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Green biosynthesis of Fe3O4 nanoparticles using Chlorella vulgaris extract for enhancing degradation of 2,4 dinitrophenol
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Received: ,
Accepted: ,
This article was originally published by Elsevier and was migrated to Scientific Scholar after the change of Publisher.
Peer review under responsibility of King Saud University.
Abstract
Objectives
This study aimed to provide the excellent role of Chlorella vulgaris extract as a green, reducing agent for improving and enhancing the effectiveness and performance of as-prepared NPs, which is higher than bare Fe3O4.
Methods
The extract of the algal cell of Chlorella vulgaris is used as a green, reducing agent was used to prepare green Fe3O4 NPs to improve and enhance the degradation effectiveness of 2,4 dinitrophenol (2,4 DNP) in their aqueous solution using UV irradiation. The as-synthesized bare Fe3O4 and green Fe3O4 NPs were characterized using UV–VIS spectroscopy, TEM, SEM, EDX, XRD, and FT-IR spectroscopy to determine bandgap energy, particle size, structural morphology, crystallite nature, phase structure, elemental compositions, and existed functional group.
Results
SEM and TEM images indicated that the as-synthesized NPs have a regular spherical shape with a mean size ranging between 13.68 and 31.71 nm. The energy bandgap (Eg) indicated the green Fe3O4 NPs have low values (2.73 and 2.3 eV) than bare Fe3O4 (2.89 eV). The maximum degradation of 2,4 DNP was achieved at pH = 8, 90 min contact time, 0.35 g/L catalyst dose, and 100 mg/L 2,4 DNP concentration.
Conclusion
The degradation results proved that green Fe3O4 NPs have more effectiveness than bare Fe3O4 NPs.
Keywords
Magnetite
Fe3O4
Photodegradation
2, 4 Dinitrophenol
Chlorella vulgaris
1 Introduction
Phenols and most of their derivatives are regarded as toxic pollutants to the surrounding environment (Mirza Hedayat et al., 2018). These compounds in the surrounding environment, especially in the foodstuff, cause possible hazardous effects on human life because of their high toxicity and carcinogenicity (Ali et al. 2019a). 2,4-DNP used pesticides, petrochemicals industries, dyes, and explosives (Zhang et al. 2016). Exposure to the high concentration of 2,4-DNP causes several health problems such as cell metabolism raising, cardiac disorder, and allergy.
Many researchers have been widely used advanced nanotechnology techniques to eliminate and remove different types of organic and inorganic pollutants, especially dyes and phenolic compounds; Congo red degradation (Ali et al. 2022; Karaman et al. 2022), methylene blue degradation (Li et al. 2022; Ali et al. 2019b), 2,4-dichlorophenol oxidation (Alturiqi et al., 2021), degradation of rhodamine B dye (Ali et al. 2018), and phenol degradation (Shaari et al. 2012).
Recently, the green synthesis of NPs has attracted the attention of numerous researchers due to their high advantages, and there are successful researches in the preparation of Fe3O4-NPs by using plant extract. For instance, green tea (Ananthi et al. 2022), Chamomile extract (Veisi et al. 2021), Chlorella vulgaris (Govarthanan et al. 2020), the leaf extract of Zanthoxylum armatum (Ramesh et al. 2018), Ulva flexuosa (Mashjoor et al., 2018), extract of Artemisia annua and leaf extract of Perilla frutescens (Basavegowda et al. 2014), Caricaya papaya (Latha and Gowri 2014), Tridax procumbens (Senthil and Ramesh 2012).
Naturally, iron oxides are found in different chemical forms; iron oxide (FeO), maghemite (γ-Fe2O3), and hematite (α-Fe2O3). Magnetite (Fe3O4) is the most common existing form. The magnetite crystal structure shows an inverse spinel pattern (Blaney 2007). Nonetheless, as points of nano-biocompatibility, the green synthesis of magnetic iron oxide (Fe3O4 NPs) is considered one of the advanced techniques by the green route. The green as-synthesized Fe3O4 NPs has characterized by low-cost, non-toxic, high availability, high surface area, sustainable, cleaner, biocompatible, and eco-environmentally more than the conventional chemo-physical technologies (Mashjoor et al. 2018).
