| Literature DB >> 35260028 |
Rekha Pachaiappan1, Lorena Cornejo-Ponce1, Rathika Rajendran2, Kovendhan Manavalan3, Vincent Femilaa Rajan4, Fathi Awad5.
Abstract
Good quality of water determines the healthy life of living beings on this earth. The cleanliness of water was interrupted by the pollutants emerging out of several human activities. Industrialization, urbanization, heavy population, and improper disposal of wastes are found to be the major reasons for the contamination of water. Globally, the inclusion of volatile organic compounds (VOCs) and heavy metals released by manufacturing industries, pharmaceuticals, and petrochemical processes have created environmental issues. The toxic nature of these pollutants has led researchers, scientists, and industries to exhibit concern toward the complete eradication of them. In this scenario, the development of wastewater treatment methodologies at low cost and in an eco-friendly way had gained importance at the international level. Recently, bio-based technologies were considered for environmental remedies. Biofiltration-based works have shown a significant result for the removal of volatile organic compounds and heavy metals in the treatment of wastewater. This was done with several biological sources such as bacteria, fungi, algae, plants, yeasts, etc. The biofiltration technique is cost-effective, simple, biocompatible, sustainable, and eco-friendly compared to conventional techniques. This review article provides deep insight into biofiltration technologies engaged in the removal of volatile organic compounds and heavy metals in the wastewater treatment process.Entities:
Keywords: Biological method; biodegradation; biofilters; heavy metals; pollutants; volatile organic compounds; wastewater treatment
Mesh:
Substances:
Year: 2022 PMID: 35260028 PMCID: PMC9161908 DOI: 10.1080/21655979.2022.2050538
Source DB: PubMed Journal: Bioengineered ISSN: 2165-5979 Impact factor: 6.832
Figure 1.Schematic illustration representing water resource contamination by various pollutants from urban- and rural-based anthropogenic activities.
Removal of volatile organic compounds with conventional methods
| Nonbiological VOC removal method | Working mechanism | Pollutant | Catalyst | Inlet of VOC | Retention time | Removal efficiency of VOC | Advantages | Disadvantages | Reference |
|---|---|---|---|---|---|---|---|---|---|
| Absorption (wet scrubbing) | Scrubber absorbs the VOCs. This is applicable for water-soluble VOCs | Butanol | - | 5 ppmv | 20 ms (residence time) | 90% | Regeneration of scrubbing liquid through an advanced oxidation process. | Pressure drop in packing structure. | [ |
| Incineration (Metal catalyst) | Laboratory scale tubular reactor used in the decomposition of pollutants in the presence of metal catalysts | 1,2-Dichloroethane | Pt; Fe2O3 | [C2H4Cl2]0 is the inletconcentration (mol/ L) | 1.0 s | 66–99.8%; 53–99% at 550°C | Control over retention time with operating temperature. | Disposal of waste is the problem. High energy consumption. | [ |
| Ozonation | COF mineralization through hydroxyl radicals from the catalyst | Cooking oil fumes (COF) | Fe(OH)3 | THC concentration of 211 ppm | 0.05 s | 95% | The oxidizing capability of ozone. | Extensive evaluation of catalyst performance for different VOCs. | [ |
| Adsorption and ozonation | Adsorption of VOCs followed by oxidation | Methyl ethyl ketone | Alumina silicate | 1.35 g m3 | - | 93% | Strong thermal and chemical stability. | Adsorbed byproducts decrease the adsorption capacity. | [ |
| Adsorption andcondensation | Open-circuit and closed-loop flow in regeneration mode | VOCs | - | 4099 ppmv | - | 98.50% | Ozone and secondary organic aerosol production after VOCs reduction. | Checking theapplicability for urban areas. | [ |
