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Article

Biogeochemical Permeable Barrier Based on Zeolite and Expanded Clay for Immobilization of Metals in Groundwater

1
A.N. Frumkin Institute of Physical Chemistry and Electrochemistry, Russian Academy of Sciences, 31-4, Leninsky Prospect, 199071 Moscow, Russia
2
Joint Institute for Nuclear Research, 6 Joliot-Curie Str., 141980 Dubna, Russia
3
Horia Hulubei National Institute for R&D in Physics and Nuclear Engineering, 30 Reactorului Str. MG-6, 077125 Magurele, Romania
4
The Institute of Chemistry, 3 Academiei Str., 2028 Chisinau, Moldova
5
The Nuclear Safety Institute of the Russian Academy of Sciences 52, Bolshaya Tulskaya Street, 115191 Moscow, Russia
*
Author to whom correspondence should be addressed.
Hydrology 2023, 10(1), 4; https://doi.org/10.3390/hydrology10010004
Submission received: 7 December 2022 / Revised: 15 December 2022 / Accepted: 17 December 2022 / Published: 24 December 2022
(This article belongs to the Special Issue Novel Approaches in Contaminant Hydrology and Groundwater Remediation)

Abstract

:
Groundwater samples contaminated with potentially toxic elements (PTE), including metals and nitrate ions, were collected at a depth of 8–10 m from the Siberian Chemical Plant multicomponent waste storage. The possibility of developing a permeable biogeochemical barrier with zeolite and lightweight expanded clay aggregate (LECA) was investigated. The mass fraction and properties of several metals (Mn, Fe, Co, Ni, Cu, Zn, Cd, Hg and Pb) were determined to investigate their fixation on the chosen materials at the given experimental conditions. It was established that metals in sulfide or phosphate forms can be effectively immobilized via biomineralization on LECA, whereas metals from the non-chalcogen group are primarily retained in the form of phosphates. The formation of biogenic deposits of iron sulfide, which serve as a sorption–precipitation phase during the immobilization of the majority of metals, is an important aspect of the LECA loading process. The use of LECA and zeolite in the form of a two-component barrier is feasible based on the data obtained. It is assumed that metal immobilization processes occur due to sorption mechanisms in the zone of zeolite loading. Microbial nitrate removal and the formation of iron sulfide phases under reducing conditions, which form a geochemical barrier for metals, are expected in the LECA zone.

