1. Introduction
Various chemical dyes are widely used in industries, such as textile, rubber, paper, plastic, and cosmetic that produce a large volume of wastewaters. These wastewaters are rich in colour and contain harmful chemicals some of which are toxic, mutagenic, and carcinogenic (Sun et al., 2013; Kelm et al., 2019). Every year, a large number of dyes are produced in Iran's textile industries which may contaminate the water resources and can be consumed by the livestock.
Among various physical, chemical, and biological decolorization techniques, treatment with activated carbon is an effective and attractive physical process due to its high efficiency (Kelm et al., 2019). However, the use of activated carbon is restricted due to the high costs of its production. Therefore, there is an increasing interest in finding renewable and effective alternative low-cost adsorbents for the decolorization of wastewaters.
Biochar is a pyrolytic product of organic waste, typically trees, forages, straws, and agricultural waste, under the partial or complete absence of oxygen (Sun et al., 2013) which can absorb water pollutants, such as dye (Sumalinog et al., 2018) from the soil. More recently, biochar has been applied in ruminant feed (Schmidt et al., 2017) because of its ability in reducing enteric methane emissions (Leng et al., 2012) improving animal health and feed efficiency (Schmidt et al., 2017).
Persian melon (Cucumis melo CV. Khatooni) is one of the most important agricultural products in Iran with an annual production of about 1.47 million tons (IAAS, 2015). Bentonite containing aluminosilicate compounds is also another suitable source of adsorbent material for the adsorption of chemical dyes from aqueous solutions (Liu et al., 2015). It should be noted that about 2.5% of the world's bentonite is produced in Iran. Due to the lack of sufficient information about the impacts of MB on ruminal fermentation and the probable consumption of contaminated waters by livestock, it is hypothesized that bentonite and biochar produced from melon peel may reduce the possible adverse effect of MB on ruminal fermentation in vitro. This study aimed to evaluate the adsorption potential for removing MB from an aqueous solution using bentonite and melon peel biochar; moreover, it was attempted to investigate their effects on in vitro ruminal fermentation.
2. Material and Methods
2.1. Preparation of Dye and Adsorbents
The Persian melon fruits (Cucumis melo CV. Khatooni) were collected randomly from the farms of Torbat-e Jam, Iran, located at 35°23́Ń latitude, 60°64É longitude. The peels were separated and washed to remove dust, chopped into smaller pieces, and then transferred to an oven at 60°C for 48 h. After drying, the slices of melon peel were ground, passed through mesh No. 400, and placed in the chamber. Subsequently, the pyrolysis was carried out in a homemade electric heated pyrolysis reactor at about 550°C for 3 h. Before the pyrolysis, the reactor was purged with nitrogen gas at 10 psi for 15 min to ensure the absence of oxygen during the reaction (Sumalinog et al., 2018).
Bentonite, a combination of montmorillonites with the commercial name of bentofeed, was purchased from the Vivan group (Mashhad, Iran), ground, and passed through mesh No. 200. Furthermore, Bentofeed was washed with distilled water several times, filtered, and then dried in an oven at 60°C for 48 h.
2.2. Dye Decolorization
In total, four levels of MB (0, 3, 6, and 9 mg/L) with three levels of PMPB and bentofeed as sorbents (each at 0, 4, and 8 mg) were used in two separate 4×3 factorial experiments to measure the removal ability of dye from water. Afterward, 10 ml of MB (prepared from stock solution) with PMPB or bentofeed were added to the special tubes and incubated in a water bath at 39°C for 3 or 24 h. For each treatment, five replications were considered. At the end of the incubation time, the tubes were centrifuged at 3500×g for 15 min, and the absorbance was read using a spectrophotometer (Photonix-Ar-2017) at 660 nm. The removal percentage of MB (R) was calculated according to the following equation:
R %= [C0-Ce/C0] ×100
where C0 and Ce are the initial and final concentrations of the MB (after adsorption), respectively.
