This study aimed to investigate the sorption of anionic dyes (Reactive Black 5, Reactive Yellow 84, Acid Red 18, and Acid Yellow 23) by cotton fibers aminated with epichlorohydrin and ammonia water (ACFs) as well by unmodified cotton fibers (CFs). CFs and ACFs were characterized based on FTIR, elemental analysis (C/N content) and pHPZC. The effect of solution pH (pH 2–11) and contact time on the removal of dye was studied as well. The kinetic experimental data were fitted to pseudo-first order, pseudo-second order, and intraparticle diffusion model. Equilibrium isotherms were analyzed based on Langmuir and Freundlich isotherms. The efficiency of dye sorption on CFs was the most effective at pH 2, whereas on ACFs—at pH 3–4. ACFs and CFs changed the pH value of the sorption solution. The system tended to obtain a pH value close to the pHPZC value of the sorbent (pHPZC = 7.85 for CFs/pHPZC = 8.15 for ACFs). ACFs had a shorter dye sorption equilibrium time compared to the CFs. The sorption of dyes on cotton sorbents proceeded in 2 main phases. The best match to the experimental data was shown by the pseudo-secondary model. Having amine functional groups, the ACFs ensured far better sorption of anionic dyes than CFs did. The maximum Reactive Black 5 sorption capacity of ACFs was Qmax = 36.77 mg/g, which was 1240% higher than that of CFs (Qmax = 2.74 mg/g).
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Introduction
About 1 million tons of dyes are produced annually for the textile, tanning, and paper industries, with anionic dyes accounting for over 30% of the total (Wawrzkiewicz et al. 2017). They are popular due to the highly intense color and convenience of application. Their drawback, however, is their high solubility in water, which increases dye loss during dyeing. Up to 50% of the dye used in the dyeing process may enter the post-production waters (Toosi et al. 2017).
Colored industrial wastewater is particularly troublesome. Due to the presence of aromatic rings, dyes are hardly biodegradable, which results in a low efficiency of colored wastewater treatment with conventional methods like the biological ones based on the technology of activated sludge or biological membrane (Xiao et al. 2018).
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It is currently believed that adsorption, i.e. the binding of contaminants on the surface of a sorbent, represents one of the most effective and the most environmental-friendly methods for sewage decolorization (Zhang et al. 2019; Farooq et al. 2019). Among commercial sorbents, the most popular are based on activated carbons. They have a very large surface area (more than 1000 m2/g) (Hina et al. 2018) and exhibit good sorption properties against most types of dyes (Joshi et al. 2019), but are very expensive. Therefore, a search for cheaper and more efficient substitutes for activated carbons is underway today.
Chitosan, i.e. a chitin derivative obtained from the shells of marine crustaceans (mainly shrimps, crabs), has proved to be a good alternative to the commercial activated carbons (Filipkowska et al. 2017). Sorbents based on chitosan can exhibit much better sorption properties than the activated carbons do. In the case of anionic dyes, its maximum sorption capacity may reach Qmax = 1500–2500 mg/g (Jóźwiak and Filipkowska 2019). The high sorptive capacity of chitosan results from primary amine groups, which are the main sorption centers for most of the pollutants having a negative charge in the solution (Jóźwiak et al. 2017). Its disadvantage, however, is its poor availability in regions where krill, shrimps or crabs are not fished. In addition, its initially low price has been raised in recent years due to a growing interest from the pharmaceutical industry that uses it to produce dietary supplements, e.g. glucosamine.
Cellulose is a raw material structurally similar to chitosan, however chitosan possesses an amine group that imparts a basic character to a compound. Due to the lack of the -NH2 group and the neutral nature, cellulose has a potentially low sorption capacity with respect to anionic dyes. But as a raw material, it can be many times cheaper and much more available than chitosan. In theory, introducing amine groups into the cellulose chains would lead to a material resembling chitosan in sorption properties and being more effective in anionic dyes sorption.
