Chitosan and gum arabic nanoparticles for heavy metal adsorption

Abstract

Chitosan (CT) is a polysaccharide with the ability to adsorb metals on its surface. In this work, CT-based nanoparticles (NPs) are produced by complex formation with gum arabic (GA) to increase their adsorbent potential for removal of heavy metals in aqueous medium. Adsorption efficiency is evaluated as a function of NP composition and polysaccharide concentration. NPs are sized from 250 to 375 nm at a zeta potential up to -25 mV, suggesting stability to adsorb metals. In particular, CTGA56 and CTGA80 NPs adsorbed a substantially higher amount of copper ions than pure CT. Adsorption kinetics studies showed that the reaction process followed a pseudo second-order model and the adsorption isotherm results fit a Langmuir model, highlighting the monolayer adsorption process with prominent adsorption capacity. These findings indicate the adsorbent potential of CTGA NPs and suggest that these particles can be used for removal of metal ions from contaminated water sources.

Keywords:
adsorption; chitosan; nanoparticles; polyelectrolytes

1. Introduction

Water is a natural resource that is essential for life. As such, problems related to water quality, such as contamination by highly toxic and non-biodegradable heavy metals that are a by-product of industrial, domestic, or agricultural activities, are of significant concern^[1,2]. Recent ecological studies have reported high levels of metal in urban environments such as rivers that exceed the safe limit for drinking water and create harmful conditions for surrounding biota and inhabitants^[3].

There are several methods for removing heavy metals from wastewater, including chemical precipitation, filtration with activated carbon, reverse osmosis, and coagulation^[4]. Biopolymers such as chitosan (CT) have been tested for their potential for metal adsorption, especially given their low cost and abundance in nature. Biosorption is a physico-chemical and metabolically independent process for the removal or recovery of organic and inorganic substances from solution using biological materials that involves a variety of mechanisms including absorption, ion exchange, surface complexation, and precipitation^[5]. CT is derived from deacetylated chitin from the exoskeleton of crustaceans and exhibits hydrophilic characteristics, biocompatibility, and biodegradability. The adsorption capacity is attributed to the presence of a large number of amino and hydroxyl groups in the polymer chain that act as active sites of metal coordination^[6-9].

Amino groups of CT composites and derivatives presents well stabillished binding properties with some heavy metal ions such as Cu(II), Zn(II), Ni(II), Cd(II), Pb(II), Hg(II), and Cr(VI)^[10]; cations and anions of dyes; and protein molecules in aqueous medium via various types of interactions including electrostatic attraction, coordinated bonds and chelation^[11]. Various studies have evaluated the absorbing capacity of CT combined with other materials, such as with cellulose, alginate, and silica^[9,12]. Gum arabic (GA) is a natural anionic polysaccharide derived from tree exudates of Acacia senegal and Acacia seyal whose chemical composition can vary with the age of the tree, climate, and regional soil conditions^[13]. Although GA has been used for protein encapsulation and delivery^[14], its potential for metal absorption has not yet been reported. Nevertheless, GA presents carboxyl groups which may act as a binding agent to enhance the adsorption potential of chitosan.

In the present study, CT and GA nanoparticles (NPs) were synthesized by polyelectrolytic complexation based on electrostatic interactions arising from the opposite charges of the CT amino group (cation) and the anionic carboxylic group of GA in aqueous solution. The stability of such complexes depends on the composition and structure of the polymers as well as environmental factors such as temperature, pH, and solvent characteristics^[15,16]. Here, we examined the potential of the NPs for adsorption of heavy metal (Cu) to evaluate their applicability to the treatment of contaminated bodies of water. The complexed polysaccharides in the form of NPs could present greater adsorption capacity than CT alone owing to a larger surface area and lack of internal diffusion resistance, where GA may offer additional binding sites thourgh their carboxylic groups^[17,18].

