 220.5 3.9 0.05 497.9 497.89 2.68 0.116 
Current*Current 229.4 229.4 4.06 0.05 7.9 7.94 0.04 0.838 
Two-Way Interaction 3,428.6 1,142.9 20.23  1,142.7 380.89 2.05 0.137 
Time*pH 20.6 20.6 0.36 0.549 12.4 12.39 0.07 0.799 
Time*NaCl 1,762.5 1,762.5 31.19 726.8 726.79 3.91 0.061 
Time*Current 1,606.3 1,606.3 28.43 345.2 345.17 1.86 0.187 
  R2 = 0.9584  R2(Adj) = 0.9475   R2 = 0.8903  R2(Adj) = 0.8328  

The interaction effects of time, pH, NaCl concentration, and current density on removal efficiency of Allura red is presented in Figure S2(a)–S2(e), which shows the variation in removal rate when two parameters are varied while the remaining two parameters hold at mean values according to Table 3. It is evident that in all cases, a higher removal rate is achieved at lower pH values in the tested range, while the other parameters were varied between their low to upper range. Similar criteria were set to evaluate the interaction effect of various variables on the degradation efficiency of erythrosine dye as shown in Figure S3(a)–S3(e), which shows that accelerated removal rates are achieved at low pH values, higher NaCl concentrations, and elevated current densities.

To see the effect of individual parameters and their interaction on the electrochemical decolorization process, Pareto analysis was performed. The percentage of input variables on the Allura red and erythrosine dye degradation rate was evaluated according to Pareto analysis according to Equation (12) (Khataee et al. 2010):
(12)

Figure S4 presents the Pareto chart of standardized effect for a percentage of Allura red removal, which shows that all four input variables have a significant influence on the decay efficiency of Allura red. Among all four operating parameters, pH (70.04%) and electrolysis time (11.60%) are the main factors on the Allura red degradation efficiency, while the contribution of individual factors for erythrosine degradation was found in the order: NaCl > pH > time > current density (Figure S5).

The optimized conditions for Allura red and erythrosine dye removal were determined by the response optimizer. The aim was set as ‘maximize’ to obtain the maximum degradation efficacy of Allura red and determine the optimum operating conditions. Many solutions/operating conditions are available to achieve maximized degradation efficiency of Allura red and erythrosine dye (Tables S3 and S4), and one representative solution for Allura red degradation is presented in Figure S6, which shows that the highest Allura red degradation efficiency (100%) was achieved at 1.95 min, pH 5.05, NaCl concentration of 0.1 mol/L, and applied current of 7 mA. However, many solutions are available that have the desired removal efficiency where operating parameters vary between their upper and lower limits to achieve the same target. It is interesting to see that >95% decay rate is only achieved when pH varies between 4 and 5, which is in accordance with the Pareto chart indicating that pH is the most influential parameter (Table S4). In Table S4, the selection criteria for the best operating condition should be based on minimum energy consumption together with accelerated and desired removal rates.

In this study, the photolytic and electrochemical degradation of erythrosine and Allura red dyes have been evaluated. Critical parameters that affect these processes, such as pH, temperature, supporting electrolytes, NaCl concentration, and current density, were optimized for maximum discoloration efficiency. The following conclusions can be drawn from the study:

  • The photolytic process was slow and degraded 95.69% Allura red in 1 h and took 6 h to degrade erythrosine up to 90.84%. Solution pH and temperature has an influence on the rate of degradation.

  • Photolytic degradation mainly involves the breaking of bonds due to the absorption of UV radiation and hydroxyl radical produced in an aqueous medium.

  • Electrochemical degradation using Ti/Ru0.3Ti0.7O2 anode was fast and degraded erythrosine and Allura red dye in 10 and 5 min, respectively.

  • The electrochemical degradation of Allura red and erythrosine was strongly influenced by pH and NaCl concentration and moderately affected by current density.

  • The electrochemical process mainly involves indirect oxidation of dyes in the bulk of solution, and the reactive chlorine species, such as Cl2, HClO, ClO, are generated on the anode surface and oxidize the dye molecules in solution.

