Next Article in Journal
Did the Construction of the Bhumibol Dam Cause a Dramatic Reduction in Sediment Supply to the Chao Phraya River?
Next Article in Special Issue
The Identification of Fouling in Reverse Osmosis in the Treatment of Water with Petroleum Substances
Previous Article in Journal
Influence of the Drag Force on the Average Absorbed Power of Heaving Wave Energy Converters Using Smoothed Particle Hydrodynamics
Previous Article in Special Issue
Variations in the Phytoremediation Efficiency of Metal-polluted Water with Salvinia biloba: Prospects and Toxicological Impacts
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Physicochemical Interactions in Systems C.I. Direct Yellow 50—Weakly Basic Resins: Kinetic, Equilibrium, and Auxiliaries Addition Aspects

by
Monika Wawrzkiewicz
* and
Ewelina Polska-Adach
Department of Inorganic Chemistry, Faculty of Chemistry, Institute of Chemical Sciences, Maria Curie-Sklodowska University in Lublin, M. Curie-Sklodowska Sq. 2, 20-031 Lublin, Poland
*
Author to whom correspondence should be addressed.
Water 2021, 13(3), 385; https://doi.org/10.3390/w13030385
Submission received: 1 January 2021 / Revised: 26 January 2021 / Accepted: 28 January 2021 / Published: 2 February 2021
(This article belongs to the Special Issue New Aspects of Occurrence and Removal of Emerging Pollutants)

Abstract

:
Intensive development of many industries, including textile, paper or plastic, which consume large amounts of water and generate huge amounts of wastewater-containing toxic dyes, contribute to pollution of the aquatic environment. Among many known methods of wastewater treatment, adsorption techniques are considered the most effective. In the present study, the weakly basic anion exchangers such as Amberlyst A21, Amberlyst A23 and Amberlyst A24 of the polystyrene, phenol-formaldehyde and polyacrylic matrices were used for C.I. Direct Yellow 50 removal from aqueous solutions. The equilibrium adsorption data were well fitted to the Langmuir adsorption isotherm. Kinetic studies were described by the pseudo-second order model. The pseudo-second order rate constants were in the range of 0.0609–0.0128 g/mg·min for Amberlyst A24, 0.0038–0.0015 g/mg·min for Amberlyst A21 and 1.1945–0.0032 g/mg·min for Amberlyst A23, and decreased with the increasing initial concentration of dye from 100–500 mg/L, respectively. There were observed auxiliaries (Na2CO3, Na2SO4, anionic and non-ionic surfactants) impact on the dye uptake. The polyacrylic resin Amberlyst A24 can be promising sorbent for C.I. Direct Yellow 50 removal as it is able to uptake 666.5 mg/g of the dye compared to the phenol-formaldehyde Amberlyst A23 which has a 284.3 mg/g capacity.

Graphical Abstract

1. Introduction

Water is indispensable for life. Every organism contains water and needs it to live. The land is covered with 71% of water, where the vast majority, about 97%, is in the seas and oceans and is inaccessible to human consumption, while the remaining 3% is occupied by fresh water (ice sheets, glaciers, eternal snow and ground ice as well as underground water). Of these 3%, only 0.06% is easily accessible to plants, animals and humans [1].
The rapid increase in the world numbers and extensive industrial activities have caused the demand for water to double globally every 21 years. Nearly 80 countries, representing 40% of the world’s population, are struggling with water crises. The United Nations estimated that by 2025 water shortages could affect as many as 2.7 billion people [1,2]. What is more, many of these countries suffer from a lack of drinking water. About 5–10 million people die annually from diseases associated with the consumption of polluted water [1]. The demand for water grows every year. Therefore, it is necessary to search for more modern, and more economical, technologies for water/wastewater treatment. Reclamation, recycling and reuse of wastewater are necessary to meet the requirements for irrigation water, industry and domestic applications due to the growing population [1,2,3,4]. Sewages are constituted by water used for specific purposes and contain various types of industrial, agricultural and urban pollution that must be removed before water re-enters the environment. Untreated sewages cause contamination of surface and underground water and exclude it from economic and social uses. The most hazardous environmental pollutants are included in industrial sewages and contain mostly organic and inorganic compounds, such as dyes, phenolic and aromatic compounds, as well as heavy metals [4,5,6]. In the textile effluents, auxiliary agents such as salts, acids, alkalis, surfactants and oxidants can also be present [7,8,9,10]. Dyes may also be found in wastewater from the paper industry, plastic and cosmetics manufacturing, food industry, paints, varnishes and stains, leather and rubber dyeing and dye manufacturing. Dyes impede light penetration into the water and inhibit photosynthesis. They are mutagenic, carcinogenic and teratogenic towards living organisms present in water, especially microorganisms and fish [11,12,13]. Dyes penetrate into the human body and cause dysfunction of the kidneys, liver, brain, reproductive system and central nervous system (Figure 1) [11]. In addition, they can trigger asthma and allergies [11,12]. In addition, dyes can undergo transformations during degradation under aerobic or anaerobic conditions into products with even greater toxicity than the parent dyes [13]. Therefore, removing dyes and other chemicals from wastewaters is of great importance in the field of water purification.
The basic treatment methods of textile wastewaters can be divided into four groups: mechanical, biological, chemical and/or physical methods (e.g., oxidation, flocculation, flotation, adsorption and combination of the previously mentioned ones) [14,15,16,17,18,19]. One of the most effective methods with a great potential for removal of dyes from wastewaters are adsorption techniques [20,21,22]. The effectiveness of the adsorption process depends mainly on the selection of the appropriate adsorbent and the conditions under which the process is run. The most commonly used sorbent is activated carbon due to the large specific surface area, developed porous structure, possibility of modification and reactivity [23,24,25,26,27,28,29,30]. Its disadvantage is the relatively high price, which limits its use to some extent. One of the sorbents used in the purification processes are those produced from waste materials (low-cost adsorbents). Some of these materials are formed from waste substances that no longer have any use, e.g., peels, citrus stones, agricultural waste, fly ash, peat, slag and many others [31,32,33,34,35,36,37,38,39,40,41,42,43]. They are mainly characterized by their availability and cheap production cost, while their disadvantage is the relatively low sorption capacity compared with activated carbons or polymeric resins [34,35,36,37,38,39,40]. Ion exchange resins are now of major interest due to properties such as large sorption capacity, good chemical resistance and high mechanical strength, making them able to stand up to high temperatures, significant osmotic shock, and exposure to oxidizing agents, as well as high efficiency and no loss of sorbent in the regeneration process. Disadvantages of ion exchangers applications are possibility of bed fouling by substances occurring in water (such as organic matter or Fe3+ ions) and high initial capital cost of installation [39,44,45]. The prices of ion exchange resins vary depending on the manufacturer, type, quality and bead size. The average cost of 1 ft3 for weak/strong acid resins is from $40 to $200 while for weak/strong base resins it is $130 to $200 [44,45,46]. These costs are compensated by high sorption capacity and the possibility of regeneration and reuse without a significant loss of capacity in the subsequent cycles of operation. Owing to the introduction of macroporous ion exchangers with a sponge-like structure into the industry, it was possible to improve the kinetic sorption parameters of these resins [47]. The use of a given ion exchanger depends on the type of its functional groups which are responsible for ion exchange and determine the optimum efficiency of a given resin at various pH levels. In a large group of ion exchangers, anion exchangers with different basicity of functional groups found the largest practical application in the sorption process of acid, direct and reactive dyes [48,49,50,51]. Other important parameters affecting the efficiency of dye retention are matrix composition (polyacrylic, polystyrene, phenol formaldehyde) and porosity.
The purpose of the paper was to assess the efficiency of C.I. Direct Yellow 50 uptake from aqueous solutions by the weakly basic anion exchangers differing in matrix composition. C.I. Direct Yellow 50 is commonly used to dye cellulosic fabric, paper, leather etc. In addition, direct dyes are superior to others in terms of cost, better lightfastness, ease of application or shorter dye cycle. There is no complete information in the literature so far on the use of weakly basic anion exchange resins with different matrix compositions for DY50 removal. Kinetic and equilibrium parameters of the sorption process were determined and the influence of such factors as time, concentration or pH on the efficiency of dye adsorption from solutions containing additional salts and surfactants was evaluated. Anion exchange resins regeneration was investigated, too.

2. Materials and Methods

2.1. Adsorbents and Adsorbate

There were three weakly basic anion exchange resins of different matrices used: polystyrene Amberlyst A21 (abbr. A21), polyacrylic Amberlyst A24 (abbr. A24) and phenol-formaldehyde Amberlyst A23 (abbr. A23) (Figure 1). The resins were purchased from Sigma-Aldrich (Taufkirchen, Germany). Prior to the adsorption test, the resins were washed with 1 M HCl and distilled water to remove impurities and to change the ionic form to the chloride form. Resins were dried at room temperature to constant weight. The stock solution of the textile dye C.I. Direct Yellow 50 (abbr. DY50) (Boruta-Zachem, Zgierz, Poland) was prepared using distilled water (Figure 2).