| Oxidization and volatilization | Anodic electrochemical oxidation of pollutants | Chloroform, benzene, trichloroethylene,and toluene | Pt/Ti, IrO2/TiIrO2/Ti, IrO2/TiIrO2/Ti, and IrO2− Ru−Pd/TiIrO2− Ru−Pd/Ti anodes are employed | 150 mg/L | - | 98% | Electrochemical properties of the anode in the removal of VOCs. | Selection of suitable anodes forparticular VOC. | [ |
| Membrane separation | The capture of VOCs by a dense porous fibrous membrane | Aniline, benzene, and toluene | Poly(1-trimethylsilyl-1-propyne) | 2 mL of VOC solvent | - | 871 mg/g anilineadsorbed | Higher adsorption capacity. | Membranes are expensive. | [ |
Removal of heavy metals with conventional methods
| Conventional method | Adsorbent | Heavy metal | Observation | Efficiency | Advantages | Disadvantages | Reference |
|---|---|---|---|---|---|---|---|
| Adsorption | Graphene oxide-based microbots | Lead(II) | Cleaned water from 1000 ppb down to below 50 ppb in 60 min | 95% | A wide range of heavy metals are removed. More removal efficiency. High specific surface area. | Expensive. Sludge production. Regeneration is not possible. Adsorbent decides the metal removal efficiency. | [ |
| Oxidized activated carbon | Copper(II) | Adsorption capacity increased with a pH range of 3.0–6.0 | 91.30% | [ | |||
| SiO2-Carbon nanotube | Mercury(II) | Endothermic process, mercury removal increased with increase in temperature | 98% | [ | |||
| Polypyrrole-based activated carbon | Lead(II) | Highest adsorption at pH 5.5, followed chemisorption pathway. | 81.80% | [ | |||
| Geopolymer from dolochar ash | Cobalt(II), nickel(II), cadmium(II), and lead(II) | The process was spontaneous and endothermic. Maximum removal at pH, temperature, and initial metal ion concentration were 7.8, 343 K, and 10 ppm. | 98–99% | [ | |||
| Air stripping | Nickel ammoniacomplexion | Optimal parameters pH 11, the temperature of 60°C, and an airflow rate of 0.12 m3/h | Nickel and ammonia were less than 0.2 mg/L and 2 mg/L | Low cost. Reliable technique. | Not suitable for a wide range of pollutants. Bulk pollutants could not be removed. | [ | |
| Mercury | Air stripping with chemical reduction treats a large volume of water. | 94% Decrease in mercury level during the injection. | [ | ||||
| Coagulation | Ferric chloride and alum | Arsenic | Not effectively remove As from the municipal wastewater to <2.00 μg/L | Reduced total recoverable arsenic from 2.84 and 8.61 μg/L | Dewatering, microbial inactivation, and sludge settling properties. | More sludge is produced. Requirement of chemicals. | [ |
| Humic-like component of terrestrial origin | Copper(II) | Enhanced removal efficiency by intermolecular bridging between the pollutant and humic component of molecular range 100 kDa0.45 μm. | [ | ||||
| Iron electrode | Chromium(IV) | Sinusoidal alternating current reduces energy consumption and enhances removal efficiency. | 99.73% and the residual Cr(VI) in the effluent was <0.1 mgdm−3 | [ | |||
| Chemical precipitation | Cu-EDTAdecomplexation | Copper | Cu ions were precipitated as Cu2(OH)2CO3, CuCO3, Cu(OH)2, and CuO. | 68.30% | Low investment. Facile process. | More sludge is produced containing metals. High sludge and maintenance cost. | [ |
| Magnesium hydroxy carbonate | Oxovanadium(IV), chromium(III), and iron(III) | Removal efficiencies of heavy metals were increased with the dose of magnesium hydroxy carbonate (.30 g for 50 mL) | 99.90% | [ | |||
| Electrochemical | Graphene oxide electrode | Copper, cadmium, and lead | The high density of surface functional groups to assist the electrodeposition by the graphene oxide electrode | >99.9% | Pure metals can be recovered. No chemicals requirement. Rapid technique. | High capital and running costs. Generation of by-products. | [ |