As a result, the study's primary goals are: (i) green preparation of Fe3O4 NPs using Chlorella vulgaris and (ii) characterize the fabricate Fe3O4@C. vul. NPS uses different characterization methods. In addition, enhancing 2,4 DNP photodegradation under specific conditions such as pH of the solution, irradiation time, and catalyst dose.
2 Materials and methods
2.1 Chemicals and materials
All used chemicals in this study, including; ferrous sulfate heptahydrate (FeSO4·7H2O), ferric chloride hexahydrate (FeCl3·6H2O), ammonia solution (NH4OH), and 2,4 dinitrophenol were purchased from Sigma-Aldrich and Merck chemical companies in analytical grade. Chlorella vulgaris was obtained from National Research Center (NRC), Cairo, Egypt.
2.2 Culturing and sampling of Chlorella vulgaris
C. vulgaris was isolated from Manzala Lake, north of Egypt. The isolate species were purified by dilution and planting according to Sen et al. (2005) method (more details in Supplementary section).
2.3 Preparation of green iron oxide (Fe3O4.NPs)
Liu et al. (2008) methods was used to prepare iron oxide (Fe3O4) NPs using the co-precipitation (more details in Supplementary section).
2.4 Physical characterizations
UV–vis spectroscopy was carried out using (Shimadzu −2450, Tokyo, Japan) spectrometer. XRD examination was carried out using Philips X-ray diffractometer (Model PW-3710). SEM, TEM and EDX were carried out using a Zeiss-EVO emission scanning electron microscope (model Carl Zeiss, USA). FTIR was done using a spectrometer (6700FTIR, Nicolet, America).
2.5 Batch adsorption experiment
The degradation process of 2,4 DNP was investigated using as-synthesized Fe3O4, Fe3O4@C.vul (2:1), and Fe3O4@C.vul (1:1) in a photoreactor unit using UV irradiation. Different conditions that affect the 24 DNP degradation were investigated at different pH of the 2,4 DNP solution, several irradiation time intervals, different catalytic doses, and initial concentration of 2,4 DNP as important factors that affect the adsorption process (more details in Supplementary section).
The efficiency of the photocatalytic process (qe) was calculated according to the following equation Eqs. (1) and (2);
Where; V is the solution volume used, Ci initial 2,4 DNP concentration, Cr final 2,4 DNP concentration, and M is the mass of the catalyst (g).
3 Results and discussion
3.1 Characterization
The spectral absorption of UV–Vis showed that two strong bands appeared at 230 and 260 nm, indicating the presence of terpenoids, tannins, phenolic acid, alkaloids, carbohydrates, and flavonoids in green Fe3O4 NPs (Fig. 1a). These findings agree with the results obtained by Ramesh et al. (2018) for green Fe3O4 using Zanthoxylum armatum extract. Another weak band appeared at 360 nm, indicating Fe3O4 NPs formation (Ahmad et al. 2009).(a) UV–VIS spectra of diffuse reflectance and (b-d) plot of Tauc relation for estimation Eg of bare and green Fe3O4 NPs.
The energy band gap has been calculated using Tauc’s equation (Eq 3).
(αhu)2 = A (hu-Eg) Eq 3.
Figure (1b-d), indicates the energy bandgap of the bare Fe3O4 NPs and as-synthesized green Fe3O4 NPs. The calculated Eg are 2.89, 2.73, and 2.3 eV for as-synthesized Fe3O4 NPs. These values are considered suitable for using these nanoparticles as photocatalysts to degrade most organic compounds (Govarthanan et al. 2020). Moreover, the obtained Eg values are very close to those obtained by Ananthi et al. (2022), who reported Eg of 2.78 eV and 2.24 eV for as-prepared Fe3O4 NPs.