2.2. Other Chemicals

Sodium sulphate and carbonate, hydrochloric acid and sodium hydroxide were purchased from Avanor Performance Materials (Gliwice, Poland). The anionic surfactant sodium dodecyl sulfate (SDS) and nonionic surfactant Triton X-100 (TX-100) were purchased from Sigma-Aldrich (Germany).

2.3. Batch Adsorption Method

In the batch method, conical flasks of the 100 mL volume closed with a silicone stopper were used. Then, 50 mL of dye solution of the initial concentrations 100–500 mg/L (kinetic studies) or 500–9000 mg/L (equilibrium studies) and 0.5 g of the anion exchanger were added. The flasks were placed in an Elphin+ 358S mechanical shaker (Elphin, Poland) with a vibration amplitude of 8 units and rotary of 180 cycles/min at 25 °C and mixed from 1 to 240 min (kinetic studies) or 24 h (equilibrium studies). The effects of Na2CO3 and Na2SO4, as well as SDS and TX-100 additions on DY50 sorption process on A21, A23 and A24 were studied using the conditions listed in Table 1. After shaking, the resin was separated from the solution, and the concentration of DY50 was measured spectrophotometrically (UV-Vis spectrophotometer Cary 60, Agilent, Santa Clara, CA, USA) at the maximum absorbance wavelength (394–403 nm depending on the auxiliaries, Table 1).
The effect of initial pH of the solution on the adsorption effectiveness of DY50 on the weakly basic resins A21, A23 and A24 was investigated by shaking 0.5 g of the resin with 50 mL of a solution of different initial pH containing 500 mg/L of dye. The pH was adjusted with 1 M NaOH and 1 M HCl. After the sorption process (t = 15 min), the DY50 concentration was measured spectrophotometrically.
The batch adsorption/desorption experiments were done three times, and the average values are given in the figures and tables. Maximum error was found to be ±3%.

2.4. Kinetic Experiments

The amount of dye adsorbed at time t (qt) (t = 1–240 min) was calculated from the Equation (1):
q t = C 0 C t m V
where C0—initial DY50 concentration (mg/L), Ct—DY50 concentration after sorption time t (mg/L), V—volume (L), m—anion exchanger mass (g).
For the description of experimental data three popular models were applied based on which the kinetic parameters were calculated.

2.4.1. Pseudo First-Order Model (PFO)

The Langergren (1898 [53]) model of the first order is determined by the following Equation (2):
l o g   q e q t = l o g   q e k 1 2.303
where k1—pseudo-first order rate constant (1/min), t—time (min), qe, qt—amounts of DY50 adsorbed at equilibrium and after time t (mg/g).
From the slopes and intercepts of the plots log (qeqt) vs. t, k1 and qe were calculated.

2.4.2. Pseudo Second-Order Model (PSO)

This model proposed by Ho and McKay [54,55] in 1998 is represented by the following Equation (3):
t q t = 1 k 2 q e 2 + 1 q e t
where k2—pseudo-second order rate constant (g/mg·min), t—time (min), qe, qt—amounts of DY50 adsorbed at equilibrium and after time t (mg/g).
If the kinetics of the sorption process are described by the PSO model, the t/qt vs. t graph is linear and qe and k2 can be determined from the slope and intercept.

2.4.3. Weber and Morris Intraparticle Diffusion Model (ID)

Due to the porosity of the anion exchange resins the intraparticle diffusion model proposed by Weber and Morris [56] was considered in order to describe if the diffusion mechanism can be the controlling step of the reaction. The Equation (4) assumes the proportionality of sorption to the square root from the time of adsorbent-solution phase contact:
q t = k i t 0.5 + c
where qt—amount of DY50 adsorbed at time t (mg/g), ki—intraparticle diffusion rate constant (mg/g∙min0.5), c—constant illustrating the effect of the boundary layer on the sorption process, t—time (min).

2.5. Equilibrium Experiments

Adsorption isotherms are used to determine the balance between the concentration of adsorbate in the solid phase and its concentration in the liquid phase. Based on the course of the isotherm, information about the maximum adsorption capacity of the sorbent can be obtained. The most commonly used models are Langmuir and Freundlich ones.

2.5.1. Langmuir Model

The Langmuir isotherm equation describes chemical adsorption. The adsorbed substance forms a monomolecular film on the surface of the solid phase. The Langmuir adsorption isotherm is the basic and most widespread adsorption equation that can be considered as the initial equation for a number of more detailed studies [57,58]. The linear form of the Langmuir isotherm is given below (5):
C e q e = 1 Q 0 b + C e Q 0
where Ce—equilibrium DY50 concentration (mg/L), Q0—monolayer capacity (mg/g), b—Langmuir constant (L/mg), qe—amount of DY50 adsorbed at equilibrium (mg/g).
The values of the Langmuir parameters were obtained from the plots Ce/qe vs Ce.
A characteristic feature of the Langmuir isotherm is the dimensionless separation factor RL which can be calculated as follows (6):
R L = 1 1 + b C 0
where C0—initial DY50 concentration (mg/L), b—Langmuir constant (L/mg).
In addition, the value of the dimensionless RL coefficient determines the shape of the isotherm: unfavorable (RL > 1), linear (RL = 1), favorable (0 < RL < 1) or irreversible (RL = 0) [57].

2.5.2. Freundlich Model

The Freundlich (1906) isotherm equation describes the well adsorption on heterogeneous surfaces (non-uniform energy) and microporous adsorbents [59]. It is used for description of reversible adsorption and is not confined to the formation of a single layer. The Freundlich model can be described based on the following Equation (7):
l o g   q e = l o g   k F + 1 n l o g   C e
where kF—Freundlich constant (mg1−1/n L1/n/g), 1/n—parameter characterizing the energy heterogeneity of the adsorbent surface, Ce—equilibrium DY50 concentration (mg/L), qe—amount of DY50 adsorbed at equilibrium (mg/g).
The values of the Freundlich parameters were calculated from the plots log qe vs. log Ce.
The value 1/n > 1 indicates a weak bond between the adsorbate and adsorbent molecules while a value of 1/n < 1 points out to a strong adsorption bond as a result of strong intermolecular attractions in the adsorbent layers [58].

2.5.3. The Attenuated Total Reflectance Fourier Transform Infrared Spectroscopy

To investigate the dye adsorption mechanism by the anion exchanger, the attenuated total reflectance Fourier transform infrared spectroscopy (ATR-FT-IR) technique was used (Cary 630, Agilent, Santa Clara, CA, USA). The spectra of anion exchangers before and after DY50 sorption were recorded in the range of 600–3500 cm−1.

2.6. Desorption Experiments

Samples of resins A21, A23 and A24 (0.5 g), loaded with DY50 (50 mg/g), were shaken with 50 mL of various regenerant solutions: 1 M NaOH, 1 M HCl, 1 M NaCl and their mixture with 50% v/v methanol. The suspensions were stirred for 3 h at a constant speed (180 cycle/min) and amplitude (A = 8). The concentration of desorbed dye was determined by absorbance analysis. The dye desorption rate (% D) was calculated from the Equation:
D =   m d e s m a d s   × 100 %
where mdes—mass of DY50 desorbed (mg), mads—mass of DY50 adsorbed (mg).

3. Results and Discussion

3.1. Effects of Initial Dye Concentration and Phase Contact Time

Kinetic sorption studies of DY50 on A21, A23 and A24 anion exchangers of different matrices were estimated using varying phase contact times (1–240 min) for three different initial dye concentrations (100 mg/L, 300 mg/L, 500 mg/L) at room temperature with a constant mass of anion exchanger 0.5 g and a volume of dye solution (50 mL). An increase in the initial dye concentration from 100 to 500 mg/L causes an increase in the amount of dye adsorbed by the anion exchanger (qt) as presented in Figure 3.
In the case of the dye solution of 100 mg/L concentration, the time needed for its removal is quite short, being 10 min, 30 min and 180 min for A23, A24 and A21, respectively. At the initial stage, adsorption is rapid, which indicates the presence of many readily accessible ion exchange sites on the surface of the anion exchanger. When the adsorption of the outer surface reaches saturation, the DY50 anions enter the pores of the anion exchanger and are adsorbed in the inner surface of the particle. After this time, the equilibrium is reached without a significant change of qt values. With an increase in the amount of dye in the aqueous phase, the time needed to reach equilibrium increases; at the dye concentration of 500 mg/L it is equal to 70 min, 190 min and 220 min for A24, A23 and A21, respectively. DY50 sorption on A23 was slow compared to that on A21 and A24. For the initial concentrations of DY50 at the level of 100, 300 and 500 mg/L, qt was 9.9 mg/g, 29.3 mg/g and 43.2 mg/g, respectively. A similar phenomenon was observed by Wawrzkiewicz [37] in the process of C.I. Direct Red 75 sorption on the weakly basic (Amberlite IRA67) and strongly basic (Amberlite IRA458) anion exchangers of polyacrylic matrix from an aqueous solution. The time needed to reach equilibrium lengthened with the increasing concentration of dye in the water phase and for the initial concentrations of 100 mg/L, 500 mg/L and 1000 mg/L it was 30 min, 60 min and 120 min using Amberlite IRA67 and 40 min, 60 min and 120 min using Amberlite IRA458.

