This study reports on a novel composite of bimetallic FeO/ZnO nanoparticles supported by spent coffee grounds (SCGs). The leaves of eucalyptus (Eucalyptus globulus Labill) and trumpet (Cuphea aequipetala Cav), with their high antioxidant content, serve as bio-reductant agents for the green synthesis of nanoparticles. It was characterized using Fourier transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), energy dispersive X-ray spectroscopy (EDS), X-ray diffraction (XRD), and transmission electron microscopy (TEM). Stable nanoparticles were produced with different diameters of 5–30 nm, and they were applied as catalysts in Fenton-like processes. Box–Behnken experimental design (BBD) was used to determine the optimal removal efficiency with three factors and was used in the degradation of textile dyes from wastewater. The nanocomposite displayed a high decolorization ratio (88%) of indigo carmine in the presence of H2O2 combined. This resulted in a reduction in chemical oxygen demand (COD) of 56% at 120 min of contact time at an initial pH of 3.0 and a 0.5 g/L of catalyst dose, a H2O2 concentration of 8.8 mM/L, an initial dye concentration of 100 mg/L, and a temperature of 25 °C.

  • Green synthesis of FeO/ZnO NPs using eucalyptus (Eucalyptus globulus Labill) and trumpet (Cuphea aequipetala Cav) extract was done.

  • The process was optimized using a Box–Behnken design.

  • UV–Visible spectroscopy, SEM, XRD, and TEM were done to analyze the structure morphology, size, and shape of nanoparticles.

  • Nanocomposite of bimetallic FeO/ZnO was used for the removal of indigo carmine supported by spent coffee grounds (SCGs).

The textile industry is one of the largest consumers of industrial water and producers of effluents in the world. The dye concentration of textile effluents varies widely (Azanaw et al. 2022). In addition, these industries have high concentrations of chemical oxygen demand (COD), biochemical oxygen demand (BOD), total suspended solids (TSS), temperature, and salts (Yaseen & Scholz 2019). The discharge of dyed effluents negatively affects ecosystems because they inhibit the penetration of sunlight, generating environmental problems (Ardila-leal et al. 2021). Indigo carmine dye, also known as 5,5′-indigodisulfonic acid disodium salt, is classified as a vat dye and is a basic organic blue dye that has been used in the textile industry (Benkhaya et al. 2020). It is a commercially available dye and is cheap and stable, but it is also hazardous to human health and highly soluble in aqueous solutions. Currently, its main consumption is in the blue jeans industry, with an annual production that exceeds 120,000 tons (Hevira et al. 2020; Cesur Özcan & Gürel 2023). Some treatment methods that have been used in the decolorization of indigo carmine such as ozonation (Peramune et al. 2022), electrocoagulation (Oliveira et al. 2020), and filtration, are efficient at removing dye, but present equipment problems and high energy consumption (Mousset et al. 2021).

The use of nanotechnology has gained prominence owing to technological advancements and the use of a variety of nanomaterials such as nanotubes, nanocomposites, nanofilters, and nanoparticles (NPs) to build systems and have significant applications in environmental issues. Some of these drawbacks, for example, carbon nanotubes are related to the difficulty of producing them without defects and their high cost of production (Aghababai Beni & Jabbari 2022; Elsehly et al. 2023).

Specifically, NPs are used due to their properties related to high surface area, which often makes them stand out from other bulk materials (Kumar et al. 2021). Furthermore, it is possible to overcome the limitations of conventional treatment technologies and employ safe, cheap, and non-toxic methods in their synthesis. Various physicochemical methods have been employed for the synthesis of metallic NPs, but the synthesis of these NPs through environmentally benign methods is more attractive and promising due to the production of non-toxic, cost-effective, and high-quality NPs (Nair et al. 2022). Plants have been considered the best choice to reduce metal ions and are ideal candidates for large-scale production; their phytochemicals like terpenes, flavones, ketones, aldehydes, amides, and carboxylic acids can be utilized as reducing and capping agents, minimizing the agglomeration and oxidation of NPs (Albeladi et al. 2020; Nasrollahzadeh et al. 2020). Leaf extracts from eucalyptus (Eucalyptus globulus Labill.) and trumpet (Cuphea aequipetala Cav.) contain phenolic compounds such as syrupic acid, epicatechin, quercetin, gallic acid, robustaol B, and eucalyptin, among other polyphenols (Martınez-Bonfil et al. 2014; Vitta et al. 2020). Polyphenols are powerful antioxidants and free radical scavengers. Iron NPs can be prepared using plant extracts (polyphenols and caffeine) as intrinsic reductants and dispersants (Xiao et al. 2020). Many researchers have employed a green synthesis process for the preparation of metal/metal oxide NPs, such as iron and zinc, via plant leaf extracts (Katata-Seru et al. 2018; Jiménez-Rosado et al. 2022).