| Zinc (Zn), nickel (Ni), and copper (Cu) | Electrochemical better than nanofiltration | 99.81%, 99.99%, and 99.98% | [ | ||||
| Ion exchange | Li1.9MoS2 | Mercury(II), lead(II), cadmium(II), and zinc(II) | Lithium-intercalated layered metal chalcogenides experience exfoliation when treated with water | 580 mg of mercury/g | A wide range of heavy metals are removed. Appreciable regeneration and pH tolerance. | High capital and running costs. Only selective metals are removed. | [ |
| Carboxylic weak acids | Copper(II), iron(II), lead(II), and zinc(II) | The complexing nature of carboxylic weak acids stabilize metal ions in solutions generating broader functional pH regions for metal extraction. | Extraction >85%-99% | [ | |||
| Membrane | Ceramic supported graphene oxide (GO)/Attapulgite (ATP) | Copper(II), nickel(II), lead(II), and cadmium(II) | The use of aluminum oxide substrate increased stability and extended usage of membrane | Rejection efficiency 99–100% | High efficiency toward metal selected. Less chemical consumption. Simple design that occupies less space. | Expensive. Fouling of membrane. Flow rates are less. Sludge production. | [ |
| Layered cellulose-based nanocomposite membrane | Silver, copper(II), iron(II), and iron(III) | The high affinity of the membrane toward metal ions. | 86–100% | [ |
Figure 2.Biofilter typical setup and working mechanism in the degradation of organic and inorganic pollutants present in air and wastewater.
Various biological-based processes employed in the removal of volatile organic compounds
| VOCs | Methods | Sources | Elimination Capacity | References |
|---|---|---|---|---|
| BTEX | Biofiltration | 110 gC m3 h1 | [ | |
| Toluene/styrene | Fixed-film bioscrubber | 203 g·m−3·h−1 | [ | |
| BTEX | Biodegradation | 71.3% of ethylbenzene, 61.1% of | [ | |
| 2-Ethyl-1-hexanol | Biotrickling filtration | Fungi and Bacillus Subtilis | 95–98% | [ |
| Biotrickling fil tration | 12.68 g m−3 h−1
| [ | ||
| Biofiltration | Fungal biomass | 3000 CFU/ml (optimum biomass) | [ | |
| Benzene | Biofiltration | 151.67 g m−3 h−1 | [ | |
| Cyclo hexane and methyl acetate | Biotrickling filtration | 100% | [ | |
| Hydrogen sulfide (H2S), methanethiol, dimethyl sulfide, and dimethyl disulfide | Biotrickling filtration | 90.1%, 88.4%, 85.8%, and 61.8% | [ | |
| 2,5-Dimethylpyrazine | Biofiltration | 8.5 g m−3 h−1 | [ | |
| Toluene | Biofiltration | 258 g m−3 h−1 | [ | |
| Phenol | Biofilter | Anaerobic microorganisms | >85% | [ |
| Phenol | Biodegradation | ~100% | [ | |
| Phenol | Biofilter | Microorganisms from municipal waste | ~100% | [ |
| Phenol | Biofilters | Chloroflexi and Planctomycetes | 100 mg/L (effluent) | [ |
| Toluene | Biotrickling filter | Cladophialophora | 264.4 g m−3·h−1 | [ |
| 2-Butoxyethanol | Biotrickling filter | 72.8% | [ | |
| Biotrickling filter | Toluene and 4-methyl-2-pentanone | 10 g m−3 h−1 | [ | |
| Benzene, toluene, xylene, and styrene | Biotrickling filter | 90% | [ | |
| Toluene | Biotrickling filter | Pseudomonadaceae and Comamonadaceae | 99.2% | [ |
| Toluene | Biotrickling filter | Cell biochar beads seeded with | 1134 g toluene/m3. day | [ |
| Toluene | Biotrickling filter | Fungi | 176.8 g m−3 h−1 | [ |
| Toluene | Biotrickling filter | 98.1 g m−3 h−1 | [ | |
| BTEX | Biofilter | Microbial growth enhanced by polyurethane | 61% | [ |
| Ethylbenzene | Biofilter | Bacterias | - | [ |
| Sulfur dioxide and | Biofilter | 96.09% | [ |
Figure 3.Typical schematic diagram representing (a) biotrickling filter, (b) biofilter, (c) bioscrubber working principle [15].