1. Introduction

Electroplating enterprises, solid waste landfills, as well as mining activities, ore processing, chemical and metalworking industries contribute to the contamination of both underground and surface waters with potentially toxic elements (PTE: heavy metals and acid anions). The most pronounced detrimental effect on the environment can be caused by industrial effluents stored in the form of dumps or sludge, and in surface storage pools [1,2,3]. Notwithstanding the fact that many techniques for remediation of contaminated soils and surface water bodies have been created and are continuously improved, the treatment of contaminated groundwater continues to be an expensive and difficult task.
Various impermeable (e.g., cut-off walls in the ground) or permeable engineering barriers have traditionally been used to prevent pollutant migration in groundwater [4]. Permeable barriers are considered to be a better long-term solution, as they do not disrupt groundwater movement and do not induce blockages in the geologic horizon [5,6,7]. A variety of natural materials, including zeolites [8,9,10], limestone [6,11], apatite [12], artificially created materials such as cement-based filter media (CBFM) [13], waste products (e.g., fly ash [14]), as well as numerous organic materials and their compositions with minerals [15], can be used to create these barriers. The formation of in situ geochemical barriers using reducing agents, such as zero-valent iron [16,17] and other additives, is another method of treating groundwater. Their injection into the groundwater formation creates local zones for metal immobilization.
One of the promising remediation strategies for combating multicomponent contamination is the application of in situ biogeochemical barriers based on sorbents and highly porous material, as well as microorganism growth stimulation by organic compounds. Numerous studies have employed this strategy [18,19]. The development of microbial biofilms that protect microorganisms from the toxic effects of the contaminated environment and allow the microbial community to effectively cope with it is critical for the successful operation of such barriers [20]. Shortcomings of this approach include the necessity of extra nutrition for the microorganisms as well as biofouling of highly effective sorptive materials causing deterioration of their properties. Biofilms, on the other hand, can improve material sorption capacity since their polysaccharide matrix contains a significant number of functional groups, which can participate in metal sorption [21,22,23,24]. Furthermore, microbial processes can result in the formation of secondary mineral phases, such as sulfide or ferruginous phases, which additionally contribute to metal immobilization [25,26,27].
Previously, we have studied the possibility of using zeolite, apatite, expanded clay, vermiculite, and other materials along with organic stimulation as a groundwater permeable barrier near a storage facility for the immobilization of radionuclides, such as cesium, strontium, uranium, and technetium, from radioactive waste [28]. The effects of natural groundwater microflora on the sorption properties of materials were studied. It was demonstrated that microbiological effects did not significantly alter the sorption properties of the examined materials under the operating conditions of the barrier. In another study, the possibility of using vermiculite, lightweight expanded clay aggregate (LECA), perlite, zeolite, and shungite as filtration barrier in the aquifer near a solid domestic waste landfill for Cd and Cr (VI) immobilization was investigated. Based on the results obtained by authors of the present study and other researchers [4], the most optimal approach in case of purification of groundwater with multi-component contamination is development of permeable barriers consisting of several materials that create different conditions for the immobilization of various contaminants.
The aim of the present study was to assess the possibility of using zeolite and LECA as a permeable biogeochemical engineering barrier in groundwater with high nitrate and sulfate contamination for metal ion immobilization, taking as an example, groundwater collected near the multicomponent waste storage of the Siberian Chemical Plant (Tomsk region, Russia).
A field test to create a groundwater biogeochemical barrier was conducted there previously [29]. In less than one month, as a result of a single injection of organic matter, the studied area was cleared of nitrate ions, but the effect was transient; in one year, concentrations of contaminants comparable to the initial ones were observed in the stonecrop zone. In this case, enhancing the stable development of microorganisms in biofilms in contaminated groundwater could be a critical solution for in situ nitrate, radionuclide, and various metal removals.

2. Materials and Methods

In the present study, a groundwater sample was collected from a depth of 8–10 m in the area of the basin of the Siberian Chemical Plant storage of polycomponent wastes. Water samples were taken after pumping one and a half well volumes in sterile, 2 L plastic bottles, hermetically sealed and stored at a temperature of +4 °C in a refrigerator. The sample chemical composition and microbiological properties can be found in [29]. It contained high concentrations of major components, nitrate ions and calcium, as well as PTE—Mn, Fe, Ni, Cu, Sr, and Zn (Table 1).

2.1. Carriers

Natural zeolite (Clinoptilolite type) from the Chola deposit (Transbaikalia, Russia) was purchased from the “Zeolite-Trade” company (http://www.zeolite.spb.ru/ accessed on 17 January 2021). The zeolite “Trade” consists of isometric aggregates of 3–5 mm and microaggregates of micron size with thin isometric pores and elongate channels. This structure ensures simultaneous high filtration and sorption properties. The density of the “Trade” zeolite is 2.2–2.6 g/cm3, the specific surface area is 10.1 m2/g, and the bulk weight is 1.02–1.2 g/cm. Natural zeolite was ground up and sieved, and the fraction with a size 300–100 µm was used for further experiments.
Lightweight expanded clay aggregate (LECA) produced by the PJSC “Keramzit” (Serpuhov, Russia, https://zao-keramzit.com) (accessed on 26 January 2021). Is a mixture of clay minerals (smectite, beydelite) heated at 1200 °C. It is composed of highly porous aggregates up to 5 mm in size and pores ranging from several nanometers to 0.5 mm. Despite its high porosity and specific surface, the LECA has a low chemical activity due to the highest and most stable oxidation state of its components during burning, when water and organic matter are completely removed.

