Imran Ali
a,
Changsheng Peng
*a,
Iffat Naz
*b,
Zahid M. Khan
c,
Muhammad Sultan
c,
Tariqul Islam
a and
Irfan Ahmed Abbasia
aCollege of Environmental Science and Engineering, Ocean University of China, Qingdao 266100, China. E-mail: cspeng@ouc.edu.cn
bDepartment of Biology, Scientific Unit, Deanship of Educational Services, Qassim University, Buraidah 51452, Kingdom of Saudi Arabia. E-mail: iffatkhattak@yahoo.com
cDepartment of Agricultural Engineering, Bahauddin Zakariya University, Bosan Road, Multan 60800, Pakistan
First published on 16th August 2017
Presently, there is an emerging research trend in the fabrication of Phytogenic Magnetic Nanoparticles (PMNPs) and their applications in the water/wastewater treatment (WWT), due to their dynamic morphology, desired size, super paramagnetic behavior and high saturation magnetization value. Green fabrication of PMNPs is clean, non-toxic, eco-friendly, fast and cost-effective as compared to other physico-chemical technologies, which make it a promising technology. However, certain aspects such as the optimization of the fabrication protocol in order to produce desired quality of PMNPs, regeneration and reusability, are the main hindrances in the transfer of this technology from the laboratory scale to the commercial applications. Therefore, the present study highlights the performance of PMNPs for the removal of aqueous pollutants from wastewater. In addition, the research developments of PMNPs regarding fabrication mechanism, regeneration and reusability for WWT are discussed. The study also provides a model of PMNPs based on zero effluent discharge and consequently, the WWT process is proposed. Finally, future perspectives and challenges are discussed to make PMNPs based green nanotechnology technically more feasible and economically sustainable.
Among all biogenic methods, green fabrication of the PMNPs can be performed at safe temperature and pressure. Moreover, plant metabolites (e.g. polyphenol, amino acids, polysaccharides) can be utilized as reducing and capping agents for the reduction of metal ions due to their reductive capacities.8,9 Employment of the PMNPs has been observed in biomedicine and environmental protection applications.10 While in WWT processes, PMNPs have depicted superior performance in the removal of toxic dyes, pigments, refractory/persistent pollutants and recovery of the heavy metals. Moreover, most researchers reported that PMNPs are better than conventional nanoparticles (NPs), particularly in terms of adsorptive removal and resources recovery.11–14
PMNPs can be employed in the removal of aqueous pollutants and the recovery of metallic ions due to the presence of organic functional groups (e.g. polyphenols, amino acids, sugars, alkaloids, terpenoids, proteins, carbonyl, carboxyl, and polysaccharides), unique morphology, desired size, super paramagnetic behavior and high saturation magnetization valve from wastewater.15,16 Most often, PMNPs act like the ion-exchange resins and pollutants can be removed via electrostatic attractions due to the presence of specific organic functional groups from plant metabolites. In addition, desired standard and morphology of the PMNPs can be achieved by modifying the fabrication protocol and by manipulating the organic functional groups for specific pollutants removal from wastewater. While, super paramagnetic behavior and high saturation magnetization value of PMNPs is also fascinating the WWT experts because they can be easily separated from final effluents and can be reused in consecutive treatment cycles,2 particularly in the recovering of heavy and precious metals for competing industrial demand.8,15,17
However, some aspects such as optimization of fabrication protocol for bulk production, controlled morphology and size, biocompatibility, employment of specific organic functional groups and fate of organic functional groups during targeted pollutants removal are hindered to transfer the PMNPs base technology from laboratory to commercial applications. Furthermore, loss of the PMNPs stability particularly due to the degradation of organic functional groups and iron leakage during pollutants removal can influence the WWT treatment performance, its reusability and resource recovery potential.13,18,19
Therefore, this review is an attempt to highlight performance of PMNPs in WWT, especially employment of the PMNPs in the removal of aqueous pollutants from wastewater. Further, detailed information are also considered regarding pollutants elimination mechanisms, regeneration and reusability of PMNPs and potential of resource recovery. Herein, inspired by the published reports, a model of the PMNPs based on zero effluent discharge WWT system is proposed particularly for developing and under developing economies. Moreover, most recent developments in the fabrication mechanisms of the PMNPs from various plants and their parts are taken into account and appreciated.