Zinc oxide (ZnO) NPs with iron oxide allow for obtain a material with improved photocatalytic properties, due to the addition of iron oxide, which reduces the width of the energy gap (Długosz et al. 2021; Elsehly et al. 2023; Sun et al. 2023). Zinc and iron oxide NPs have the ability to oxidize organic compounds, which makes them applicable for wastewater treatment (Aragaw et al. 2021). The application of supported NPs enables the reaction to be fast due to increased surface area and active sites. Therefore, NPs are able to work at low concentrations, reducing the amount of catalyst compared to that applied in conventional treatment. In the case of ZnO NPs, modifying them with other elements like iron increases their photocatalytic performance under visible light irradiation. The combination of two different metallic elements effectively improves the efficiency of nanomaterials through their individual metallic properties and the new properties that arise due to the synergistic effect (Scaria et al. 2020; Ferrier et al. 2022; Liang et al. 2022). Therefore, they may be useful for water and wastewater treatment, especially for recalcitrant contaminants, and thus could contribute to sustainable solutions to the water crisis (Scaria et al. 2020).

Coffee is a global consumer product; the annual global coffee consumption is about 8 million tons, and this consumption grows at an annual rate of 1.5% (Jin et al. 2018). Spent coffee grounds (SCGs), which are composed primarily of macromolecular cellulose and lignocellulose, can be used in sustainable processes and bioproducts due to their large amount of stock and renewability (Mangindaan et al. 2020). Six million tons of such residues are produced every year, according to the coffee trade record from the International Coffee Organization. The coffee extract could be used as a green reductant for synthesizing metallic NPs and function as a support material for heterogeneous reactions (Chien et al. 2019; Wu et al. 2019). In this paper, a novel composite was obtained with iron/zinc oxide nanoparticles (FeO/ZnO NPs) supported by SCGs. This nanomaterial was assayed for the degradation of indigo carmine in wastewater using a Fenton-like process.

Materials

Zinc nitrate [Zn(NO3)2 • 6H2O] purity 99.1%, ferrous sulfate [FeSO4 • 7H2O] purity 100%, and hydrogen peroxide 30% reagent grade were acquired from Fermont, indigo carmine dye from chemical reagents HYCEL, and for pH adjustment, a 4 M of sulfuric acid solution and a 2 M of NaOH solution were used. Eucalyptus (E. globulus Labill) and trumpet (C. aequipetala Cav) leaves were purchased at the local market from Metepec, State of Mexico. SCGs were donated by a local coffee shop. This is a residue with a fine particle size obtained during the treatment of raw coffee powder with hot water during the preparation of coffee. The coffee beans were of Mexican origin.

Green synthesis of FeO/ZnO + SCG composites

Preparation of eucalyptus–trumpet extract

Eucalyptus and trumpet leaves were washed several times with tap water to remove dust and any additional waste and were subsequently dried in the oven at 100 °C for 2 h, after which they were finely crushed and powdered with a mortar and pestle. The plants' extract was prepared following the method reported by Nagar & Devra (2018) and Siripireddy & Mandal (2017). 2.5 g of each plant were weighed and combined to obtain a total of 5 g, which was subsequently added to a beaker with 100 mL of distilled water. This mixture was then brought to a boil for 10 min and mixed using a magnetic stirrer before being filtered with standard filter paper to obtain the extract. The filtrate was used immediately for the biosynthesis of FeO/ZnO NPs.

Preparation of the FeO/ZnO + SCG composite

For the biosynthesis of Zn/Fe oxide, 20 mL of 0.05 M Zn(NO3)2 and 20 mL of 0.02 M FeSO4 were prepared. The reduction reaction was carried out in two steps: first, 2 g of SCG were weighed, washed, and placed in a 50-mL beaker, to which 20 mL of the Zn(NO3)2 solution was added, before being constantly stirred for 2 h. Separately, 20 mL of infusion was separated, and its pH of 12 was adjusted. This infusion was added to the zinc solution with the SCG, and the temperature was raised to 100 °C for 1 h. Subsequently, another 20 mL of the eucalyptus–trumpet extract infusion were added without pH adjustment, immediately followed by 20 mL of iron solution. The mixture was then constantly stirred for 1 h before being left undisturbed for 24 h, and then filtered through a standard filter paper, rinsed with distilled water, dried in the oven at 100 °C, placed in an airtight container, and reserved for later use.

Characterization FeO/ZnO + SCG composite

UV–vis spectral analysis was performed using the VELAB VE-5600UV PC UV–visible spectrophotometer, where the spectrum corresponding to the surface plasmon resonance (SPR) typical of FeO and ZnO NPs was identified. The absorption of the sample was recorded at wavelengths ranging from 200 to 900 nm, at a resolution of 1 nm, with 1 cm long quartz cuvettes.

