[ProQuest: [...] denotes non US-ASCII text; see PDF]
Jin Wang 1 and Qiufang Yao 1 and Chengmin Sheng 1 and Chunde Jin 1; 2 and Qingfeng Sun 1; 2
Academic Editor:Qin Hu
1, School of Engineering, Zhejiang A&F University, Lin'an, China
2, Key Laboratory of Wood Science and Technology, Lin'an, China
Received 15 November 2016; Revised 18 January 2017; Accepted 31 January 2017; 16 April 2017
This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
1. Introduction
With desirable antimicrobial activity, high quality, and low cost, tetracyclines are of widespread use of human therapy and livestock industry [1]. Unfortunately, tetracyclines have been regularly detected in surface water, groundwater, and even drinking water, resulting in harmfulness to environment and our human health [2, 3]. Therefore, it has been urgent that effective measures should be taken to remove tetracyclines from contaminative water. Recently, a variety of methods have been explored to decontaminate antibiotic such as adsorption [4], photocatalytic degradation [5], catalytic degradation [6], advanced oxidation [7, 8], and biodegradation [9]. Among these various methods, adsorption is a superior and widely used method owing to its accessibility, being environmentally benign, and high efficiency [10]. In fact, a number of (chemical or physical) sorbent materials, including various kinds of adsorbents, including HCl-modified zeolite [11], alkali biochar [12], anaerobic granular sludge [13], activated carbons [14, 15], multiwalled carbon nanotubes [16, 17], bamboo charcoal [18], and graphene oxide [19], have been applied for eliminating antibiotics from aqueous solutions. However, having suffered from low removal capacities, difficult separation, secondary environmental pollution, and unsatisfactory recycling ability, these adsorbents have hampered greatly practical applications. Therefore, it is an urgent demand to develop new adsorbents with reusability and efficiency to remove antibiotics in water.
As porous nanostructured materials, aerogels have been applied in considerable fields due to their superior properties like low density, high specific surface area, and excellent adsorption [20]. Specifically, aerogels are based on cellulose nanofibers (CNF) networks with outstanding physical properties such as high surface-to-volume area and high aspect ratio; they show an attractive flexibility, ductility, hierarchically porous structure, and many other excellent features [21]. Therefore, materials based on CNF aerogels with 3D structures are the current focus of a tremendous surge of interest in adsorption applications. On the other hand, with extremely hydrophilicity, ultrahigh theoretical surface area and abundant surface oxygen containing groups, graphene oxide (GO) nanosheets have been applied to field for adsorbing pollutants such as antibiotics [22], dyes (methylene blue, Basic Red 12, and triphenylmethane), and heavy metal ions (copper, zinc, cadmium, and lead) [23, 24] from water. However, there exists certain defect in the use of conventional powder GO-base materials, such as segregating after the reaction. Hence, materials with ease of separation operation as well as good hydrophilic properties are urgently needed in antibiotics removal application.
In this paper, GO-CNF with ease of separation operation as well as good hydrophilic properties was prepared by using one-step ultrasonication method. The results demonstrated the significance of the absorption properties within the GO-CNF for application in removal of antibiotics. Moreover, the GO-CNF could be regenerated several times using an alkali washing procedure with little loss in multiple antibiotics removal performance.
2. Materials and Methods
2.1. Materials
Four kinds of tetracyclines were shown in Table 1 and were supplied by Aladdin Industrial Co., Ltd. The moso bamboo (Phyllostachys heterocycla) was obtained from Zhejiang Province in China. All other chemicals were analytical grade and used as received.
Table 1: The molecular structures of tetracyclines and their abbreviations.