2.2. Experimental Design

2.2.1. Sorption before and after Biofouling

In the first stage, the experiments were performed on materials with biofilm formed by the groundwater microbial community. The biofouling was performed in aerobic conditions for 14 days in Adkins media inoculated with 10% of groundwater sample. The medium contained NH4Cl—1.0; KH2PO4—0.75; K2HPO4—1.5; NaNO3—1.0; NaCl—0.8; Na2SO4—0.1; MgSO4·7H2O—0.1; KCl—0.1, yeast extract—0.5; glucose—1.0; CH3COONa—1.0, pH = 7. Glucose and sodium acetate Sigma Aldrich (Darmstadt, Germany) (https://www.sigmaaldrich.com/ accessed on 1 March 2021.) in concentrations of 1 g/L were used as carbon sources and electron donors. Filtration and freeze drying were used to separate the biofilm-containing materials from the cultivation medium.
Sorption experiments were conducted in 100 mL flasks for 24 h at vigorous agitation with the same groundwater. The solution volume was 50 mL, and the sorbent dosage was 0.5 g. Metals were added from nitrate solutions (Sigma Aldrich (Darmstadt, Germany)) at a concentration of 10 mg /L (per metal). All experiments were conducted in triplicate, and the average values were used for further calculations.
The metal uptake q (mg/g sorbent) was calculated using the following equation:
q = V C i C f m
and sorption removal efficiency, R (%), from the equation:
R = C i C f C i 100
where q is the amount of metal ions adsorbed on the sorbent in mg/g; V is the volume of solution in ml; Ci is the initial concentration of a metal in mg/L, Cf is the final metal concentration in the solution in mg/L, and m is the mass of sorbent in g.
Desorption was carried out with low mineralized model water (NaHCO3—25.2, MgSO7H2O—36.6, CaCl6H2O—223.9, MgCO3—3.2, NaNO3—1000, pH 7.1) In vials, the material was stirred at 120 rpm for 2 h at room temperature. All chemicals were high purity grade from Sigma Aldrich (Darmstadt, Germany).

2.2.2. Metal Immobilization during Microbial Growth

In the second stage, an experiment on accumulation and biomineralization of mineral carriers with simultaneous growth of microorganisms from the solution of underground water was carried out. Sodium acetate and glucose high purity grade (Sigma Aldrich, Darmstadt, Germany) at a concentration of 1 g/L were used as a carbon source and electron donors. The experiment was carried out in hermetically sealed vials for one month to achieve anaerobic mineralization of iron and sulfur. Metals at the same concentrations as in the sorption experiment were added to the medium in the beginning of the experiment.
The medium in the first stage of the experiment contained phosphates from groundwater samples; in the second variant, phosphates at a concentration of 500 mg/L in the form of potassium phosphate high purity grade (Sigma Aldrich, Darmstadt, Germany) were added. Desorption was carried out according to the procedure described for sorption experiment.