3.2. Kinetic Parameters of Sorption

Knowledge of adsorption kinetics allows for direction of the entire adsorption process so that its effectiveness is as high as possible. The mechanism of DY50 adsorption on AA21, A23 and A24 was described using the three most common models: pseudo-first order, pseudo-second order and intraparticle diffusion. These equations are based on the definition of the amount of substance adsorbed by a mass unit of adsorbent in a unit of time. Based on the calculated kinetic parameters, listed in Table 2, it is possible to determine which model is most compatible.

3.2.1. Pseudo First-Order Model

The Lagergren equation was not used to describe the DY50 sorption kinetics on anion exchange resins of different matrices such as A21, A23 and A24 due to the small values of the determination coefficients R2 being in the range 0.779–0.907 for A24, 0.915–9.989 for A21 and 0.257–0.944 for A23. In addition, the calculated equilibrium capacities were much lower than those determined experimentally (Figure 3 and Table 2). Moreover, the graph log (qeqt) vs. t was not linear.

3.2.2. Pseudo Second-Order Model

Figure 4 shows the linearized form of the pseudo-second order kinetic dependence for DY50 sorption from a solution of different initial concentrations on A21, A23 and A24. If the kinetics of the sorption process is described by means of the pseudo-second order model, the plot t/qt vs. t gives a linear relationship from which qe and k2 can be calculated and it is not necessary to know any parameter beforehand. In the case of the pseudo second order model, the k2 constant decreases as the concentration of dye in the aqueous solution increases. Based on the data presented in the Table 2 and Figure 3 and Figure 4, it can be concluded that the PSO model received the best fit to the experimental data. This is indicated by not only high values of the determination coefficient R2 (0.999), but also by the values of qe,exp, which are very similar to those calculated from the PSO equation. Applicability of PSO model for description of experimental data in the DY50-cotton fiber [60] and DY50-natural clay and organoclay adsorbents systems was described in paper by Ismail et al. [60] and Khodaeer [61] and is also summarized in Table 3.
Table 3. The kinetic and equilibrium parameters of DY50 sorption on various adsorbents based on the literature review.
Table 3. The kinetic and equilibrium parameters of DY50 sorption on various adsorbents based on the literature review.
SorbentKinetic StudiesEquilibrium StudiesRef.
Cotton fibrePSO,
k2 = 11.4 × 102 − 12.95 × 102 g/mg min,
qe = 0.684–0.965 mg/g,
C0 = 113.4 mg/L, T = 40–90 °C,
pH = 7.03, a.d. = 1 g/30 mL
Langmuir model,
qe = 4.4–5.8 mg/g, T = 40–90 °C,
pH = 7.03, a.d. = 1 g/30 mL
[60]
Organoclay adsorbentPSO,
k2 = 0.087 g/mg min, qe = 1.66 mg/g,
C0 = 50 mg/L, T = 25 °C,
pH = 3, a.d. = 0.2 g/50 mL
Freundlich model,
k = 0.617 mg1–1/n L1/n/g, n = 1.93,
pH = 3, a.d. = 0.2 g/50 mL
[61]
Sugarcane bagasse biomasPSO,
k2 = 0.0051 g/mg min, qe = 18.8 mg/g,
C0 = 50 mg/L, T = 30 °C,
pH = 2, a.d. = 0.05 g/50 mL
Langmuir model,
qe = 51.8 mg/g, T = 30 °C,
pH = 2, a.d. = 0.05 g/50 mL
[62]
Sugarcane bagasse biomas treated with polyethyleneiminePSO,
k2 = 0.012 g/mg min, qe = 20.7 mg/g,
C0 = 50 mg/L, T = 30 °C,
pH = 2, a.d. = 0.05 g/50 mL
Langmuir model,
qe = 68.4 mg/g, T = 30 °C,
pH = 2, a.d. = 0.05 g/50 mL
Rice strawNo model,
qe = 2.8–1.0 mg/g, pH = 4–10,
C0 = 100 mg/L, t = 8 days,
a.d. = 0.5 mg/50 mL
Freundlich model,
k = 0.28–0.77 mg1−1/n L1/n/g,
n = 1.34–1.86,
pH = 4–10, a.d. = 0.5 mg/50 mL
[63]
Radiation-modified maize starch/acrylonitrileNo model,
qe = 2.8–1.2 mg/g, pH = 4–10,
C0 = 100 mg/L, t = 8 days,
a.d. = 0.5 mg/50 mL
Freundlich model,
k = 0.33–0.66 mg1−1/n L1/n/g,
n = 1.74–2.1, pH = 4–10,
a.d. = 0.5 mg/50 mL
Marble powderPSO,
k2 = 0.81–35.31 g/mg min,
qe = 1.39–26.3 mg/g,
C0 = 10–60 mg/L, T = 25 °C,
a.d. = 2 g/L
Langmuir model,
qe = 50 mg/g, T = 25 °C,
a.d. = 2 g/L
[64]
Amberlite XAD7
(PA non functionalyzed resin)
PSO,
k2 = 0.015–2.34 g/mg min,
qe = 0.9–9.4 mg/g,
C0 = 10–100 mg/L, T = 25 °C
a.d. = 0.5 g/50 mL
Langmuir model,
qe = 27.9 mg/g, T = 25 °C,
a.d. = 0.5 g/50 mL
[48]
Amberlite IRA958
(PA with quaternary ammonium groups)
PSO,
k2 = 0.020–0.036 g/mg min,
qe = 10–50 mg/g,
C0 = 100–500 mg/L, T = 25 °C
a.d. = 0.5 g/50 mL
Langmuir model,
qe = 534.8 mg/g, T = 25 °C,
a.d. = 0.5 g/50 mL
Lewatit VPOC1064
(PS-DVB non functionalyzed resin)
PSO,
k2 = 0.016–0.41 g/mg min,
qe = 0.9–6.8 mg/g,
C0 = 10–100 mg/L, T = 25 °C
a.d. = 0.5 g/50 mL
Langmuir model,
qe = 19.4 mg/g, T = 25 °C,
a.d. = 0.5 g/50 mL
[48]
Amberlite IRA900
(PS-DVB with quaternary ammonium groups)
PSO,
k2 = 0.01–0.06 g/mg min,
qe = 7.7–39.1 mg/g,
C0 = 10–500 mg/L, T = 25 °C
a.d. = 0.5 g/50 mL
Langmuir model,
qe = 487.2 mg/g, T = 25 °C,
a.d. = 0.5 g/50 mL
Amberlyst A23
Amberlyst A21
Amberlyst A24
PSO, see Table 2qe = 284.3 mg/g
qe = 610.9 mg/g
qe = 666.5 mg/g
Langmuir model,
See Table 4
This study
Where PSO—pseudo-second order model, k2—pseudo-second order rate constant, qe—equilibrium capacity, C0—initial DY50 concentration, T—temperature, a.d.—adsorbent dosage, kF and n—Freundlich isotherm parameters, t—equilibrium time, PA—polyacrylate, PS-DVB—polystyrene-divinylbenzene.
Table 4. The isotherm parameters determined from the Langmuir and Freundlich equations in the DY50-A21, DY50-A23 and DY50-A24 adsorption systems.
Table 4. The isotherm parameters determined from the Langmuir and Freundlich equations in the DY50-A21, DY50-A23 and DY50-A24 adsorption systems.
Anion Exchangerqe,exp
(mg/g)
LangmuirFreundlich
R2Q0 (mg/g)b (L/mg)R2n1/nkF
(mg1−1/n L1/n/g)
A24666.50.998652.90.08340.7266.6610.150239.5
A21610.90.991577.50.04600.3083.5260.28484.3
A23284.30.990290.30.00350.7991.8890.5294.8

3.2.3. Weber and Morris Intraparticle Diffusion Model

Figure 5 shows the applicability of intraparticle diffusion model in description of DY50 adsorption on A21, A23 and A24. The kinetic parameters calculated from the Weber-Morris equation are given in Table 2. The graphs illustrate multi-linearity, the adsorption data can be fitted with two or three straight lines. The first part of the graph can be attributed to the diffusion effect by the boundary layer while the second linear part is associated with intraparticle diffusion (diffusion into the polymer network) [65]. The slope of the second linear part is characterized by the speed parameter corresponding to the intraparticle diffusion. The values of intraparticle diffusion rate constants ki increase in the range 0.441–1.732 g/mg·min0.5, 0.923–5.612 g/mg·min0.5 and 0.560–3.184 g/mg·min0.5 with the increasing initial concentration of DY50 from 100 to 500 mg/L for A24, A21 and A23, respectively. This may be associated with a driving force that increases with the increasing dye concentration in the solution and contributes to an increase in the dye diffusion rate. The values of determination coefficients R2 are in the range of 0.809–0.946, 0.874–0.987 and 0.529–0.998 for A24, A21 and A23, respectively.

