Hydrogel synthesis method
Table 2 presents the full factorial design (23 with duplicates) levels and responses for the hydrogel syntheses. The effects of each factor and their interactions were evaluated using Pareto charts and graph of marginal means for the maximum swelling degree (Fig. 1) and the final concentration of water in diesel (Fig. 2). The hydrogel with the highest Wmax value and lower final water concentration in diesel was selected as the best formulation. The analysis of variance (ANOVA) and the predictive equations for the responses are presented in the Supplementary Information (Table S1 and S2 and Equations S1 and S2).
Table 2
Dependent and independent variables of the full factorial design (23 + duplicates) used to evaluate the hydrogel synthesis method.
Factor and levels
|
Responses
|
Type of cellulose
|
Cellulose percentage (%)
|
Initiation system
|
Wmax (g.g− 1)
|
Final water content in diesel (mg.kg− 1)
|
1st run
|
2nd run
|
1st run
|
2nd run
|
HEC
|
4
|
Thermal
|
44.88
|
49.21
|
443.3
|
431.8
|
CNC
|
4
|
Thermal
|
43.42
|
46.48
|
246.1
|
264.9
|
HEC
|
10
|
Thermal
|
52.53
|
68.38
|
430.4
|
372.3
|
CNC
|
10
|
Thermal
|
48.91
|
49.68
|
171.4
|
206.5
|
HEC
|
4
|
Redox
|
124.72
|
132.93
|
266.0
|
244.0
|
CNC
|
4
|
Redox
|
121.08
|
157.75
|
136.1
|
165.1
|
HEC
|
10
|
Redox
|
101.82
|
107.42
|
227.0
|
254.0
|
CNC
|
10
|
Redox
|
129.66
|
145.94
|
158.7
|
170.0
|
Using the Wmax as response, the statistically significant factors were those with p-value greater than 0.05 (Fig. 1-a), evaluated with 95% confidence. The most significant factor was the type of initiation system. As this effect was positive, the response is higher when the initiation system is at level + 1 (Redox initiation). The interaction effect between the cellulose type and initiation system was also significant and positive; thus, when both factors were at level + 1 (CNC and Redox initiation), the produced hydrogel had a higher degree of swelling. Although the interaction between the cellulose type and initiation system is significant, it is close to the baseline p-value of 0.05, and the effect of cellulose type was not statistically significant.
The marginal means plots (Fig. 1-b) aligns with the results from the Pareto chart and confirm that the highest swelling degree was achieved with CNC and redox initiation. This plot also indicates that the initiation system is the most significant factor, as hydrogels synthesized using redox initiation attained a significantly higher swelling degree regardless of the type or amount of cellulose used. Additionally, similar results were obtained for the hydrogels grafted onto CNC and HEC, highlighting the reduced impact of this factor for the swelling degree. Using 4% HEC yielded a swelling degree comparable to that of 4% and 10% CNC. However, there was an overlap in the standard deviation ranges for 4% and 10% HEC or CNC, suggesting that the percentage of cellulose did not have a significant effect under the analyzed conditions.
Figure 1: Pareto chart (a) and plots of marginal means (b) indicating the effects of the parameter evaluated in the full factorial design (23 + duplicates) with Wmax (g.g-1) as response.
For diesel final water content response, the lower the values, the more effective the water removal process. According to the Pareto chart (Fig. 2-a), the most significant factors were cellulose type and initiation system, both with negative effects. The interaction between initiation system and the cellulose type was also significant, with a positive effect. This indicates improved outcomes with redox initiation system and CNC. The dependence between these factors can also be observed in the plot of marginal means (Fig. 2-b). Regarding the cellulose loading, the graph of marginal means indicates an overlap in the responses obtained for each level evaluated, confirming the small significance of this factor, as predicted in the Pareto’s chart. Therefore, under the conditions analyzed, the use of a smaller loading of biopolymer is sufficient for the intended objective of removing water from diesel.
Figure 2
Pareto chart (a) and graph of marginal means (b) indicating the effects of the parameters evaluated in the full factorial design (23 + duplicates) with the final water content on diesel (mg.kg− 1) as response.