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Oxytetracycline (OTC) | Tetracycline (TC) |
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Chlortetracycline (CTC) | Doxycycline (DXC) |
2.2. Preparation of Cellulose Nanofibril/Graphene Oxide Hybrid (GO-CNF) Aerogel by One-Step Ultrasonication Method
Graphene oxide (GO) and pure cellulose were prepared according to the literatures methodologies [25, 26], respectively. In a typical process, pure cellulose (80 mg) and GO (100 mg) were put in distilled water (100 mL) under vigorous ultrasonication for 30 min. Ultrasonic treatment was performed at 60 kHz with a 25 mm diameter titanium horn under a duty cycle with an outpower of 1000 W. During ultrasonication, the samples were kept in an ice bath to avoid overheating. Afterward, the specimens were freeze-dried using a lyophilizer (Scientz-10N, Ningbo Scientz Biotechnology Co., Ltd., China) for 48 h.
2.3. Characterizations
The morphologies of the aerogels were characterized by scanning electron microscopy (SEM, FEI, Quanta 200, USA) and transmission electron microscope (TEM, FEI, Tecnai G20, USA). Atomic force microscopic (AFM) images were taken on a MultiMode Nanoscope III scanning probe microscopy (SPM) system (Veeco, USA). Crystalline structures were identified by X-ray diffraction technique (XRD, Rigaku, D/MAX 2200, Japan), operating with Cu Kα radiation (λ = 1.5418 Å) at a scan rate (2θ ) of 2° min-1 and the accelerating voltage of 40 kV and the applied current of 30 mA. The surface elemental composition analyses were conducted based on the X-ray photoelectron spectroscopy (XPS, Thermo Fisher Scientific-K-Alpha 1063, UK) with an Al Ka monochromatic X-ray source, in which all of the binding energies were calibrated with reference to the C 1s peak (284.8 eV). The Brunauer-Emmet-Teller (BET) surface area (SBET ) and pore properties of the aerogels were determined from N2 adsorption-desorption experiments at -196°C using an accelerated surface area and porosimetry system (ASAP 2020, Micromeritics instrument Ltd., USA). Meanwhile, the pore volume and pore size distribution were estimated by the Barrett-Joyner-Halenda (BJH) method.
2.4. The Adsorption Experiments
2.4.1. The Adsorption of Antibiotics Experiment
All batch experiments of the antibiotics adsorption were carried out in 50 mL Erlenmeyer flask at a temperature controlled with water bath shaker at 160 rpm, each containing 8 mg GO-CNF and 40 mL of antibiotics solution. The mixed GO-CNF solutions were incubated with antibiotics overnight at 25°C and covered by aluminum foil to refrain probable photodegradation of antibiotics. The final supernatant was regarded as the residual concentration of antibiotics and determined by a UV-vis spectrophotometer (ERSEE TU-1900, China). The removal percentage (R%) and the amount of antibiotics absorbed (qe , mg·g-1 ) were calculated using (1) and (2), respectively: [figure omitted; refer to PDF] where Co (mg·L-1 ) is the initial concentration of the antibiotics, Ce (mg·L-1 ) is the equilibrium concentration in solution of the antibiotics, V (L) is the volume of solution, and m (g) is the weight of the GO-CNF.
2.4.2. Adsorption Kinetics Experiments and Adsorption Isotherms Experiments
GO-CNF was added to antibiotic solutions (40 mL) with the aerogel: antibiotic aqueous solution ratio of 1 mg : 5 mL. Specimens were shaken under agitation speed of 160 rpm at 25°C for different times; the supernatants were separated from the solid phase and directly analyzed by UV-vis spectrophotometer. Adsorption kinetics were conducted in triplicate. Antibiotic adsorption isotherms of GO-CNF were performed on in batches just like kinetics experiments instead of different amount of adsorbent. In a separate adsorption experiment, the exhausted aerogel suspension with the remaining antibiotic solution after the last adsorption cycle was used to test recycle of adsorbent as described below.
2.4.3. The Recyclability Experiments of the GO-CNF
The adsorbed GO-CNF was immerged into 5 wt.% NaOH solution for 5 h. After desorption, the recovered aerogels were separated and washed by distilled water. Afterward, the final sample was freeze-dried under vacuum for the next run of adsorption tests. The regenerated GO-CNF was reused for five repeated cycles following the above steps.