2.3. In vitro Gas Production
In vitro gas production was measured according to Menke and Steingass (1988).The rumen fluid was collected from three male Moghani sheep fed on a ration containing alfalfa and concentrate (60:40). This fluid was then strained through four layers of cheesecloth and flushed with CO2. About 200 mg of 1 mm milled alfalfa (dry matter basis) were transferred into 100 ml calibrated glass syringes. In the next stage, three levels of bentofeed or PMPB (0, 4, and 8 mg, equivalent to 0, 2, and 4% of substrate DM) were added to the syringes. Afterward, four concentrations of MB (0, 3, 6, and 9 mg/L) prepared in 30 ml of rumen-buffer mixture (1:2, v/v) were added to the pre-warmed (39°C) syringes containing the sample. All syringes were put in a water bath maintained at 39°C. The incubation was carried out in four replicates within each run, and each run was replicated. Gas production volume was recorded at 3, 6, 9, 12, 24, 48, 72, and 96 h. After 24 h of incubation, the contents of two syringes from each treatment were filtered through four layers of cheesecloth. After that, 5 ml of 0.2N HCl was equally combined with 5 ml of filtered rumen fluid for the determination of NH3-N. Another subsample of 5 ml of filtered rumen fluid was mixed with 1 ml of 25% meta-phosphoric acid and then preserved at -20°C for VFA analysis.
The kinetic of gas production parameters were estimated according to the model of Ørskov and McDonald (1977) as:
P=b (1-e-ct)
where P is the volume of gas production at time t, b signifies the gas production from an insoluble but fermentable fraction (ml/200 mg DM), c denotes the rate constant of gas production for b (%/h), and t presents the incubation time (h). Organic matter digestibility (OMD) and metabolizable energy (ME) were estimated based on Menke and Steingass (1988) equations for roughage feeds as follows:
ME (MJ/kg DM)=2.20+0.1357 GP+0.057 XP+0.0029 XL2;
OMD (%)=15.38+0.8453 GP+0.595 XP+0.675 XA
where GP, XP, XL, and XA are the gas productions at 24-h incubation for 200 mg DM of the sample, crude protein (g/kg DM), crude fat (g/kg DM), and crude ash (g/kg DM), respectively.
2.4. Laboratory Analysis
After thawing, rumen fluid was centrifuged (Eppendorf AG, Hamburg, Germany) at 3000×g for 20 min at 4°C, and the VFAs concentrations were then determined by gas chromatography (Philips PU-4410) equipped with a flame ionization detector and a semi-capillary TR-FFAP (30 m×0.53 mm×1 m) column (Supelco, USA). The temperature of 140°C was considered for the column, and 250°C was considered both in the injector and detector. The flux of helium as carrier gas was 13 mL/min.
2.5. Statistical Analysis
A 4×3 factorial experiment (the first factor was four levels of MB, and the second factor was three levels of adsorbent) was applied for data analysis using PROC GLM of SAS software (Version 9.1, SAS Institute). The statistical model was:
Yijk=μ+Ai+Bj+ABij+εijk
where Yijk is the dependent variable, μ signifies the overall mean, Ai denotes the effect of MB levels, Bj presents the effect of adsorbent levels (bentofeed or PMPB), ABij indicates the interaction between MB levels and adsorbent levels, and εijk is the residual error. It is worth mentioning that the differences between treatment means were determined by Duncan's multiple range test at P<0.05.
3. Results
The removal efficiency of MB in water by bentofeed and PMPB at 3- and 24-h of incubation is shown in Figure 1 and Figure 2, respectively. Bentofeed and PMPB were able to remove MB at three concentrations (3, 6, and 9 mg/L) with high efficiency ranged from 60% to 99.5%. In the concentration of 3 mg/L, more than 91% of MB was removed by the inclusion of bentofeed and PMPB. The removal efficiency of both adsorbents was declined by increasing the concentration of MB at both incubation times. The maximum efficiency of MB removal was observed when 8 mg bentofeed was added to the medium containing 6 or 9 mg/L MB. The lowest removal efficiency was observed in 4 mg PMPB when it was dosed at 6 and 9 mg/L (P<0.05).