Fig. 1 depicts that there are two main ways to fabricate NPs such as top down and bottom up.23 In top down approach, physical means are employed to fabricate NPs.9 On the other side, chemical and biological approaches are used in bottom up method.15 Generally, physical and chemical methods are employed to manufacture NPs with desire quality and quantity.24 However, these methods are hazardous and harmful to environment and human beings due to the use of toxic chemicals and the prerequisites of high temperature and pressure. Employment of NPs for WWT are superior to others technologies but have limitations such as separation from final effluents, and adverse ecotoxicological effects. These shortcomings are hindering its application in the WWT and deviated research studies towards the development of noble NPs, such as magnetic nanoparticles (MNPs), which can be easily recovered from the effluent. Fig. 2 shows the rapidly changing trend in the fabrication of NPs and their applications in the WWT. However, the manufacturing approaches of MNPs slowed down its applications due to the use of toxic and hazardous chemicals required as a reducing, capping and stabilizing agent for its production.7 Hence, there is a need to explore non-toxic, less energy consuming and environmental friendly methods to fabricate MNPs without using toxic and hazardous chemicals. In this regard, currently bio-reduction method using plants, microbes and templates is gaining great attention as an alternative method especially for synthesis PMNPs with desired qualities for WWT.4
Fig. 3 depicts that two biological processes i.e. Biological Induced Mineralization (BIM) and Biologically Controlled Mineralization (BCM), which are well known for the synthesis of biogenic MNPs. In BIM, bacterial cell wall/membrane filtrate is treated with metal ions solution keeping in the shaker in dark at room temperature and pressure and NPs are formed as a result of oxidation and reduction process.7 However in BCM, BMNPs are formed into the cells under well-defined condition and the nucleation and growth of the NPs are completely controlled by the organisms.4 This is the reason; the BMNPs synthesized by BCM processes are better in shape and size distribution than BIM process.26 Both types of BMNPs have been employed in the removal of pollutants and recovery of metals for industrial reuse. The well-known magnetotactic bacteria (MTB) are produced magnetosomes (MS) via BCM process, have been utilized in the removal and recovery of metals ions from industrial effluents.30–33 MTB have shown superior performance than others MNPs because MTB can be easily separated from final effluents just using its naturally available magnetic nature. However, some challenging aspects such as isolation, characterization, well-defined culture preparation requirements e.g. oxygen, pH, temperature, nutrients, iron supply and yield production are mainly hampered for it practical applications.1,34–37 Hence, it was our need to discover an alternate approach to fabricate MNPs using plants via green nanotechnology. Moreover, plant based fabrication of biogenic MNPs (i.e. PMNPs) is simple, clean, non-toxic, environmental friendly and bulk amount of NPs can be manufactured using minimum raw materials. The biomolecules (polyphony, aldehyde, carboxyl and amino acids groups) in plant extracts can be performed as both reducing and capping agents during fabrication.38 These biomolecules might be helpful in reducing pollutants strength and can be separated from final effluents via using magnet.4 The potential application of the PMNPs in environmental nano-biotechnology particularly in WWT could resolve nanotechnology implementation problems.7
Fig. 3 Fabrication of biogenic magnetic nanoparticles (BMNPs) by biologically induced (BI) and biologically controlled (BC) mineralization processes. |
Fig. 4 Research developments about the fabrication and applications of phytogenic magnetic nanoparticles (PMNPs) in wastewater treatment (WWT). |
Plant extracts (polyphenol) + 2FeCl3·6H2O → nZVI/Fe0–plant extract | (i) |
FeSO4·7H2O + 2FeCl3·6H2O + 8NH4OH → Fe3O4 + 6NH4Cl + (NH4)2SO4 + 17H2O | (ii) |
Fe3O4 + plant waste + 17H2O → plant waste–Fe3O4 | (iii) |
Fig. 5 Chemical structures of some plant metabolites commonly used in the fabrication of phytogenic magnetic nanoparticles (PMNPs). |
PMNPs | Plant/plant extracts | Metal solution (s)/precursor | Reducing and capping agents | Specific surface area (m2 g−1) | Ms (emu g−1) | Magnetic nature | Morphology (size and shape) | Characterization | Ref. |
---|---|---|---|---|---|---|---|---|---|
a Key: TEM: transmission electron microscopy; XRD: X-ray diffraction; SEM: scanning electron microscopy; SAED: selected area electron diffraction; XPS: X-ray photoelectron spectroscopy; FTIR: Fourier transformed infrared analysis; SQUID: superconducting quantum interference device; EDX: energy dispersive X-ray spectroscopy; BET: Braunauer–Emmett–Teller; VSM: vibrating sample magnetometer; TGA: thermal gravimetric analysis; EDS: energy dispersive spectroscopy; FESEM: Field Emission Scanning Electron Microscope; EDXRF: Energy Dispersive X-ray Fluorescence; PXRD: Powder X-ray Diffraction; NMR: nuclear magnetic resonance; AFM: atomic force microscope. | |||||||||