3. Results and Discussion
Figure 1 depicted the typical SEM and AFM images of CNF and GO-CNF, respectively. Both of aerogels exhibited an interconnected porous structure with pore sizes ranging from several hundreds of nanometers to a few micrometers. Compared with fibrous structure of CNF (Figure 1(a)), the microstructure of GO-CNF exhibited a hierarchical structure with interconnected 2D sheetlike networks (Figures 1(b) and 1(c)), which exhibited an interconnected spongelike porous structure with pore sizes ranging from several hundreds of nanometers to a few micrometers and this could be proved in the data of pore size distribution and specific area in Figure 3. For GO-CNF (Figure 1(f)), the pores were obvious and more uniform and had smaller diameters compared to those of CNF. This might be attributed to the hydrogen bonding between the CNF chains and the formation of a 3D network structure which does not collapse upon sublimation. Further learned from AFM images of the specimens, the CNF which presented individual flexible fibril was roughly 65 nm in diameter (Figure 1(d)). For GO-CNF, GO existing in the sheet-like shapes was supported by a skeleton of CNF to form an interconnected network sheets (Figure 1(e)). The thickness, measured from the AFM image, was about 4.7 nm, which was consistent with the data reported in the literature, indicating the formation of multilayered GO.
Figure 1: SEM images and AFM images of the CNF (a and d) and GO-CNF (b, c, f, and e), respectively.
(a) [figure omitted; refer to PDF]
(b) [figure omitted; refer to PDF]
(c) [figure omitted; refer to PDF]
(d) [figure omitted; refer to PDF]
(e) [figure omitted; refer to PDF]
(f) [figure omitted; refer to PDF]
Figure 2 presented XRD patterns and XPS spectra of the CNF and the GO-CNF. In Figure 2(a), the diffraction peaks at about 22° and 16° were attributed to the typical reflection planes (002) and (101) of cellulose I based on the JCPDS data (03-0289) [27]. As for GO-CNF, differently, an intense peak at 2θ = 10.3° could be observed, corresponding to the (001) diffraction planes of GO [28].
Figure 2: (a) XRD patterns, (b) survey scan, (c) C1s, and (d) O1s XPS spectra of CNF and GO-CNF.
(a) [figure omitted; refer to PDF]
(b) [figure omitted; refer to PDF]
(c) [figure omitted; refer to PDF]
(d) [figure omitted; refer to PDF]
Figure 3: Nitrogen adsorption-desorption isotherms (a) and BJH desorption pore size distribution (b) of CNF and GO-CNF, respectively.
(a) [figure omitted; refer to PDF]
(b) [figure omitted; refer to PDF]
The surface chemistry of CNF and GO-CNF was characterized by X-ray photoelectron spectroscopy (XPS). The fully scanned spectra in Figure 2(b) illustrated that both the O and C elements existed simultaneously of the CNF and the GO-CNF. The variation of C/O ratio revealed the changes in the elemental composition of the specimens. Compared with the C/O ratio of 1.42 in the CNF, the C/O ratio for the GO-CNF was 1.53, further indicating the highly efficient conjugation during the one-step ultrasonication treatment.
Figure 2(c) exhibited the high resolution XPS C1s spectra of specimens. The curves were fitted considering the following contributions: O-C=O (289.8 eV), C=O (287.8 eV), C-O (286.5 eV), C=C or C-C, or C-H (284.4 eV) [29]. The C=C/C-C peak intensity of GO-CNF increased obviously compared with CNF, indicating that GO-CNF was consisted of GO and CNF. In addition, there was still a large number of oxygen containing functional groups, which mainly are derived from CNF in the GO-CNF. The other peaks at 287.8 and 289.1 eV were attributed to C=O bonds and O-C=O bonds, respectively, which were typical functional groups in GO. In conclusion, GO were intimately combined with CNF through hydrogen bonds.
Figure 2(d) showed the high resolution XPS spectra of O1s of specimen. XPS energy spectrum of O1s could be fitted considering the following contributions: C-OH (533.0 eV) and C-OH[...]O (532.8 eV). Compared to CNF, the C-OH[...]O peak intensity of GO-CNF increased obviously, indicating that GO were effectively combined with CNF through hydrogen bonds. In addition, there was a new peak of at 531.4 eV, which could be assigned to O=C derived from GO in GO-CNF.