The effect of MB with or without bentofeed on gas production and estimated parameters are presented in Table 1. The estimated parameters including b, c, OMD, and ME were significantly decreased when MB increased in the medium up to 6 mg/L (P<0.05). The b, ME, and OMD were increased by the addition of bentofeed in all concentrations of MB (P<0.05).
Treatment | b | c | ME | OMD |
---|---|---|---|---|
Control | 72.02a | 0.055b | 9.29a | 70.43a |
Control+4 mg bentofeed | 68.09a | 0.064a | 9.26a | 70.23a |
Control+8 mg bentofeed | 68.56a | 0.054b | 8.92a | 68.50a |
3ppm MB | 23.90c | 0.026cd | 3.98cde | 43.06cde |
3ppm MB+4 mg bentofeed | 28.17bc | 0.027cd | 4.24bc | 44.36bc |
3ppm MB+8 mg bentofeed | 30.80b | 0.032c | 4.61b | 46.26b |
6ppm MB | 18.67d | 0.027cd | 3.67de | 41.42de |
6ppm MB+4 mg bentofeed | 24.96c | 0.022d | 3.86cde | 42.42cde |
6ppm MB+8 mg bentofeed | 28.05bc | 0.024d | 4.11bcd | 43.70bcd |
9ppm MB | 18.60d | 0.020d | 3.50e | 40.54e |
9ppm MB+4 mg bentofeed | 25.69c | 0.023d | 3.91cde | 42.67cde |
9ppm MB+8 mg bentofeed | 27.98bc | 0.024d | 4.17bcd | 44.02bcd |
SEM | 1.53 | 0.002 | 0.17 | 0.88 |
P-value | ||||
MB levels | <0.0001 | <0.0001 | <0.0001 | <0.0001 |
bentofeed levels | <0.0001 | 0.53 | 0.024 | 0.024 |
MB × bentofeed levels | 0.001 | 0.03 | 0.07 | 0.07 |
a,b,c,d,e Values containing different letters in each column are significantly different (P<0.05). | ||||
b=the potential gas production (mL/200 mg DM); c=rate constant of gas production (%/h); ME=Metabolizable energy (MJ/kg DM); OMD=Organic matter digestibility (%); and MB=Methylene blue |
Table 2 shows the effect of MB with or without PMPB on gas production and estimated parameters. The value of b was decreased by the inclusion of 8 mg PMPB, compared to the control group (P<0.05). Neither 4 mg nor 8 mg PMPB had any effect on c, ME, and OMD, compared to the control group (P>0.05). The values of b, ME, and OMD were increased when 8 mg PMPB was added to the medium containing MB (P<0.05).
Treatment | b | c | ME | OMD |
---|---|---|---|---|
Control | 72.10a | 0.055a | 9.34a | 70.66a |
Control+4 mg PMPb | 68.55ab | 0.055a | 9.01a | 68.96a |
Control+8 mg PMPb | 64.09b | 0.053a | 9.04a | 69.14a |
3ppm MB | 23.96ef | 0.027b | 3.96ef | 42.95ef |
3ppm MB+4 mg PMPb | 31.88cd | 0.052a | 5.35c | 50.08c |
3ppm MB+8 mg PMPb | 34.79c | 0.055a | 5.93b | 53.06b |
6ppm MB | 17.99f | 0.026b | 3.61fg | 41.13fg |
6ppm MB+4 mg PMPb | 27.89ed | 0.027b | 4.24de | 44.38de |
6ppm MB+8 mg PMPb | 34.63c | 0.031b | 5.09c | 48.75c |
9ppm MB | 18.55f | 0.021b | 3.47g | 40.42g |
9ppm MB+4 mg PMPb | 24.67e | 0.020b | 3.68fg | 41.50fg |
9ppm MB+8 mg PMPb | 34.98c | 0.023b | 4.47d | 45.56d |
SEM | 1.92 | 0.004 | 0.16 | 0.81 |
P-value | ||||
MB levels | <0.0001 | <0.0001 | <0.0001 | <0.0001 |
PMPB levels | <0.0001 | 0.01 | <0.0001 | <0.0001 |
MB × PMPB levels | <0.0001 | 0.006 | 0.06 | 0.06 |
a,b,c,d,e,f,g Values containing different letters in each column are significantly different (P<0.05). | ||||
b=the potential gas production (mL/200 mg DM); c=rate constant of gas production (%/h); ME=Metabolizable energy (MJ/kg DM); OMD=Organic matter digestibility (%); MB=Methylene blue; PMPB=Persian melon peel biochar |
The inclusion of 8 mg bentofeed decreased NH3-N and TVFA, compared to the control group (P<0.05) (Table 3). By increasing the levels of MB up to 6 mg/L, TVFA and molar proportion of acetic acid were decreased; however, the propionic acid was increased (P<0.05). Nonetheless, butyric acid was not affected by treatments (P>0.05). The lowest concentration of NH3-N was observed in 9 mg/L MB (P<0.05), and the inclusion of bentofeed significantly increased TVFA and NH3-N concentration in MB containing treatments (P<0.05).