Figure 4.Schematic diagram representing hybrid rotating drum biofilter [126].
Figure 8.Schematic picture of aerated fixed film biofilter reactor in the treatment of hospital wastewater [162].
Figure 7.The schematic representation of biofiltration system for the removal of low concentration nitrogen dioxide emitted from wastewater treatment plants [163].
Figure 9.Schematic illustration representing spray tower combined biofilter in the removal of volatile organic compounds (VOCs) present in textile dye wastewater treatment plant, which reduces the risk of respiration diseases [164].
Key processes adopted in the treatment of polluted stormwater [184]
| Pollutant in stormwater | Key processes |
|---|---|
| Sediment | Physical filtration is done by filter media Settlement during ponding |
| Nitrogen | Nitrification and denitrification Decomposition Adsorption Biotic assimilation by plants and microbes Physical filtration of sediment-bound fraction |
| Phosphorous | Decomposition Adsorption Biotic assimilation by plants and microbes Physical filtration of sediment-bound fraction |
| Heavy metals | Oxidation and reduction reactions Biotic assimilation by plants and microbes Physical filtration of sediment-bound fraction |
| Pathogens | Adsorption and desorption Physical filtration by filter media Natural or predation die-off |
| Organic micropollutants | Adsorption Biodegradation |
Various biological-based processes employed in the removal of heavy metals in the treatment of water
| Heavy metals | Methods | Sources | Governed mechanism | References |
|---|---|---|---|---|
| Ni, Cd, Pb, Cr, Hg, and Co | Bioaccumulation | Phytoaccumulation | [ | |
| Fe, Pb, and Zn | Bioaccumulation | Phytoaccumulation | [ | |
| Pb(II), Cd(II), and Cr(VI) | Bioadsorption | Methane-oxidizing epipelon | Biofilm | [ |
| Cr | Bioadsorption | Bioremediations | [ | |
| As | Bioadsorption | Biochar from rice straw | Electrostatic attraction, ion-exchange, and π–π/n-π interactions | [ |
| Cd and Pb | Bioadsorption | Biochar from peanut shell | Freundlich isotherm model | [ |
| Cu, Cd, Cr, Ni, Fe, Pb, and Zn | Bioadsorption | Retention | [ | |
| Cd, Pb, Ni, Zn, Cu, and As | Bioadsorption | Biochar from tree, weed, and crop | Adsorption | [ |
| Cu(II) and Cd(II) | Bioadsorption | Micro-algae/bacterial biomass | Langmuir model | [ |
| Cu(II), Cd(II), and Pb(II) | Biosorption | Biochar from vegetable biomass | Electrostatic attraction | [ |
| Cu, Pb, and Zn | Biosorption | Beetroot fibers | Retention | [ |
| Pb(II), Cd(II), Cu(II), and Ni(II), | Biosorption | Coco-peat biomass | Langmuir and Freundlich isotherm | [ |
| Cd(II) | Biosorption | Biofilms from biotrickling filters | Langmuir isotherm model | [ |
| Pb(II) | Biosorption | Cottonwood | Precipitation, electrostatic outer- and inner-sphere complexation | [ |
| Pb(II) | Biosorption | Olive pips | Biosorption | [ |
| Cu and Zn | Biosorption | Autoclave | [ | |
| Cu and Pb | Biosorption | Chara algae | Best pH | [ |
| Cd, Pb, and Ni | Biosorption | Filtration | [ | |
| Cd (II) and Ni (II) | Biosorption | Langmuir isotherms | [ | |
| Cd(II) and Pb(II) | Biosorption | Immobilization | [ | |
| Ni(II) | Biosorption | Batch method | [ | |
| As(III) | Biofilm | Biochar and Periphytic biofilm | Pseudo-second-kinetic model | [ |
| Cd | Biofiltration | Bioaccumulation | [ | |
| Fe, Mn, and NH3-N | Biofiltration | Oxidizing bacteria | Chemical oxygen oxidation; water redox environment | [ |