GT–nZVI | Green tea (Camellia sinensis) | Fe(NO3)3, FeCl3 | Polyphenols, caffeine | — | — | — | 5–15 nm, spherical | TEM, XRD | 61 |
GT–nZVI | Tea polyphenols | Fe(NO3)3 | Polyphenols, caffeine | — | — | — | 40–50 nm, spherical | TEM, XRD | 62 |
Fe3O4 | Soya bean sprouts (SBS) | Fe(NH4)2(SO4)2·6H2O, FeCl3·6H2O | Protein, amino acids, polysaccharide, carboxylate groups | — | 37.1 | Superparamagnetic | 8 nm, spherical | SEM, TEM, SAED, XRD, XPS, FTIR, SQUID | 57 |
GT–Fe NPs | Green tea leaves | FeCl2·4H2O | Polyphenols | — | — | — | 40 nm and 60 nm | TEM, SEM/EDX, XPS, XRD, and FTIR | 63 |
Fe3O4–TW | Tea waste | FeCl3·6H2O, FeCl2·4H2O | Polyphenols, carboxyl group, secondary amine group | 27.5 | — | — | Spherical and cage-like | BET, SEM, TEM, FT-IR | 64 |
Fe3O4 | Green tea extract | FeCl2 | Polyphenols | 25 | — | — | 20–30 nm, spherical | FTIR, SEM, EDX, XRD | 65 |
Fe3O4–MCP | Maize cob | FeCl3·6H2O, FeCl2·4H2O | — | — | — | — | — | — | 66 |
Fe3O4–OPP | Orange peel powder (OPP) | FeCl3·6H2O, and FeSO4·7H2O | Carboxyl groups | 65.19 | 68.1 | Superparamagnetic | 32–35 nm | FTIR, SEM, XRD, TEM, VSM | 67 |
Fe3O4 | Tridax procumbens | FeCl3 | Carbohydrates, aldehyde groups | — | — | — | 80–100 nm, irregular sphere | XRD, SEM, FTIR | 68 |
Iron oxide | Pine wood shavings | FeCl3·6H2O | Tannin | — | — | — | D: 300 nm; L: 100 nm, irregular rod | XRD, SEM, TGA | 46 |
ZVI–NPs | Terminalia chebula fruit | FeSO4–7H2O | Polyphenols | — | — | — | Less than 80 nm, amorphous | XRD, TEM, FTIR, XRD, TEM, EDS | 69 |
Fe3O4–MNPs | Plantain peel | FeCl3·6H2O | Carbohydrates proteins, lipids, fibers and polyphenols | 11.31 | 15.8 | — | Below 50 nm, spherical | XRD, EDS,FTIR, TEM, VSM, XRD, BET | 47 |
ZVI–NPs | 26 different tree species leaf | FeCl3·6H2O | Polyphenols | — | — | — | 10–20 nm, spherical | TEM | 48 |
nZVI | Grape marc, black tea and vine leaves | FeCl3·6H2O | — | — | — | — | 15 and 45 nm | — | 58 |
GT–Fe NPs | Green tea extract | FeSO4 | Carbonyl groups, polyphenols and caffeine | — | — | — | 40–60 nm | SEM, EDS, XRD, FTIR | 70 |
nZVI | Azadirachta indica (Neem) | FeCl3 | — | — | — | — | 50–100 nm, spheres | XRD, SEM | 71 |
Fe3O4 | Aloe vera | FeCl3 | — | — | 71.678 | Superparamagnetic | ∼6–30 nm, crystalline | BET, SEM, TEM, FT-IR, XRD, SAED | 49 |
Fe3O4–NPs | Brown seaweed (BS, Sargassum muticum) | FeCl3·6H2O, FeCl3 | Sulphated polysaccharides | — | 22.1 | 18 ± 4 nm, cubic | XRD, FTIR, FESEM, EDXRF, VSM, TEM | 72 | |
ORS/Fe3O4/PCL–NCs | Rice straw | FeCl3·6H2O, FeCl2·4H2O, octadecylamine (ODA), dichloromethane | Aliphatic esters in lignin or hemicelluloses cellulose, lignin and residual of hemicelluloses | — | ∼92 | Superparamagnetic | 9.93 ± 2.42 nm, spherical shape | XRD, SEM, TEM, TGA, FTIR | 50 |
DMSA@Fe3O4 MNRs | Punica Granatum rind | FeCl3·6H2O | Polyphenols carbohydrates, acid derivatives, proteins, lipids, and fibers | 10.88 | 22.7 | Ferromagnetic | D: 40 nm, L: above, 200 nm, nano-rod | XRD, FTIR, TGA, TEM, EDX, VSM | 51 |
SMNPs | Syzygium cumini (S. cumini) | FeCl3·6H2O | Carbohydrates, polyphenol, flavanoides acid derivatives, proteins, lipids and fibers | 3.517 | 13.6 | Ferromagnetic | 9–20 nm, inverse spinel cubic | XRD, TEM, EDS, VSM, FTIR | 51 |
GnIP–chitosan composite | Mint (Menthaspicata L.) | Fe(NO3)3 | Amino acids, saccharides, lipids | — | — | — | 20–45 nm, core–shell | SAED, XRD, EDAX, FTIR | 52 |
GT–Fe and EL–Fe | Green tea, eucalyptus leaves | FeSO4 | Polyphenols | — | — | — | 20–80 nm, quasi-spherical | SEM, EDS, XRD, FTIR | 73 |
Fe NPs | Oolong tea | FeSO4 | Polyphenols and caffeine | — | — | — | 40–50 nm, spherical | SEM, EDS, XRD, FTIR | 74 |
MION–tea | Tea waste template | FeCl3·6H2O | Polyphenols, caffeine | — | 6.9 | Superparamagnetic | 5–25 nm, cuboid/pyramid | TEM, XRD, VSM, FTIR, SEM | 15 |
nZVI | Turmeric (Curcuma longa L.) leaves | FeCl3, ammonium iron(II) sulfate | Polyphenols, aldehydes | — | — | — | 23.8 nm | XRD, FTIR, SEM | 53 |
AMMC–Fe3O4 | Maize cob | FeCl3·6H2O, FeCl2·4H2O | CH2–O–H, C–NH2, C–O–NH2 | 23.4877 | — | — | — | XRD, SEM, EDX, SEM, EDX, TEM, FTIR | 75 |
nZVI (26 different tree species) | Pear tree leaf extracts | Iron(III) | Amino acids, caffeine and polyphenols | — | — | — | Rectangular | EDS, TEM, XRD | 16 |
Eucalyptus and nut tree leaf extracts | 100 nm, cylindrical | ||||||||
Mulberry, cherry, pomegranate, pine, mandarin, orange, and strawberry leaf extracts | 5–10 nm, spherical | ||||||||
CSNPs | Vitis vinifera (grape) stem | FeCl3·6H2O | Carbohydrates and polyphenols | — | 15.74 | Ferromagnetic | Below 50 nm, core shell | XRD, EDS, FTIR, TEM, SAED, VSM, XRD | 19 |
DEAMTPP@Fe3O4 MNP | Ananas comosus peel pulp extract | FeCl3·6H2O, DEAMTPP | Sugars, esters, polyphenols, avonoids | 11.25 | 16.9 | Ferromagnetic | 10–16 nm, spherical | PXRD, TEM, EDS, VSM, FTIR, NMR, TGA | 8 |