Treatment | TVFA | Acetic acid | Propionic acid | Butyric acid | NH3-N |
---|---|---|---|---|---|
Control | 41.87a | 70.75abc | 17.38abcd | 7.75 | 16.42a |
Control+4 mg bentofeed | 40.77a | 70.87ab | 17.25bcd | 7.70 | 15.25b |
Control+8 mg bentofeed | 39.00b | 71.62a | 16.47d | 7.78 | 14.87bc |
3ppm MB | 34.17c | 69.17bcd | 18.66abc | 7.97 | 13.37e |
3ppm MB+4 mg bentofeed | 37.70b | 70.50abcd | 17.75abcd | 7.62 | 14.75bc |
3ppm MB+8 mg bentofeed | 39.05b | 71.02ab | 16.97cd | 7.89 | 15.42b |
6ppm MB | 27.25e | 68.85cd | 19.22a | 7.78 | 12.20f |
6ppm MB+4 mg bentofeed | 33.20cd | 69.37bcd | 18.85abc | 7.64 | 13.62de |
6ppm MB+8 mg bentofeed | 34.37c | 70.12abcd | 18.11abcd | 7.59 | 14.52bcd |
9ppm MB | 27.70e | 68.75d | 19.32a | 7.77 | 10.59g |
9ppm MB+4 mg bentofeed | 31.62d | 69.12bcd | 19.05ab | 7.66 | 13.15e |
9ppm MB+8 mg bentofeed | 32.50d | 69.87abcd | 18.30abcd | 7.64 | 13.95cde |
SEM | 0.55 | 0.59 | 0.59 | 0.14 | 0.32 |
P-value | |||||
MB levels | <0.0001 | 0.002 | 0.0013 | 0.49 | <0.0001 |
bentofeed levels | <0.0001 | 0.014 | 0.02 | 0.28 | <0.0001 |
MB × bentofeed levels | <0.0001 | 0.97 | 0.99 | 0.88 | <0.0001 |
a,b,c,d,e,f,g Values containing different letters in each column are significantly different (P<0.05). | |||||
TVFA: Total volatile fatty acids; MB=Methylene blue |
As shown in Table 4, the molar proportion of acetic, propionic, and butyric acids were not affected by PMPB (P>0.05); however, TVFA and NH3-N contents were decreased, compared to the control group. The addition of PMPB to the medium containing MB significantly increased TVFA and NH3-N concentration (P<0.05).