3.3. Effect of Salts and Surfactants Presence on DY50 Adsorption

Industrial wastewaters generated during various technological processes carried out in textile factories, paper and tanneries contain auxiliary agents such as salts, acids, bases, surfactants, oxidants and reducing agents. They get into the sewages in the amount in which they were used in the dyeing baths and do not wear out in the dyeing process of the fiber, as opposed to dyes. Depending on the type and nature of the fiber, as well as the intensity of coloration, the amount of dyes and auxiliaries used are different. The compositions of dyeing baths are summarized in Table 5 [66,67].
The main component of the dyeing bath is water characterized by a relatively high surface tension; therefore, it is necessary to introduce surfactants which reduce surface and interfacial tension [66,67]. The addition of surfactants will cause that water will moisten the fiber surface better, which will facilitate the dyes’ contact with this surface. Interactions between the surfactant and the dye molecules in the aqueous solution are of great importance in the process of water treatment and reuse [66,67,68,69,70].
Therefore, it is necessary to assess the effects of various salt and surfactant amounts on the adsorption of dyes. The influence of auxiliaries on DY50 sorption efficiency on the A21, A23 and A24 anion exchangers was studied using the static method in the systems containing 0.5 g of anion exchangers and 50 mL of DY50 solution of 500 mg/L concentration while the concentration of salts and surfactants changed from 5 to 25 g/L of Na2SO4 or Na2CO3 and from 0.1 to 0.5 g/L of SDS or TX-100. The amount of dye adsorbed by the anion exchanger after 15 min of phase contact time was determined. In the studies a decrease of qt was observed in the anion exchangers-DY50 systems with an increase of Na2CO3 concentration (Figure 6), however the least pronounced impact of carbonate presence of the uptake effectiveness can be observed for the anion exchange resin of polyacrylic matrix, i.e., A24. The decrease in the sorption capacity together with the increase of sulphate concentration in the system may be caused by competitive sorption of sulfate ions compared with the anionic form of the dye.
The presence of SDS and TX-100 (0.1–0.5 g/L) in the dye solution resulted in an increase in qt values using the phenol-formaldehyde resin A23 during sorption test as it is characterized by the highest value of the total capacity (1.8 eq/L as declared by the manufacturer), resulting in a larger concentration of the –N(CH3)2 functional groups compared to the other anion exchangers (A21, A24). The interactions between dye anion and a surfactant with the same charge contribute to electrostatic repulsion in the aqueous phase and favors adsorption of DY50 anion in the resin phase in dye-surfactant systems. The presence of these surfactants caused a decrease in the dye adsorption on the polystyrene A21 and polyacrylic A24 anion exchangers which suggests that competitive sorption of the anionic surfactant compared to the dye anions is more pronounced, as presented in Figure 7. Therefore, the type of anion exchanger matrix composition plays an important role in dye sorption from solutions containing auxiliaries such as surfactants. Notwithstanding this, the hydrophobic interactions between the DY50 and the SDS or TX-100 are dominate during DY50 adsorption on A23. The nonionic TX-100 could form aggregates with dye molecules that were less soluble in the aqueous phase and enhanced their adsorption in the resin phase [66].
Removal of organic compounds such as dyes in the presence of surfactants by anion exchangers is a complex process due to the several adsorption phenomena (ion exchange reaction, molecular interactions and driving forces) and significant impact of hydrophobic interaction [71,72,73]. The solute (dye, surfactants)-solvent (water) interaction is of great importance, too, in influencing the sorption affinity of organic compound such as dye [71]). The enhanced equilibrium uptake of organic compounds by the resins was broadly discussed considering enthalpy and entropy changes in terms of so-called entropy-assisted sorption, screening effect and de-solvation of molecules by Rahmani and Mohseni [71], Li and SenGupta [72,73] and Stevenson et al. [74].

3.4. Adsorption Isotherms

3.4.1. Langmuir Isotherm

It was found that the isotherms were linear over the entire range of tested concentrations, and R2 values equaled to 0.998, 0.991 and 0.990 for A24, A21 and A23, respectively (Table 4). The Langmuir equation represents a better fit of experimental data than the Freundlich equation (Figure 8). The values of Langmuir parameters largely depended on the type of anion exchanger matrix. The monolayer adsorption capacity of A24 was found to be 666.5 mg/g and was larger compared to A23 (Q0 = 284.3 mg/g). A high b value suggests a steep isotherm onset and indicates a high affinity of the anion exchanger for the dye [14]. The b constants for A24, A21 and A23 were 0.0834, 0.0460 and 0.0035, respectively. The highest value was obtained for polyacrylic Amberlyst A24 suggesting strong direct dye binding. The dimensionless separation factor RL calculated from Equation (7) for the Langmuir type adsorption process were in the range 0 and 1 as can be seen in Figure 8.
Research conducted by Wawrzkiewicz et al. [49] concerning DY50 removal using the polyacrylic (Amberlite IRA478, Amberlite IRA958) and polystyrene (Lewatit MonoPlus MP68, Amberlite IRA900) anion exchange resins of different basicity of functionalities as well as non-functionalized polymeric resins of polyacrylic and polystyrene matrices (Amberlite XAD7, Lewatit VPOC1064) confirm that this process depends on the composition and the structure of the anion exchanger. The highest sorption capacity towards DY50 was exhibited by the polyacrylic anion exchanger Amberlite IRA 958 of the quaternary ammonium functional groups and it was 534.8 mg/g. Moreover, in the case of adsorption of direct dyes on polacrylic anion exchangers, one can also notice much greater efficiency of the adsorption process using weakly basic resins compared to strongly basic ones, which was confirmed in paper [37] describing adsorption of C.I. Direct Red 75 on the weakly and strongly basic gel resins of polyacrylic skeletons such as Amberlite IRA 67 and Amberlite IRA 458.

3.4.2. Freundlich Isotherm

The values of determination coefficients R2 for the Freundlich isotherm are lower than for Langmuir isotherm and are equal to 0.726, 0.308 and 0.799 for A24, A21 and A23, respectively. The values 1/n were smaller than 1, which indicates that the dye was preferably adsorbed (Table 4). In addition, kF, that is the relative sorption capacity (approximate parameter of adsorption strength), was also determined. The highest kF value was obtained for A24 being 239.5 mg1−1/n L1/n/g. For A21 and A23, kF were calculated as 84.3 mg1−1/n L1/n/g and 4.8 mg1−1/n L1/n/g, respectively. The greater the value of the kF parameter, the greater the adsorption capacity [64].