The Fourier transform infrared (FTIR) analysis was performed using the Bruker Tensor 27 Fourier transform infrared spectrometer with an MIR source with the Bruker platinum ATR accessory with diamond glass to identify the functional groups present. The spectra were obtained in the infrared region between 4,000 and 400 cm−1. The material surface analysis and morphology of the biosynthesized NPs were studied using the JEOL JSM-6510LV scanning electron microscope (SEM), which was coupled with an X-ray detector in order to perform chemical analysis by means of energy dispersion (EDS), Oxford, with a resolution of 137 eV. The NP sizes were determined using transmission electron microscopy (TEM) on evaporated drops from the reaction mixture placed over carbon-coated grids. TEM observations were performed on a JEOL 2100 TEM operated at a 200 kV accelerating voltage with a LaB6 source. X-ray powder diffraction (XRD) was performed using XRD Rigaku/Ultima-IV equipment with Cu-kα radiation (1.5406 Å) at 45 kV and a scanning speed of 2°/min. The pHpzc of the FeO/ZnO + SCG composite was determined using the procedure as follows: 50 mL of distilled water was taken in 100 mL of Erlenmeyer flasks, adjusting the pH of each solution between 2 and 8 units, adding the appropriate amounts of 0.1 M of HCl and 0.1 M NaOH, a fixed dose of 10 mg composite. The mixture was shaken at 170 rpm for 48 h. Then, the samples were centrifuged, and the pH of each solution was measured (Farrokhi et al. 2014).

Experimental design and optimization

Optimization is one of the essential steps in both the development of a synthesis protocol and the evaluation of the interaction of reaction parameters influencing the biosynthesis. An experimental response surface Box–Behnken design was realized using the Minitab Ver. 19.0 statistical package. In order to optimize the Fenton-like process with the FeO/ZnO + SCG catalyst, three factors were considered with two levels each and six central points in duplicate, obtaining a total of 30 runs; the dye concentration, amount of catalyst, and amount of hydrogen peroxide were considered independent variables, while the percentage of dye removal was considered a dependent or response variable. The values of the independent variables were selected based on the literature that was previously reviewed during research carried out for the removal of dyes through Fenton and Fenton-like processes (Hassani et al. 2018; Nadeem et al. 2020; Bel et al. 2021); the obtained matrix can be observed in Table 1. The initial conditions of the experiments were a volume of 10 mL and a pH of 3.0 adjusted with a 0.1 M sulfuric acid solution at a reaction time of 120 min.

Table 1

Experimental design using the Box–Behnken design

Run numberVariables
Dye concentration (mg/L)Catalyst (mg)H2O2 (μL)
50 
100 
50 10 
100 10 
50 7.5 
100 7.5 
50 7.5 
100 7.5 
75 
10 75 10 
11 75 
12 75 10 
13 75 7.5 
14 75 7.5 
15 75 7.5 
Run numberVariables
Dye concentration (mg/L)Catalyst (mg)H2O2 (μL)
50 
100 
50 10 
100 10 
50 7.5 
100 7.5 
50 7.5 
100 7.5 
75 
10 75 10 
11 75 
12 75 10 
13 75 7.5 
14 75 7.5 
15 75 7.5 

The percentage of dye removal was monitored every 15 min throughout the reaction, taking as a sample a 100 μL aliquot that was diluted and read using UV–Vis spectrophotometry with the HACH DR 4000 U spectrophotometer, using Equation (1) at the characteristic maximum absorbance of indigo carmine (610 nm).
(1)

Textile dyeing wastewater sample

The textile industry effluents used in the present study were collected from Mohammedia in Almoloya del Río, State of Mexico, and contain a mixture of compounds, with indigo carmine as the main dye.

Once the optimal conditions were obtained, they were tested with a sample of textile wastewater. The wastewater treatment was performed in a beaker with 0.5 g/L of FeO/ZnO + SWPS added to 100 mL of IC aqueous solution (pH = 3.1), H2O2 concentration 8.8 mM/L, under constant stirring for 60 min to achieve equilibrium. Subsequently, it was placed under direct sunlight (651–787 W/m2 in Toluca, México) for 60 min of contact time.

Analytical methods

The sample was characterized by determined parameters such as pH, conductivity, turbidity, and COD in accordance with the procedures established in the Standard Methods for the Examination of Water and Wastewater, 2012 edition. The dye removal was measured through UV–visible spectrophotometry with the VE-5600UV PC spectrophotometer, using Equation (1) at the maximum absorbance of the sample.

Analysis of the biosynthesized FeO/ZnO + SCG composite

UV–visible study

In the case of the reaction of zinc with the bioreducing components of the infusion of eucalyptus and trumpet (Eu-Tr), the formation of a precipitate is observed, while adding the iron changes the whole solution's dye to black, corroborating the formation of the NPs. UV–visible spectrophotometry was achieved, where the absorption bands of the surface plasmon resonance (SPR), which are characteristic of the NPs, were observed. In Figure 1, the gray solid line shows the spectrum of the mixed infusions of eucalyptus and trumpet extracts, with a maximum absorbance of approximately 274 nm related to the phytochemical compounds present in the plants that are responsible for the reduction of the precursor ion, such as polyphenols, that are between 250 and 350 nm (Hassane et al. 2012). The black solid line shows the iron spectrum obtained, which appears to overlap with the SPR absorption band of zinc NPs at wavelengths from 240 to 390 nm (Devatha et al. 2016; Chinnasamy et al. 2018; Katata-Seru et al. 2018).
Figure 1

UV–Vis spectra showing the absorbance of the infusion of Eucalyptus–Trumpet and the solution of the reduction reaction with the metallic salts.

Figure 1

UV–Vis spectra showing the absorbance of the infusion of Eucalyptus–Trumpet and the solution of the reduction reaction with the metallic salts.