2. Materials and Methods

2.1 Materials

Gum arabic (GA) (Sigma-Aldrich Brasil, Ltda, São Paulo, SP, BR) with an average molecular weight of 400 kDa, low viscosity, and high solubility in aqueous medium and Chitosan (CT) Polymar, Fortaleza, CE, BR. with an average molar mass of 200 kDa and deacetylation degree (DD) of 72¨% were used for experiments. The DD was determined by dissolving the CT sample in 20 ml HCl 0.100 M followed by titration with NaOH 0.05M.

2.2 Preparation of CTGA NPs

To obtain 2% w/w GA solution, 2 g of GA was added to 100 mL of distilled water with magnetic stirring for 2 h. The stock solution was used to prepare 0.1%-0.3% solutions in a volumetric flask. A 2% w/w CT solution was prepared by adding 2 g of CT to 10 mL of 2% acetic acid (v/v) with stirring at a temperature of 60°C for 2 h, and was diluted to obtain a 0.2% CT solution. NPs were prepared by the complex coacervation method using CT as the nucleus. The 0.2% w/v CT solution was added dropwise to 30 mM sodium pyrophosphate (Na₄P₂O₇•10H₂O) using a 26-G needle, followed by gelification under magnetic stirring for 30 min. A molar ratio of 1:2 CT:P₂O₇^-4 was used for formation of the complexes. After gelification process, the pre-nucleus were coated with GA by controlled addition of a specific amount of GA solution, using 0.1% or 0.3%, forming NPs with diferent final volume. The samples were homogenized for 1h in order to form GA-CT NPs. The NPs were rinsed three times with distilled water by centrifugation at 3500 rpm for 20 min and stored in distilled water under refrigeration for 12 h. Afterwords they were spray-dried with inlet and outlet temperatures of 140°C and 60°C, respectively, at a rate of 0.62 L/h and air volume of 40 L/min.

2.3 NPs Characterization

NPs yield was determined from the ratio of the dry NP mass obtained by spray-drying to the total mass added to the reaction system. Average particle size and zeta potential were determined using a Zetasizer NanoZen3500 instrument (Malvern Instruments, Westborough, MA, USA). NPs were characterized by Fourier transform infrared (FTIR) spectroscopy in a Spectrum 1000 instrument using KBr disks (Perkin Elmer, Waltham, MA, USA).

2.4 Adsorption studies

The amount of adsorbed metal after 24 h was determined by the batch method in order to find the NPs with the best sorption capacity. The samples were compared with CT and GA, which were used as received from the manufacter. It was weighted 1g of the samples CT, GA and the NPs, each one of them were immersed individually in a 1M CuSO₄ solution and the remaining amount of copper after 24h was determined by complexometric titration using EDTA. A 2 mL aliquot was added to 50 mL of distilled water in a flask; the pH was adjusted to 10, and the indicator Murexide P.A 99% (Diadema, SP, BR) was added to the solution. The number of moles of adsorbed copper (N_ad) was calculated using Equation 1:

$$N_{ad}=\left(N_f-N_i\right)/m$$ (1)

Where Ni and Nf are the initial and final number of moles, respectively, and m is the mass of the NPs immersed in CuSO₄ solution of known concentration.

Kinetics of adsorption were evaluated by placing 50 mg of NPs into 100 mL of copper sulfate solution at initial concentrations of 250, 1250, and 2500 mg/L at constant pH 6. Cu(II) adsorbed by NPs was measured after continuous stirring with a magnetic stirrer, where aliquots were taken at specified time points between 5 and 180 min and the Cu content was determined using an atomic spectrophotometer (Shimadzu, model AA-7000).

The amount of adsorption at equilibrium qe (mg/g) and at a given time qt (mg/g) were calculated by the following Equation 2 and 3:

$$q_e=\left(C_0–C_e\right).V/m$$ (2)

$$q_t=\left(C_0–C_t\right).V/m$$ (3)

where C₀ is the initial Cu(II) concentration, C_t is the concentration at a given time t, and Ce is the concentration at equilibrium in mg/L, and V is the volume of the solution and m is the mass of the adsorbent.