2.3. Methods

The chemical composition of the water samples was analyzed immediately after sample collection and filtration through a 0.45 µm glass filter by inductively coupled plasma–mass spectrometry (ICP-MS) on mass spectrometer Xseries II ICP-MS (Thermo Fisher Scientific, Waltham, MA, USA) and ICP-OES on ICP-OES CID Spectrometer); iCAP 6500 (Thermo Fisher Scientific, Waltham, MA, USA, https://www.fishersci.com/shop/products/icap-6500duoview-icp-oes-spect/NC1982295 accessed on 19 January 2022).
The determination of Eh and pH values was carried out using an ANION-4100 pH meter/ionomer (Russia) with an electrode combination. Anion and cation concentrations were measured by a CGE capillary electrophoresis system (Capel-105M, LUMEX Instruments, Saint Peterburg, Russia, https://www.lumexinstruments.com/catalog/capillary-electrophoresis/capel-105m.php accessed on 10 January 2020).
Copper, Cd, and Pb concentrations in the solutions were determined by AAS (Thermo Scientific iCE 3400 series, Waltham, MA, USA, https://www.thermofisher.com/order/catalog/product/942350023411) (accessed on 6 December 2022) with electrothermal atomization. Calibration solutions were prepared from a 1 g/L stock solution (AAS standard solution; Merck, Darmstadt, Germany).
The mass fraction of other elements was determined using neutron activation analysis at the pulsed fast reactor IBR-2 (Frank Laboratory of Neutron Physics, Joint Institute for Nuclear Research, Dubna, Russia). The concentration of Mn was determined by irradiation for 3 min at a thermal neutron flux of 1.2 × 1012 n cm–2 s–1, and measurement time was 15 min. To determine the mass fraction of elements with long-lived isotopes: Cr, Co, Zn, Sr, Ba, and Hg samples were irradiated for 4 days at a neutron flux of 1.1 × 1011 cm−2 s−1. Gamma spectra of induced activity were obtained after 4 and 20 days using three Canberra HPGe detectors with an efficiency of 40–55% and resolution of 1.8–2.0 keV at 1332 keV 60Co total-absorption peak. The analysis of the spectra was performed using the Genie2000 software by Canberra (https://www.mirion.com/products/genie-2000-basic-spectroscopy-software) (accessed on 6 December 2022), with peak fitting verification in interactive mode. The calculation of the concentrations was carried out using the software “Concentration” developed in FLNP [30].
Biofilm development was detected using confocal scanning microscopy. The samples were washed with distillate water to remove planktonic cells prior to storing in a 96% alcohol solution for biofilm fixation. ConA (lectin conjugated with the fluorescent dye Alexa Fluor 488 (C11252, ThermoFisher) in phosphate buffer at a dilution of 1:500) and SYBR Green II (S7564, ThermoFisher), which binds to nucleic acids (primarily RNA), were used to stain the samples. ConA binds to bacterial wall monosaccharides and EPS, SYBR Green II to nucleic acid. Staining was performed in the dark for 30 min on a shaker at room temperature. The samples were analyzed using a Zeiss LSM880 confocal microscope (Zeiss, Germany). The images were acquired with x20 and x40 objectives and argon lasers with wavelengths of 488 nm for detecting ConA fluorescence and 543 nm for detecting SYBR Green II. The Nomarski contrast method was applied to detect uncolored particles (LECA and zeolite). The obtained images were analyzed using the ImageJ software package with the plugin BioFormats 5.8.2 (https://docs.openmicroscopy.org/bio-formats/5.8.2/about/index.html) (accessed on 6 December 2022) and BioFilmAnalyzer v.1.0 [31].
Organic carbon was determined using a total organic carbon analyzer: Shimadzu TOC-V CSN (Kyoto, Japan).
Respiration activity was determined using the MTT test under oxic and anoxic conditions [32]. Before spectrophotometry of the oxidized formazan complex, the samples were centrifuged at 7000 g to remove the clay suspension.
Materials surface analysis before and after sorption was performed using a S3400N scanning electron microscope (Hitachi, Santa Clara, CA, USA). Analysis samples were removed from the liquid medium by filtration and dried at room temperature in a nitrogen glove box to a constant weight. For SEM analysis, the samples were placed on an aluminum holder using electrically conductive tape, and vacuum carbon deposition (Q150T E Plus) was carried out (vacuum 4–3, current 50 A). The samples were analyzed in two modes, SE and BSE, at a voltage of 20 kV.
Fourier-transform infrared (FT-IR) spectroscopy was used to confirm the presence of the functional groups in the microbial samples. Infrared spectra were recorded in the 4000–550 cm–1 region using a Thermo Nicolet Nexus 4700 FT-IR Spectrometer (Thermo Fisher Scientific, Waltham, MA, USA).
The speciation of metals in solution was assessed by thermodynamic modeling in the PhreeqC 2.1 software with the llnl.dat thermodynamic database [33]. The saturation indices (SI) were determined as follows:
S I   =   l o g I A P     l o g K s
where IAP is the product of activities of the relevant ions, and K s is the equilibrium constant. At SI > 0, formation of the studied phase is predicted.