The sorption properties of aminated cotton fibers as well as unmodified cotton fibers against dyes popular in the anion industry (Reactive Black 5, Reactive Yellow 84, Acid Red 18 and Acid Yellow 23) were compared and investigated. The choice of cotton as a raw material for sorbent production was determined by: cellulose content > 99%, large surface area of the material (> 100 m2/g in aqueous solution) (Thakur 2015) as well as good application properties (easy separation of the material from the solution). Ammonia (ammonia water) was used as the aminating agent. The efficiency of the cellulose amination process was increased by pre-activation of cotton with epichlorohydrin.
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Materials and laboratory equipment
Cotton fibers
“Bella Cotton” loose cotton fiber (Matopat, Poland) with the cellulose content > 99% (declared by the producer) and surface area of 137 m2/g (in distilled water) was used as cotton fibers in the tests.
Dyes
Reactive dyes: Reactive Black 5 (RB5), Reactive Yellow 84 (RY84); and acidic dyes: Acid Red 18 (AR18), Acid Yellow 23 (AY23) (Fig. 1), were purchased at the “BORUTA-ZACHEM SA” dyes production facility in Zgierz (Poland).
Fig. 1
Structural formulas of Reactive Black 5, Reactive Yellow 84, Acid Red 18 and, Acid Yellow 23, used in the study
×
Chemical reagents
The following chemical reagents were used in the tests: 99% epichlorohydrin (ACROS ORGANICS, Poland), 25% ammonia (POCH S.A., Poland) 35–38% hydrochloric acid (POCH S.A., Poland), and sodium hydroxide in microgranules (POCH S.A., Poland). All reagents were analytically pure or of higher grade.
Laboratory equipment
The following laboratory equipment was used in analyses: HI 221 pH-meter (Hanna Instruments, USA)—pH measurement and adjustment; FT/IR-4700LE spectrometer (JASCO, Japan)—FTIR analysis of sorbent; FLASH 2000 analyzer (THERMO SCIENTIFIC, USA)—elemental analysis (measurement of carbon and nitrogen content); UV-3100PC UV/VIS spectrophotometer (VWR International)—determination of dye concentration; MS-53 M Magnetic Stirrers (GMI, USA)—sorption of dyes (kinetics); SK-71 Shaker (JEIO TECH, South Korea)—sorption of dyes; and JWE-357 water bath with shaking (JW ELECTRONIC, Poland)—activation and amination of cotton fibers.
Methodology
Preparation of cotton fibers (CFs)
The cotton fibers were rinsed in 2 M H2SO4 and then in 2 M NaOH. After filtration, they were washed with a large volume of distilled water to remove possible residues of wax and fragrances from the material and to loosen the structure of cellulose fibers. After drying at 105 °C, CFs were stored in an airtight container at room temperature (25 °C), and afterwards soaked for 12 h in distilled water before use.
Preparation of aminated cotton fibers (ACFs)
CFs (100 g) were put into a conical flask (500 mL) to which 100 g of an epichlorohydrin solution (ECH) (> 99.0%) were added. The epichlorohydrin solution in the flask (containing CFs) was then subjected to pH correction (to pH 12) with a 1 M NaOH solution. The flask was then protected with parafilm and placed in a shaking water bath set at 60° C, 150 r.p.m. After 24 h, the cotton fibers were drained and washed with distilled water to remove unreacted ECH. After washing, they were put into a solution of ammonia (400 g—25%) in a beaker (600 mL) protected with a latex membrane. After 24 h of ammonization, the fibers were filtered and washed with distilled water to remove any unreacted ammonia, and finally dried (105 °C). The aminated cotton fibers (ACFs) were soaked for 12 h in distilled water before use.
Research on the influence of solution pH on dye sorption efficiency
A sorbent (1.0 g d.m.) was weighed into a series of conical flasks (300 mL), after which dye solutions of 200 mL, pH 2–11 and concentration of 50 mg/L were added to the flasks. The flasks were then placed on a laboratory shaker (150 r.p.m., vibration amplitude—25 mm) for 2 h. After a predetermined time, the samples (10 mL) were taken from the flasks to analyze the concentration of dye left in the solution. The pH value of the solutions after sorption was measured as well.
Research on dye sorption kinetics
The sorbent (5 g d.m.) was weighed into beakers (1000 mL), after which dye solutions (1000 mL) with concentrations of 50, 100, and 250 mg/L and the optimal pH (established in point 3.2) were added to the beakers. The beakers were then placed on a magnetic stirrer (150 r.p.m.). At specific time intervals (0, 10, 20, 30, 45, 60, 90, 120, 180, 240, 360 min), the samples (5 mL) were collected from the solutions for spectrophotometric determination of the concentration of dye left in the solution.