X-ray diffraction analysis was used to determine the crystallographic and phase structure of the green synthesized Fe3O4 NPs (Fig. 2). An observable peak appeared at d = 7.662 Å, corresponding to 2θ = 11.54 (JCPDS 85–1436), indicating the cubic phase of Fe3O4 (Ananthi et al. 2022). Several typical peaks belonging to Fe3O4 are appeared at 2θ = 30.21, 35.71, 44.61, 53.54, 57.0, and 62.64° corresponding to (2 2 0), (3 1 1), (4 0 0), (4 2 2), (5 1 1) and (4 4 0) respectively (JCPDS 65–3107) (Wang et al. 2022).XRD pattern of bare Fe3O4, Fe3O4@C vul. 2:1 and Fe3O4@C vul. 1:1 nanoparticle.
The external morphological structure of the surface of as-synthesized green Fe3O4 NPs was detected by SEM images. Fig. (3a&b) shows the SEM photos of prepared green Fe3O4 NPs, with regular aggregated spherical shapes with a highly porous surface (Ting and Chin 2020). The porosity of green Fe3O4 NPs plays an important role in increasing the degradation process of organic particles throughout the high adsorption efficiency of dye molecules (Ali et al. 2019a).SEM images of a) bare Fe3O4 and b) green Fe3O4 with C. vulgaris NPs. and EDX images of c) bare Fe3O4 and d) green Fe3O4 with C. vulgaris NPs.
Fig. 3 (c&d) shows the EDX spectrograms, bare Fe3O4 showed only two peaks, Fe (69.7 %) and O (30.3 %), indicating the formation of pure Fe3O4 only. Some minor peaks appeared in bio-Fe3O4 NPs (Fig. 3c) belonging to N (4.3), Si (3.1 %), and S (1.02 %). These findings are similar to those conducted by Wang et al (2022), who reported three peaks attributed to Fe (63.7 %), O (28.8 %), and C (7.5 %) in the formation of Fe3O4/pectin NPs.
TEM photos of bare Fe3O4 and green Fe3O4 NPs indicated that most formed NPs crystallites have a cubic-spherical shape with an average size ranging between 55.8 and 172.9 nm for bare Fe3O4 (Fig. 4a), and these diameters were diminished in the green Fe3O4 NPs and ranged between 13.68 and 31.71 nm (Fig. 4b).Transmission electron microscope (TEM) images of as-synthesized a) bare Fe3O4; b) Fe3O4@ C. vul (2:1), c) Fe3O4@ C. vul (1:1) NPs.
Three distinct peaks were appeared at 3675, 3386, and 2372 cm−1 in bio-Fe3O4 NPs while they don't appear in the bare Fe3O4 NPs (Fig. 5); the first peak at 3675 cm−1 due to stretching O—H vibration reveal existence of polyphenolic group, while the second peak at 3386 cm−1 attributed to the bending stretching N—H of amine group. The band at 2372 cm−1, belonged to stretching vibrations of CH2 (Mashjoor et al. 2018). Some intensive peaks appeared in all synthesized Fe3O4 NPs at 1715, 1616, and 1471 cm−1, corresponding to pectin-carbohydrate, and amide I groups. The peaks recorded at 1288, 1187, and 1152 cm−1 are characterized by asymmetric and symmetric stretching vibrations of the carboxyl group (–COOH) group, proving that green-Fe3O4 NPs due to the effect of algal extract (Senthil and Ramesh, 2012).FTIR Spectrum of bare Fe3O4; Fe3O4@C. vul (2:1) and Fe3O4@C. vul (2:1) NPs.
3.2 Batch experiments
3.2.1 Effect of pH
the pH of the altering the reaction conditions leading to affecting the absorption and degradation of the 2,4 DNP molecules (Rani et al. 2020). Thus, the decomposition of 2,4 DNP under the impact of various pH values (2–9) was carried out to investigate the photocatalytic activities of bio-Fe3O4 NPs (Fig. 6). The degradation reaction shows low degradation in acidic conditions (pH < 6) followed by gradual increase with increasing pH values till reaches maximum degradation at pH 8 with qe = 84.30, 85.8, and 86.4 mg/g for bare Fe3O4, Fe3O4@C. vul (2:1) and Fe3O4@C vul. (1:1) respectively. The increasing degradation in neutral and basic conditions owing to lowering of H+ ion and elevation of OH– at these conditions creates a negative charge on the catalyst NPs surfaces; therefore, favor adsorption of 2,4 DNP on the surface of catalysts occurred (Ramesh et al. 2018). Many studies by Chen et al. (2017), Rani and Shanker (2019), and Lu et al. (2013) indicated that the neutral and slight basic conditions were more suitable conditions for maximum photodegradation of phenolic derivatives (Table 1).Effect of pH on the degradation of 2,4 DNP (C0 = 100 mg/L, T = 25 °C) using green Fe3O4 NPs.