  • The high removal efficiency and fast degradation rate demonstrate the electrochemical process as an alternative to treat wastewater containing food dyes.

All listed authors are grateful to their representative departments and universities for the financial support and analytical services used in this study.

The authors declare that they have no conflict of interest.

The Supplementary Material for this paper is available online at https://dx.doi.org/10.2166/wst.2020.182.

Ali
N.
Kamal
T.
Ul-Islam
M.
Khan
A.
Shah
S. J.
Zada
A.
2018
Chitosan-coated cotton cloth supported copper nanoparticles for toxic dye reduction
.
International Journal of Biological Macromolecules
111
,
832
838
.
Ali
N.
Zaman
H.
Bilal
M.
Nazir
M. S.
Iqbal
H. M.
2019
Environmental perspectives of interfacially active and magnetically recoverable composite materials–A review
.
Science of the Total Environment.
670
,
523
538
.
Ali
N.
Khan
A.
Nawaz
S.
Bilal
M.
Malik
S.
Badshah
S.
Iqbal
H. M.
2020
Characterization and deployment of surface-engineered chitosan-triethylenetetramine nanocomposite hybrid nano-adsorbent for divalent cations decontamination
.
International Journal of Biological Macromolecules
152
,
663
671
.
Al-Shabib
N. A.
Khan
J. M.
Malik
A.
Sen
P.
Ramireddy
S.
Chinnappan
S.
Alamery
S. F.
Husain
F. M.
Ahmad
A.
Choudhry
H.
Khan
M. I.
Shahzad
S. A.
2019
Allura red rapidly induces amyloid-like fibril formation in hen egg-white lysozyme at physiological pH
.
International Journal of Biological Macromolecules
127
,
297
305
.
Anderson
M.
Whitcomb
P.
2015
DOE Simplified
, 2nd edn.
Productivity Press
,
New York
.
Aziz
A.
Ali
N.
Khan
A.
Bilal
M.
Malik
S.
Ali
N.
Khan
H.
2020
Chitosan zinc sulfide nanoparticles, characterization and their photocatalytic degradation efficiency for azo dyes
.
International Journal of Biological Macromolecules
153
,
502
512
.
Baddouh
A.
Bessegato
G. G.
Rguiti
M. M.
El-Ibrahimi
B.
Bazzi
L.
Hilali
M.
Zanoni
M. V. B.
2018
Electrochemical decolorization of Rhodamine B dye: influence of anode material, chloride concentration and current density
.
Journal of Environmental Chemical Engineering
6
,
2041
2047
.
Bendjama
H.
Merouani
S.
Hamdaoui
O.
Bouhelassa
M.
2019
UV-photolysis of Chlorazol Black in aqueous media: process intensification using acetone and evidence of methyl radical implication in the degradation process
.
Journal of Photochemistry & Photobiology A: Chemistry
368
,
268
275
.
Bilal
M.
Rasheed
T.
Iqbal
H. M.
Li
C.
Wang
H.
Hu
H.
Zhang
X.
2018a
Photocatalytic degradation, toxicological assessment and degradation pathway of CI Reactive Blue 19 dye
.
Chemical Engineering Research and Design
129
,
384
390
.
Bilal
M.
Rasheed
T.
Iqbal
H. M.
Hu
H.
Wang
W.
Zhang
X.
2018b
Toxicological assessment and UV/TiO2-based induced degradation profile of reactive black 5 dye
.
Environmental Management
61
(
1
),
171
180
.
Bilal
M.
Rasheed
T.
Sosa-Hernández
J. E.
Raza
A.
Nabeel
F.
Iqbal
H.
2018c
Biosorption: an interplay between marine algae and potentially toxic elements – a review
.
Marine Drugs
16
(
2
),
65
.
Boucenna
A.
Oturan
N.
Chabani
M.
Bouafia-Chergui
S.