| Cr(VI) | Biofiltration | Michaelis–Menten kinetic model; Ottengraf-Van den Oever model | [ | |
| Pb and Cd | Biofiltration | Rhizofiltration | [ | |
| Fe(II), Mn(II), and As(III) | Biofiltration | Denaturing gradient gel electrophoresis (DGGE) | [ | |
| As(III) | Biofiltration | Burkholderiaceae, Comamonadaceae, Rhodobacteraceae, and Xanthomonadaceae | Autotrophy; Heterotrophic oxidation | [ |
| Pb and Cd | Biofiltration | Polylactic acid – fish scale extracted hydroxyapatite (HAp) | Ion exchange, dissolution, and precipitation on HAp | [ |
| Zn and Pb | Biofiltration | Stormwater | Bioretention | [ |
| Pb(II) | Biofiltration | Biofilm-forming bacterium | [ | |
| Cd, Cr, Co, Ni, and Pb | Biofiltration | Bioaccumulation | [ | |
| Cr, Co, Fe, Mn, Pb, and Zn | Biofiltration | Bioaccumulation | [ | |
| Pb, Cd, Zn, Cu, As, and Cr | Biofiltration | Phytofiltration | [ | |
| Ni(II) and Co(II) | Biofiltration | Biofilm formation | [ | |
| Ni, Cd, Cr, Fe, Pb, and Cu | Biofiltration | Bioremoval | [ | |
| Pb | Biofiltration | Leuconostoc mesentroides and Lactobacillus case | Biofilm | [ |
| Cr(VI) | Biofiltration | Cellulose; | Langmuir isotherms | [ |
| As and Hg | Biofiltration | Activated coconut shell | Biosorption | [ |
| As | Bio-oxidation/adsorptive filtration method | Acidothiobacillus ferrooxidans | Filtration and adsorption | [ |
| As(II), | Biopolymer ion exchange | Organic polymer pectin hybrid | Ion exchange | [ |
| Zn (II), Pb (II), Cr (III) and Cr (VI) | Biopolymer filtration | Starch | Ultrafiltration | [ |
| Cr(VI) | Biopolymer-sorption | Biocomposite beads (alginate) | Sorption process | [ |
| Cr(III), Pb(II), and As(V) | Biopolymer-sorption | Carboxymethyl cellulose and alginate-based hybrid | Sorption process | [ |
| Pb, Cd, Cu, and Zn | Bioremediation | Microbial detoxification | [ | |
| Cd, Pb, and Ni | Bioremediation | Phytoremediation | [ | |
| Fe, Cu, Pb, Cd, and Zn | Bioremediation | Phytoremediation | [ | |
| Tl, Cd, Zn, and Pb | Bioremediation | Phytoremediation | [ | |
| As, Cd, and Hg | Bioremediation | Phytoremediation | [ |
Figure 10.Typical stormwater biofilter working model [184].
Figure 11.Diagram representing the 3D-printed monolithic biofilters based on a polylactic acid (PLA) – hydroxyapatite (HAp) biocomposite for heavy metal removal from an aqueous medium. (a) Reference PLA filter with a uniform porosity. (b) Corresponding PLA/Hap filter. (c) Reference PLA filter with gradient porosity. (d) PLA/Hap filter [188].
Figure 12.Schematic illustration of amyloid fibrils coupled with activated carbon membrane as an adsorber of heavy metal ions. (a) Structure of the β-lactoglobulin protein with the strongest heavy metal-binding motif highlighted, 121-cys, with a lead ion attached. (b) Amyloid-forming 121-cys-containing fragment (LACQCL) from β-lactoglobulin with docked Pb metal ions. (c) Schematic representation of heavy metal ion purification by amyloid–carbon adsorbers, and photographs of Na2PdCl4 solution changing color from yellow to colorless after filtration due to the adsorption of palladium heavy metal ion pollutants onto the composite membrane. (d) SEM image showing the surface of the composite membrane, with the visual aspect of the membrane shown in the inset. (e) Higher-magnification SEM image of the membrane, demonstrating the assembly of the amyloid fibrils onto the activated carbon surface [259].