Research on the maximum sorption capacity against dyes
The sorbent (1.0 g d.m.) and dye solutions (200 mL) with optimal pH (established in point 3.2) and with concentrations of: 5, 10, 20, 30, 50, 75, 100, 150, 200, and 250 mg/L, were weighed into conical flasks (300 mL). The flasks were then placed on a laboratory shaker (150 r.p.m., vibration amplitude—25 mm). After the equilibrium time (point 3.3), samples of the solutions (10 mL) were collected from the conical flasks to analyze the concentration of dye that remained in them.
Analyses described in points 3.3–3.5 were conducted for 2 sorbents (CFs, ACFs) and 4 dyes (RB5, RY84, AR18, AY23). All experiments were carried out at 22° C.
Calculation methods
The amount of the sorbed dye was calculated using the following formula (1):
where Q—mass of sorbed dye (mg/g d.m.), Co—initial dye concentration (mg/L), CE—dye concentration after sorption (mg/L), V—volume of the solution (L), m—dose of the sorbent (g d.m.), qt—momentary quantity of sorbed dye (mg/g), qe—equilibrium amount of sorbed dye (mg/g), t—sorption time (min), k1—constant in the pseudo-first order equation (1/min), k2—constant in the pseudo-second order equation (g/(min*mg)), kdi—constant rate of intramolecular diffusion (mg/g min−0.5), Qmax—maximum adsorptive capacity of the sorbent (mg/g d.m.), Kc—constant in Langmuir equation (L/g d.m.), Ck—the concentration of the adsorbed substance at steady state (mg/L), n—distribution factor (Freundlich isotherm) (−).
Results and discussion
Characteristics of cotton and aminated cotton FTIR spectra
The FTIR spectrum obtained for the unmodified cotton fibers (CFs) is typical of the cellulose-based materials (Fig. 2). The wide band of peaks in the range of 3600–3000 cm−1 indicates the presence of stretching vibrations of the O–H polysaccharide bonds, whereas the peak at 2900 cm−1 is attributed to the tensile vibrations of the C-H bonds of the polysaccharide (Hospodarova et al. 2018). The peak in the range of 1640–1650 cm−1 indicates the presence of water (H2O molecules) in material structure (Kiefer et al. 2016). Peaks at 1429, 1380, and 1318 cm−1 are indicative of successive wagging in the plane, stretching and bending of the C–H bond. Whereas peaks at 1336, 1229, and 1202 cm−1 correspond to the bending in the plane of the O–H bond. Peaks at 1070, 1030, and 998 cm−1 correspond to the stretching of the C–O bond. The presence of C–O–C binding—typical of the saccharide structures—is indicated by peaks at 1170, 1108, and 898 cm−1. In turn, the peak at 1175 cm−1 indicates the stretching in the plane of the saccharide cellulose ring (Chung et al. 2004).
Fig. 2
IR spectra of cotton fibers (CFs) and aminated cotton fibers (ACFs)
×
In the case of an aminated cotton fiber spectrum, a peak in the range of 3250–3300 cm−1 indicates the stretching of the N–H bond, whereas peaks at 980, 930, and 870 cm−1 are related to the fluctuation (wagging) of the primary amine N–H bond. The peaks at 1360–1356, 1280, and 1247 cm−1 are indicative of the presence of the C–N bond (Osler et al. 2017). In summary, the analysis of the FTIR spectra of the modified cotton fibers shows the presence of primary amine groups in the sorbent’s structure and thus confirms the amination process did proceed during material ammonization.
Carbon and nitrogen content
The nitrogen content in the aminated cotton was from 0.65 to 0.71% (average 0.67%), while in CFs it was < 0.1%. This indicates that the process of cotton amination has taken place. The average carbon content in the analyzed samples was 38.66% for ACFs and 41.77% for CFs.