The use of different initiation systems affected both the swelling degree and the water removal capacity. The redox initiation instantly generates a large number of free radicals. According to Huang et al., (Huang et al. 2017) this leads to a polymerization onto a range of sites in the cellulose chain, resulting in a more tightly entangled hydrogel structure with evenly dispersed crosslinking centers. Meanwhile, the thermal initiation requires the gradual decomposition of KPS into HO3SO• at 70°C, resulting in the formation of larger polymeric chains more widely dispersed onto the cellulose chain (Huang et al. 2017). Therefore, the hydrogel prepared by redox initiation may exhibit a higher crosslinking density compared to those prepared by thermal initiation. Kabiri et al., (Kabiri et al. 2003) explains that for strongly hydrophilic hydrogels, a higher crosslinking density can lead to faster water diffusion. This could explain the increased swelling degree and more efficient water removal from diesel when using hydrogels prepared by redox initiation.
Regarding the type of cellulose, the hydrogels synthesized with CNC swelled more and removed more water from diesel than the HEC hydrogels. These differences may be due to the higher surface area of CNC nanoporous structure, which enables higher absorption of water molecules (Tammelin et al. 2015). In addition, CNC is crystalline and has a higher concentration of exposed hydrophilic groups on its external surface, which may also improve water absorption (Tammelin et al. 2015; Bayramgil 2018; Das et al. 2021; Wong et al. 2021).
The percentage of cellulose used in the hydrogel synthesis had no significant impact on water removal under the conditions examined. However, it is worth noting that the amount of cellulose used can affect the network density and potentially lead to the formation of more compact structures (Arthus et al. 2024). Thus, the lack of significance attributed to this factor largely stems from the levels used in this study and the responses that were evaluated.
Hydrogel characterization
Figure 3 shows the FTIR spectra of the prepared hydrogels. The hydrogels were named according to cellulose type, cellulose percentage, and initiation type (“R” for redox and “T” for thermal). For example, “HEC-4%-R” is the hydrogel produced with 4% HEC using the redox system. The spectra of poly(SA-co-AAm) and pure HEC and CNC were added as references. The peaks in the poly(SA-co-AAm) spectrum are similar to those in spectra of the cellulose-grafted hydrogels, but the peaks in the spectra of pristine HEC and CNC were absent in the spectra of cellulose-grafted hydrogels, indicating interactions between cellulose chains and monomer molecules. The 1,556 cm− 1 and 1,450 cm− 1 bands present in the cellulose-grafted hydrogels correspond to the N-H bond and the σ-bond from the homolysis of π-bonds of the monomers, respectively, confirming that the grafting of acrylamide and sodium acrylate onto the cellulose chains was successful (Dourado et al. 2021). Table 3 identifies the peak and corresponding functional groups in the hydrogels.
Figure 3
FTIR spectra of pure HEC and HEC-grafted hydrogels (a), and pure CNC and CNC-grafted hydrogels (b). “R” corresponds to redox and “T” refers to thermal initiation system.
Table 3
Correspondence between the absorbance peaks obtained in the FTIR spectrum with the functional groups of the hydrogels and cellulose polymers (Foo et al. 2017; Beyaz et al. 2019; Jayaramudu et al. 2019; Li et al. 2019; Boruah et al. 2023).
Wave number (cm− 1)
|
Corresponding
functional group
|
Polymer in which it was identified
|
3,345-3,180
|
O-H, N-H
|
poly(AS-co-AAm) and cellulose-grafted hydrogels
|
3,313-3,367
|
O-H
|
CNC and HEC
|
2,928-2,854
|
C-H
|
CNC, HEC, poly(AS-co-AAm) and cellulose-grafted hydrogels
|
1,659
|
C = O
|
poly(AS-co-AAm) and cellulose-grafted hydrogels
|
1,635-1,640
|
O-H
|
CNC and HEC
|
1,556
|
NH2
|
poly(AS-co-AAm) and cellulose-grafted hydrogels
|
1,420-1,449
|
C-H
|
CNC, HEC, poly(AS-co-AAm) and cellulose-grafted hydrogels
|
1,316-1,319
|
C-H
|
CNC and HEC
|
1,158
|
C-C
|
poly(AS-co-AAm) and cellulose-grafted hydrogels
|
1,045 − 1,058
|
C-O
|
CNC and HEC
|
669–885
|
O-H
|
CNC and HEC
|
Figure 4 shows the diffractograms obtained from the XRD analysis. HEC displayed a peak at 2θ = 22°, indicating a slight degree of crystallinity accompanied by amorphous regions (El Fawal et al. 2018). In the CNC diffractograms, the peaks at 14°, 16°, 22°, and 34° confirm the crystalline nature of this material (Boruah et al. 2023). All cellulose-grafted hydrogels exhibited a single peak at 2θ = 22° with varying intensities. This observation implies that both cellulose types were affected by the grafting reactions, which changed their original crystalline structures (Mukerabigwi et al. 2016).