Oturan
M. A.
2019
Degradation of Nystatin in aqueous medium by coupling UV-C irradiation, H2O2photolysis, and photo-Fenton processes
.
Environmental Science and Pollution Research
26
,
23149
23161
.
Gnanasekaran
L.
Hemamalini
R.
Rajendran
S.
Qin
J.
Yola
M. L.
Atar
N.
Gracia
F.
2019
Nanosized Fe3O4 incorporated on a TiO2 surface for the enhanced photocatalytic degradation of organic pollutants
.
Journal of Molecular Liquids
287
,
110967
.
Jager
D.
Kupka
D.
Vaclavikova
M.
Ivanicova
L.
Gallios
G.
2018
Degradation of Reactive Black 5 by electrochemical oxidation
.
Chemosphere
190
,
405
416
.
Jain
R.
Bhargava
M.
Sharma
N.
2005
Electrochemical degradation of erythrosine dye in pharmaceutical and food product industries effluent
.
Journal of Scientific and Industrial Research
,
64
,
191
197
.
Jeirani
Z.
Jan
B. M.
Ali
B. S.
Noor
I.
See
C.
Saphanuchart
W.
2013
Prediction of the optimum aqueous phase composition of a triglyceride microemulsion using response surface methodology
.
Journal of Industrial and Engineering Chemistry
19
(
4
),
1304
1309
.
Khan
H.
Khalil
A. K.
Khan
A.
Saeed
K.
Ali
N.
2016
Photocatalytic degradation of bromophenol blue in aqueous medium using chitosan conjugated magnetic nanoparticles
.
Korean Journal of Chemical Engineering
33
,
2802
2807
.
Khan
A.
Shah
S. J.
Mehmood
K.
Ali
N.
Khan
H.
2018
Synthesis of potent chitosan beads a suitable alternative for textile dye reduction in sunlight
.
Journal of Materials Science: Materials in Electronics
30
(
1
),
406
414
.
Khan
A.
Ali
N.
Bilal
M.
Malik
S.
Badshah
S.
Iqbal
H.
2019a
Engineering functionalized chitosan-based sorbent material: characterization and sorption of toxic elements
.
Applied Sciences
9
(
23
),
5138
.
Khan
H.
Khalil
A. K.
Khan
A.
2019b
Photocatalytic degradation of alizarin yellow in aqueous medium and real samples using chitosan conjugated tin magnetic nanocomposites
.
Journal of Materials Science: Materials in Electronics
30
(
24
),
21332
21342
.
Martínez-Huitle
C. A.
Panizza
M.
2018
Electrochemical oxidation of organic pollutants for wastewater treatment
.
Current Opinion in Electrochemistry
11
,
62
71
.
Mazloom
F.
Ghiyasiyan-Arani
M.
Monsef
R.
Salavati-Niasari
M.
2018
Photocatalytic degradation of diverse organic dyes by sol-gel synthesized Cd2V2O7 nanostructures
.
Journal of Materials Science: Materials in Electronics
29
,
18120
18127
.
Muhamad
M. S.
Hamidon
N.
Salim
M. R.
Yusop
Z.
Lau
W. J.
Hadibarata
T.
2018
Response surface methodology for modeling bisphenol a removal using ultrafiltration membrane system
.
Water, Air, & Soil Pollution
229
(
7
),
222
.
Nakamura
K. C.
Guimarães
L. S.
Magdalena
A. G.
Angelo
A. C. D.
Andrad
A. R.
Garcia-Segura
S.
Pipi
A. R. F.
2019
Electrochemically driven mineralization of Reactive Blue 4 cotton dye: on the role of in situ generated oxidants
.
Journal of Electroanalytical Chemistry
840
,
415
422
.
Rasheed
T.
Bilal
M.
Iqbal
H. M.
Hu
H.
Zhang
X.
2017
Reaction mechanism and degradation pathway of rhodamine 6G by photocatalytic treatment
.
Water, Air, & Soil Pollution
228
(
8
),
291
.
Rasheed
T.
Bilal
M.
Iqbal
H. M.
Shah
S. Z. H.
Hu
H.
Zhang
X.