DHPCT@Fe3O4 MNPs | Watermelon (Citrullus lanatus) rind extract | FeCl3·6H2O, DHPCT | Carbohydrates and polyphenols | 9.58 | 24.7 | Ferromagnetic | 5–20 nm, spherical | XPS, PXRD, TEM, EDS, VSM, FTIR, TGA | 54 |
Fe3O4@2D–CF composite | Waste onion sheathing (Allium cepa) | FeCl3·6H2O | Carbohydrates and polyphenols | — | 52.6 | Superparamagnetic | 7 nm spherical | XPS, PXRD, TEM, EDS, VSM, FTIR, TGA | 55 |
α-Fe2O3 | Aloe vera leaf | FeCl3 | Amino acids | 18.8 | — | — | 100 nm, nano-rod | EDS, FESEM, TEM, XPS, BET, FTIR | 9 |
NZVI | Rosa damascene (RD) | FeCl2·4H2O | Polyphenols, proteins, organic acids | 1.42 | — | — | 100 nm | SEM, FTIR, EDS, XRD BET | 18 |
Thymus vulgaris (TV) | 1.63 | ||||||||
Urticadioica (UD) | 2.42 | ||||||||
MNPLB | Lagerstroemia speciosa bark (LB) | FeCl3·6H2O, and FeSO4·7H2O | Hydroxyl group, carboxyl group, polysaccharides | 52.791 | — | Superparamagnetic | 18.54 nm, spherical | SEM-EDX, TEM, BET, FT-IR, XRD TGA | 13 |
Fe3O4 | Starch-rich potato | FeSO4·7H2O | Starch-rich potato | — | 28.78 | Superparamagnetic, | 40.08 nm, face centered cubic (FCC) | XRD, TEM, TGA, FTIR, SEM/EDX, and VSM | 14 |
Fe3O4 | Mangifera indica, Murray aKoenigii, Azadiracta indica, Magnolia champaca | FeSO4·7H2O | Saponins, phenols and tannins phenol, aliphatic, hydrocarbons, and aromatic groups | — | — | — | 96–110 nm, spherical | SEM, EDS, FTIR | 12 |
Fe3O4–MNPs | Ridge gourd peels (RG) | FeCl3 | — | 26.21 | 17.3 | Ferromagnetic | 20–35 nm, spherical | XRD, FT-IR, BET, FESEM, VSM, TEM | 11 |
Magnetized iron-oxide | Lonicera japonica flower biomass (IO-LJFP) | FeSO4·7H2O | Aromatic, aliphatic groups | 235 | 36.40 | Paramagnetic | 60 nm, spherical | FTIR, SEM, XRD, SQUID. EDS, AFM | 60 |
INPB | Eucalyptus extract | Fe(NO3)3·9H2O | — | — | — | — | — | XRD TEM | 3 |
PS–Fe3O4 MNP | Pisum sativum peels (PS) | FeCl3·6H2O | — | ∼17.6 | 64.2 | Ferromagnetic | 20–30 nm, spherical | FTIR, XRD, TEM, BET and Raman spectroscopy | 2 |
MISFNPs | Cnidium monnieri (L.) Cuss (CLC) | FeCl3·6H2O, FeCl2·4H2O | Phenylpropanoids (coumarin derivates, those contain aromatic olefins, hydroxyl, and methoxy functions) | 122.54 | 54.60 | Superparamagnetic | 20–45 nm | PXRD, FT-IR, SEM-EDX, SEM, BET, AFM and XPS | 1 |
Fig. 7 X-ray diffraction (XRD) analysis patterns of fabricated biogenic magnetic nanoparticles (BMNPs) using Aloe vera plant-extracted solution (under (a) different hydrothermal temperatures and (b) different hydrothermal times) and high resolution transmission electron microscopic (TEM) images under different hydrothermal time and temperature: (a) 180 °C/2 h; (b) 200 °C/2 h; (c) 220 °C/2 h; (d) 200 °C/4 h; (e) 200 °C/8 h; and (f) 200 °C/12 h (reproduced from Phumying et al.49 Copyright@2012, with permission from Springer). |
It is well known fact that, for adsorption of toxic pollutants, adsorbent should have super paramagnetic in nature with high value of Ms. If an adsorbent is super paramagnetic in nature, then there will be no attraction and repulsion among the particles in the absence of an external magnetic force, which mean a zero moment will exist in the absence of an applied external magnetic field and thereby will help during separating adsorbent from final effluent. If higher the Ms value then it will give excellent response to applied external magnetic field, which eventually will minimize the applied external magnetic energy and operational cost of the treatment system.
Fig. 8 Influence of phenolic content/plant metabolites on the antioxidant capacity: results obtained by comparing Ferric reducing antioxidant power (FRAP) and Folin–Ciocalteu methods (reproduced from Machado et al.48 Copyright@2013, with permission from Elsevier). |
Therefore, it can be concluded from these studies that plant antioxidant capacity, Ms, reactivity, and magnetic behavior could be varied by manipulating fabrication protocol such as temperature, pH, contact time, type of solvent, plant extract concentration and metal ions solution concentration.
Furthermore, desire quality of PMNPs was fabricated using minimum cost and energy by optimizing manufacturing procedure (Fig. 9). Thus, more research efforts are needed to address this aspect.
Fig. 9 Transmission electron micrograph (TEM) showing morphology of the phytogenic magnetic nanoparticles (PMNPs), reproduced from (a) Lingamdinne et al.,1 Copyright@2017, with permission from Elsevier (b) Prasad et al.,2 Copyright@2017, with permission from Elsevier (c) Venkateswarlu et al.,17 Copyright@2014, with permission from King Saud University and Elsevier, (d) Lunge et al.,15 Copyright@2014, with permission from Elsevier (e) Buazar et al.,14 Copyright@2016, with permission from John Wiley and Sons (f) Machado et al.,16 Copyright@2015, with permission from Elsevier. |
Fig. 10 Schematic of our proposed phytogenic magnetic nanoparticles (PMNPs) based zero effluent discharge water/wastewater treatment (WWT) process. |