3. Results

3.1. Zeolite and LECA Biofilm Characterization

The microbial biofilm formation and the accumulation of organic carbon on the materials occurred after a single stimulation with glucose. Organic carbon is predominantly present as the biofilm exopolysaccharide matrix. The maximum carbon accumulation on zeolite was observed on days 20–30, and on LECA on days 15–20 (Table 2). LECA had a higher total carbon mass fraction, reaching 12.9 mg/g. A gradual biofilm degradation on both materials was observed after 40 days. After 60 days, the carbon mass fraction on zeolite decreased to the initial values of biofilm development; for LECA, the decrease was 15% from the maximum.
The morphology of the samples was visualized using confocal laser scanning microscopy (Figure 1). It was discovered that the LECA coverage by biofilm was more even than biofouling on zeolite. On the 20th day, the total area of polysaccharides on LECA was 75 ± 3.8%, taking into account that the total area of fouling was 89 ± 4.3%. The area covered by polysaccharides on zeolite was 54 ± 2.6%, the total fouling area being 59 ± 2.9%.
The area covered by cells (according to nucleic acid staining) on LECA was on average two times greater than that on zeolite (Table 3, which also contains data on the formation of biofilms in the biomineralization experiment). A similar trend was observed with the total covered area, in the case of zeolite, it was 53 ± 2.6% and for LECA, 84 ± 4.1%. The high biofouling of LECA is primarily due to its porous structure and larger surface area compared to zeolite.

3.2. Metal Immobilization on Materials before and after Biofouling (Sorption Experiment)

The results of metal accumulation on raw and biofilm-coated materials are presented in Figure 2. The efficiency of metal sorption on LECA did not exceed 20%, with the exception of mercury, when the sorption efficiency was slightly above 50%. Sorption efficiency on zeolite was significantly higher. Thus, for cadmium, strontium, mercury, and manganese, it was higher than 90%, and for nickel, zinc, copper, and lead, it was in the range of 80–90%. Formation of biofilm on the analyzed materials had a multidimensional effect on the efficiency of sorption. For LECA, the efficiency of all metals’ immobilization increased. The highest efficiency (60–80%) was observed for chromium, zinc, cadmium, and copper. For nickel, cobalt, strontium, and barium, the increase in the efficiency of immobilization was less pronounced. In the case of zeolite, the formation of biofilm resulted in the decrease in manganese, cobalt, nickel, copper, zinc, strontium, cadmium and barium immobilization. Moreover, for cobalt, copper, strontium and barium, the decrease in the sorption efficiency was significant (20–50%). For lead and mercury, the efficiency of immobilization was almost unaffected by the biofilm. Thus, the formation of biofilms on materials with high immobilization characteristics inhibits metal accumulation.

3.3. Metal Immobilization on Materials during Biofouling (Bioaccumulation and Biomineralization Experiment)

The values of the efficiency of metal immobilization on the studied materials during biomass growth with and without the addition of the excess of phosphates in the medium are presented in Table 4. Metal immobilization on materials, particularly for LECA, increased in the biomineralization experiments. Immobilization on LECA was higher than on zeolite, which can be attributed to the greater surface biofouling. The addition of phosphates contributed to the significant increase in strontium and barium immobilization and resulted in 100% immobilization of mercury.

3.4. Evaluation of the Binding Strength of Immobilized Forms of Metals on Analyzed Materials

Table 5 report the data related to the efficiency of metal desorption using groundwater as a desorbing agent (2 h of mixing). According to the results, the strength of metal binding on zeolite was higher despite its lower fouling. In the experiment with LECA coated with biofilm, the highest efficiency of desorption was obtained for cobalt, chromium, copper, barium, and manganese, while for cadmium and zinc, it was very low. On zeolite coated with biofilms, the maximum desorption was observed for chromium and the minimum for cadmium. Thus, in sorption experiments, the majority of metals was not strongly immobilized on organic microbial biofilms.
The metal binding strength on both materials increased significantly during the biomineralization experiment. The highest efficiency of desorption for both materials was observed for Ba and Sr, and for other elements, it was less than 5%. At the addition of phosphates, the efficiency of elements desorption on LECA was less than 5% and on zeolite less than 3%.

4. Discussion

The formation of biofilm on the studied materials occurred differently. The adhesion of biofilms on LECA was strengthened due to the more developed surface macrostructure and high roughness. However, since mesopores are inaccessible for microorganisms, the zeolite surface was not affected by biofouling. As a result, it can be assumed that biofouling and biofilm formation will influence metal immobilization only on LECA. Metal binding on zeolite can be influenced by biofilms as well as by the material’s surface. The experiments revealed that the surfaces of materials, biofilms, and mineral phases formed during microorganism growth and contributed to metal immobilization. Furthermore, biomineralization was mainly responsible for metal immobilization. The mechanisms of metal fixation by microbial biofilms have been thoroughly investigated. They include physical and physicochemical adsorption, such as ion exchange or formation of complexes on biofilm sorption centers [34].