Influence of solution pH on dye sorption efficiency
The sorption efficiency of all tested anionic dyes (RB5, RY84, AR18, AY23) on CFs was the highest at pH 2 and decreased with pH value increasing from 2 to 10. The binding of the RB5 reactive dye and acidic dyes AR18 and AY23 to ACFs was the most effective in the pH range of 3–4. The exception was the RY84 dye, sorption of which on ACFs was the most effective at pH 2. As with CFs, an increase in pH value caused a decrease in ACFs sorption efficiency against all dyes tested (Fig. 3).
Fig. 3
Influence of solution pH on the efficiency of dye sorption: a RB5, b RY84, c AR18, and d AY23 on CFs and ACFs, temp. 22 °C
×
The higher sorption efficiency of anionic dyes at low solution pH is due to a positive charge gained by the surface of the sorbent. The protonated hydroxyl groups in CFs as well as the amine groups in ACFs interact electrostatically with the functional groups of dyes, generating a negative charge (e.g. sulfone groups) which supports the sorption of the anionic dyes tested (Chiu et al. 2018). Due to the higher susceptibility of -NH2 groups to protonation compared to the –OH groups, much better dye binding efficiency was demonstrated by the aminated sorbent (ACFs).
At high pH value, the functional groups of sorbents (–OH, –NH2) can be deprotonated, as a result of which the sorbent gains a negative charge (Lindman et al. 2017; Pan et al. 2019) and this inhibits the binding process of anionic dyes. At high pH, very low sorption efficiency of anionic dyes on CFs and ACFs may also result from competition of dyes with OH− ions (Jóźwiak et al. 2020).
The decrease in the sorption efficiency at pH 2 (relative to pH 3 and 4) observed in the case of RB5, AR18, and AY23 was probably due to the strong competition of dyes with Cl− ions and amine sorption centers on ACFs surface (Zhao et al. 2017). This was not observed for the RY84 dye, presumably due to the extremely high affinity of the reactive chlorotriazine groups to the amine groups. This is a phenomenon characteristic of sorbents having primary amine groups in their structure. A very similar tendency was observed in the sorption of RB5 and RY84 dyes on chitosan-based sorbents (Filipkowska and Jóźwiak 2013). This may provide further evidence for the presence of amine groups on the surface of ACFs.
A similar tendency observed for various anionic dyes (e.g. RB5 and AR18/AY23), differing in their molecular mass as well as the number and type of functional groups, points to the same, simple sorption mechanism based on electrostatic interactions between the dye and the sorbent. This is the likely cause of similar results obtained for a variety of anionic dyes (Lipatova et al. 2018).
Cotton sorbents used in the research influenced the pH change of the solution they had contact with (Fig. 4a–d). At the initial solution pH ranging from 6 to 10, after sorption of dyes on CFs the pH was in the range from 7.1 to 8.1, and in the case of ACFs—in the range from 7.5 to 8.3. This is due to solution’s tending for the pHPZC characteristic of the sorbent, which for CFs and ACFs reached pHPZC = 7.85 and pHPZC = 8.15, respectively (Fig. 4e–f). The higher pHPZC value determined for ACFs compared to CFs is due to the presence of amine functional groups that affect the alkaline nature of the sorbent (Deng et al. 2016; Filipkowska et al. 2018).
Fig. 4
pH values of solutions after sorption of dyes: a RB5, b RY84, c AR18, and d AY23 on CFs and ACFs. e Determination of pHPZC of sorbents tested, f Close-up to the intersection of the X axis in e, temp. 22 °C
×
The process of dyeing materials using anionic (acidic) dyes is usually carried out in an acidic environment, and post-production wastewater usually has a pH value of 3–4 (Mihułka et al. 2003). For this reason, the next stages of the research (tests into the sorption kinetics and sorption capacity) were carried out at pH 3 for all dyes and sorbents tested.
Kinetics of dyes sorption
The time needed to reach the sorption equilibrium for anionic dyes on CFs, regardless of their initial concentration, was 240 min, while in the case of ACFs it was shorter and did not exceed 120 min (Fig. 5). Both in the case of CFs and ACFs, the dye binding intensity was the highest at the initial sorption phase and depended on the initial concentration of dyes (Tables 1, 2). The increase in the binding intensity of dyes on the surface of sorbents together with the increase of their concentration in the solution was most likely due to the increasing probability of dye molecules collision with active sorbent centers.