Close modal

Characterization studies of composite FeO/ZnO + SCG

The FTIR spectra shown in Figure 2(a) were conducted to study the functional groups that exist in the samples of eucalyptus–trumpet extract and the presence of organic content on the FeO/ZnO NPs. One of the most prominent peaks is observed around 3,300 cm−1 in the three spectra, which is characteristic of the stretching vibration of the O–H groups present in the polyphenols of the extracts. The intensity of this peak decreases considerably after synthesis, suggesting the participation of polyphenols in the reduction of metals (Fe2+ and Zn2+) (Liu et al. 2018). A weak peak at 2,924 cm−1 is attributed to the C–H stretching of the alkanes (Weng et al. 2017). The peak value at 2,349 cm−1 is due to the C–N stretching vibration (Chauhan et al. 2020). The peaks in the region of 1,700–1,000 cm−1 are because of the presence of phytochemical constituents in eucalyptus and trumpet, such as aldehyde, phenol, amine, and alkane compounds (Aik Tan et al. 2016; Weng et al. 2017; Akbar Jan et al. 2021). It is also confirmed that the identified functional groups correspond to eucalyptus extract and trumpet extract.
Figure 2

FTIR spectra for the identification of the functional groups in: (a) Eucalyptus–Trumpet extract and FeO/ZnO nanoparticles and (b) spent coffee grounds (SCGs).

Figure 2

FTIR spectra for the identification of the functional groups in: (a) Eucalyptus–Trumpet extract and FeO/ZnO nanoparticles and (b) spent coffee grounds (SCGs).

Close modal

The presence and shifting peaks in the FeO/ZnO NPs after reduction indicate interaction among the functional groups of the plant extract and the metallic precursors. The reduction and stabilization of NPs are aided by this interaction (Liu et al. 2018; Patiño-Ruiz et al. 2020). All the peaks below 1,000 cm−1 should be attributed to the bonds between inorganic elements and therefore show the presence or absence of NPs (Akbar Jan et al. 2021). In this case, one slight peak was observed at 589, indicating the formation of iron oxides due to interaction between the iron and oxygen in the organic compounds (Fe–O) (Devatha et al. 2016; Ouyang et al. 2019), while the capping layer on the surface of NPs explains the absence of signs of ZnO.

The FTIR shown in Figure 2(b) revealed that SCG is composed of lignocellulosic materials; the sharp band at 1,741 cm−1 is associated with carbonyl (C = O) vibration, while an absorption band between 1,700 and 1,500 cm−1 may be assigned to the stretching vibration of C–C and C–N (Chien et al. 2019).

Scanning electron microscopy (SEM-EDS)

SEM images of FeO/ZnO + SCG in Figure 3(a) revealed the surface morphology of the SCGs, showing highly variable, lumpy, and irregular shapes, which are both attributable to and characteristic of support material. When the NPs are added, a morphological change is not observed, except for the hue change; the bright spots were highly dispersed on the surface, which is attributable to the agglomeration of FeO/ZnO NPs (Chien et al. 2019), as shown in Figure 3(b) and 3(c). The EDS spectrum of FeO/ZnO + SCG, shown in Figure 3(d), indicates that it is composed of 7.95% Fe, 8.49 Zn, and 27.95% O, which are part of the NPs, and 55.34% C, 0.45% S, and 0.28% K, which correspond mainly to the support material (SCGs) and possibly to the capping layer of phytochemicals generated during green synthesis (Weng et al. 2017).
Figure 3

SEM images of spent coffee grounds (SCGs) (a), FeO/ZnO + SCG (b), FeO/ZnO + SCG different magnifications (c), and EDS analysis (d).

Figure 3

SEM images of spent coffee grounds (SCGs) (a), FeO/ZnO + SCG (b), FeO/ZnO + SCG different magnifications (c), and EDS analysis (d).

Close modal
The TEM analysis shows the presence of different types of NPs in the obtained material. Figure 4(a) shows that the NPs are irregularly shaped and that some are quasi-spherical, which is likely due to differences in the volume ratio of Fe2O3 and ZnO, which affected the size and morphology (Noukelag et al. 2023). The size distribution was obtained by measuring the size of randomly picked NPs using the ImageJ software; the size distribution histogram is shown in Figure 4(b). The particle sizes ranged from 5 to 30 nm, with an average diameter of 15 nm. It was the polyphenolic compounds present in both extracts that caused the reduction of iron salts to iron NPs. The hydrophobic phenolic compounds attached to the compounds of hydrated Zinc and iron and formed a complex generation of NPs (Obeizi et al. 2020; Vitta et al. 2020).
Figure 4

TEM images of FeO/ZnO nanoparticles (a) and histogram for the particle size distribution (b).

Figure 4

TEM images of FeO/ZnO nanoparticles (a) and histogram for the particle size distribution (b).