Treatment | TVFA | Acetic acid | Propionic acid | Butyric acid | Other | NH3-N |
---|---|---|---|---|---|---|
Control | 41.87a | 70.75 | 17.38 | 7.75 | 4.12 | 16.42a |
Control+4 mg PMPb | 39.50b | 69.87 | 18.00 | 8.05 | 4.08 | 14.85bc |
Control+8 mg PMPb | 37.00c | 70.66 | 17.20 | 8.03 | 4.11 | 13.97cd |
3ppm MB | 34.17d | 69.17 | 18.65 | 8.09 | 4.09 | 13.37de |
3ppm MB+4 mg PMPb | 36.12c | 70.38 | 17.72 | 7.72 | 4.18 | 14.07bcd |
3ppm MB+8 mg PMPb | 37.25c | 70.12 | 17.95 | 7.77 | 4.16 | 14.97b |
6ppm MB | 27.25f | 68.85 | 19.22 | 7.72 | 4.21 | 12.20f |
6ppm MB+4 mg PMPb | 33.82d | 69.12 | 19.05 | 7.70 | 4.13 | 13.75de |
6ppm MB+8 mg PMPb | 34.62d | 69.95 | 18.40 | 7.54 | 4.11 | 14.30bcd |
9ppm MB | 27.70f | 68.75 | 19.32 | 7.83 | 4.1 | 10.59g |
9ppm MB+4 mg PMPb | 32.32e | 69.87 | 18.29 | 7.67 | 4.17 | 12.92ef |
9ppm MB+8 mg PMPb | 33.62de | 69.62 | 18.60 | 7.66 | 4.12 | 13.54de |
SEM | 0.47 | 0.71 | 0.66 | 0.17 | 0.08 | 0.30 |
P-value | ||||||
MB levels | <0.0001 | 0.22 | 0.06 | 0.19 | 0.96 | <0.0001 |
PMPB levels | <0.0001 | 0.37 | 0.64 | 0.67 | 0.96 | <0.0001 |
MB levels × PMPB levels | <0.0001 | 0.78 | 0.88 | 0.57 | 0.92 | <0.0001 |
a,b,c,d,e,f,g Values containing different letters in each column are significantly different (P<0.05). TVFA: Total volatile fatty acids; MB=Methylene blue; PMPB=Persian melon peel biochar |
4. Discussion
It has been reported that the biochar produced from palm bark, eucalyptus (Sun et al., 2013), and wood wastes (Kelm et al., 2019) can be considered a low-cost adsorbent to remove chemical dyes from aqueous solutions. As expected, higher removal of MB was observed in the increased dose (8 mg) of bentofeed and PMPB at 3 or 24 h of incubation. Similarly, an increase in MB removal (31.7% at 0.05 g/100 mL to 99.81% at 0.55 g/100 mL) was found when the lemongrass ash was increased in an aqueous solution (Singh, 2014). The higher efficiency for the removal at high doses may be attributed to the greater availability of active sites for a similar number of adsorbing molecules (Sharma et al., 2008). The adsorptive ability of chemical dye by adsorbents depends on four consecutive steps (Noroozi and Sorial, 2013).
The first step includes the diffusion or convection of dye molecules via the bulk of the solution. In the second step, the dye molecules will be filtered through a diffusional boundary layer. Furthermore, dye molecules diffuse from the surface of adsorbent materials into the interior sections, and finally, the dye molecules will reach the surface of the adsorbent via molecular interactions.
Some parameters, such as pH, initial dye concentration, adsorbent concentration, and temperature of the solution can be effective in the adsorption of dye molecules (Wee and Lim, 2016). It has been reported that 24 h is the optimum time to reaching the equilibrium point for MB dye with higher initial concentrations (400-500 mg l-1) (Hameed et al., 2007). In the current experiment, two incubation times (3 and 24 h) were tested to evaluate whether or not time could affect dye removal percentage. According to Figures 1 and Figure 2, it seems that the dye removal efficiency for PMPB during 24 h of incubation is higher than 3 h. Despite the fact that the addition of bentofeed and PMPB effectively removed MB from water, the dye removal efficiency was decreased with increasing dye concentration. In this study, the efficiency of bentofeed was higher in removing MB at 9 mg/L, compared to PMPB, which can be due to the limited capacity of biochar in the removal of cationic dye because of the presence of positively charged binding sites (Fosso-Kankeu et al., 2016).