Fig. 5
Kinetics of dye sorption: a RB5 on CFs, b RB5 on ACFs, c RY84 on CFs, d RY84 on ACFs, e AR18 on CFs, f AR18 on ACFs, g AY23 on CFs, h AY23 on ACFs. Solution pH 3, temp. 22 °C
Table 1
Kinetic parameters of dye sorption on CFs and ACFs, determined on the basis of the pseudo-first order model and the pseudo-second order model
Dye
Sorbent
Conc. of dye
Pseudo-first order model
Pseudo-second order model
Exp. data
qe.cal
K1
R2
χ2
qe.cal
K2
R2
χ2
qe.exp
(mg/L)
(mg/g)
(1/min)
–
–
(mg/g)
(g/mg*min)
–
–
(mmol/g)
RB5
CFs
50
2.49
0.045
0.988
0.047
2.78
0.021
0.994
0.046
2.62
100
2.65
0.051
0.988
0.064
2.92
0.025
0.998
0.010
2.78
250
2.77
0.060
0.986
0.084
3.03
0.028
0.999
0.006
2.89
ACFs
50
27.20
0.127
0.963
1.375
28.96
0.007
0.996
0.135
28.52
100
33.28
0.178
0.991
0.294
34.85
0.009
0.995
0.235
34.44
250
35.97
0.188
0.985
0.535
37.66
0.009
0.998
0.099
37.64
RY84
CFs
50
12.61
0.097
0.949
0.951
13.59
0.011
0.992
0.130
13.45
100
14.55
0.168
0.963
0.570
15.38
0.018
0.994
0.092
15.31
250
16.15
0.184
0.955
0.853
16.98
0.019
0.991
0.178
17.03
ACFs
50
32.91
0.066
0.960
2.687
35.77
0.003
0.994
0.315
34.21
100
35.59
0.104
0.966
1.767
38.17
0.004
0.997
0.139
37.45
250
43.55
0.144
0.988
0.639
45.92
0.005
0.998
0.078
44.54
AR18
CFs
50
3.83
0.095
0.968
0.176
4.13
0.035
0.997
0.014
4.09
100
4.27
0.098
0.965
0.217
4.59
0.032
0.997
0.017
4.53
250
4.74
0.105
0.981
0.133
5.07
0.032
0.999
0.001
4.97
ACFs
50
35.61
0.176
0.959
1.588
37.57
0.008
0.994
0.251
37.61
100
47.07
0.278
0.985
0.666
48.57
0.012
0.999
0.055
48.21
250
50.21
0.286
0.983
0.813
51.80
0.012
0.998
0.085
52.05
AY23
CFs
50
3.15
0.132
0.977
0.082
3.35
0.061
0.996
0.018
3.33
100
3.31
0.164
0.977
0.083
3.49
0.078
0.998
0.007
3.50
250
3.51
0.172
0.973
0.100
3.69
0.078
0.997
0.012
3.68
ACFs
50
16.03
0.162
0.989
0.191
16.86
0.016
0.997
0.075
16.49
100
17.08
0.212
0.994
0.110
17.74
0.023
0.998
0.030
17.44
250
19.16
0.213
0.989
0.204
19.94
0.020
0.999
0.023
19.77
Table 2
Constant dye diffusion rates determined on the basis of a simplified model of intramolecular diffusion
Dye
Sorbent
Conc. of dye
The first phase of sorption
The second phase of sorption
kd1
Phase duration
R2
kd2
Phase duration
R2
(mg/L)
(mg*g−1*min−0.5)
(min)
–
(mg*g−1*min−0.5)
(min)
–
RB5
CFs
50
0.3089
60
0.9700
0.0556
180
0.9442
100
0.3416
60
0.9729
0.0411
180
0.9272
250
0.3718
60
0.9542
0.0373
180
0.9151
ACFs
50
5.1481
20
0.9538
0.8762
100
0.9559
100
8.8986
10
0.9999
0.6725
110
0.8949
250
9.6219
10
0.9538
0.6685
110
0.9739
RY84
CFs
50
2.2608
30
0.9690
0.2182
210
0.9590
100
3.7609
20
0.9951
0.2188
220
0.8453
250
4.0685
20
0.9484
0.1922
220
0.8763
ACFs
50
5.3381
20
0.9975
1.7412
100
0.9794
100
7.6572
10
0.9998
1.3256
90
0.9119
250
10.446
10
0.9901
0.8733
90
0.8293
AR18
CFs
50
0.6184
30
0.9653
0.0683
210
0.8814
100
0.6792
30
0.9544
0.0616
210
0.8654
250
0.7815
30
0.9619
0.0500
210
0.9141
ACFs
50
9.1367
10
0.9818
0.9938
110
0.9790
100
13.713
10
0.9641
0.6704
110
0.9590
250
14.620
10
0.9568
0.6444
110
0.9418
AY23
CFs
50
0.6367
20
0.9690
0.0529
220
0.9135
100
0.6747
20