Figure 3 presented the N2 adsorption-desorption isotherms and pore diameter distributions of the aerogels. The absorption isotherms of both the CNF and GO/CNF aerogel (Figure 3(a)) were attributed to type-IV adsorption isotherm, according to the IUPAC classification. GO-CNF was greatly increased in terms of SBET and pore volume compared with that of CNF. In detail, SBET and pore volume of GO-CNF were 89.9 m2 ·g-1 and 0.4 cm3 ·g-1 , respectively, while CNF were as low as 4.8 m2 ·g-1 and 0.05 cm3 ·g-1 , respectively. Figure 3(b) exhibited growth of mesoporous structure in GO-CNF instead of CNF. These results indicated GO-CNF with ultrahigh surface areas and adsorbing site might be effective in removal of antibiotics.
Figure 4 showed synthesis of GO-CNF via one-step ultrasonication method. During the ultrasonic treatment, one hand, CNF were formed springing from the pure cellulose by cavitation effect [30]. In detail, 80 mg of the purified cellulose suspension was passed through an ultrasonic processor for nanofibrillation, which is based on an ultrasonication mechanism: ultrasonication causes the natural fibres to disassemble into nanofibers in water via cavitation, formation, growth, and implosive collapse of bubbles in the solution. During ultrasound, for example, small gas bubbles (cavities) will be generated in a cellulose aqueous suspension. Such small gas bubbles are able to absorb energy from the soundwaves and grow rapidly under high ultrasound intensities. However, the cavity implodes when it has overgrown, and the surrounding liquid rushes in. The implosion of the cavity creates an unusual environment and introduces high pressure and shock waves within a short time. This violent collapse causes direct particle-shock wave interactions and is the primary pathway to split cellulose fibres along the axial direction. Thus, the sonification impact breaks the relatively weak cellulose interfibrillar hydrogen bonding and the Van der Waals force, gradually disintegrating the microscale cellulose fibres into nanofibers. On the other hand, GO grew and aggregated to transformed lager flakes based on a skeleton of CNF, which was because GO with plentiful oxygen could interact with the hydroxyl groups and oxygen atoms in CNF through hydrogen bonds. Afterwards, during the freeze-drying process, nucleation and growth of large ice crystals can occur within the network that pushed out the GO-CNF from its original location [31]. Subsequent sublimation of these large crystals led to the formation of micrometer-sized pores in the aerogel. Moreover, GO with hydrophilic patterns (CNF) expected preferential bubble nucleation on the GO areas whose architecture ensured high availability of the adsorption sites for removal of antibiotics.
Figure 4: Schematic showing the synthesis of GO-CNF via one-step ultrasonication method.
[figure omitted; refer to PDF]
Figure 5 showed the removal percentage (R%) of antibiotics. Four kinds of antibiotics could be inordinately absorbed on the GO-CNF. The valves of R% ranged from 73.9 to 81.5%. In detail, the sequence of absorption efficiency was as follows: DXC (81.5%) > CTC (79.5%) > OTC (79.1%) > TC (73.9%), which was attributed to the different groups on the branched chain of their chemical construction. Hence, these results exhibited that more conjugated structures and hydroxyl groups could be a benefit of antibiotics adsorption.
Figure 5: The R% of the antibiotics (20 mg/L) on GO-CNF (20 mg/L); temp. 25±0.1.
[figure omitted; refer to PDF]
In order to investigate the adsorption process of antibiotic by GO-CNF, the pseudo-second-order kinetics models calculated by (3) were represented as follows [32]: [figure omitted; refer to PDF] where qt (mg·g-1 ) is the amount of antibiotic adsorbed on the surface of the adsorbent at any time and k2 (g·(mg·h)-1 ) is the rate constant of adsorption in pseudo-second-order model, respectively; q2 (mg·g-1 ) is the amount of antibiotic adsorbed at equilibrium.