3.4.3. Adsorption Mechanism

The anion exchangers used for DY50 sorption have functional groups of the weak base nature, i.e., –N(CH3)2. Their sorption capacities declared by the manufacturer correspond to the functional group contents and are about 1.3, 1.6 and 1.8 eq/L for A21, A24 and A23, respectively. If the retention mechanism of DY50 occurred solely by anion exchange reaction, then A23 resin should exhibit the highest sorption capacity for DY50. However, the determined sorption capacity based on the isotherm models used is 290.3 mg/g (which is close to the experimentally determined value of 284.3 mg/g) and is the lowest among the studied resins. The mechanism of dye retention in the anion exchanger phase is a result of the formation of an ionic pair between the functional groups of the anion exchangers and the sulphonic groups of the dye to a considerable extent (Figure 9) and can be described by the following reaction:
n R C H 2 N H ( C H 3 ) 2 + C l + R ( S O 3 ) n [ R C H 2 N H ( C H 3 ) 2 + ] n ( S O 3 ) n R + n C l
where R C H 2 N H ( C H 3 ) 2 + C l —weakly basic anion exchanger in the chloride form, R ( S O 3 ) n —anionic form of dye of n sulphonic groups.
However, the interactions between the delocalized electrons of benzene rings in the anion exchanger matrix and the delocalized electrons of dye aromatic rings (π-π type interactions), van der Waals and hydrogen bonds known as non-specific interactions can also be considered.
This suggests that the adsorption of dyes is dependent on the composition of the anion exchanger matrix. The qe value of A24 possessing the polyacrylic matrix was found to be 666.5 mg/g. The polystyrene resin A21 adsorbed 610 mg of DY50 per gram, while the phenol- formaldehyde anion exchanger adsorbed dye in the amount of two times less. Resin of an acrylic matrix demonstrates beneficial exchange equilibria and kinetics towards large organic ions such as dyes compared with the styrenic ones [75]. A simplistic explanation for this lies with the greater hydrophilic nature of the aliphatic skeletal structure of the acrylic matrix, which in turn means van der Waals type interactions between the resin matrix and the hydrocarbon structure of an organic counter-ion (i.e., dye anion). The larger the organic anion the greater seems the affinity for an anion exchanger.
Another parameter that may influence the sorption capacity values is the matrix structure. Two of the studied anion exchangers, i.e., A21 and A23 have macroporous structure while A24 has gel structure. There are no actual internal macroscopic structural pores (holes or channels) in gel type resin and it can be likened to a dense electrolyte-gel within which the dissociated counter-ions are able to diffuse. The non-uniform distribution of crosslinking and functional groups in gel type resin implies the rise of regions showing different structural characteristics within a given resin bead, and consequently non-symmetrical strains within the structure. Additionally, during aqueous conditioning and rinses, some of the stresses and strains within a resin are induced which enhanced the hydrophilic nature. Macroporous resins, being highly crosslinked, possess quite a heterogeneous distribution of structurally dense and tortuous regions of high charge density therefore the rate of exchange can be discernibly slower when compared with gel equivalents [75]. Since macroporous resins possess real pores, the number of functional groups per unit dry weight of matrix is usually less than that for an equivalent gel product as reflected by their slightly lower dry weight capacities. This, in turn, can affect the dye retention capability. Slightly less important parameters affecting dye retention efficiency will be the physical features of the anion exchangers such as grain size, uniformity coefficient and sphericity [75].
Taking into consideration assumptions of the Langmuir and Freundlich models, calculated isotherm parameters, the flat structure of direct dye and properties of the anion exchange resins it can be stated that the adsorption of DY50 on A21, A23 and A24 has a complex nature. The mechanism of dye binding by anion exchangers depends on the chemical structure of the dye, the type and number of chromophore and auxochrome groups, as well as the structure and type of adsorbents.
For a more accurate analysis of DY50 retention by the A21, A23 and A24 anion exchangers there were recorded ATR-FT-IR. The spectra before and after DY50 sorption using the polystyrene (A21) and polyacrylic (A24) resins are shown in Figure 10. There were many bands characteristic for the anion exchangers matrix [76]. For example, the broad bands at 3374 cm−1 and 3271 cm−1 can be attributed to –OH stretching vibrations connected mainly with residual hydration water in A21 and A24, respectively. This band is particularly visible in the case of the polyacrylic anion exchanger, the matrix of which is more hydrophilic in comparison to the polystyrene anion exchanger, which is rather hydrophobic. There are low-intensity bands related to the stretching vibrations of the C-H in aromatic ring in the range 3100–3000 cm−1. The bands at 2800–3000 cm−1 refer to stretching vibrations of C-H in >CH– and –CH2–. The stretching vibrations C–C of benzene rings and waging or twist of methylene in amine functionalities can be found at 1420–1480 cm−1 and 1250–1350 cm−1, respectively. Vibrations at 1000–1100 cm−1 can be attributed to C–N stretching vibrations in –NH–CH3 as well as –CH3 rocking in –N(CH3)2. Bands at 1085, 1145 and 1013 cm−1 are confirmation of a new symmetric and asymmetric vibration of the sulfonic –SO3¯ and –S=O groups in the analyzed spectra of the anion exchangers after DY50 sorption.

3.5. Impact of Solution pH

The effect of the initial solution pH on the adsorption of DY50 on A21, A23 and A24 was investigated by shaking 0.5 g of the resin with 50 mL of a solution containing 500 mg/L of dye. The pH of the solution is a very important parameter controlling the sorption processes [77]. The ion exchange process depends on the acidity or alkalinity of the solution. A21, A23 and A24 are weakly basic anion exchangers for which the most effective working environment is the range of pH = 1–7. A slight decrease in sorption capacity with an increase in solution pH was noted in all cases, which can be explained by the protonation of functional groups at pH below 8–9 (Figure 11). This indicates that the mechanism of DY50 adsorption on the weakly basic anion exchangers is not only the result of interaction between resins functional groups and sulphonic groups of the dye.

3.6. Desorption

Various reagents were tested in the experiments to find the most effective eluate: 1 M NaOH, 1 M HCl, 1 M NaCl, 50% v/v CH3OH, 1 M NaOH + 50% v/v CH3OH, 1 M HCl + 50% v/v CH3OH and 1 M NaCl + 50% v/v CH3OH. Figure 12 shows the results of DY50 desorption from the weakly basic anion exchangers A21, A23 and A24. The highest yield of reaction was observed during DY50 desorption from A23 and A24 using 1 M NaOH + 50% v/v CH3OH (18.76% and 18.72% for A24 and A23, respectively). It is also acceptable to use 1 M NaOH for A23 (13.20%) or 1 M NaCl + 50% CH3OH for A24 (14.56%). Regenerating agents such as 1 M NaCl, 1 M HCl or 50% CH3OH turn out to be ineffective (Figure 12). Comparing the values of the desorption degree in aqueous and methanol solutions, it can be concluded that the use of methanol increases the desorption efficiency. The mechanism of DY50 sorption of the weakly basic resins occurs not only through ion exchange but also as a result of strong chemical adsorption. The same conclusions were drawn in case of C.I. Direct Red 75 removal from the weakly (Amberlite IRA67) and strongly basic (Amberlite IRA458) anion exchange resins as well as C.I. Reactive Black 5, Orange 16, Blue 15, Red 198 and Red 120 from weakly (MP62) and strongly (S6328a) basic resins [37,49,78].

4. Conclusions

Applicability of the weakly basic anion exchangers of different matrices composition (polyarylic Amberlyst A24, polystyrene Amberlyst A21 and phenol-formaldehyde Amberlyst A23) in C.I. Direct Yellow 50 dye removal was investigated and described. Experimental parameters such as dye initial concentration, phase contact time and auxiliaries addition (Na2SO4, Na2CO3, SDS and TX-100) on dye removal efficiency are important parameters influencing the yield of dye removal. The largest sorption capacity for DY50 was exhibited by Amberlyst A24 (Q0 = 666.5 mg/g) and Amberlyst A21 (Q0 = 610.9 mg/g). Taking into account the composition of the matrix of anion exchange resins, the following series of sorbent usefulness can be presented:
polyacrylic > polystyrene > phenol-formaldehyde.
Kinetics sorption parameters were described by the pseudo-second order model and the equilibrium studies fitted well to the Langmuir equation. The resins regeneration can be performed with a yield of no more than 20% using 1 M NaOH/1 M NaCl in 50% v/v methanol. The anion exchangers can be considered as promising sorbents for removal of impurities such as dyes from aqueous solutions.