3. Results and Discussions

CTGA NPs were produced using a primary complex of sodium pyrophosphate Na₄P₂O₇ as a NP core to which GA was added at pH 6. Various CTGA NPs samples were produced by varying the CT/GA ratio and the %GA solution. NP properties were dictated by the intrinsic characteristics of the constituent polymer and the extent of interaction between polymers in solution. CTGA NPs were characterized by analyzing the zeta potential, yield, particle size and metal adsorption capacity.

NP yield was calculated based on the total mass added to the reaction. The overall yield was low because of loss of material during the spray-drying process, in comparison with freeze-drying process which tends to present higher yield^[19]. Nonetheless, NPs with CTGA56 and CTGA48 (e.g., 56% wt and 48% wt CT content) had a higher yield than those in which there was an excess of one of the polysaccharides (e.g., 80% wt and 25% wt CT content), as shown in Table 1. The CT had a lower molecular weight than GA, although they were both in the same order of magnitude (200 and 400 kDa, respectively). Thus, to obtain a higher yield of CTGA complexes, an equivalent amount of GA with acidic groups is needed for electrostatic interactions with the amino groups of CT, which would favor electrostatic interactions. As discussed in the literature, during complexation, polyelectrolytes are formed when both polymers are ionised and bear opposite charges. Depending upon the strength of the interactions, the polyeletroctrolytes can either coacervate, or form a more or less compact hydrogel and if ionic interactions are too strong, precipitation can occur^[15]. In this case %GA solution didn’t affected the Yield in a direct manner, where neither NPs produced showed PEC precipitation.

Table 1
Nanoparticle Composition, Yield and Zeta Potential.

NP Code	CT/GA mass ratio	CT content (%wt)	GA solution (%wt)	Yield (%)	Zeta Potential (mV)	Particle size (nm)
CTGA80	4/1	80	0.1	13.9	-30.8	650
CTGA56	1.3/1	56	0.3	25.8	-24.9	221
CTGA48	1/1.1	48	0.1	24.8	-23.7	340
CTGA25	1/3	25	0.3	13.5	-31.6	28 (70%) 350 (30%)

In a previous related work regarding Chitosan-Alginate microparticles^[19], chitosan with lower MW, resulted in a higher yield in comparison with a chitosan with higher MW. Smaller chains presented less available amino groups per molecular chain and were used ina greater quantity to bind to the acid groups present in the ALG chains.

3.1 FTIR spectroscopy

CT, GA and CT/GA NPs were analyzed by FTIR spectroscopy. Vibration modes of the main groups of polysaccharides and their profiles are shown in Figure 1.

Figure 1
FTIR spectra of CT, GA and CTGA NPs.

CT pure presents glucosamine units with stretching vibrations at 1420 cm^–1 and 3379 cm^–1. Their principal vibration modes are asymmetrical and symmetrical bending of amine and amide II bending at 1651 and 1556 cm^-1, respectively. Also their acetyl-glucosamine groups appears at 1351 cm^–1. For the GA, characteristic absorption bands were present, with a broad asymmetrical band at 1600 cm-1 and a narrower symmetrical band at 1415 cm-1, which can be attributed to C–O–O bond stretching and carboxylic ion axial stretching, respectively. An even broader absorption was observed near 1030 cm-1, which can be attributed to COH stretching. Similar absorption bands are found in polyssacarides such as alginate^[14,18,19], and cashew gum^[20,21] in the literature.