Zhou
Y.
2018a
TiO2/UV-assisted rhodamine B degradation: putative pathway and identification of intermediates by UPLC/MS
.
Environmental Technology
39
(
12
),
1533
1543
.
Rasheed
T.
Bilal
M.
Li
C.
Nabeel
F.
Khalid
M.
Iqbal
H. M.
2018b
Catalytic potential of bio-synthesized silver nanoparticles using Convolvulus arvensis extract for the degradation of environmental pollutants
.
Journal of Photochemistry and Photobiology B: Biology
181
,
44
52
.
Safni
S.
Wahyuni
M. R.
Khoiriah
K.
Yusuf
Y.
2019
Photodegradation of phenol using N-doped TiO2 catalyst
.
Molecule
14
,
6
10
.
Sahu
K.
kuriakose
S.
Singh
J.
Satpati
B.
Mohapatra
S.
2018
Facile synthesis of ZnO nanoplates and nanoparticle aggregates for highly efficient photocatalytic degradation of organic dyes
.
Journal of Physics and Chemistry of Solids
121
,
186
195
.
Shetti
N. P.
Malode
S. J.
Malladi
R. S.
Nargund
S. L.
Shuklad
S. S.
Aminabhavid
T. M.
2019
Electrochemical detection and degradation of textile dye Congo red at graphene oxide modified electrode
.
Microchemical Journal
146
,
387
392
.
Shi
X.
Tian
A.
You
J.
Yang
H.
Wang
Y.
Xue
X.
2018
Degradation of organic dyes by a new heterogeneous Fenton reagent – Fe2GeS4 nanoparticle
.
Journal of Hazardous Materials
353
,
182
189
.
Siedlecka
E. M.
Ofiarska
A.
Borzyszkowska
A. F.
Białk-Bielinska
A.
Stepnowski
P.
Pieczynska
A.
2018
Cytostatic drug removal using electrochemical oxidation with BDD electrode: degradation pathway and toxicity
.
Water Research
144
,
235
245
.
Soltani
T.
Entezari
M. H.
2013
Photolysis and photocatalysis of methylene blue by ferrite bismuth nanoparticles under sunlight irradiation
.
Journal of Molecular Catalysis A: Chemical
377
,
197
203
.
Thiam
A.
Sirés
I.
Garrido
J. A.
Rodríguez
R. M.
Brillas
E.
2015
Effect of anions on electrochemical degradation of azo dye Carmoisine (Acid Red 14) using a BDD anode and air-diffusion cathode
.
Separation and Purification Technology
140
,
43
52
.
Vasconcelos
V. M.
Ponce-de-León
C.
Rosiwal
S. M.
Lanza
M. R. V.
2019
Electrochemical degradation of reactive blue 19 dye by combining boron-doped diamond and reticulated vitreous carbon electrodes
.
Chem. Electro. Chem.
6
,
3516–3524. https://doi.org/10.1002/celc.201900563
.
Wang
N. N.
Hu
Q.
Hao
L. L.
Zhao
Q.
2019
Degradation of Acid Organic 7 by modified coal by ash-catalyzed Fenton-like a process: kinetics and mechanism study
.
International Journal of Environmental Science and Technology
16
,
89
100
.
Zaouak
A.
Noomen
A.
Jelassi
H.
2019
Gamma radiolysis of erythrosine dye in aqueous solutions
.
Journal of Radioanalytical and Nuclear Chemistry
321
,
965
971
.
Zhang
L.
Ding
W.
Qiu
J.
Jin
H.
Ma
H.
Li
Z.
Cang
D.
2018
Modeling and optimization study on sulfamethoxazole degradation by electrochemically activated persulfate process
.
Journal of Cleaner Production
197
,
297
305
.
Zhu
C.
Jiang
C.
Chen
S.
Mei
R.
Wang
X.
Cao
J.
Ma
L.
Zhou
B.
Wei
Q.
Ouyang
G.
Yu
Z.
Zhou
K.
2018
Ultrasound enhanced electrochemical oxidation of Alizarin Red S on boron-doped diamond (BDD) anode: effect of degradation process parameters
.
Chemosphere
209
,
685
695
.

Supplementary data