Figure 4
Diffractograms obtained by XRD analysis of pure HEC and HEC-grafted hydrogels (a), and pure CNC and CNC-grafted hydrogels (b). “R” corresponds to redox and “T” refers to thermal initiation system.
The swelling kinetics of the different hydrogels (Fig. 5) were influenced by the initiation method. Notably, all hydrogels prepared by the redox method showed higher swelling across all conditions. Additionally, the HEC hydrogel with the lowest percentage of cellulose presented the largest swelling degree. This phenomenon may be attributed to the less dense structure and higher chain mobility associated with the lower cellulose content (Nath et al. 2023). During the initial stages of swelling the hydrogels were grafted onto CNC using 4% cellulose resulted in a greater swelling degree compared to those with 10%. However, the hydrogels with both CNC loadings achieved similar results at equilibrium. This indicates that the early phases of swelling are more affected by the decreased chain mobility caused by the addition of CNC, requiring longer periods to reach the maximum swelling degree for the grafted hydrogel. In addition, all prepared hydrogels reached equilibrium swelling after 1,440 min and those formulated with CNC exhibited slightly superior performance (up to 139 ± 25 g.g− 1) but showed higher standard deviations compared to those formulated with HEC (up to 128 ± 5 g.g− 1).
Figure 5
Swelling kinetics of cellulose-grafted hydrogels prepared with HEC (a) and CNC (b).
The power-law model was used to evaluate the physical mechanism of water retention during the exponential phase of the swelling process. The fit of the data to the model is depicted in Fig. 6, while Table 4 shows the fit and parameters of the power-law model for each hydrogel formulation. During the swelling, the water diffusion into the hydrogel results in the relaxation and reorganization of the polymer chains. The exponent n of the power-law model provides information about the physical mechanism of water retention in the hydrogel by the relation between the rate of water diffusion and chain relaxation. This mechanism can be divided in Fickian, anomalous or non-Fickian. In Fickian diffusion swelling, water diffuses into the hydrogel more rapidly than the polymer network can reorganize. Conversely, in non-Fickian diffusion swelling, the rates of polymer network relaxation are higher than the rate of water diffusion. Anomalous swelling is marked by a complex interplay of diffusion and relaxation processes, where water diffusion and polymer chain relaxation impact the swelling at the same order of magnitude (Ostrowska-Czubenko et al. 2015; Arthus et al. 2023b). When n < 0.5, swelling occurs by Fickian diffusion; for 0.5 ≥ n ≥ 1.0, the water transport mechanism is anomalous; and when n > 1, it indicates non-Fickian diffusion (Hertle et al. 2010).
Most of the synthesized hydrogels showed water transport governed by non-Fickian diffusion (Table 4), indicating that the water diffusion is much faster than the relaxation of the polymeric chains. The faster water uptake process may be related to the amount of hydrophilic groups arranged in a denser network (Arthus et al. 2023b). In the hydrogel formulation that used thermal initiation in the grafting of CNC, an anomalous water transport mechanism was identified (Table 4). In this case, Fickian diffusion and relaxation of the hydrogel chains occurs at similar rates (Jayaramudu et al. 2019). Similar results were obtained by Arthus et al. (2023b), who reported non-Fickian diffusion in hydrolyzed polyacrylamide hydrogels, and anomalous diffusion of polyacrylamide hydrogels. Gonçalvez et al. (2021), also reported anomalous diffusion in hydrogels formulated with poly(acrylamide-co-sodium acrylate) and poly(acrylamide-co-acrylic acid), with n value higher than 0.9, which may indicate a strong influence of the relaxation of the polymeric chains.
Table 4
Swelling kinetic fit and parameters.