As expected, all NPs showed similar profiles. A hydrocarbon group was detected in the CTGA NPs near 2900 cm^−1[20]. Stretching vibrations from charged amino (NH₃⁺) groups were observed near 3380 cm⁻¹. The main stretching of GA acid (COO⁻) groups overlapped with the asymmetric bending of NH₃⁺ around 1600 and 1400 cm⁻¹. It was notice that none of the CTGA NPs showed the usual CT amino band at 1566 cm^-1. In another study, the disappearance of this particular amino band were a evidence of the complex formation of chitosan with a anionic polyssacaride^[19]. With increasing GA content, a broadening of the band at 1400 cm⁻¹ was observed, revealing a second smaller peak at 1344 cm⁻¹. The absorption band at 1129 cm⁻¹ was attributed to the stretching of COH, whereas the amino group of CT in the 1414 cm⁻¹ band presented an intensified peak^[21].

3.2 Particle size and zeta potential

Particle size and zeta potential were evaluated as a function of the total volume fraction of NPs. Particles with zeta potential values > 30 or ≤ 30 mV avoid undesirable fluctuations. In this study, all NPs had large negative zeta potential values that were ≤ 24 mV at pH 6 (Table 1). This result indicates that the CTGA NPs presents enough stability, where GA, an anionic polysaccharide, successfully coated the surface of the particle, formed by the CT in the inner core. Particle distribution pattern and average size are important factors that influence the ability of NPs to adsorb heavy metals, as showed in Figure 2. The CT/GA mass ratio were altered in order to investigate the effect of the excess of one of the components in the final average particle size. Also, the GA concentration was tested in two levels in order to investigate the effect on the NPs formation process. Theoretically, higher concentration of one component in a lower total volume could favor an excess of interactions and form inter-agregation complexes to the particles under formation and cause higher particle size^[19,22,23].

Figure 2
NP size distribution as a function of total particle volume. (a) CTGA56; (b) CTGA43; (c) CTGA33; (d) CTGA80.

Results showed a largely unimodal distribution pattern for NPs, indicating uniformity in the production process. NPs generally presented an average size of 250 - 350 nm, and this size range comprised > 95% of the fraction volume. This size range would tend to enhance adsorption because of the higher surface area:volume ratio. However, NPs produced with a higher CT content presented a higher size (~650 nm), suggesting that the excess CT and their amino groups may have favored intra- and interionic interactions. These interactions would lead to aggregation of a CT:P₂O₇^-4 inner core, followed by a GA coating that would result in the formation of larger particles. This type of aggregation has been reported with other polysaccharides^[19,22,23] and is represented schematically in Figure 3.

Figure 3
Formation of CTGA NPs without aggregation (left) and with possible aggregation of CT:P₂O₇^-4 inner core (right).

3.3 Adsorption properties

Pure CT and GA as well the CTGA NPs were evaluated for their ability to adsorb copper ions (Figure 4). The adsorption properties of pure CT were superior to those of pure GA (300 vs. 122 mg of copper ions per gram of polymer). It is well known that chitosan is a powerful chelating agent that easily forms complexes with transition metals and heavy metals. Amino and hydroxyl groups are mainly involved in the binding of metal ions by chitosan^[7-9]. Hence, the complex- forming properties and durability of a metal-chitosan complex depend on several parameters, such as the degree of deacetylation, the length of the polymer chain, and finally, the physical form of the adsorbent^[24,25]. Accordingly, NPs produced with a higher CT content had a greater capacity for adsorption than those with a higher GA content, which was independent of average particle size. CTGA80 NPs presented the highest CT content, which presented the greatest amount of amino groups available for binding with copper ions. However, they presented lower adsorption properties at these conditions because of their higher particle size (>600 nm). CTGA56 NPs (with 56% wt CT) had markedly higher copper adsorption (549 mg/g) than pure CT (300 mg/g). In this case, the combination of the high CT content and the nanoscaled particle size (250 nm) enhanced the adsorption capacity. The NPs in this study showed superior results compared to those in other studies of CT-based systems, such as CT-bound Fe₃O₄ NPs (21.5 mg/g)^[24], chitosan-coated perlite beads (104.0 mg/g)^[25], or chitosan/cellulose (26.5 mg/g) and chitosan/alginate (67.7 mg/g)^[9]. CT is already being used as alternative to activated carbon for the treatment of contaminated water bodies^[1,6]. However, it is worth noting that our NPs had a different pattern from previously reported CT-core NPs^[18]. The presence of GA in the NP coating may provide advantages in terms of stability because it does not swell under acidic conditions, as in the case of CT. Kinetics studies were conducted for CTGA56 and CTGA80 NPs because of their improved adsorption properties.