The pseudo-second-order kinetics model described relied on the assumption that adsorption was a chemical reaction, that is, chemisorption. The obtained kinetics parameters of pseudo-second-order kinetics model for adsorption of antibiotics on GO-CNF were listed in Table 2. The pseudo-second-order model (R2 >0.99) fitted the adsorption data well, which illustrated that there was chemical adsorption in quick adsorption of antibiotics on the GO-CNF. Moreover, the calculated adsorption capacity (qe ) values estimated by the pseudo-second-order model were 96.3, 89.7, 87.9, and 84.8 mg·g-1 for DXC, CTC, OTC, and TC, respectively, which showed excellent consistency with the detected values in experiment (95.9, 87.6, 85.7, and 82.1 mg·g-1 ). The rate constant of sorption (k) was 0.129, 0.128, 0.116, and 0.09 g·(mg·h)-1 for DXC, CTC, OTC, and TC, respectively.
Table 2: Kinetic properties of antibiotics removal on GO-CNF by pseudo-second-order model.
| Pseudo-second-order | ||
k 2 (min-1 ) | h (mg[sm middot](g[sm middot]min)-1 ) | r 2 | |
DXC | 0.1299 | 543.6589 | 0.994 |
CTC | 0.1286 | 684.6815 | 0.993 |
OTC | 0.1158 | 702.6432 | 0.994 |
TC | 0.0995 | 714.2857 | 0.992 |
As two classic adsorption models, the Langmuir and Freundlich models were applied to describe the adsorption equilibrium. The mathematical representations of the Langmuir Equation and Freundlich Equation models [33] were given as follows: [figure omitted; refer to PDF] where qm (mg·g-1 ) is the theoretical maximum adsorption capacity per unit weight of the adsorbent and n is the Freundlich linearity index. KL and KF are adsorption constants of Langmuir and Freundlich models, respectively. As an ideal model, Langmuir model was applied widely in perfect adsorbent surface and monolayer molecule adsorption. On the other hand, as an empirical model, Freundlich model was applied in the field of chemistry. The results of fitting parameters by these models were listed in Table 3. For the four kinds of antibiotics, the Langmuir (R2 >0.99) fitted the adsorption data well and the Freundlich model (R2 >0.93) fitted reasonably. Hence, at certain concentration levels instead of high one, the Langmuir model globally fitted well, which exhibited the limitation of the hypothesis about a monolayer adsorption. Moreover, Freundlich model would be more fitted at high concentration which exhibited that it was chemistry adsorption progress. Simultaneously, from Langmuir model, the ideal maximum adsorption capacity (qm ), a model fitting parameter, was determined to be 469.7, 396.5, 386.5, and 343.8 mg·g-1 for DXC, CTC, OTC, and TC, respectively. Using the Freundlich model, the obtained Freundlich constant (KF was 49.6, 48.8, 46.9, and 43.6 L·mg-1 for DXC, CTC, OTC, and TC, resp.) was higher than what was reported by Ghadim et al. [22].
Table 3: Langmuir and Freundlich adsorption isotherms fitting parameters of antibiotics.
| Langmuir | Freundlich | ||||
q m (mg[sm middot]g-1 ) | K L (L[sm middot]mg-1 ) | r 2 | K F (L[sm middot]mg-1 ) | n | r 2 | |
DXC | 469.74 | 0.126 | 0.997 | 49.563 | 1.687 | 0.938 |
CTC | 396.49 | 0.117 | 0.995 | 48.847 | 1.987 | 0.964 |
OTC | 386.53 | 0.098 | 0.996 | 46.985 | 2.145 | 0.959 |
TC | 343.84 | 0.086 | 0.998 | 43.572 | 2.257 | 0.957 |
The possible adsorption mechanisms of the antibiotics by GO-CNF were based on the following properties in Figure 6. Firstly, with primarily π-π stacking, GO-CNF could act as electron acceptors and be advantageous for adsorbing the antibiotics by unsaturated double bond or conjugate structure (Figures 6(a) and 6(b)) [34]. In addition, a lot of hydroxyls both in GO-CNF afforded formation of hydrogen bonds with antibiotics molecules. Secondly, the interconnected 3D networks structure of GO-CNF possessed meso- and macropores (Figure 6(c)), which facilitated the free diffusion of antibiotics and guaranteed mass transport to the 3D cross-linking internal structure, and fully exposing the active sites would enhance the opportunity for antibiotics to contact with the macrostructure of GO-CNF via electrostatic attraction. In summary, the GO-CNF for antibiotics adsorption were through π-π stacking, hydrogen bonds, and electrostatic attraction.