Close modal
The XRD spectrum Figure 5 shows prominent peaks observed at 2θ = 31.69°, 34.32°, 36.38°, 47.58°, 46.53°, corresponding to ZnO with planes (1 0 0), (0 0 2), (1 0 1), (1 0 2) and (1 1 0) respectively, which indicate the crystallographic wurtzite structure (JCPDS, card No. 89-7102). The peaks at 24.93°, 33.90°, 39.01°, 40.12° correspond to iron oxide with planes (0 1 2), (1 0 4), (1 1 3) and (0 0 6) respectively, which confirm that the crystalline phase of α-Fe2O3-NPs conforms to the standard data JCPDS, JCPDS card No. 01-1030 (Da et al. 2018; El-belely et al. 2021) and that particles of each compound preserve their crystalline structures. The slight peaks in XRD spectra may be related to the crystallization of organic substances from the green synthesis that coated the surface of NPs (El-belely et al. 2021). The data from XRD are compatible with those obtained by TEM, which show an average NP diameter ranging between 20 and 50 nm; these results are similar to previous studies on the biosynthesis of FeO–ZnO NPs (Sathya et al. 2018; Masoudinia et al. 2021).
Figure 5

XRD pattern of FeO/ZnO NPs.

Figure 5

XRD pattern of FeO/ZnO NPs.

Close modal

Fenton-like experiments for the decolorization of indigo carmine dye

Fenton process of indigo carmine dye experiment design

According to the statistical analysis, the experimental data are adjusted to a complete quadratic model with an R2 of 88.89%. The variance analysis indicates that the factors that have the greatest contribution to the response variable are the quadratic term of the dye concentration (p < 0.000), followed by its interaction with the catalyst (p < 0.000), and the amount of peroxide added (p < 0.001), as shown in the Pareto diagram of standardized effects in Figure 6.
Figure 6

Pareto diagram of standardized effects (the answer is 120 min, α = 0.05).

Figure 6

Pareto diagram of standardized effects (the answer is 120 min, α = 0.05).

Close modal

Table 2 shows the ANOVA analysis corresponding to the optimization of the Box–Behnken experimental design. The factors considered were dye concentration (A), catalyst dose (B), and H2O2 dose (C). In the Fenton process, the dye concentration was significantly affected at a 5% level of significance. The interactions between dye concentration and catalyst were observed to be significant. The interaction between the catalyst and H2O2 was not significant, which suggests the formation of different degradation products when Fe3+ was used.

Table 2

ANOVA for the optimization of the Box–Behnken experimental design

SourceGLSC Sec.ContributionSC Adj.MC Adj.F-valuep-value
Model 77.9175 88.89% 77.918 8.6575 17.79 0.000 
 Linear 22.2782 25.42% 22.278 7.4261 15.26 0.000 
  (A) Dye concentration 7.6300 8.70% 7.630 7.6300 15.68 0.001 
  (B) Catalyst 6.4043 7.31% 6.404 6.4043 13.16 0.002 
  (C) Hydrogen peroxide 8.2438 9.41% 8.244 8.2438 16.94 0.001 
 Square 41.9207 47.83% 41.921 13.9736 28.71 0.000 
  Dye concentration*Dye concentration 36.2618 41.37% 33.086 33.0855 67.97 0.000 
  Catalyst*Catalyst 0.9641 1.10% 1.312 1.3125 2.70 0.116 
  Hydrogen peroxide*Hydrogen peroxide 4.6948 5.36% 4.695 4.6948 9.65 0.006 
 Two factor interaction 13.7186 15.65% 13.719 4.5729 9.39 0.000 
  Dye concentration*Catalyst 9.1916 10.49% 9.192 9.1916 18.88 0.000 
  Dye concentration*Hydrogen peroxide 2.4593 2.81% 2.459 2.4593 5.05 0.036 
  Catalyst*Hydrogen peroxide 2.0677 2.36% 2.068 2.0677 4.25 0.053 
 Error 20 9.7352 11.11% 9.735 0.4868   
  Lack of fit 3.3127 3.78% 3.313 1.1042 2.92 0.064 
  Pure error 17 6.4225 7.33% 6.422 0.3778   
Total 29 87.6527 100.00%     
SourceGLSC Sec.ContributionSC Adj.MC Adj.F-valuep-value
Model 77.9175 88.89% 77.918 8.6575 17.79 0.000 
 Linear 22.2782 25.42% 22.278 7.4261 15.26 0.000 
  (A) Dye concentration 7.6300 8.70% 7.630 7.6300 15.68 0.001 
  (B) Catalyst 6.4043 7.31% 6.404 6.4043 13.16 0.002 
  (C) Hydrogen peroxide 8.2438 9.41% 8.244 8.2438 16.94 0.001 
 Square 41.9207 47.83% 41.921 13.9736 28.71 0.000 
  Dye concentration*Dye concentration 36.2618 41.37% 33.086 33.0855 67.97 0.000 
  Catalyst*Catalyst 0.9641 1.10% 1.312 1.3125 2.70 0.116 
  Hydrogen peroxide*Hydrogen peroxide 4.6948 5.36% 4.695 4.6948 9.65 0.006 
 Two factor interaction 13.7186 15.65% 13.719 4.5729 9.39 0.000 
  Dye concentration*Catalyst 9.1916 10.49% 9.192 9.1916 18.88 0.000 
  Dye concentration*Hydrogen peroxide 2.4593 2.81% 2.459 2.4593 5.05 0.036 
  Catalyst*Hydrogen peroxide 2.0677 2.36% 2.068 2.0677 4.25 0.053 
 Error 20 9.7352 11.11% 9.735 0.4868   
  Lack of fit 3.3127 3.78% 3.313 1.1042 2.92 0.064 
  Pure error 17 6.4225 7.33% 6.422 0.3778   
Total 29 87.6527 100.00%     