Author Contributions

Conceptualization, M.W.; Investigation, E.P.-A.; Methodology, M.W.; Software, M.W. and E.P.-A.; Writing—original draft, M.W. and E.P.-A.; Writing—review & editing, M.W. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available in this article.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Rijsberman, F.R. Water Scarcity: Fact or Fiction. Agric. Water Manag. 2006, 80, 5–22. [Google Scholar] [CrossRef] [Green Version]
  2. Ahuja, S. Handbook of Water Purity and Quality; IWA Publishing: London, UK, 2009. [Google Scholar]
  3. Anielak, A.M. Chemiczne i Fizykochemiczne Oczyszczanie Ścieków; PWN: Warszawa, Poland, 2002. [Google Scholar]
  4. Maciejewska-Nowak, K. Usuwanie barwników ze ścieków przemysłowych. Ochr. Sr. 1986, 488/4, 17–23. [Google Scholar]
  5. Al-Asheh, S.; Banat, F.; Abu-Aitah, L. Adsorption of phenol using different types of activated bentonites. Sep. Purif. Technol. 2003, 33, 1–10. [Google Scholar] [CrossRef]
  6. Boni, M.R.; Chiavola, A.; Marzeddu, S. Application of biochar to the remediation of Pb-contaminated solutions. Sustainability 2018, 10, 4440. [Google Scholar] [CrossRef] [Green Version]
  7. Mahmoodi, N.M.; Arami, M.J. Degradation and toxicity reduction of textile wastewater using immobilized titania nanophotocatalysis. Photochem. Photobiol. B 2009, 94, 20–24. [Google Scholar] [CrossRef]
  8. Mahmoodi, N.M.; Arami, M.J. Modeling and sensitivity analysis of dyes adsorption onto natural adsorbent from colored textile wastewater. Appl. Polym. Sci. 2008, 109, 4043–4048. [Google Scholar] [CrossRef]
  9. Mahmoodi, N.M.; Arami, M.J. Bulk phase degradation of Acid Red 14 by nanophotocatalysis using immobilized titanium(IV) oxide nanoparticles. Photochem. Photobiol. A 2006, 182, 60–66. [Google Scholar] [CrossRef]
  10. Bemska, J.; Bilińska, L.; Ledakowicz, S. Analiza ścieków włókienniczych pod kątem wyboru najlepszej metody ich oczyszczania. In Nauka i Przemysł–Metody Spektroskopowe, Nowe Wyzwania i Możliwości; Hubicki, Z., Ed.; Uniwersytet Marii Curie-Skłodowskiej w Lublinie Wydział Chemii: Lublin, Poland, 2012. [Google Scholar]
  11. Zhou, Y.; Lu, J.; Liu, Y. Recent advences for dyes removal using novel adsorbents: A review. Environ. Pollut. 2019, 252, 352–365. [Google Scholar] [CrossRef]
  12. Yagub, M.T.; Sen, T.K.; Afroze, S.; Ang, H.M. Dye and its removal from aqueous solution by adsorption: A review. Adv. Colloid Interface Sci. 2014, 209, 172–184. [Google Scholar] [CrossRef]
  13. Tkaczyk, A.; Mitrowska, K.; Posyniak, A. Synthetic organic dyes as contaminants of the aquatic environment and their implications for ecosystems: A review. Sci. Total Environ. 2020, 717, 137222. [Google Scholar] [CrossRef]
  14. Arica, M.Y.; Bayramŏglu, G. Biosorption of Reactive Red-120 dye from aqueous solution by native and modified fungus biomass preparations of Lentinus sajorcaju. J. Hazard. Mater. 2007, 149, 499–507. [Google Scholar] [CrossRef]
  15. Aksu, Z.; That, A.I.; Tunç, O. A comperative adsorption/biosorption study of Acid Blue 161: Effect of temperature on equilibrium and kinetic parameters. Chem. Eng. J. 2008, 142, 23–39. [Google Scholar] [CrossRef]
  16. Cho, I.H.; Zoch, K.D. Photocatalytic degradation of azo dye (Reactive Red 120) in TiO2/UV system: Optimization and modeling using response surface methodology (RSM) based on the central composite design. Dyes Pigments 2007, 75, 533–543. [Google Scholar] [CrossRef]
  17. Tsui, S.M.; Chu, W. Photocatalytic degradation of dye pollutants in the presence of acetone. Water Sci. Technol. 2001, 44, 173–180. [Google Scholar] [CrossRef] [PubMed]
  18. Lee, J.W.; Choi, S.P.; Thiruvenkatachari, R.; Shim, W.G.; Moon, H. Evaluation of the performance of adsorption and coagulation process for the maximum removal of reactive dyes. Dyes Pigments 2006, 69, 196–203. [Google Scholar] [CrossRef]
  19. Golob, V.; Vinder, A.; Simoni, M. Efficiency of the coagulation/flocculation method for the treatment of dyebath effluents. Dyes Pigments 2005, 67, 93–97. [Google Scholar] [CrossRef]
  20. Shuang, C.; Wang, J.; Li, H.; Li, A.; Zhou, O. Effect of the chemical structure of anion exchange resin on the adsorption of humic acid: Behavior and mechanism. J. Colloid Interface Sci. 2015, 437, 163–169. [Google Scholar] [CrossRef]
  21. Mohd Salleh, M.A.; Mahmoud, D.K.; Wan Abdul Karim, W.A.; Idris, A. Cationic and anionic dye adsorption by agricultural solid wastes: A comprehensive review. Desalination 2011, 280, 1–13. [Google Scholar] [CrossRef]
  22. Bayramoglu, G.; Altintas, B.; Yakup Arica, M. Adsorption kinetics and thermodynamic parameters of cationic dyes from aqueous solutions by using a new strong cation-exchange resin. Chem. Eng. J. 2009, 152, 339–346. [Google Scholar] [CrossRef]
  23. Valix, M.; Cheung, W.H.; McKay, G. Preparation of activated carbon using low temperaturę carbonisation and physical activation of high ash raw bagasse for acid dye adsorption. Chemosphere 2004, 56, 493–501. [Google Scholar] [CrossRef]
  24. Thinakaran, N.; Panneerselvam, P.; Baskaralingam, P.; Elango, D.; Sivanesan, S. Equilibrium and kinetic studies on the removal of acid red 114 from aqueous solutions using activated carbons prepared from seed shells. J. Hazard. Mater. 2008, 158, 142–150. [Google Scholar] [CrossRef] [PubMed]
  25. Akmil-Basar, C.; Onal, Y.; Kilicer, T.; Eren, D. Adsorptions of high concentration malachite green by two activated carbons having different porous structures. J. Hazard. Mater. 2005, 127, 73–80. [Google Scholar] [CrossRef] [PubMed]
  26. Konicki, W.; Cendrowski, K.; Chen, X.; Mijowska, E. Application of hollow mesoporous carbon nanospheres as an high effective adsorbent for the fast removal of acid dyes from aqueous solutions. Chem. Eng. J. 2013, 228, 824–833. [Google Scholar] [CrossRef]
  27. Seifikar, F.; Azizian, S.; Sillanpää, M. Microwave-assisted synthesis of carbon powder for rapid dye removal. Mater. Chem. Phys. 2020, 250, 123057. [Google Scholar] [CrossRef]
  28. Thamer, B.M.; Aldalbahi, A.; Moydeen, M.; El-Hamshary, H.; Al-Enizi, A.M.; El-Newehy, M.H. Effective adsorption of coomassie brilliant blue dye using poly(phenylene diamine)grafted electrospun carbon nanofibers as a novel adsorbent. Mater. Chem. Phys. 2019, 234, 133–145. [Google Scholar] [CrossRef]
  29. Boni, M.R.; Chiavola, A.; Marzeddu, S. Remediation of lead-contaminated water by Virgin Coniferous wood biochar adsorbent: Batch and column application. Water Air Soil Pollut. 2020, 231, 171. [Google Scholar] [CrossRef]
  30. Cukierman, A.L.; Nunell, G.V.; Bonelli, P.R. Removal of emerging pollutants from water through adsorption onto carbon-based materials. In Emerging and Nanomaterial Contaminants in Wastewater: Advanced Treatment Technologies; Elsevier Inc.: Amsterdam, The Netherlands, 2019. [Google Scholar] [CrossRef]
  31. Ahmad, A.A.; Hameed, B.H.; Aziz, N. Adsorption of direct dye on palm ash: Kinetic and equilibrium modeling. J. Hazard. Mater. 2007, 141, 70–76. [Google Scholar] [CrossRef]
  32. Bulut, Y.; Aydın, H. A kinetics and thermodynamics study of methylene blue adsorption on wheat shells. Desalination 2006, 194, 259–267. [Google Scholar] [CrossRef]
  33. Hong, G.B.; Wang, Y.K. Synthesis of low-cost adsorbent from rice bran for the removal of reactive dye based on the response surface methodology. Appl. Surf. Sci. 2017, 423, 800–809. [Google Scholar]
  34. Kallel, F.; Chaari, F.; Bouaziz, F.; Bettaieb, F.; Ghorbel, R.; Chaabouni, S.E. Sorption and desorption characteristics for the removal of a toxic dye, methylene blue from aqueous solution by a low cost agricultural by-product. J. Mol. Liq. 2016, 219, 279–288. [Google Scholar] [CrossRef]