Figure 6: Schematic diagram of the GO-CNF for antibiotics adsorption.
(a) [figure omitted; refer to PDF]
(b) [figure omitted; refer to PDF]
(c) [figure omitted; refer to PDF]
In consideration of the importance of the recyclability for adsorbents, the R% of antibiotics on GO-CNF during five sequential cycles of adsorption-desorption was shown in Figure 7. GO-CNF exhibited a potential cycling behavior and lost 1.5-2.5% with around 2.0% in five cycles, which had been reduced by 2.5%, 1.9%, 2.3%, and 1.5% for DXC, CTC, OTC, and TC, respectively, compared with that in first cycle. In other words, the valve of R% was 75.0%, 79.5%, 72.5%, and 66.1% for DXC, CTC, OTC, and TC, respectively. These results illustrated that GO-CNF could be still efficiently reused through five regeneration cycles, which could be an efficient, economical, and potential adsorbent for antibiotics removal.
Figure 7: Reusability of GO-CNF for antibiotics removal in five cycles.
[figure omitted; refer to PDF]
4. Conclusions
In conclusion, cellulose nanofibril/graphene oxide hybrid (GO-CNF) aerogel with interconnected 3D network structure had been successfully prepared through one-step ultrasonication method. GO-CNF exhibited superior adsorption performance towards this four kinds of antibiotics (469.7, 396.5, 386.5, and 343.8 mg·g-1 for DXC, CTC, OTC, and TC, resp.), which was attributed to the effects such as chemical reaction (π-π stacking and hydrogen bonds) and their pore network microstructure. Furthermore, the simulated equilibrium data exhibited a Langmuir adsorption isotherm and the pseudo-second-order model was well fitted in adsorption kinetic. Importantly, with reusability, as well as ease of separation operation, the GO-CNF might be an efficient and economical adsorbent in antibiotics removal application.
Acknowledgments
The work was financially supported by Zhejiang Provincial Natural Science Foundation of China (no. LZ14C160001), Public Projects of Zhejiang Province (no. 2015C32014), Scientific Research Foundation of Zhejiang A&F University (Grant no. 2014FR077), the Fund for Innovative Research Team of Forestry Engineering Discipline (101-206001000713), Cooperation Project of Zhejiang Province and China Forestry Academy (Grant no. 2014SY13), and the Fund for National College students' Innovative Entrepreneurial Training Plan (201610341014).
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Copyright © 2017 Jin Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
Via a one-step ultrasonication method, cellulose nanofibril/graphene oxide hybrid (GO-CNF) aerogel was successfully prepared. The as-prepared GO-CNF possessed interconnected 3D network microstructure based on GO nanosheets grown along CNF through hydrogen bonds. The aerogel exhibited superior adsorption capacity toward four kinds of antibiotics. The removal percentages (R%) of these antibiotics were 81.5%, 79.5%, 79.1%, and 73.9% for Doxycycline (DXC), Chlortetracycline (CTC), Oxytetracycline (OTC), and tetracycline (TC), respectively. Simultaneously, the adsorption isotherms were well fitted to Langmuir model and kinetics study implied that the adsorption process was attributed to pseudo-second-order model. The maximum theoretical adsorption capacities of GO-CNF were 469.7, 396.5, 386.5, and 343.8 mg·g-1 for DXC, CTC, OTC, and TC, respectively, calculated by the Langmuir isotherm models. After five cycles, importantly, the regenerated aerogels still could be used with little degradation of adsorption property. Consequently, the as-synthesized GO-CNF was a successful application of effective removal of antibiotics.
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