Figure 4
Adsorption of copper ions by CTGA NPs, CT, and GA.

The effect of contact time on the adsorption capacities (mg/g) for NPs CTGA56 and CTGA80 as a function of the initial concentration of Cu(II) is shown in Figure 5. From these data, the equilibrium time for the adsorption was established as equal to 60 min for NPs CTGA56 and CTGA80, independently of the initial concentration. It was also noted that the adsorption rate of the metal complexes was higher at the beginning and thereafter achieved saturation level at 180 min. This also shows that the adsorption capacities increased according to the increase of [Cu(II)] concentration: 89, 961 and 2217 mg/g for CTGA56 and to 109, 940 and 2170 mg/g for CTGA80 for Cu (II) concentrations of 250, 1250 and 2500 mg/L. This profile agrees with those reported in the literature^[26-29]. Other studies showed different adsorption capacity; magnetic chitosan microspheres modified with thiourea adsorbed 80 mg/g with a copper ions concentration of 350 mg/L^[28]; granular semi-IPN hydrogels based on chitosan and gelatin presented an adsorption capacity of 300 mg/g with a copper ions concentration of 1750 mg/L^[29]. These results show that the prepared adsorbent has a very high Cu(II) adsorption capacity compared to reported in literature, particularly for higher concentration of Cu(II) in aqueous media.

Figure 5
Effect of the phase contact time on the adsortion capacity of CTGA56 and CTGA80, depending on the concentration of Cu(II).

3.4 Kinetics of adsorption

To investigate the mechanisms controlling adsorption processes such as mass transfer and chemical reaction, reaction and diffusion models were used to describe sorption kinetics. The kinetics of the processes were described by pseudo-first and pseudo-second order equations, represented respectively by Equation 4 and Equation 5:

$$log\left(q_e-q_t\right)=log{q}_e–\left(k_1/\mathrm{2,303}\right)t$$ (4)

$$1/q_t=\left(1/k_{2}q{e}^2\right)+\left(1/q_e\right)t_{}$$ (5)

where q_e and q_t are the sorption capacities for Cu(II) on CTGA NPs at equilibrium (mg/g) and at time t (mg/g), respectively; k₁ is the pseudo-first order sorption rate constant (min-¹); k₂ is the pseudo-second order sorption rate constant (g/mg.min); and t is the time (min).

In the diffusion model considering an adsorbent with a spherical shape and a relatively short time, the simplified Equation 7 is represented using Equation 6:

$q_t=Kd.t^{0.5}+C$(6)

where Kd is the diffusion intraparticle coefficient (mg/g.min^-0.5), and C is a constant related to diffusion resistance (mg/g). Kd was determined as a result of linearization of q_t as a function of time t. The results for the kinetic parameters are shown in Table 2.

Table 2
Kinetic parameters for sorption of Cu(II) on CTGA56 and CTGA80 NPs.