Pollutant(s) | PMNPs | Ci (mg L−1) | CPMNPs (g L−1) | R.E/qeb/Y | tec | T (°C) | pHd | Kinetic model | Isotherm | Ms (emu g−1) | Size, shape | Removal/adsorption mechanism | Characterization | Reference |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
a Key: Ci: initial pollutant concentration (mg L−1); R.E: removal efficiency (%).b Biosorption capacity (mg g−1); Y: biosorption yield (%); CPMNP: phytogenic MNPs/biomass concentration (g L−1).c Equilibrium time (or maximum time); Temkin: T; B: Boyd's model; T: temperature (range or at which maximum biosorption occurs).d pH value (or range) at which maximum adsorption occurs; P-1: pseudo first order; P-2: pseudo second order; L: Langmuir; F: Freundlich; Ms: saturation magnetization; D: diameter; L; length; TEM: transmission electron microscopy; XRD: X-ray diffraction; SEM: scanning electron microscopy; SAED: selected area electron diffraction; XPS: X-ray photoelectron spectroscopy; FTIR: Fourier transformed infrared analysis; SQUID: superconducting quantum interference device; EDX: energy dispersive X-ray spectroscopy; BET: Braunauer–Emmett–Teller; VSM: vibrating sample magnetometer; TGA: thermal gravimetric analysis; EDS: energy dispersive spectroscopy; FESEM: Field Emission Scanning Electron Microscope; EDXRF: Energy Dispersive X-ray Fluorescence; PXRD: Powder X-ray Diffraction; NMR: nuclear magnetic resonance; AFM: atomic force microscope; —: not given. | ||||||||||||||
Bromothymol blue | GT–nZVI Fe | 500 | 0.33 mM with 2% H2O2 | 0.1447/min−1 | — | — | 6 | — | — | Spherical 5–15 nm | Electrostatic attraction | TEM and XRD | 61 | |
Ni(II) | Fe3O4–TW | 100 | 0.60 g | 94%, 38.3 mg g−1 | 120 min | 30 | 4 | P-1 | L | Spherical | Combination of electrostatic and ion exchange | BET, SEM, TEM, FT-IR | 64 | |
TCE | Fe3O4–TW | 30 | 13.2 cm2 external area and 125 m thickness | 27% | 6 h | 25 | 7 | 20–30 nm, spherical | Combination of electrostatic and ion exchange | FTIR, SEM, EDX, XRD | 65 | |||
MB | GT–Fe NPs | 50 | 50.0 mg to solutions containing 5.0 mL of 10.0% H2O2 | 80% | 60 min | 25 | <4.0 | P-2 | 40 nm and 60 nm | Combination of electrostatic and chemical diffusion | TEM, SEM/EDX, XPS, XRD, and FTIR | 63 | ||
MO | P-1 | |||||||||||||
Cd2+ | MNP–OPP | 16 | 0.2 | 76.92 mg g−1 96.0% | 40 min | 45 | 7 | P-2 | L | 68.1 | 32–35 nm spherical | Electrostatic attraction | FTIR, SEM, XRD, TEM and VSM | 67 |
P | Iron oxide | 500 | 0.3 g | 43.7 mg g−1 | 1 day | — | 7.0 | — | F | — | 100 nm, irregular rod like and spherical length | Combination of electrostatic and surface precipitation | XRD, SEM, TGA | 46 |
MB | Fe3O4–MCP | 100 | 0.2 | 93.11% | 5 min | 27 | 6 | P-2 | 125 μm | Electrostatic attraction | 66 | |||
Ibuprofen | Black tea–nZVI | 10 | 1.5 mL | 32% | 60 min | — | 3 | — | — | — | 15–45 nm | Electrostatic attraction | — | 48 |
Grape marc | 6.0 mL | 30% | ||||||||||||
Vine leaves | 9.0 mL | 42% | ||||||||||||
MG | GT–Fe NPs | 50 | 1.12 | 96% | 60 min | 25 | 6 | P-1 | 40–60 nm | Chemical diffusion | SEM and EDS. XRD, FTIR | 70 | ||
Pb(II) | DMSA@Fe3O4 MNRs | 20 | 0.1 | 46.18 mg g−1, 96.68% | 60 min | 28 | 5.0 | P-2 | L | 22.7 | D: 40 nm L: above 200 nm, rod | Electrostatic attraction | XRD, FTIR, TGA, TEM, EDX, VSM | 51 |
Nitrate | GT–Fe | 20 | 1 | 59.7%, 13.06 mg g−1 | 120 min | 25 | 5.79 | P-2 | — | — | 20–80 nm, quasi-spherical shaped | Electrostatic attraction and co-precipitation | SEM, EDS, XRD, FTIR | 73 |
EL–Fe | 41.4%, 9.698 mg g−1 | |||||||||||||
MG | OT–FeNP | 50 | 0.01 g | 75.5% | 60 min | 25 | P-1 | — | — | 40–50 nm spherical | Chemical diffusion | SEM, EDS, XRD, FTIR | 74 | |
As(III) | MION–tea | 2 | 0.25 | 188.69 mg | 600 min | 40 | 7.0 | P-2 | L | 6.9 | 5–25 nm cuboid/pyramid | Electrostatic attraction | TEM, XRD VSM, FTIR SEM | 15 |
As(V) | 153.8 mg g−1 | |||||||||||||
N | EL–Fe NPs | 25.57 and 10.55 | — | 71.7% | 21 days | — | 5.79 | — | — | — | 20–80 nm, spheroidal | Electrostatic attraction and co-precipitation | SEM, EDS, XRD, FTIR | 73 |
P | 30.4% | |||||||||||||
COD | 84.5% | |||||||||||||
As(III) | GnIP–chitosan composite | 100 | 2 | 98.79%, 86.53 mg g−1 | 30 min | 30 | — | P-2 | L | — | 20–45 nm, core–shell | Electrostatic attraction | SAED, XRD, FT-IR, EDAX | 52 |
As(V) | 99.65%, 94.67 mg g−1 | |||||||||||||
Ni(II) | 3MPA@Fe3O4 MNPs | 80 | 0.1 | 42.01 mg g−1 | 60 min | 30 | 6 | P-2 | L | 14.02 | 11–18 nm rod | Electrostatic attraction | FTIR, TEM, EDS, VSM | 76 |
Cd(II) | DEAMTPP@Fe3O4 MNP | 60 | 0.1 | 96.1%, 49.1 mg g−1 | 60 min | 25 | 6 | P-2 | L | 16.9 | 10–16 nm, spherical | Electrostatic attraction | PXRD, TEM, EDS, VSM, FTIR, NMR, TGA | 8 |
Hg(II) | DHPCT@Fe3O4 MNPs | 60 | 0.10 | 98%, 52.1 mg g−1 | 60 min | 30 | 7 | P-2 | L | 24.7 | 5–20 nm, spherical | Electrostatic attraction | XPS, PXRD, TEM, EDS, VSM, FTIR, TGA | 54 |
PO4 | Fe2O3 | — | — | 82% | — | — | — | — | — | — | — | Electrostatic attraction | — | 53 |
COD | 83% | |||||||||||||
MB | AMMC–Fe3O4 | 156 | 0.75 | 99.63% | 36 min | 38.4 | 10.31 | P-2 | L | 6.32 nm | Electrostatic attraction | XRD, SEM X-EDX, TEM, FTIR | 75 | |