Organic substrate
Catalyst
pH
Conc. (mg/L)
Time (min)
Dose (g/L)
Eff. %
Ref
Methylene blue
Fe3O4 with Zanthoxylum armatum extract
11
15
180
*
70
Ramesh et al. (2018)
Bisphenol
H3PW12O40/TiO2.
8.2
20
240
6.3 %
90
Lu et al. (2013)
Phenol
Florsil –Pd(II)
*
20
180
0.5
80
Lupa et al. (2020)
2,4 DNP
Fe3O4@SiO2@TiO2/rGO
7
30
35
0.3
90
Mirza Hedayat et al. (2018)
2,4-DNP
CdHCC with Azadirachta indica leaf extract
7
50
12 h
0.25
97
Rani et al. (2020a)
2,4 DNP
BiOI/Fe3O4@GO
4
50
60
1
60
Singh et al. (2019)
2,4 DNP
ZnFe2O4-ZrO2
7.2
15
50
0.2
98
Chen et al. (2017)
Phenol
ZnO@FeHCF
7
2
24 h
0.25
91
Rani and Shanker (2019)
2,4 DNP
Fe3O4 with C. vulgaris
6
50
60
0.3
>85
Recent data
3.2.2 Effect of exposure time
The photodegradation of 2,4 DNP was carried out under different UV irritation times (5 – 120 min, Fig. 7). The results clearly showed two phases of the degradation of 2,4 DNP. The first is the rapid phase observed at the beginning of the reaction till it reaches 60 min due to the large accessibility of active sites on the catalyst surface. After that, the decrease of the availability of active sites as a result of its occupying the second phase has appeared with slowed dawn of the reaction till reached equilibrium at 90 min achieving maximum degradation efficiency with qe of 83.1, 86.6, 88.1 mg/g for used photocatalysts respectively (Fig. 7). Further increasing time, there was no further degradation of 2,4 DNP, indicating attain the reaction equilibrium (Ramesh et al. 2018). Singh et al. (2019) reported 60 min for maximum decomposition of 2,4 DNP using BiOI/Fe3O4@GO, while MirzaHedayat et al. (2018) reported 30 min as optimum contact time for breakdown of 2,4-DNP using Fe3O4@SiO2@TiO2/rGO (Table 1).Effect of contact time on the degradation of 2,4 DNP (pH = 8, C0 = 100 mg/L, T = 25 °C, and dose 0.35 g/L) using green Fe3O4 NPs.
3.2.3 Effect of dose
The degradation process applicability depends mainly on the used catalyst amount load. Thereby, various catalyst doses (0.05 – 0.4 g/L) were investigated for 2,4 DNP degradation (Fig. 8). A remarkable increase in reaction rate was observed with increasing catalyst dose from 0.05 g/L to 0.35 mg/L. The degradation efficiency of 2,4 DNP increased from 50 %, reaching a maximum of 83.8 %. With further increase of catalyst amount, there was no more degradation the reaction became declining (Fig. 8). The maximum degradation occurs due to the great availability of numerous active sites on the catalyst surface (Rani et al. 2020). Increasing the catalyst amount may lead to particle aggregation of catalyst and solution opaqueness, so the light scattered, and the reaction was deactivated (Ali et al., 2022). Some researchers supported our results, such as Chen et al. (2017) found that 25 mg/l is an optimum catalyst amount for degradation of 2,4 DNP using ZnFe2O4-ZrO2. In addition, MirzaHedayat et al. (2018) reported that 0.3 g/L of Fe3O4@SiO2@TiO2/rGO is the optimum dose for maximum degradation of 2,4 DNP.Effect of catalyst amount on the degradation of 2,4 DNP (pH = 8, C0 = 100 mg/L, T = 25 °C, t = 90 min) using green Fe3O4 NPs.