Kinetics	Parameters	CTGA56				CTGA80
		Concentration (mg/L)
		250	1250	2500		250	1250	2500
1ª Order	qe1	78.47	48.89	253.75		61.86	36.39	31.17
	k1	0.002	0.017	0.039		0.016	0.018	0.013
	R2	0.418	0.725	0.780		0.558	0.948	0.390
2ª Order	qe2	0.088	909.1	2500		0.008	909.09	2000
	k2	4.01	-0.0015	0.0003		-4057.9	-0.0024	-0.0025
	R2	0.736	0.999	0.9999		0.94	1	0.9999
Difusion	C	87.90	985.34	2048.1		117.93	987.24	2160.00
	Kd	-3.77	-2.99	18.35		0.625	-3.529	-1.142
	R2	0.173	0.578	0.939		0.006	0.863	0.076

Taking into account the higher values of the correlation coefficients (R²), it is evident that these data best fit pseudo-second order kinetics. This model takes into consideration the fact that the adsorption process is limited and controlled by chemical reaction^[30], or chemisorption. The adsorption capacity calculated by the model (qe2) is also similar to those determined in the experiments, particularly with increased initial copper concentration (1250 and 2500 mg/L). Table 2 also shows that the second order model presented qe2 theoretical values of 909 and 2500 for CTGA56 and 910 and 2000 for CTGA80. These values are very similar with those provided by the experimental data (961 and 2217 for CTGA56 and 940 and 2170 for CTGA80, from Figure 5). k1 and k2 are related with time scale, where the higher the value, faster the system reaches equilibrium, which may or may not be dependent from the operational conditions^[31]. In this study, k2, regarding second order kinectis, presented a relative high value only at lower concentration (250ppm). In this case, the low concentration of copper aided to a fast adsorption. The low R² presented at this particular concentration gives a indications that at lower concentration could be a combined kinetics process.

3.5 Adsorption Isotherm

In the next step the experimental data, were fitted by Langmuir and Freundlich isotherm models. This investigation is fundamental in describing the interaction between the solute and the adsorbent, and it represents the surface properties and affinity of the adsorbent at equilibrium. The widely known Langmuir equation, valid for monolayer sorption onto a surface with a finite number of identical sites, can be described in the linear form^[32] as in Equation 7:

$$1/q_e=\left(1/q_{máx}\right)+{\left(1/K_L{q}_{máx}{C}_e\right)}_{}$$ (7)

where q_e and q_máx are the equilibrium adsorption and maximum adsorption at monolayer coverage (mg/g); K_L is a constant related to the affinity of binding sites (L/mg); C_e is the final concentration in the solution (mg/L).

Alternatively, the Freundlich equation also can be used to fit experimental isothermal data to explain adsorption systems, usually in the log-linearized form according to Equation 8:

$$log{q}_e=log{K}_F+\left(1/n\right)log{C}_e$$ (8)

where q_e and q_máx are the equilibrium adsorption and maximum adsorption (mg/g); C_e is the final concentration in the solution (mg/L); K_F is a Freundlich constant representing the adsorption capacity; and n is a dimensional constant depicting the adsorption intensity.

The adsorption isotherm parameters were calculated from linear plots of Langmuir and Freundlich isotherm models as 1/q_e versus 1/C_e and logq_e versus logC_e, respectively, and the results are shown in Table 3. The correlation coefficients demonstrate that both models are acceptable, with R² > 0.9. However, the Langmuir model presented a higher correlation coefficient of R² > 0.995; the parameters also described the experimental data with more accuracy.

Table 3
Isotherms parameters for sorption of Cu(II) on CTGA56 and CTGA80 NPs.

Isotherms	Parameters	CTGA56	CTGA80
Langmuir	KL	0.01275	0.00907
	qmáx	303.03	344.83
	RL	0.24	0.31
	R2	0.9947	0.9999
Freundlich	KF	2.2x10-09	1.9x10-07
	n	0.208	0.253
	R2	0.9200	0.9610

Further analysis of the Langmuir equation enables investigation of the dimensionless equilibrium parameter R_L given by Equation 9, where the given value provides an indication of whether or not the adsorption is favorable.

$$R_L=1/\left(1+K_L{C}_0\right)$$ (9)

where C₀ is the highest initial solute concentration (mg/L) and K_L is the Langmuir constant, which indicates the nature of adsorption.