0.9391
0.0471
220
0.8570
250
0.7092
20
0.9227
0.0416
220
0.9136
ACFs
50
4.1106
10
0.9999
0.3047
110
0.9387
100
4.7186
10
0.9914
0.3007
110
0.8605
250
5.2911
10
0.9896
0.2491
110
0.9859
×
Regardless of the type of sorbent and dye tested, the largest match to the experimental data was shown by the pseudo-secondary model (higher values of R2 and smaller values of Chi square—χ2) (Table 1). The qe,cal constant in most cases increased with the initial colorant concentration. This is a typical phenomenon of the sorption of anionic dyes on biosorbents (Dehvari et al. 2016; Oyelude et al. 2017).
The sorption of the dyes tested, both on CFs and ACFs, occurred in two distinct phases (Table 2). In the first phase, dyes were associated with the most available sorption centers, located mainly in the top layers of the sorbent. This phase was short but intense. In the second phase, the dyes were filled with active centers, located in deeper, less accessible layers of the sorbent. Therefore, the second phase lasted longer than the first one and was characterized by a lower efficiency.
As expected, the kd1 constant determined from the intramolecular diffusion model increased with the increase of the initial dye concentrations. As already mentioned, this was due to the greater chance of sorbate colliding with the active site in the system with a higher concentration of dye. The increasing intensity of dye sorption along with the concentration of the colorant in the first phase of the process resulted in its decrease in the second phase (Table 2). In the second phase, the growing competition between dyes for the last unsaturated sorption centers translated into the lower sorption efficiency.
The sorption intensity of the tested dyes on ACFs was many times higher than on CFs (qe values—Table 1, kd1/kd2 values—Table 2). Since CFs mainly consists of cellulose (> 99%), this sorbent had mainly hydroxyl functional groups. In turn, apart from hydroxyl groups, the ammonized cotton fibers (ACFs) had also amine groups. At low solution pH (pH 3), protonation was observed to occur for the majority of the primary amine groups and for only a small fraction of the hydroxyl groups.
The ACFs surfaces had a larger total positive charge compared to the CFs, which significantly intensified and accelerated the sorption process of anionic dyes. This is also an explanation of the shorter duration of phase 1 and 2 as well as the equilibrium time of dye sorption on ACFs as compared to CFs.
Maximum sorption capacity
The sorption of the tested dyes on CFs and ACFs is better described with the Langmuir isotherm than with the Freundlich isotherm, as evidenced by the higher values of R2 and lower values of Chi square (χ2) (Table 3). A better fit of the Langmuir model than of the Freundlich model to the experimental data may suggest that the dye molecules form a monolayer on the sorbent’s surface. The shape of the Langmuir isotherm (Fig. 6) suggests that only one dye molecule can attach to one sorption center.