Hydrogel formulation
|
R2
|
n
|
K
|
Predicted water transport mechanism
|
HEC-4%-T
|
0.9904
|
1.4928
|
-0.1008
|
Non-Fickian
|
HEC-4%-R
|
0.9969
|
1.3719
|
-0.8144
|
Non-Fickian
|
HEC-10%-T
|
0.9979
|
1.0848
|
-0.3471
|
Non-Fickian
|
HEC-10%-R
|
0.9958
|
1.5483
|
-1.8014
|
Non-Fickian
|
CNC-4%-T
|
0.9845
|
0.8196
|
0.6791
|
Anomalous
|
CNC-4%-R
|
0.9882
|
1.3507
|
-0.7936
|
Non-Fickian
|
CNC-10%-T
|
0.9585
|
0.7058
|
0.9561
|
Anomalous
|
CNC-10%-R
|
0.9898
|
1.4952
|
-1.7064
|
Non-Fickian
|
The CNC-4%-R hydrogel was selected based on the results obtained in the experimental design (detailed in Section 3.1) and further characterized by SEM and MRX analyses. Through SEM analysis (Fig. 7), it was possible to verify that the material has a rough surface, which may be related to the presence of CNC. This observation suggests that a substantial portion of the CNC is dispersed within the hydrogel matrix, facilitated by intermolecular hydrogen bonding with the monomers (AAm and SA) of the crosslinked network (Jayaramudu et al. 2019). Besides, the material presents regions where the CNC formed some aggregated, as highlighted in Fig. 7-b.
Figure 7: SEM images of CNC-4%-R hydrogel at 1000x (a) e 2000x (b) magnification.
The XRM analysis (Fig. 8) agrees with the SEM observations, as both methods confirm that the prepared hydrogel is not porous. Instead, the hydrogel features spherical voids that are not interconnected. These voids stem from entrapments that occurred during the hydrogel synthesis process due to the increase in the viscosity of the medium during gel formation, which hampers the exit of nitrogen gas bubbles. To mitigate this phenomenon, it is advisable to enhance the process of nitrogen gas bubbling during the synthesis.
Kinetics of water removal from diesel
Based on the outcomes of the experimental design (presented in section 3.1), the hydrogels synthesized with CNC using the redox initiation method were chosen for further assessment, while the amount of cellulose was not significant. Therefore, both CNC-4%-R and CNC-10%-R hydrogels were evaluated regarding the kinetics of water absorption from cloudy diesel. The obtained results are summarized in Table 5, revealing that both cellulose-grafted hydrogels exhibited a water removal efficiency of approximately 94% at all contact times assessed. Efficiency was calculated from the water content in control flasks (cloudy diesel without hydrogel) and treatment flasks (cloudy diesel with hydrogel). Worth highlights that using either 4% or 10% CNC yielded similar water removal capacities. This discovery aligns with predictions from the experimental design and underscores that the percentage of CNC cellulose did not substantially impact water removal from diesel under the conditions examined.
Table 5
Kinetics of water removal from diesel using CNC-grafted hydrogels prepared by redox initiation system. Experimental conditions: 1 g of hydrogel, 50 mL of water-in-oil emulsion, 5,000 mg.kg-1 of initial water content in diesel, and 25°C.
Contact time (min)
|
Water content (mg.kg− 1) in control flask
|
Water content (mg.kg− 1) in hydrogel treated diesel
|
CNC-4%-R
|
CNC-10%-R
|
120
|
2862.02 ± 368.04
|
150.63 ± 14.53
|
164.38 ± 5.68
|
180
|
2231.90 ± 248.88
|
131.85 ± 2.65
|
114.80 ± 0.60
|
240
|
1944.54 ± 223.99
|
114.20 ± 3.80
|
115.45 ± 0.85
|
300
|
1897.12 ± 194.70
|
110.91 ± 5.10
|
111.80 ± 5.60
|
The water content within diesel holds a critical significance as it is a mandatory parameter for the proper utilization of the fuel. This research seeks to treat the diesel to meet the specification established by the Canadian government, which allows a maximum water content of 200 mg.kg-1 (National Standard of Canada 2020). Through the utilization of cellulose-grafted hydrogel, this study facilitates the reduction of water concentration in diesel to levels below the specified limit. The visual appearance of the control and treatment flasks provides compelling evidence (Fig. 9). The control flask exhibits cloudy diesel, whereas the treatment flask has clear diesel. This visual contrast confirms the effectiveness of the hydrogel in absorbing water from the fuel.