Briefly, the R_L value indicates that the adsorption is favorable if it takes values of 0 < R_L < 1, and when R_L > 1, adsorption is unfavorable, which means that the metallic ions have more affinity in the liquid phase than in the adsorbent material^[33]. As shown in Table 3, the R_L factor for Cu(II) sorption on the CTGA80 and CTGA56 NPs was 0.24 and 0.31, respectively. In this case, it is beneficial to consider Cu(II) monolayer sorption onto surfaces with a finite number of identical sites such as those of CTGA80 and CTGA56 NPs, as the present data suggest that Cu(II) adsorption on CTGA NPs is favorable. The sorption capacities were equal to 344.83 and 303.03 mg/g for CTGA80 and CTGA56 NPs, respectively. These results show that the prepared adsorbent has a very high adsorption capacity compared to previously established values in the literature^{[24,25,28,29,34-39]} as listed in Table 4. Therefore, the present study confirms that NPs CTGA may be an effective adsorbent for the removal of Cu(II) ions from aqueous solutions.

Table 4
Maximum adsorption capacity of materials based on chitosan for Cu(II) ions.

Adsorbent Materials	qmáx (mg/g) -	Ref.
Chitosan modified by chelating agents	113.6-55.6	[ 24 ]
Chitosan chemically modified with the complexation agent	109.9	[ 25 ]
Thiourea-modified magnetic chitosan microspheres	66.7	[ 28 ]
Semi-IPN hydrogel based on chitosan and gelatin	277.04-300.3	[ 29 ]
Chitosan with epichlorohydrin	35.5	[ 34 ]
Chitosan-clay nanocomposites	181.5	[ 35 ]
Chitosan–zeolite composites	14.8-51.3	[ 36 ]
Xanthate-modified magnetic chitosan	34.5	[ 37 ]
Chitosan loaded with Reactive Orange 16	107.3	[ 38 ]
Recycled chitosan nanofibril	227.3	[ 39 ]
CTGA56	303	This work
CTGA80	344.8	This work

4. Conclusions

In summary, core-shell chitosan-arabic gum NPs were produced, characterized, and employed for the adsorption of copper ions in aqueous solution. The results showed that stable particles were produced, with zeta potential values below −24 mV. The stability may be attributed to the carboxylic groups of GA, which successfully coated the CT inner core. Particle size was dependent on the CT content, where the smallest particles were obtained with CTGA56 (250 nm) and the largest were obtained with CTGA80 (660 nm). In the latter case, the excess CT and their amino groups may have favored intra- and inter-ionic interactions, leading to aggregation of a CT:P₂O₇^-4 inner core followed by GA coating to form larger particles. The copper adsorption on CTGA56 and CTGA80 NPs was higher than that on pure chitosan. The adsorption of Cu(II) by CTGA NPs occurred through chemical adsorption that took place on the homogeneous surface of the NPs. In the resulting monolayer adsorption, the functional groups of nitrogen and oxygen atoms likely chelated the Cu(II) from aqueous solution. With increasing Cu(II) concentration, CTGA56 provided better performance than CTGA80 because of its smaller particle size, which provides an increased surface area: volume ratio, thereby maximizing the number of active binding sites. Thus, the present study confirms that CTGA NPs may be an effective adsorbent in the treatment of waste water for removal of Cu(II) ions.

5. Acknowledgements

The authors thank Professor Dr. Ana Cristina de Oliveira Monteiro Moreira from Centro de Ciencias da Saúde of Universidade de Fortaleza for use of the spray-dryer, Professor Haroldo César Beserra de Paula from the Laboratório de Biopolímeros of Universidade Federal do Ceará for zeta potential and particle size analysis. This work was supported by the Conselho Nacional de Desenvolvimento Científico - CNPq [Projeto Universal 442965/2014-1]

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Publication Dates

• Publication in this collection
  10 July 2018
• Date of issue
  Jul-Sep 2018

History

• Received
  29 Mar 2017
• Reviewed
  04 Aug 2017
• Accepted
  04 Sept 2017