  35. Zou, W.; Zhao, L.; Zhu, L. Efficient uranium(VI) biosorption on grapefruit peel: Kinetic study and thermodynamic parameters. J. Radioanal. Nucl. Chem. 2012, 292, 1303–1315. [Google Scholar] [CrossRef]
  36. Asfaram, A.; Fathi, M.R.; Khodadoust, S.; Naraki, M. Removal of Direct Red 12B by garlic peel as a cheap adsorbent: Kinetics, thermodynamic and equilibrium isotherms study of removal. Spectrochim. Acta A 2014, 127, 415–421. [Google Scholar] [CrossRef] [PubMed]
  37. Wawrzkiewicz, M. Comparison of gel anion exchangers of various basicity in direct dye removal from aqueous solutions and wastewaters. Chem. Eng. J. 2011, 173, 773–781. [Google Scholar]
  38. Srivatsav, P.; Sriharsha Bhargav, B.S.; Shanmugasundaram, V.; Arun, J.; Panchamoorthy Gopinath, K.; Bhatnagar, A. Biochar as an eco-friendly and economical adsorbent for the removal of colorants (dyes) from aqueous environment: A review. Water 2020, 12, 3561. [Google Scholar] [CrossRef]
  39. Afroze, A.; Kanti Sen, T. A review on heavy metal ions and dye adsorption from water by agricultural solid waste adsorbents. Water Air Soil Pollut. 2018, 229, 225. [Google Scholar] [CrossRef]
  40. Aisyah Ishak, S.; Fared Murshed, M.; Md Akil, H.; Ismail, N.; Zalifah Md Rasib, S.; Ali Saeed Al-Gheethi, A. The application of modified natural polymers in toxicant dye compounds wastewater: A review. Water 2020, 12, 2032. [Google Scholar] [CrossRef]
  41. Argumedo-Delira, R.; Gómez-Martínez, M.J.; Uribe-Kaffure, R. Trichoderma biomass as an alternative for removal of congo red and malachite green industrial dyes. Appl. Sci. 2021, 11, 448. [Google Scholar] [CrossRef]
  42. Duhan, M.; Kaur, R. Nano-structured polyaniline as a potential adsorbent for methylene blue dye removal from effluent. J. Compos. Sci. 2021, 5, 7. [Google Scholar] [CrossRef]
  43. Ma, C.M.; Hong, G.B.; Wang, Y.K. Performance evaluation and optimization of dyes removal using rice bran-based magnetic composite adsorbent. Materials 2020, 13, 2764. [Google Scholar] [CrossRef]
  44. Available online: Samcotech.com/how-much-does-it-cost-to-buy-maintain-and-dispose-of-ion-exchange-resins/ (accessed on 15 January 2021).
  45. Zong, L.; Liu, F.; Chen, D.; Zhang, X.; Ling, C.; Li, A. A novel pyridine based polymer for highly efficient separation of nickel from high-acidity and high-concentration cobalt solutions. Chem. Eng. J. 2018, 334, 995–1005. [Google Scholar] [CrossRef]
  46. Sigma-Aldrich. Amberlite and Amberlyst Resins-Technical Information Bulletin; Sigma-Aldrich: St. Louis, MO, USA, 2013. [Google Scholar]
  47. Dąbrowski, A.; Hubicki, Z.; Podkościelny, P.; Barczak, M. Selektywne usuwanie jonów metali ciężkich z wód oraz ścieków przemysłowych poprzez wymianę jonową. Przem. Chem. 2006, 85, 232–241. [Google Scholar]
  48. Greluk, M.; Hubicki, Z. Effect of basicity of anion exchangers and number and positions of sulfonic groups of acid dyes on dyes adsorption on macroporous anion exchangers with styrenic polymer matrix. Chem. Eng. J. 2013, 215–216, 731–739. [Google Scholar] [CrossRef]
  49. Wawrzkiewicz, M.; Polska-Adach, E.; Hubicki, Z. Polacrylic and polystyrene functionalized resins for direct dye removal from textile effluents. Sep. Sci. 2019, 53, 1065–1075. [Google Scholar] [CrossRef]
  50. Greluk, M.; Hubicki, Z. Kinetics, isotherm and thermodynamic studies of Reactive Black 5 removal by acid acrylic resins. Chem. Eng. J. 2010, 162, 919–926. [Google Scholar] [CrossRef]
  51. Ekici, S.; Gamze Guntekin, G. Utilization of polyampholyte hydrogels for simultaneous removal of textile dyes from aqueous solutions. Sep. Sci. 2018, 53, 1777–1790. [Google Scholar] [CrossRef]
  52. Available online: http://dardel.info/IX/resin_structure.html#other (accessed on 15 January 2021).
  53. Lagergren, S. Zur Theorie der Sogenannten Adsorption Gelöster Stoffe, Kungliga Svenska Vetenskapsakademiens. Handlingar 1898, 24, 1–39. [Google Scholar]
  54. Ho, Y.S.; McKay, G. Kinetics models for the sorption of dye from aqueous solution by wood. Process Saf. Environ. Prot. 1998, 76, 183–191. [Google Scholar] [CrossRef] [Green Version]
  55. Plaziński, W.; Dziuba, J.; Rudziński, W. Modeling of sorption kinetics: The pseudo-second order equation and the sorbate intraparticle diffusivity. Adsorption 2013, 19, 1055–1064. [Google Scholar] [CrossRef] [Green Version]
  56. Weber, W.; Morris, J. Kinetics of adsorption on carbon from solutions. J. Sanit. Eng. Div. 1963, 89, 31–60. [Google Scholar]
  57. Tan, I.A.W.; Ahmad, A.L.; Hameed, B.H. Adsorption of basic dye on high-surfacearea activated carbon prepared from coconut husk: Equilibrium, kinetic and thermodynamic studies. J. Hazard. Mater. 2008, 154, 337–346. [Google Scholar] [CrossRef]
  58. Hameed, B.H.; El-Khaiary, M.I. Equilibrium, kinetics and mechanism of Malachite Green adsorption on activated carbon prepared from bamboo by K2CO3 activation and subsequent gasification with CO2. J. Hazard. Mater. 2008, 157, 344–351. [Google Scholar] [CrossRef] [PubMed]
  59. Freundlich, H.M.F. Ober dies adsorption in Losungen. J. Phys. Chem. 1906, 57, 385–470. [Google Scholar]
  60. Ismail, L.F.M.; Sallam, H.B.; Abo Farha, S.A.; Gamal, A.M.; Mahmoud, G.E.A. Adsorption behaviour of direct yellow 50 onto cotton fiber: Equilibrium, kinetic and thermodynamic profile. Spectrochim. Acta A 2014, 131, 657–666. [Google Scholar] [CrossRef] [PubMed]
  61. Khodaeer, E.A. Removal of direct dyes from aqueous solution using natural clay and organoclay adsorbents. Baghdad Sci. J. 2015, 12, 158–166. [Google Scholar]
  62. Sadaf, S.; Bhatti, H.N.; Nausheen, S.; Amin, M. Application of a novel lignocellulosic biomaterial for the removal of Direct Yellow 50 dye from aqueous solution: Batch and column study. J. Taiwan Inst. Chem. Eng. 2015, 47, 160–170. [Google Scholar] [CrossRef]
  63. Abdel-Aal, S.E.; Gad, Y.H.; Dessouki, A.M. Use of rice straw and radiation-modified maize starch/acrylonitrile in the treatment of wastewater. J. Hazard. Mater. 2006, B129, 204–215. [Google Scholar] [CrossRef]
  64. Diouri, K.; Chaqroune, A.; Kherbeche, A.; Miyah, Y.; Lahrichi, A. Kinetics of Direct Yellow 50 dye adsorption onto marble powder sorbents. Int. J. Innov. Res. Sci. Eng. Technol. 2014, 3, 16626–16637. [Google Scholar]
  65. Crini, G.; Peindy, H.N.; Gimbert, F.; Robert, C. Removal of C. I. Basic Green 4 (Malachite Green) from aqueous solutions by adsorption using cyclodextrin based adsorbent: Kinetic and equilibrium studies. Sep. Purif. Technol. 2007, 53, 97–110. [Google Scholar] [CrossRef]
  66. Kowalska, I. Usuwanie anionowych substancji powierzchniowo czynnych w procesie wymiany jonowej. Ochr. Sr. 2009, 31, 25–29. [Google Scholar]
  67. Majewska-Nowak, K. Usuwanie barwników organicznych z roztworów wodnych w procesie ultrafiltracji w obecności anionowej substancji powierzchniowo czynnej. Ochr. Sr. 2006, 3, 15–24. [Google Scholar]
  68. Ghoreishi, S.M.; Behpour, M.; Shabani-Nooshabadi, M. Interaction of anionic azo dye and TTAB–cationic surfactant. J. Braz. Chem. Soc. 2009, 20, 460–465. [Google Scholar] [CrossRef] [Green Version]
  69. Khan, M.N.; Sarwar, A. Study of dye-surfactant interaction: Aggregation and dissolution of yellowish in N-dodecyl pyridinum choride. Fluid Phase Equilib. 2006, 239, 166–171. [Google Scholar] [CrossRef]
  70. Arami, M.; Limaee, N.Y.; Mahmoodi, N.M.; Tabrizi, N.S. Equilibrium and kinetics studies for the adsorption of direct and acid dyes from aqueous solution by soy meal hull. J. Hazard. Mater. 2006, 135, 171–179. [Google Scholar] [CrossRef] [PubMed]