The results of the applied combinations of the Box–Behnken experimental design are presented. The removal efficiency was analyzed for three dye concentrations (50, 75, and 100 mg/L) under different conditions to determine the optimum parameters as shown in Figure 7. The reaction time necessary to remove more than 90% for the lowest concentration was around 60 min, while for the highest concentration of indigo carmine (100 mg/L), it was 90 min. When the concentration of the dye is high, dye molecules on the surface of the catalyst are increased, reducing its capacity to generate OH radicals, and thus the removal efficiency decreases. Also, IC degradation by-products compete with the dye molecule by interacting with OH radicals, which could be a reason for the decreased removal efficiency (Hassani et al. 2018).
Figure 7

Effect of dye concentrations of 50, 75, and 100 mg/L. Operating conditions: volume 10 mL, pH 3.0 (Table 1).

Figure 7

Effect of dye concentrations of 50, 75, and 100 mg/L. Operating conditions: volume 10 mL, pH 3.0 (Table 1).

Close modal

The results, in accordance with the design of the experiments, determine that the highest removal efficiencies (95%) for indigo carmine dye occur at pH = 3, H2O2 concentration 8.8 mM/L, contact time = 120 min, initial concentration = 69 mg/L, and with 0.5 g/L FeO/ZnO + SCG.

Several Fenton investigations have shown that acidic pH levels, close to 3, are normally optimal for Fe oxidations. At low pH levels and in the presence of organic substrates, hydroxyl radicals can abstract a hydrogen atom, initiating the oxidation of Fe. One of the advantages of the Fenton reaction with a solid catalyst is that it reduces sludge generation despite the reaction's reliance on acidic conditions (Gökçe Didar Değermenci 2018; Anil et al. 2022; Wakrim et al. 2022).

UV–Vis spectrophotometry analysis of experiment design

Figure 8(a) shows the UV–Vis absorbance spectrum of the dye at the beginning and at the end of the treatment, showing the oxidation of the molecule by observing the changes in the maximum absorption waves. In the initial spectrum, a maximum absorbance is observed at λ 610 and at 290 nm, related to the cross-conjugated system or chromophore of C = C and C = O in indigo carmine molecules. This is in addition to λ 252 nm, which corresponds to the absorption of the benzene ring (Lei et al. 2021; Abou Seada et al. 2022). After the Fenton-like process, the complete elimination of the maximum at 610 nm and the appearance of other signs are observed, specifically a wave at λ 305 nm due to the benzene and carboxylic groups produced by the destruction of the indigoid group and a prominent wave at λ 244 associated with isatin sulfonic acid, which is the main byproduct of IC oxidation (Ray et al. 2020). This result indicates that IC is degraded into intermediate compounds.
Figure 8

Study of decolorization with UV–Vis at the beginning and end of the Fenton-like process (a), removal efficiency using H2O2 (●), FeO/ZnO + SCG (▪), and FeO/ZnO + SCG + H2O2 (▴) (b).

Figure 8

Study of decolorization with UV–Vis at the beginning and end of the Fenton-like process (a), removal efficiency using H2O2 (●), FeO/ZnO + SCG (▪), and FeO/ZnO + SCG + H2O2 (▴) (b).

Close modal

Batch experiments were conducted to compare the removal efficiencies of indigo carmine through various processes. As shown in Figure 8(b), the FeO/ZnO + SCG composite exhibited relatively low catalytic activity, with only 6.48 ± 1.49% decolorization after 120 min; this suggests that the capacity of the catalyst alone is not significant. The degradation efficiency was approximately 26.60 ± 2.4% for only H2O2, due to the access of H2O2 molecules to the active sites, resulting in the generation of OH radicals (Sun et al. 2019). The best decolorization yield (95%) was achieved using FeO/ZnO + SCG composites reacting with H2O2 for 120 min to form active hydroxyl radicals in the aqueous medium.