COD | 99.48% | |||||||||||||
Cr(VI) | Peach, pear and vine leaf extract | 2 | 100 μL of leaf extract and 5 μL of 0.1 mol L−1 iron(III) solution | 78% | — | — | — | — | — | — | 5–100 nm, rectangular | Electrostatic attraction | EDS, TEM, XRD | 16 |
Lemon | 29% | 5–100 nm, spherical | ||||||||||||
Pine leaf | 23% | 5–100 nm, spherical | ||||||||||||
As(V) | α-Fe2O3 | 2–30 | 0.5–2 | 38.48 mg g−1 | 45 min | 20 | 6–8 | P-2 | L | — | 100 nm, rod | Electrostatic attraction | EDS, FESEM, TEM, XPS, BET, FTIR | 9 |
Cr(VI) | TV–Fe | 100 | 0.2 | 91.75%, 466 mg g−1 | 25 min | 2 | P-2 | — | — | 100 nm | Electrostatic attraction | SEM, FTIR, EDS, XRD, BET | 18 | |
UD–Fe | 93.2%, 462 mg g−1 | 25 min | ||||||||||||
RD–Fe | 92.55%, 453.7 mg g−1 | 30 min | ||||||||||||
Cr(VI) | L. speciosa bark | 100 | 0.4 | 434.78 mg g−1 | 90 min | 35 | 2.05 | P-2 | L | — | 18.54 nm, spherical | Electrostatic attraction | SEM-EDX, TEM, BET-FT-IR, XRD and TGA | 13 |
As(III) | Fe3O4@2D–CF composite | 60 | 0.10 | 98%, 57.47 mg g−1 | 60 min | 25 | 7 | P-2 | L | 52.6 | 7 nm spherical | Combination of electrostatic and ion exchange | XPS, PXRD, TEM, EDS, VSM, FTIR, TGA | 55 |
Total phosphates | AI–FeNPs | — | — | 98.08% | 15 day | 6.5 | — | — | — | 96–110 nm and 99–129 nm, spherical | Electrostatic attraction | SEM, EDX, FTIR | 12 | |
Ammonia nitrogen | 84.32% | |||||||||||||
COD | 82.35% | |||||||||||||
MB | RG–FeMNPs | 120 | 0.2 | ∼96% | 30 min | 25 | — | — | — | 17.3 | Spherical, 20–35 nm | Electrostatic attraction | XRD, FTIR, BET, FESEM, VSM and TEM | 14 |
Pb(II) | IO–LJFP | 20.0 | 1.0 | 98.7% | 60 min | 25 | 6.0 | P-2 | L | 36.40 | 60 nm, spherical | Electrostatic attraction | FTIR, SEM, XRD, SQUID. EDS, AFM | 60 |
Cu(II) | 60 min | |||||||||||||
Co(II) | 30 min | |||||||||||||
As(V) | Iron oxide nanoparticles | 600 μg L−1 | 25 | 147 (μg g−1) | 120 min | 25 | 6–8 | B | L–F | — | — | Electrostatic attraction | XRD | 3 |
MO | PS–Fe3O4 MNPs | 100 | 0.3 | 96% | 60 min | — | 6 | — | — | 64.2 | 20–30 nm, spherical | Electrostatic attraction | FTIR, XRD, TEM, BET and Raman spectroscopy | 2 |
Pb(II) | MISFNPs | 25 | 0.5 | 46.30 ± 0.13 mg g−1 | 100 min | 60 | 4.0 | P-2 | L | 54.60 | 20–45 nm | Combination of electrostatic and ion exchange | PXRD, FT-IR, SEM-EDX, SEM, BET, AFM and XPS | 1 |
Cr(III) | 49.20 ± 0.18 mg g−1 |
Numerous researchers and research groups have reported adsorptive removal of toxic heavy metals such as Cr(III), Pb(II), As(V), Co(II), Cu(II), As(III), Cr(VI), Hg(II), Ni(II), Cd2+ using PMNPs (Table 2). The findings depicted that removal was due to the presence of specific functional groups in the shape of reducing and capping agents of plant metabolites that had charge opposite to metallic ions.
Mainly –OH-groups were actively participated in the removal of metallic ions via ion exchange and electrostatic attraction process.1,17,18,54,60 However, it was also fact that removal or reactivity of the various types of PMNPs fabricated from different plant species showed diverse adsorptive removal against same metallic ion due to the capability of specific functional group and the presence of different plant metabolites.
Despite this fact discussed above, maximum adsorptive capacity and removal for each heavy metal was achieved using Langmuir isotherm model (Table 2). For example in case of As(III), a maximum of 98% removal and 57.47 mg g−1 of adsorptive capacity was achieved within 60 min just using 0.10 g L−1 of adsorbent quantity and biomass/adsorbents were rapidly separated using magnet within 28 s.55 These studies evidenced that adsorption process was mainly dependent upon the charge of the functional groups and adsorbate. Toxic textile dyes and pigments have been also removed using PMNPs (Table 2).
Some researchers reported that PMNPs depicted superior performance in degrading and as well as in adsorptive removal of toxic dyes.2 Panneerselvam et al.64 compared PMNPs performance with Fe-EDTA and Fe-EDDS by taking pigments (bromothymol blue) as a representative toxic dye and reported better degradation rate of 0.144/min−1 using dosage of 0.33 mM with 2% H2O2 than Fe-EDTA and Fe-EDDS. The findings showed that PMNPs were better catalyst in producing free radical from H2O2 which eventually increased degradation performance.
Most of the researchers reported adsorptive removal of methylene blue (MB) and methyl orange (MO) using PMNPs (Table 2). PMNPs were utilized by mixing 5 mL of H2O2 for the adsorptive removal of MB and MO and results were compared with chemically fabricated NPs. The findings revealed that PMNPs were more effective and indicating Fenton-like catalysts performance than chemically synthesizing MNPs. It is also worth mentioning that the adsorptive removal was increased by decreasing pH of the system with respective to the addition H2O2 and decreased after pH 4. Furthermore, the dyes removal rates followed second and first order for MB and MO respectively.