  71. Rahmani, S.; Mohseni, M. The role of hydrophobic properties in ion exchange removal of organic compounds from water. Can. J. Chem. Eng. 2017, 95, 1449–1455. [Google Scholar] [CrossRef]
  72. Li, P.; SenGupta, A.K. Sorption of hydrophobic ionizable organic compounds (HIOCs) onto polymeric ion exchangers. React. Funct. Polym. 2004, 60, 27–39. [Google Scholar] [CrossRef]
  73. Li, P.; SenGupta, A.K. Entropy-driven selective ion exchange for aromtic ions and the role of cosolvents. Colloid Surf. A 2001, 191, 123–132. [Google Scholar] [CrossRef]
  74. Stevenson, D.M.; Duff, D.G.; Kirkwood, D.J. The behaviour of dyes in aqueous solutions part II–anionic dye-nonionic surfactant interactions. J. Soc. Dyers Colour. 1981, 97, 13–17. [Google Scholar] [CrossRef]
  75. Harland, C.E. Ion Exchange: Theory and Practice; The Royal Society of Chemistry: Cambridge, UK, 1994. [Google Scholar]
  76. Zagorodni, A.A.; Kotova, D.L.; Selemenev, V.F. Infrared spectroscopy of ion exchange resins: Chemical deterioration of the resins. React. Funct. Polym. 2002, 53, 157–171. [Google Scholar] [CrossRef]
  77. Clavijo, C.; Osma, J.F. Functionalized Leather: A novel and effective hazardous solid waste adsorbent for the removal of the diazo dye congo red from aqueous solution. Water 2019, 11, 1906. [Google Scholar] [CrossRef] [Green Version]
  78. Karcher, S.; Kornmüller, A.; Jekel, M. Screening of commercial sorbents for the removal of reactive dyes. Dyes Pigments 2011, 51, 111–125. [Google Scholar] [CrossRef]
Figure 1. Application of dyes and their impact on living organisms and human body [11,12,13].
Figure 1. Application of dyes and their impact on living organisms and human body [11,12,13].
Water 13 00385 g001
Figure 2. Physicochemical properties of the anion exchangers [52,53] and dye.
Figure 2. Physicochemical properties of the anion exchangers [52,53] and dye.
Water 13 00385 g002
Figure 3. Influence of phase contact time and initial concentrations of DY50 on the amount of dye adsorbed by (a) A21, (b) A23 and (c) A24 resins and the fitting of experimental data to the kinetic models.
Figure 3. Influence of phase contact time and initial concentrations of DY50 on the amount of dye adsorbed by (a) A21, (b) A23 and (c) A24 resins and the fitting of experimental data to the kinetic models.
Water 13 00385 g003aWater 13 00385 g003b
Figure 4. The t/qt vs. t dependences determined from the linear form of the PSO model in (a) DY50—A24, (b) DY50—A24 and (c) DY50—A24 systems.
Figure 4. The t/qt vs. t dependences determined from the linear form of the PSO model in (a) DY50—A24, (b) DY50—A24 and (c) DY50—A24 systems.
Water 13 00385 g004aWater 13 00385 g004b
Figure 5. Intraparticle diffusion model applied for adsorption of DY50 on (a) A21, (b) A23 and (c) A24.
Figure 5. Intraparticle diffusion model applied for adsorption of DY50 on (a) A21, (b) A23 and (c) A24.
Water 13 00385 g005
Figure 6. The effects of (a) Na2CO3 and (b) Na2SO4 presence on DY50 adsorption on A21, A23 and A24 anion exchangers.
Figure 6. The effects of (a) Na2CO3 and (b) Na2SO4 presence on DY50 adsorption on A21, A23 and A24 anion exchangers.
Water 13 00385 g006
Figure 7. The effects of (a) anionic SDS and (b) non-ionic TX-100 surfactants presence on DY50 adsorption on A21, A23 and A24 anion exchangers.
Figure 7. The effects of (a) anionic SDS and (b) non-ionic TX-100 surfactants presence on DY50 adsorption on A21, A23 and A24 anion exchangers.
Water 13 00385 g007
Figure 8. Fitting of the experimental data to the Langmuir and Freundlich isotherm models in the (a) DY50-A21, (b) DY50-A23 and (c) DY50-A24 systems as well as (d) the dimensionless separation factor as a function of DY50 initial concentration.
Figure 8. Fitting of the experimental data to the Langmuir and Freundlich isotherm models in the (a) DY50-A21, (b) DY50-A23 and (c) DY50-A24 systems as well as (d) the dimensionless separation factor as a function of DY50 initial concentration.
Water 13 00385 g008
Figure 9. Proposed mechanism of DY50 interaction with the weakly basic anion exchangers of the polystyrene, phenol-formaldehyde and polyacrylic matrices.
Figure 9. Proposed mechanism of DY50 interaction with the weakly basic anion exchangers of the polystyrene, phenol-formaldehyde and polyacrylic matrices.
Water 13 00385 g009
Figure 10. ATR–FT-IR spectra of (a) A21 and (b) A24 before and after sorption of DY50.
Figure 10. ATR–FT-IR spectra of (a) A21 and (b) A24 before and after sorption of DY50.
Water 13 00385 g010
Figure 11. Influence of initial solution pH on DY50 uptake by the A21, A23 and A24 anion exchangers.
Figure 11. Influence of initial solution pH on DY50 uptake by the A21, A23 and A24 anion exchangers.
Water 13 00385 g011
Figure 12. Desorption effectiveness of DY50 from the A21, A23 and A24 anion exchangers.
Figure 12. Desorption effectiveness of DY50 from the A21, A23 and A24 anion exchangers.
Water 13 00385 g012
Table 1. Adsorption process conditions in the systems containing salts and surfactants.
Table 1. Adsorption process conditions in the systems containing salts and surfactants.
ConditionsSystem
Na2SO4/Na2CO3SDS/TX-100
Salts/surfactants concentration (g/L)5, 15, 250.1, 0.25, 0.5
Dye concentration (mg/L)500500
Time (min)1515
Volume (mL)5050
Anion exchanger mass (g)0.50.5
Temp. (°C)2525
Vibration amplitude, rotary (cycle/min)
Maximum absorbance wavelength (nm)
8, 180
399/403
8, 180
394/397
Table 2. The parameters determined from the pseudo-first order, pseudo-second order and intraparticle diffusion models in the DY50-A21, DY50-A23 and DY50-A24 adsorption systems.
Table 2. The parameters determined from the pseudo-first order, pseudo-second order and intraparticle diffusion models in the DY50-A21, DY50-A23 and DY50-A24 adsorption systems.
ResinC0
(mg/L)
qe,exp
(mg/g)
PFOPSOID
qe
(mg/g)
k1
(1/min)
R2qe
(mg/g)
k2
(g/mg∙min)
R2ki
(mg/g min0.5)
R2
A2410010.02.380.04350.77910.120.06090.9990.4410.809
30030.04.650.03340.71530.280.02010.9991.1060.946
50050.09.190.06080.90750.440.01280.9991.7320.924
A211009.88.30.01630.91510.30.00380.9990.9230.874
30029.924.60.02970.99131.90.00190.9994.3970.987
50049.937.50.03110.98952.90.00150.9995.6120.874
A231009.90.20.01370.2579.91.19450.9990.5600.529
30029.36.50.02190.91729.30.01880.9990.6680.789
50042.921.50.01690.94443.20.00320.9993.1840.998
Table 5. Compositions of baths for dyeing with direct dyes.
Table 5. Compositions of baths for dyeing with direct dyes.
Bath ComponentsLight IntensityDeep Intensity
Dyeup 0.5%0.5–3%
Na2CO305–1%1–2%
Na2SO44–10%10–30%
Surfactantsup 0.5%0.5–1%
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Wawrzkiewicz, M.; Polska-Adach, E. Physicochemical Interactions in Systems C.I. Direct Yellow 50—Weakly Basic Resins: Kinetic, Equilibrium, and Auxiliaries Addition Aspects. Water 2021, 13, 385. https://doi.org/10.3390/w13030385

AMA Style

Wawrzkiewicz M, Polska-Adach E. Physicochemical Interactions in Systems C.I. Direct Yellow 50—Weakly Basic Resins: Kinetic, Equilibrium, and Auxiliaries Addition Aspects. Water. 2021; 13(3):385. https://doi.org/10.3390/w13030385

Chicago/Turabian Style

Wawrzkiewicz, Monika, and Ewelina Polska-Adach. 2021. "Physicochemical Interactions in Systems C.I. Direct Yellow 50—Weakly Basic Resins: Kinetic, Equilibrium, and Auxiliaries Addition Aspects" Water 13, no. 3: 385. https://doi.org/10.3390/w13030385

APA Style

Wawrzkiewicz, M., & Polska-Adach, E. (2021). Physicochemical Interactions in Systems C.I. Direct Yellow 50—Weakly Basic Resins: Kinetic, Equilibrium, and Auxiliaries Addition Aspects. Water, 13(3), 385. https://doi.org/10.3390/w13030385

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop