Investigation of the removal of Ni(II) from aqueous solution using pomelo fruit peel
Pomelo fruit peel, an organic waste, was utilised as a biosorbent to remove Ni(II) from aqueous solutions. Some
major factors influencing Ni(II) uptake such as pH, adsorption time, and initial Ni(II) concentration were examined.
Several isotherm and kinetic models including the Langmuir, Freundlich, Sips, pseudo-first-order, pseudo-secondorder, and intra-diffusion models were fit to the experimental data. Results showed that the Ni(II) uptake obtained
an equilibrium at pH=6 after 80 min at 303 K. The Sips isotherm model described the Ni(II) adsorption better than
other models and the monoadsorption capacity calculated from the Langmuir model was 9.67 mg/g. The adsorption
of Ni(II) followed pseudo-second-order kinetic models with three stages.
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Tóm tắt nội dung tài liệu: Investigation of the removal of Ni(II) from aqueous solution using pomelo fruit peel
Physical sciences | Chemistry Vietnam Journal of Science, Technology and Engineering 7June 2021 • Volume 63 number 2 Introduction In recent years, the expansion of many industries has promote a huge increase in the economy of a large number of developing countries. However, the governments in these countries are faced with significant environmental problems especially those related to heavy toxic metal pollution in the effluent of industrial zones. Ni(II) is one such heavy toxic metal, which has existed in the wastewater of many factories such as electroplating, mineral processing, batteries manufacturing, and so on [1, 2]. As claimed by the World Health Organization (WHO), the limit of Ni(II) concentration in water is 0.005 kg/m3 [2]. Hence, various physicochemical methods have been applied to eliminate Ni(II) from aqueous solutions including adsorption [1-4], precipitation [5, 6], ion-exchange [7, 8] and so on. Among them, adsorption is a promising method since it is simple, low-cost, and easily reused [9, 10]. The use of agricultural waste as biosorbents has attracted many scientists because they are abundantly available, environmentally friendly, and low cost. There are many biosorbents used to remove Ni(II) from aqueous solutions including Sophora japonica pod powder [11], Sargassum sp. [12], activated banana peel [13], modified plantain peel [14], and Citrus reticulata (fruit peel of orange) [15]. However, the utilisation of pomelo fruit peel (Citrus grandis) as a biosorbent to remove Ni(II) from aqueous solutions has been limited. In previous reports, the pomelo fruit peel was used to adsorb methylene blue [16], Cr(III) [16], Pb(II) [17], and Cd(II) [17]. The obtained results indicated that the pomelo fruit peel is a potential biosorbent to uptake heavy toxic metals and organic molecules from aqueous solutions. Therefore, in this work, the study is extended to Ni(II) adsorption onto the pomelo fruit peel. The pHsolution, adsorption time, and initial Ni(II) concentration, all of which affect the Ni(II) adsorption, are examined. Some common isotherm and kinetic models are fit to the experimental data to understand the nature of the uptake. Materials and methods Preparation of biosorbent The biosorbent was prepared identical to the author’s previous studies [17]. Herein, the pomelo fruit peel was washed by deionised water several times after collection from the Vinh Cuu district, Dong Nai province, Vietnam. The material was then dried in an oven at 80oC within 24 h, prior to cutting into small pieces about 0.5-1 mm in size. Finally, the biosorbent was stored in the oven. Investigation of the removal of Ni(II) from aqueous solution using pomelo fruit peel Van phuc Dinh* Duy Tan University Received 8 September 2020; accepted 4 December 2020 *Email: dinhvanphuc@duytan.edu.vn Abstract: Pomelo fruit peel, an organic waste, was utilised as a biosorbent to remove Ni(II) from aqueous solutions. Some major factors influencing Ni(II) uptake such as pH, adsorption time, and initial Ni(II) concentration were examined. Several isotherm and kinetic models including the Langmuir, Freundlich, Sips, pseudo-first-order, pseudo-second- order, and intra-diffusion models were fit to the experimental data. Results showed that the Ni(II) uptake obtained an equilibrium at pH=6 after 80 min at 303 K. The Sips isotherm model described the Ni(II) adsorption better than other models and the monoadsorption capacity calculated from the Langmuir model was 9.67 mg/g. The adsorption of Ni(II) followed pseudo-second-order kinetic models with three stages. Keywords: biosorption, isotherm models, Ni(II), pomelo fruit peel. Classification number: 2.2 DOI: 10.31276/VJSTE.63(2).07-12 Physical sciences | Chemistry Vietnam Journal of Science, Technology and Engineering8 June 2021 • Volume 63 number 2 Chemicals The Ni (II) ion was used as an adsorbate, which was prepared by dissolving a Ni(II) standard (1000 mg/l) in deionised (DI) water. The pH adjustment of the investigated solution was carried by using HNO3 and NaOH with different concentrations. All experimental chemicals used in this work were from Merck (Germany) and were in the analytical reagent grade. Instruments The pH meter (Martini instruments, Mi-15, Romania), with buffer solution values of 4.01±0.01, 7.01±0.01, and 10.01±0.01, was used to determine the pHsolution values. The material’s morphology was examined by ultrahigh resolution SEM (S-4800), whereas the bonding in the materials’ structure was found out by Fourier-transform infrared (FT-IR) spectroscopy that was conducted on a Tensor 27 (Bruker, Germany). In order to determine the Ni(II) concentration before and after the uptake, an atomic absorption spectrophotometer (Shimadzu AA-7000, Japan) was used. Batch adsorption study The Ni(II) batch adsorption onto the pomelo fruit peel was carried on IKA magnetic stirrers with a RT 10 P heater. Herein, 0.1 g of the synthesised material was placed into 100 ml flasks together with 50 ml of Ni(II) aqueous solution. These flasks were stirred at a constant rate of 150 rpm. The factors affecting the uptake including pH (2-6), adsorption time (10-240 min), and Ni(II) initial concentration (5-50 mg/l) were examined. The percentage of the Ni(II) uptake (% removal) and adsorption capacity, Qe, (mg/g) were determined based on the following equations: o e o (C -C )% Removal = .100% , C (1) o e e (C -C ).VQ = , m (2) where the Ni(II) concentration in the aqueous solution before and after the adsorption are symbolised Co (mg/l) and Ce (mg/l), respectively, V is the volume (l) of metal solution, and m is the mass (g) of the material used. Adsorption isotherm and kinetic models In this report, some common adsorption isotherm and kinetic models are fit to the experimental data [17, 18 ... d 1B show SEM images of pomelo fruit peel at 1.00k and 10.0k magnifications. As seen in these images, the adsorbent surface is very rough, porous, and heterogeneous. These properties are favourable for the heavy metal ion adsorption. The elemental composition of this material was determined by energy- dispersive X-ray spectroscopy (EDX), which is presented in Fig. 1C. The results confirm that the weight percentages of carbon and oxygen were 47.41 and 52.59%, respectively. Point of zero charge (pHPZC): pHPZC is the pH value of the solution when the material’s surface charge is neutral. Indeed, if pHsolution is less than pHPZC, the material surface is positively charged. In contrast, the material’s surface charge is negative when pHsolution>pHPZC. Fig. 1D presents the pHPZC of the pomelo fruit peel in this study, which was determined to be 4.6. FT-IR spectrum: Fig. 2 depicts the vibrations of characteristic groups in the pomelo fruit peel. As seen in this figure, the vibrations of the O-H groups of pectin, cellulose, and lignin are recorded at 3246 cm-1, while the vibrations of the C-H bonds in the CH2 and CH3 groups are assigned to wavenumbers 2924 cm-1 and 2851 cm-1, respectively. The wavenumbers 1747 cm-1 and 1643 cm-1 are related to the C=O groups [19]. Finally, the wavenumbers 1107 cm-1 and 1026 cm-1 confirm the C-O group’s stretching vibrations in the lignin structure of pomelo fruit peel [16]. Physical sciences | Chemistry Vietnam Journal of Science, Technology and Engineering 9June 2021 • Volume 63 number 2 Fig. 2. FT-IR spectrum of pomelo fruit peel. Factors affecting the removal of Ni(II) pHsolution: pHsolution directly affects the removal of Ni(II) due to its effects on the formation of different complexes of Ni(II) and the surface charge of materials. Fig. 3A indicates that the uptake of Ni(II) rises rapidly when pHsolution is increased from 2 to 4. In the next stage, there is a slight increase in the adsorption prior to obtaining the maximum at pH=6. The increase in pHsolution from 2 to 6 leads to a change in material surface charge from positive to negative. At pHsolution>pHPZC=4.6, the material’s surface charge is negative, which leads to a rise in Ni(II) adsorption due to the electrostatic attraction between Ni(II) cations and the negatively-charged material surface [20, 21]. However, the author observed that nickel (II) hydroxide can be formed at pHsolution>6. Therefore, pH=6 is chosen for further experiments. The adsorption time: the influence of the adsorption time on the Ni(II) biosorption by pomelo fruit peel is indicated in Fig. 3B. The uptake rate of Ni(II) significantly increases prior to reaching equilibrium at 80 min and then remained stable. Therefore, the optimal adsorption time was determined to be 80 min. Fig. 1. (A, B) SEM images at different magnifications, (C) the EDX