To the best of our knowledge, no research has been carried out to evaluate the effect of MB on in vitro ruminal fermentation so far. In the present study, the deleterious effects of MB on gas production and the estimated parameters were evident. Most chemical dyes have an aromatic complex structure that cannot be decomposed easily when releasing into the environment. In the present study, it seems that ruminal microorganisms were not able to degrade and neutralize the negative effects of MB. The bactericidal effects of chemical dyes in laboratory mediums have been previously reviewed by Hazrat (2010). Bentonite is one of the clay minerals which is used to increase the ruminant function due to its buffering capacity and ion exchange capacity ( Lee et al., 2010; Kazemi et al., 2017). Lee et al. (2010) stated that the dietary addition of bentonite significantly reduced the amount of manure gas emission (SO2, NH3, and H2S) of beef calves, compared to the control treatment. The addition of SB to Optigen (polymer-coated urea) had no beneficial effects on nutrient digestibility, nitrogen retention, microbial nitrogen, and rumen fermentation (Chegeni et al., 2013). In return, the use of sodium bentonite in the diet of Baluchi sheep increased thedigestibility of DM and OM, compared to the control group (Kazemi et al., 2017). Decolorization of some chemical dyes has been studied using some strains of bacteria, such as Aeromonas hydrophila, Pseudomonas luteola, Escherichia coli, and Pseudomonas mendocina (Hazrat, 2010).
The rumen, as an essential fermentation chamber, produces end products (e.g., VFAs, NH3-N, and microbial protein) to resolve the energy and protein requirements of the host animal (Rindsig et al., 1969). Therefore, any changes in living conditions of microbial communities can alter the fermentation pattern or gas produced in the medium. Bentonite can modify the rumen fermentation pattern by reducing the propionate relative to acetate (Rindsig et al., 1969). In this study, the propionate and acetate levels were decreased and increased with increasing levels of bentofeed in the medium, respectively, which was consistent with the results of a previously conducted study.
Similar to our results, Cabeza et al. (2018) found a reduction in gas production by adding biochar prepared from different biomass sources at 1.16% of substrate DM. This depressing effect may be attributed to the sorption capacity of biochar because of its high porosity structure (Hansen et al., 2012). However, most of the previous studies have shown that the addition of biochar did not affect total gas production (Leng et al., 2012; Calvelo Pereira et al., 2014). In addition to other factors, such as dosage and post-treatment of biochar, different biomass sources and temperature can affect in vitro responses to biochar (Calvelo Pereira et al., 2014). Kumar et al. (1987) reported that increasing pH, and therefore, providing favourable habitat for cellulolytic bacteria following the inclusion of charcoal to anaerobic batch fermenters stimulated their growth and activity. Since ammonia, as the only N source, is essential for the growth and activity of cellulolytic bacteria (Atasoglu et al., 2001), partial reduction in NH3-N concentration in our study might be due to an increase in rate and/or extent of microbial growth.
In vitro response to the addition of biochar is still controversial. The inclusion of different sources of biochar with different doses had no effect on total VFA production (Cabeza et al., 2018). However, Calvelo Pereira et al. (2014) reported that total VFA production was increased as the concentration of biochar in the silage increased from 8.11% to 18.6% of DM; however, total VFA and molar proportion of individual VFA did not change when biochar was mixed with hay at 16% of diet DM.
In conclusion, PMPB and bentofeed can be used to reduce the high amounts of MB from contaminated water, and also can partially reduce the deleterious effects of MB on the medium. The biochar produced from melon peel appears to be a promising adsorbent to remove MB, not only for the high efficiency in removing the dye but also due to the advantages from the environmental point of view.
Authors' Contribution
Study concept and design: M. K.
Acquisition of data: M. K.
Analysis and interpretation of data: M. K. and A. M.
Drafting of the manuscript: M. K. and A. M.
Critical revision of the manuscript for important intellectual content: M. K. and A. M.
Statistical analysis: M. K.
Administrative, technical, and material support: M. K.
Ethics
The authors declare that all ethical standards have been respected in the preparation of the submitted article.
Conflict of Interest
The authors declare that they have no conflict of interest.
Grant Support
This study was supported by grant TP13961 from University of Torbat-e Jam.
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