4.1. The Role of Biofouling in Metals Immobilization

It is known that bacterial biofilms consist of a matrix with up to 90–95% polysaccharides based on β-glucuronic acid. The sorption sites of biofilms include hydroxyl (alcohols, carbohydrates), carboxyl (fatty acids, proteins, organic acid residues), amino groups (proteins and nucleic acids), esters (lipids), sulfhydryl groups (cysteine residues, proteins), aldehyde groups (aldehydes and polysaccharides), internal carbonyl groups (ketones and polysaccharides), and phosphate groups [35].
IR spectra recorded before and after the biofouling processes confirmed the materials’ biogenic fouling. The spectrum of LECA after biofilm formation differed significantly from the spectrum of the raw material. Aluminosilicate-like bands were observed prior to biofilm formation: 1035, 799, and 775 cm−1. Two maxima, 993 and 918 cm−1, which are indicative of the stretching vibrations of the C-O and C-C groups, were identified on the band in the range of 1200–900 cm−1 after biofouling (Figure 3a). The spectrum of the zeolite sample showed the appearance of ν(OH) stretching vibrations in the range of 3600–3300 cm−1, as well as the appearance of a band at 1414 cm−1, which can be attributed to the δ(COH) vibration. In addition, the spectrum of the bio-treated zeolite contained water vibration bands: ν(H2O) = 3528, 3381 cm−1 and δ(H2O) = 1640 cm−1, which along with the hydroxy group, can be part of the polysaccharide matrix.
According to the literature (Table A1), the most common complexing agents capable of chelating almost all metals used in the current study are carboxyl, hydroxyl, and thiol groups. Amino (and amide) groups are able to form compounds with Cr, Zn, Ni, Cu, Mn, Cd, Sr, and Hg. Phosphoryl groups have the lowest affinity for Mn, Co, and Sr. Although carbonyl groups can bind Cr, Ni, Cu, Hg, and Pb, their chelate formation is much less active.
Microbial biofilms can be considered as polyfunctional adsorbents for the majority of metals. At the same time the overlapping of the material’s specific surface by the biological matrix can lead to the decrease in the material sorption capacity. This may explain the decrease in zeolite with biofilms sorption capacity toward Mn, Co, Ni, Cu, Sr, and Ba. It can be concluded that functional groups of zeolite play a dominant role in the binding of the mentioned metals.