Table 3
Constants determined from Langmuir model and from Freundlich model
Dye
Sorbent
Langmuir model
Freundlich model
Qmax
KC
R2
χ2
k
n
R2
χ2
(mg/g)
(L/mg)
–
–
–
(L/g)
–
–
RB5
CFs
2.74
0.520
0.939
0.028
1.788
0.088
0.910
0.036
ACFs
36.77
0.195
0.981
3.782
12.193
0.225
0.931
5.350
RY84
CFs
15.90
0.224
0.965
0.690
6.367
0.184
0.872
2.181
ACFs
43.32
0.279
0.977
6.216
15.552
0.214
0.927
7.485
AR18
CFs
4.70
0.169
0.935
0.130
2.002
0.168
0.912
0.219
ACFs
54.23
0.137
0.993
0.918
14.536
0.264
0.878
16.585
AY23
CFs
3.58
0.811
0.935
0.025
2.622
0.064
0.724
0.118
ACFs
19.35
0.188
0.977
0.558
7.177
0.197
0.841
3.978
Fig. 6
Dye sorption isotherms: a RB5, b RY84, c AR18, d AY23 on CFs and ACFs. Solution pH 3, temp. 22 °C
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The sorption capacity of ACFs relative to the RB5, RY84, AR18 and AY23 dyes was successively: 36.77 mg/g, 43.32 mg/g, 54.23 mg/g, and 19.35 mg/g, being many times higher than that of CFs, which accounted for 2.84 mg RB5/g, 15.90 mg RY84/g, 4.70 mg AR18/g, and 3.58 mg AY23/g, respectively (Table 3, Fig. 6). In general, the lower KC values calculated for ACFs indicate a greater effect of the initial dye concentration on the efficiency of sorption compared to CFs.
The higher sorption capacity of ACFs compared to CFs was mainly due to the possibility of obtaining a larger total positive charge on the surface of the sorbent and thus a stronger interaction with anionic dyes, which is explained in points 3.2 and 3.3.
The higher sorption capacity of ACFs can also be caused by the more loose structure of cotton fibers. Presumably, the positively charged chains of aminated cellulose were repelled electrostatically at low pH, which could increase the distance between them. As a result, the sorbent was swelling. This increased its specific surface as well as the availability of sorption centers located in its deeper layers, which translated into its better sorption properties. Probably due to the neutral nature of cellulose (Cumpstey 2013) and lower susceptibility of –OH groups to protonation (compared to –NH2), the structure of unmodified cotton fibers (CFs) remained compact even at low pH (pH 2–3).
Differences between the sorption efficiencies of individual dyes could result from their different molar masses, which affected their ability to penetrate the sorbent’s structure. The type and amount of acidic/reactive functional groups, affecting the nature and strength of dye molecules interaction with the active sorbent centers, could be of great importance as well.
Summary
The ammonization of cotton fibers pre-activated with ECH leads to the amination of the cellulose contained therein. Due to the presence of primary amine groups, the ammonized (aminated) cotton (ACFs) shows much better sorption properties against anionic dyes than the unmodified cotton (CFs) does. The sorption capacities of ACFs against the tested dyes were by 170 to even 1240% higher than in the case of CFs.
The efficiency of dyes sorption on CF and ACF sorbents largely depends on the pH of the solution in which the sorption takes place. The binding of anionic dyes to CFs is most effective at pH 2, whereas to ACFs—at pH 3–4. In the pH range of 3–11, the sorption performance decreases with increasing pH, which is due to the change of the charge on sorbent’s surface.
ACFs and CFs cause changes in the pH value of the sorption solution. The system tends to obtain a pH value close to the pHPZC value of the sorbent. Due to the cellulose amination process occurring during the ammonium treatment of cotton (incorporation of basic -NH2 groups into sorbent’s structure), the pHPZC value for ACFs is higher than for CFs.
The sorption of anionic dyes on CFs and ACFs occurs in two phases. The first phase involves fast and intense bonding of colorants with the most accessible sorption centers, located mainly in the top layers of the sorbent. In the second, longer and less intensive, phase the dyes compete with each other and fill the last free active centers located in the less available sorbent layers. The intensity of dyes sorption on CFs/ACFs is the highest at the initial phase of the process. In addition, the dye sorption rate increases with increasing initial concentration, which results from the probability of dye molecules colliding with the active sorbent centers.
The time needed to reach sorption equilibrium of anionic dyes on ACFs (120 min) is much shorter than on CFs (240 min). This is due to the presence of amine groups capable of easy protonation in the ACFs structure. A strong interaction of –NH3+ with dye anions accelerates their binding on sorbent’s surface and shortens process duration.
Acknowledgments
This study was financed under Project No. 18.610.008-300 of the University of Warmia and Mazury in Olsztyn, Poland.
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