spectrum, and (D) pHPZC of the pomelo fruit peel. Physical sciences | Chemistry Vietnam Journal of Science, Technology and Engineering10 June 2021 • Volume 63 number 2 Isotherm studies The plots of several common isotherm models including Langmuir, Freundlich, and the Sips models are presented in Fig. 4A. The nonlinear isotherm parameters of these models are listed in Table 2. According to calculated RMSE and χ2 values, the experimental data had a better fit with the Sips model than the others as determined by the smallest RMSE and χ2 values. The main reason is that the Langmuir and Freundlich models are constrained by the adsorbates’ concentration, while the Sips model combines these models and overcomes this problem [18]. Furthermore, the Langmuir maximum monolayer adsorption capacity was 9.67 mg/g, which is higher than other biosorbents such as hazelnut shell, fly ash, rice husk, banana peel, and doum palm (Hyphaene thebaica L.) (Table 3). The n value (n=2.67) evaluated from the Freundlich model ranges from 1 to 10 and indicates how favourable conditions are for adsorption [18, 22]. However, the Ni(II) adsorption capacity is lower than Pb(II), Cd(II), and Cr(III) when the same pomelo fruit peel is used [16, 17]. This shows that the pomelo fruit peel is a potential material for removing heavy metals from aqueous solutions. Table 2. Parameters of nonlinear isotherm models at temperature of 303 K. Isotherm models parameters Langmuir KL (l/mg) 0.1891 Qm (mg/g) 9.67 RMSE 0.2625 R2 0.9854 c2 0.1413 Freundlich n 2.67 KF [(mg/g).(l/mg)1/n] 2.48 RMSE 0.3752 R2 0.9701 c2 0.2519 Sips Qs (l/g) 2.25 as (l/mg) 0.1938 bs 0.7667 RMSE 0.1975 R2 0.9917 c2 0.0428 Fig. 3. Plots of the effects of (A) pHsolution and (B) adsorption time on Ni(II) adsorption. Fig. 4. Plots of (A) isotherm models and (B) kinetic models of the Ni(II) adsorption onto pomelo fruit peel. Physical sciences | Chemistry Vietnam Journal of Science, Technology and Engineering 11June 2021 • Volume 63 number 2 Table 3. Maximum adsorption capacities of several biosorbents for the Ni(II) uptake from aqueous solutions [23-27]. Biosorbents Adsorptive condition Adsorption capacity (mg/g) References Doum palm (Hyphaene thebaica L.) pH=7.00, t=120 min 3.24 [1] Banana peel pH=6.89, t=24 h 6.88 [23] Rice husk pH=6.00, t=120 min 8.86 [24] Fly ash pH=8.00, t=60 min 0.03 [25] Hazelnut shell pH=7.00, t=180 min 7.18 [26] Cone biomass of Thuja orientalis pH=4.00, t=7 min 12.42 [27] Brown algae Sargassum sp. pH=6.00, t=90 min 50.97 [12] Pomelo fruit peel pH=6.00, t=80 min 9.67 This study Kinetic studies Figure 4B and Table 4 present the plots of the kinetic models and non-linear parameters, respectively. Clearly, the pseudo-second-model fit to the experimental data is better than the pseudo-first-order model owing to the small RMSE and c2 values. However, both models cannot describe the mass transfer of cations onto the material’s surface. The intra-diffusion model is therefore applied to determine the Ni(II) adsorption kinetic onto pomelo fruit peel. As seen from the plot of Qe versus t1/2 in Fig. 4B, the removal of Ni(II) includes three stages. Firstly, Ni(II) cations are steeply transferred from the solution to the material’s surface within about 20 min. In the next stage, the Ni(II) uptake more gradually occurs from 20 to 80 min, prior to obtaining the equilibrium in the last stage. From the nonzero C value calculated from the intra-diffusion model, the Ni(II) uptake follows not only the intra-diffusion process but also two or more different mechanisms [28, 29]. Conclusions The Ni(II) adsorption onto pomelo fruit peel was investigated. The results showed that the Ni(II) uptake reached equilibrium at pH=6.00 after 80 min at 303 K. Kinetic studies showed that the Ni(II) uptake was controlled by various mechanisms. The Langmuir maximum adsorption capacity was 9.67 mg/g, which was higher than some other biosorbents. Therefore, pomelo fruit peel can be used as a promising, eco-friendly, and low-cost material to eliminate Ni(II) from the effluent. ACKNOWLEDGEMENTS This research is funded by Vietnam National Foundation for Science and Technology Development (NAFOSTED) under grant number 103.02-2018.368. COMPETING INTERESTS The author declares that there is no conflict of interest regarding the publication of this article. REFERENCES [1] M. El-Sadaawy, O. Abdelwahab (2014), “Adsorptive removal of nickel from aqueous solutions by activated carbons from doum seed (Hyphaenethebaica) coat”, Alexandria Engineering Journal, 53(2), pp.399-408. [2] H. Pahlavanzadeh, M. Motamedi (2020), “Adsorption of nickel, Ni(II), in aqueous solution by modified zeolite as a cation- exchange adsorbent”, Journal of Chemical and Engineering Data, 65(1), pp.185-197. [3] S. Ghrab, et al. 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