3.2.4 Effect of initial 2,4 DNP concentration
The results of different initial concertation of 2,4 DNP on the photodegradation process were studied as shown in (Fig. 9). It is observed a gradual decrease of removal percentage from 95 % for 10 mg/L concentration of 2,4 DNP till reaches 84.5 % at 100 mg/L of 2,4 DNP. The very low concentration of DNP doesn't express the real degraded amount of 2,4 DNP. At the same time, this low amount is consumed completely while the active sites are still empty. Calculating the maximum efficiency qe using Eq (1) indicated low qe (9.32 mg/g) for 10 mg/L DNP. The maximum qe (86.6 mg/g) was achieved at 100 mg/L. A further increase of 2,4 DNP concentration led to a lowering of the photodegradation ability of the catalyst (Rani and Shanker 2020). The decrease of the photodegradation process at a high concentration of 2,4 DNP is mainly attributed to the formation of intermediates in a lot of quantity which may compete with the 2,4 DNP particles and absorb UV light, leading to reducing the efficiency of the degradation process (MirzaHedayat et al. 2018).Effect of initial concentration of 2,4 DNP on the degradation process (pH = 8, T = 25 °C, t = 90 min) using green Fe3O4 NPs.
4 Isotherms studies
Langmuir and Freundlich models, were applied to investigate the photodegradation process. The obtained results (Table S1, Figs S1 and S2) show that the correlation coefficient (R2) is almost > 0.99 for the used two isothermal models indicating that both Freundlich and Langmuir models well fit the photodegradation process of 2,4 DNP for all used Fe3O4 NPs (supplementary data).
5 Kinetics models
To predict the variation of the adsorbate concentration (2,4DNP) through the experimental time using the catalyst, two commonly known kinetic models were used (Table S2, Figs S3 & S4). The obtained results proved that the degradation of 2,4 DNP obeyed the pseudo-second-order reaction with qe values ranging between 43.47 and 44.05 mg/g and the corresponding R2 > 0.99 (more details in supplementary data).
6 Conclusion
In this current work, the green synthesis of Fe3O4 NPs using extract of algal cells of Chlorella vulgaris is regarded as a promise a novel, promise, eco-friendly effective, and cheap photocatalyst for the degradation of 2,4-DNP from the aqueous solution under UV light. SEM and TEM images indicated that the as-synthesized NPs have a regular spherical shape with a mean size ranging between 13.68 and 31.71 nm. The calculated Eg from Tauc's plot indicated the green Fe3O4 NPs have low values (2.73 and 2.3 eV) than bare Fe3O4 (2.89 eV). The photodegradation of 2,4DNP was carried out under specific conditions; pH of the solution, duration time, catalyst dose, and initial 2,4 DNP concentration to investigate the optimum condition and achieve maximum degradation process. The obtained results showed that basic condition (pH = 8), 90 min contact time, 0.35 g/L catalyst dose, and 100 mg/L 2,4 DNP concentration are the most favorable conditions for the degradation process. The degradation process has shown significant effectiveness using green Fe3O4 NPs more than bare Fe3O4 NPs. The studied isothermal models indicated that both Freundlich and Langmuir models better fit the photodegradation process. Moreover, the lowering value of qmax for bare Fe3O4 than green Fe3O4 NPs proves that Chlorella vulgaris extracted greatly improves the properties of Fe3O4 catalyst and enhances its degradation efficiencies. Kinetically, the results showed that the pseudo-second-order reaction better expresses the adsorption reaction type than the pseudo-first-order reaction model.
Acknowledgement
The authors extend their appreciation to the Deputyship for Research & Innovation, Ministry of Education in Saudi Arabia for funding this research work through the project no. (IFKSURG-2-120).
Declaration of Competing Interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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