In another study maize cobs powder were used for fabricating PMNPs and adsorptive removal of MB dye was reported by Tan et al.66,75 as illustrated in (Table 2). The findings depicted that mainly removal was due to electrostatic attraction of negative charge from PMNPs and cationic dyes and adsorbates/pollutants were presenting monolayer adsorption on the surface of adsorbent (Table 2). Recently, Buazar et al.14 and Prasad et al.2 also reported that toxic dyes were removed due to the electrostatic interactions between PMNPs and cationic dyes (Table 2). These findings, therefore, depicts PMNPs had negative charge active sites due to the presence functional groups from plant metabolites which were creating electrostatic interaction forces for efficient removal of cationic dyes.
PMNPs were also utilized for the removal of organic pollutants from domestic wastewater (Table 2). Adsorptive removal and capacity of different organic pollutants such as total phosphorous (TP), ammonia nitrogen (NH3–N), chemical oxygen demand (COD), phosphates (PO43−), nitrate and malachite green (MG) were investigated by different researchers.12,46,60,73,75 Ramasahayam et al.46 found that phosphorus (P) was mainly adsorbed due to the combination of adsorption and surface precipitation mechanism and multilayer adsorption with random distribution was occurred. In contrast, MG adsorptive removal was occurred due to chemical diffusion mechanism in the solution and degradation was by the breakage of benzene ring bonds.70,74 However, Wang et al.73 conducted a study for the adsorptive removal of nitrate from domestic wastewater and investigated that nitrate adsorptive removal was occurred due to chemisorption mechanism (Table 2). Some other researchers investigated removal of TP, ammonia nitrogen, COD and PO43− from domestic wastewater using PMNPs and reported maximum of 98.08% of TP,12 84.32% of NH3–N,12 99.63% of COD75 and 82% of PO43− removal.53 Moreover, to investigate the adaptability of PMNPs in large scale applications for environmental protection, some researchers used PMNPs in the removal of persistent or refractory organic pollutants, such as trichloroethylene (TCE) and Ibuprofen (Table 2). However removal performance was not so high. Hence, more research efforts are required to investigate PMNPs potential for these kinds of pollutants.
In summary, three types of removal mechanism were mainly reported depending upon chemical nature of pollutants and fabrication of PMNPs including, (i) chemisorptions mainly electrostatic attraction between cationic pollutants and opposite charge of MNPs due to presence of multifunctional groups from plant metabolites, (ii) ion exchange mainly due to –OH-groups, and (iii) chemical diffusion between the particles in the solution mainly due to the breakage of functional ring bonds.74 In addition, Table 2 depicts also other important aspects of adsorption process which are mainly required to address system performance, such as pollutants concentration, dosage, reaction temperature, pH and contact time. In most of the studies, maximum adsorptive removal was achieved at neutral pH or below under approximately at room temperature.55,60 However, according to economical point of view, ideally, a system should be capable to remove pollutants over a wide pH range. In many studies, effect of pH was investigated and reported that maximum removal was supported at low pH range (4–6) and in some cases at pH 7.54,73 It is also worth mentioning that pH could vary during treatment because of the organic nature of the reducing and capping agents. Normally, it is seen that extracts pH reduced during fabrication of PMNPs and this fact could also vary pH during treatment. Furthermore, neutral pH and room temperature is considered as an ideal according to economical point of view that can reduce chemical consumption for pH adjustment. However, if high pH is concern for specific pollutant, then PMNPs can be modified by manipulating fabrication protocol (e.g. by varying plant metabolites).
However, in case of PMNPs, the reported findings are different and surprising. In most of studies, it was observed that removal performance was sustained under complex system.8,15,19,46,67,73 Venkateswarlu et al.19 compared nickel removal under the presence of co-existing ions (Co2+, Na+, Ca2+, K+, and Mg2+) and reported more than 95% removal by 3MPA@Fe3O4 MNPs. The applied PMNPs showed high selectivity against nickel ions due to the strong bonding mercapto group with nickel ions rather than other ions according to Hard–Soft Acid–Base (HSAB) theory.
According to this Hard–Soft Acid–Base (HSAB) theory, interactions are normally predominated between soft acid and soft base in a complex system. Similarly, Venkateswarlu and Yoon8 investigated Cd(II) ions removal in the presence of Zn(II), Cu(II), Co(II), and Ni(II) ions and observed maximum removal of Cd(II) ions without any interference due to co-existing ions. According to HSAB theory, Cd(II) was a soft acid which will preferably interact with soft base than other ions. Mainly selectivity was due to the presence of mercapto and amine groups on the PMNPs and Cd(II) interaction towards mercapto was higher than other ions due to the softness of the base. In another study, Venkateswarlu and Yoon54 reported more than 96% of Hg(II) removal even in the presence of various competing ions (i.e. Pb(II), Zn(II), Ni(II), Co(II) and Cu(II)). The composite showed much higher removal efficiency for Hg(II) ions than other metal ions in the following order: Hg(II) ≫ Co(II) > Zn(II) > Cu(II) > Pb(II) > Ni(II). It was expected that the carbamodithioate (CS2−) functional group plays a crucial role in the Hg(II)-selectivity due to the softness of the base. Moreover, Gupta et al.67 also reported about 82% of Cd(II) removal in the presence co-existing ions (nickel and zinc ions) using real wastewater from electroplating industry. However, in case of As(III), Lunge et al.15 reported increasing interference by increasing anions concentration (NO3−, Cl−, PO4− and SO42−) and AS(III) removal was decreased by increasing anions concentration.