Even though the Fenton reaction was initially formulated for Fe(II) and H2O2, many redox-active metals such as Zn also display Fenton-like reactions (Dawood & Sen 2014; Fdez-Sanroman et al. 2021). The reactions involved in Fenton generate reactive oxygen species derived from the reactions between ferrous ions and hydrogen peroxide (Equations (2) and (3)) (Nagajyothi et al. 2020; Thomas et al. 2020). The generation of Fe2+ on hematite crystal is the key step for the production of active OH radicals (Chan et al. 2015).
(2)
(3)
Zinc has oxygen-transferring properties for catalytic power and generates highly reactive OH through the Fenton reaction. ZnO NPs have been investigated for applications in the photocatalytic degradation of organic pollutants in wastewater (Yang et al. 2022). The Fenton reaction OH is the most powerful oxidant for the oxidative stress in AD. OH is mainly involved in three types of reactions, those being hydrogen abstraction (Equation (4)), addition reaction (Equation (5)) and oxidation reaction equation (Equation (6)) (Das et al. 2014).
(4)
(5)
(6)
when ZnO is photo-induced by solar light with photonic energy (hv) equal to or greater than the excitation energy (Eg), e from the filled valence band (VB) are promoted to an empty conduction band (CB). This process produces electron–hole (e/h+) pairs (Equation (7)), which can migrate to the ZnO surface and be involved in redox reactions as shown in (Equations (8)–(10)), wherein the H+ reacts with water and hydroxide ions to produce hydroxyl radicals, while the e-reacts with oxygen to produce superoxide radical anions, then hydrogen peroxide (Equations (11) and (12)). Hydrogen peroxide will then react with superoxide radicals to form hydroxyl radicals (Equations (13)–(15)). The hydroxyl radicals are a powerful oxidant that is produced via the Fenton reaction, favoring the attack on pollutants adsorbed on the surface of ZnO to rapidly produce intermediate compounds. Intermediates will eventually be converted into green compounds, such as CO2, H2O and mineral acids, as shown in Equations (16) and (17) (Boon et al. 2018).
(7)
(8)
(9)
(10)
(11)
(12)
(13)
(14)
(15)
(16)
(17)
ZnO is a material with high excitation binding energy, but also a wide band gap; it is necessary to irradiate, as the photogenerated electrons from the conduction band (CB) are transferred to the valence band (VB). This results in recombination of the charge carriers to form H2O molecules, which produces OH in the valence band that degrades organic compounds. The H2O2 was rapidly reduced to OH for the degradation of the contaminants (Ojha et al. 2016).

Zero point charge

The PZC corresponds to the point where the final pH vs. initial pH curve intersects the diagonal. The point zero charge of the FeO/ZnO + SCG composite was 6.35 (Figure 9). Below this pH, the ZnO NPs acquire a positive charge owing to the protonation of functional groups, and above this pH, the surface of the ZnO NPs has a negative charge (Farrokhi et al. 2014; Yashni et al. 2021). Thus, the composites were positively charged, and adsorption of anionic indigo carmine occurred easily. That is to say, there is electrostatic attraction between the negatively charged indigo carmine functional group and the positively charged amine groups on the surface of the composite.
Figure 9

Point-of-zero charge of FeO/ZnO + SCG.

Figure 9

Point-of-zero charge of FeO/ZnO + SCG.

Close modal

Fenton-like process in textile wastewater

Once the best treatment conditions were obtained with the standard solutions for IC, they were applied to a sample from the washing process. The maximum absorbance found was at λ max 671 nm, as shown in Figure 10(a), prior to the initiation of decolorization reactions in the solution. These results indicate that the OH radical, produced from Fenton reagent, first attacks its C = C double bond, leading to the formation of two molecules of isatin 5-sulfonic acid. Further degradation of isatin 5-sulfonic acid occurs with the release of , and isatin leads to a mixture of oxalic and oxamic acids. The absorption band at 300 nm corresponding to π bonds implies only partial degradation of the molecule (Ammar et al. 2006; Ortiz et al. 2016; Chowdhury et al. 2020).
Figure 10

Variations of UV–vis absorption spectra for IC during the Fenton process (a) and COD removal over time in wastewater treatment (b) (H2O2 = 8.8 mM/L, FeO/ZnO + SCG = 0.5 g/L, pH = 3.0, t = 120 min).

Figure 10

Variations of UV–vis absorption spectra for IC during the Fenton process (a) and COD removal over time in wastewater treatment (b) (H2O2 = 8.8 mM/L, FeO/ZnO + SCG = 0.5 g/L, pH = 3.0, t = 120 min).

Close modal

As illustrated in Figure 10(b), the COD measurement showed that the COD value decreased from 724.5 to 321 mg/L. The remaining COD value in the solution could be due to the presence of intermediates, simpler compounds due to the breakdown of dye, and especially the complex composition of wastewater containing a concentration of recalcitrant organics, metals content and non-soluble substances (Flores et al. 2022).

The highest decolorization percentage (approximately 50%) occurs within the first 40 min. As the time increases to 120 min, 88% is achieved, as shown in Figure 9(a).

The Fe–Zn metal ions tend to increase reactive sites, photon adsorption, and the production of hydroxyl radicals. It also had another specific role, as FeO could activate Fenton-like photochemistry, while Zn could delay the electron–hole pair recombination rate, resulting in greater efficiency in the degradation of organic compounds (Talreja et al. 2021).

The decolorization and reduction of the chemical oxygen demand decrease when the heterogeneous Fenton-like catalyst is applied, based on the formation of highly reactive hydroxyl radicals (OH) by decomposition of H2O2 with Fe2+ ions, as shown in Equations (18)–(24).
(18)
(19)
(20)
(21)
(22)
(23)
(24)
where S represents the porous solid matrix (SCGs). The ferrous ions initiate the reaction and lead to the generation of hydroxyl radicals. Subsequently, these hydroxyl radicals attack the organic pollutants, causing their degradation (Oruç et al. 2019).