Moreover, selectivity performance of PMNPs also investigated using domestic wastewater by the numerous researchers and reported significant removal of organic pollutants such as P, N and COD.46,73 Overall, mostly studies supported that different types of PMNPs were effective for specific pollutants removal and the selectivity of the specific pollutant removal mainly dependent upon the following aspects. (a) Availability of the functional groups on the surface of fabricated PMNPs (because different functional groups of plant metabolites possess different selectivity against different pollutants), (b) pollutant type and strength (acidic or basic in nature), and (c) availability of the active sites on the surface of fabricated PMNPs (because sometime pores filled due to pollutants adsorption). However, selective removal can be improved by manipulating functional groups and modifying fabrication protocol to increase active sites for specific pollutant(s) which eventually would increase reusability of the PMNPs.
Pollutant(s) | Biogenic MNPs | Regeneration solution | Regeneration time | No. of adsorption desorption cycles | Desorption efficiency (%) in consecutive cycles | Removal efficiency (%)/adsorption capacity in consecutive cycles | Reference |
---|---|---|---|---|---|---|---|
Cd2+ | MNP–OPP (Fe3O4–OPP) | 0.1 M HNO3 | — | 5 | 98% | >90% | 67 |
P | Iron oxide | 0.5% NaOH | — | 4 | 68–87% | >90% | 46 |
As(III) | MION–tea | 0.001M NaOH | — | 5 | 65.0% | 49–99% | 15 |
0.1 M NaOH | 76.0% | ||||||
Pb(II) | DMSA@Fe3O4 MNRs | 0.01 M HCl | — | — | 78–91% | 75.1% | 17 |
As(III) | GnIP–chitosan composite | 0.1 M HCl | — | — | 92.16% | 87–85% | 52 |
0.1 M HNO3 | 77.83% | ||||||
Ni(II) | 3MPA@Fe3O4 MNPs | 0.01 M HCl (pH 2) | — | 5 | >75% | 34.8–37.9 mg g−1 | 19 |
Cd(II) | DEAMTPP@Fe3O4 MNPs | HCl pH ∼ 2 | — | 5 | 76.9–91.5% | >75% | 8 and 54 |
Hg(II) | 83.3–93.0% | >80% | |||||
As(III) | Fe3O4@2D–CF composite | HNO3, pH ∼ 2 | 28 s | 5 | 80.3–94.0% | >82% | 55 |
Cr(VI) | L. speciosa bark-MIO | 0.1 mol L−1 NaOH | — | 11 | 93.72% | — | 13 |
Pb(II), Co(II), and Cu(II) | Magnetized iron-oxide IO-LJFP | 0.025 mol L−1 EDTA and nitric acid | — | 98% | 90% | 60 | |
As(V) | Iron oxide nanoparticles | 0.01 M NaOH | — | 4 | >80% | >93% | 3 |
Pb(II) | MISFNPs | HNO3, pH 2.0 | — | 5 | >95% | 99–94% | 1 |
Cr(III) | 95–90% |
Numerous studies have shown regeneration and reusability of PMNPs using acidic medium (pH range 2–3) because in most of the cases adsorptive removal of metal ions were lower at lower pH.1,55,60
In few studies, basic medium of NaOH was also used for the regeneration as shown in Table 3. A slightly decrease in adsorption capacity (from 34.8 to 37.9 mg g−1) was noticed in case of nickel ion (Ni(II)) in consecutive five cycles, when PMNPs were regenerated using HCl solution at pH 2.19. Similarly, in case of others metallic ions a slight decrease in removal performance was noticed (Table 3). This decline in removal efficiency might be due to degradation of organic functional groups of plants metabolites during regeneration with acidic medium, loss of stability by the dissolution or leakage of iron that could change the morphology and magnetic behavior of PMNPs which eventually will create difficulty for separating adsorbent from the system,8,54,55,60 and decreasing of available active sites on the surface of adsorbent.52,67 It is recommended that more research efforts are needed to address these aspects and to make phytogenic based WWT systems more efficient. Hence, in addition, phytogenic stability study is urgently needed to make treatment technology for commercial application. Because once the stability disturb, destruction of organic functional groups and dissolution or leakage of iron will occur due to the weak bindings that will cause loss of magnetic properties of the adsorbent, thereby creating separation of adsorbent from solution. Therefore, more research efforts are needed to handle these challenges.
• The long term exposure of these fabricated by-product regarding human health and sustainability is need to be investigated. Thus more research efforts are required to authorize these fabricated by-products from desorbed pollutants.
• Although fabrication protocol of PMNPs is simple and environmental friendly but some challenging aspects (solution extracts volume, temperature, solvent type, pH, strength of precursor and functional groups from plant metabolites) should be optimized because these can change magnetic behavior and saturation magnetization value of the fabricated PMNPs.
• Moreover, pollutant removal and biomass separation may destroy PMNPs stability which eventually would increase treatment cost. Therefore, further research efforts are required to formulate PMNPs morphology and saturation magnetization value by optimizing fabrication procedure which eventually will improve pollutant removal performance and magnetic separability.
• Further researcher is needed to develop noble PMNPs with wide range of organic functional groups by manipulating plant metabolites and fabrication protocol, not only for selective removal but also for co-existing ions and multi type pollutants.
• To-date, there is no study available which can address cost-effectiveness fabrication of PMNPs compare to physical and chemical methods. Therefore cost analysis is also desired in term of expenses and production.
• Moreover, for biomedical applications, biocompatibility studies are also needed.
• Development of PMNPs is easy, safe and fast process than other biological routes particularly than microbes.
• Dynamic morphology, super paramagnetic nature, high saturation magnetization value makes PMNPs prominent for biomedical and environmental protection applications. However a controlled/optimized fabrication protocol is required to make PMNPs along-with desired morphology and organic functional groups that can employ for wide range of pollutants removal and metals recovery.
• PMNPs can easily be separated and reused because of their super paramagnetic behavior and high stability.
• Moreover, desorbed pollutants on PMNPs can be employed as resource recovery.
• Overall, green nanotechnology using plants is not only an environmental friendly option but also a promising technology for low economy countries that can also fulfill concept of zero effluent discharge after WWT using minimum cost and energy.
Footnote |
† Electronic supplementary information (ESI) available: Fig. S1 available. See DOI: 10.1039/c7ra04738j |
This journal is © The Royal Society of Chemistry 2017 |