Table 3 includes the relevant literature on different composites with metallic NPs that have been applied as catalysts in Fenton-like processes for the removal of dyes. The cases applied in the Fenton process to decolorization dyes show the influence of calcination for obtaining zinc NPs, which is different from the process of this work, reducing time and energy. It has been experimented with mainly in synthetic solutions, in addition to the fact that the dye concentrations are lower than reported in this work.

Table 3

Comparison with previous works

Preparation method-calcinationDye concentrationCompositeDecolorization (%)/timeAuthor
Reduction oxidation method 15 mg/L
Textil effluent 
Feo-natural zeolite 94.86%of acid orange 52/180 min Rashid et al. (2020)  
Green synthesis 49.6 mg/L
Synthetic solution 
Feo-Bentonite- 96.2% of RB 238 dye/180 min Hassan et al. (2020)  
Green synthesis 5.0 × 10−5 mol /L
Synthetic solution 
Fe II-Fe III-SiO2 100% of Methyl orange/180 min Carvalho & Carvalho (2017)  
Heat treatment 49.6 mg/L
Synthetic solution 
Feo-polyethylene Photo–Fenton/100% Ponceau 4R/15 min Mossmann et al. (2019)  
Green synthesis (105 °C for 12 h) 100 mg/L
Synthetic solution 
Fe–Zn-activated carbon 96% of Reactive Red 2/120 min Oruç et al. (2019)  
Hydrothermal method 25 mg/L
Synthetic solution 
Zinc ferrite nanosphere 75.5% of Congo red/3 h Li et al. (2018)  
Reduction oxidation method 100 mg/L
Synthetic solution 
Zn-Fe2O4 nanoparticles 94.9% of Orange II/60 min Cai et al. (2016)  
Green synthesis (600 °C for 2 h.) 20 mg/L
Synthetic solution 
MnFe2O4 nanoparticle 100% of methylene blue/120 min Chaudhari et al. (2022)  
Green synthesis 100 mg/L
Textil effluent 
FeO–ZnO–spend coffe grounds 88% of indigo carmine/120min This work 
Preparation method-calcinationDye concentrationCompositeDecolorization (%)/timeAuthor
Reduction oxidation method 15 mg/L
Textil effluent 
Feo-natural zeolite 94.86%of acid orange 52/180 min Rashid et al. (2020)  
Green synthesis 49.6 mg/L
Synthetic solution 
Feo-Bentonite- 96.2% of RB 238 dye/180 min Hassan et al. (2020)  
Green synthesis 5.0 × 10−5 mol /L
Synthetic solution 
Fe II-Fe III-SiO2 100% of Methyl orange/180 min Carvalho & Carvalho (2017)  
Heat treatment 49.6 mg/L
Synthetic solution 
Feo-polyethylene Photo–Fenton/100% Ponceau 4R/15 min Mossmann et al. (2019)  
Green synthesis (105 °C for 12 h) 100 mg/L
Synthetic solution 
Fe–Zn-activated carbon 96% of Reactive Red 2/120 min Oruç et al. (2019)  
Hydrothermal method 25 mg/L
Synthetic solution 
Zinc ferrite nanosphere 75.5% of Congo red/3 h Li et al. (2018)  
Reduction oxidation method 100 mg/L
Synthetic solution 
Zn-Fe2O4 nanoparticles 94.9% of Orange II/60 min Cai et al. (2016)  
Green synthesis (600 °C for 2 h.) 20 mg/L
Synthetic solution 
MnFe2O4 nanoparticle 100% of methylene blue/120 min Chaudhari et al. (2022)  
Green synthesis 100 mg/L
Textil effluent 
FeO–ZnO–spend coffe grounds 88% of indigo carmine/120min This work 

The efficiency obtained by this work in the Fenton-like experiments is above that reported and compared to the concentrations used by the authors.

The SCGs-supported FeO/ZnO catalyst proposed in this study has been successfully prepared using plant leaf for the first time (C. aequipetala Cav). This method is environmentally safer than conventional chemical methods, which is important in terms of process economy for the removal of pollutants from wastewater by heterogeneous Fenton-like processes. XRD, TEM, SEM, FTIR, and EDS validated the synthesis, indicating the obtention of ZnO with a wurtzite structure and a hematite structure (Fe2O3). The combination of FeO/ZnO + SCG and hydrogen peroxide (H2O2) in the treatment generated hydroxyl radicals capable of degrading organic matter. The best activity for degradation of indigo carmine was at pH 3, 0.8 g/L of catalyst dosage, and 8.8 mM/L of H2O2 for 120 min. This allowed the nanocomposite to be applied in the treatment of residual water from textile dyeing, reducing COD, and color intensity. Thus, nanocomposite is a promising catalyst for the removal of organic dye in the practical application of wastewater treatment.

The authors gratefully acknowledge Consejo Mexiquense de Ciencia y Tecnología (COMECYT) for the financial support for the research stay EESP2021-0040, and the Centro Conjunto en Química Sustentable UAEMex-UNAM for the infrastructure provided.

All relevant data are included in the paper or its Supplementary Information.

The authors declare there is no conflict.

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