4.2. The Role of Biomineralization in Metal Immobilization

Previously, a microbial community capable of reducing iron, sulfur, and nitrogen compounds metabolically was discovered in water samples. In the present work, the effect of a single addition of organic matter on physico-chemical conditions was investigated experimentally (Figure 4). Significant shifts in the medium’s redox potential toward the reduction region, as well as the reduction of nitrate ions, were observed up to day 30. Following the establishment of strongly reducing conditions, the concentration of sulfate ions decreased as a result of the sulfate reduction process, which led to sulfide reduction. The microbial processes were more active in the presence of LECA.
Optional conditions for the solid mineral phases formation were determined according to calculation in PhreeqC code (the thermodynamic database llnl.dat was used) [33]. Sulfate-reductive conditions, a shift in the redox potential to the reduction side, and an increase in carbonate ion concentration are required. Carbonate mineral precipitation is primarily caused by anoxic microbial respiration. Sulfide and phosphates were formed in the system as a result of the sulfate reduction. Table 6 and Figure 5 show the results of the SI calculations of solid mineral phases under sulfate reduction conditions. For zinc phosphate (Hopeite, Zn3(PO4)2:4H2O), the SI was also greater than 0 (SI = 4.12).
As a result of biogenic mineralization, according to BTC llnl.dat, the formation of the following metal phases was predicted: Mn in the form of MnCO3 (Rhodochrosite) and in the form of MnS phases (Akabandite), Co as CoS2 (Cattierite), Cd as CdCO3 (Otavite) and CdS, Cu as Cu2S (Chalcocite) and CuS (Covellite), Hg as HgS (Cinnabar), Ni as NiS (Mullerite) and NiS2 (Vaesite), Zn as ZnCO3 (Smithsonite) ZnS (Wurtzite), Pb in the form of Pb3(CO3)2(OH)2 (Hydrocerussite) and PbCO3 (Cerussite), as well as PbS (Galena), Fe in the form of FeCO3 (Siderite) and various sulfide phases such as FeS2 (Pyrite) and FeS (Troilite, Pirrhotite). The addition of phosphates, as well as the production of biogenic carbonate during decomposition of organic carbon, led to a significant decrease in the desorption of strontium and barium, while for other metals, the effect was less pronounced. This can be explained by the formation of calcium phosphate and biogenic calcite (the SI for monohydrocalcite was 0.42, for aragonite > 1, calcite > 1.2, and dolomite > 4), which with high probability, participated in the coprecipitation of strontium (including strontianite) and barium. The addition of phosphates could also lead to the formation of zinc phosphates of the Zn3(PO4)2:4H2O (Hopeite) type.
Iron phases under reducing conditions are the most valuable in the process of biogenic minerals formation. Although the formation of iron oxyhydroxides +3 was not anticipated, sulfide phases were predicted to form because of the highly reducing environment. The elemental maps (S, Fe) acquired using electron microscopy provided further evidence (Figure 6). The accumulation of sulfur and iron phases on LECA (L) and zeolite (Z) after microbial transformation (2) was observed. No substantial iron sulfide crystals were discovered by scanning electron microscopy since the experiment’s time period was insufficient for their formation. The observed sulfide–iron formations were most likely associated with a microbial biofilm.
It is known that ferriferous phases (siderite, pyrite, and other iron sulfides) are active sorbents of metals. The resulting sulfide reacts with chalcophile metals [36] such as copper, iron and zinc [37,38,39]. In a study by Jong et al. [40], it was found that biogenic iron sulfide is a highly effective adsorbent for a wide range of metals and non-metals, including Pb(II), Cu(II), Cd(II), Zn(II), Ni(II), Fe(II), and As(V). In addition to sorption, the formation of sulfide phases can lead to reduction and stabilization of the reduced phases of metals with varying degrees of oxidation, forming a reductive barrier on the material’s surface.

5. Conclusions

The parameters of Cr, Mn, Co, Ni, Cu, Zn, Sr, Cd, Ba, Hg, and Pb immobilization on LECA and zeolite were established taking as an example the permeable biogeochemical barrier near the Siberian Chemical Plant multicomponent waste storage. The geochemical modeling approach predicted the formation of solid mineral phases of iron sulfides and other metals.
It has been established that microbial biofouling does not always promote metal immobilization on the mineral base of the barrier. Mesoporous materials with a high initial sorption capacity were affected by biofilm fouling, which reduced their sorption efficiency. However, biofouling had a beneficial effect on materials with a high surface area of macropores and a characteristically low capacity of metal sorption, significantly increasing their sorption capacity.
The non-uniformity of biofouling on zeolite and LECA demonstrated in this study suggested the feasibility of developing a permeable barrier for the purification of contaminated groundwater with specific functionality. The first component of the barrier can be zeolite, which is less susceptible to fouling and effectively immobilizes metals. LECA can be used as the second part of the barrier to remove metals, nitrates, and sulfates. It was discovered that the biomineralization process on LECA effectively retained metals in sulfide and phosphate forms. For metals of the non-chalcogen group, immobilization is possible with the addition of phosphates. The formation of biogenic iron sulfide precipitate during expanded clay loading is crucial, as it provides a sorption–precipitation phase for the immobilization of the majority of metals.

Author Contributions

Conceptualization, Investigation, Writing—original draft, A.S.; Formal analysis, Investigation, Writing—original draft, N.P.; Formal analysis, Investigation., L.D.; Investigation. N.Y.; Formal analysis K.B.; Investigation D.S.; Investigation G.A.; Investigation, Writing—original draft I.Z. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by state assignments from The Ministry of Science and Higher Education of the Russian Federation (#AAAA-A16-11611091001) and was performed using the equipment of the Core Facilities Center of IPCE RAS (CKP FMI IPCE RAS).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of 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.

Appendix A

Table A1. The role of organic groups in metal immobilization according to literature data.
Table A1. The role of organic groups in metal immobilization according to literature data.
CarboxylCarbonylHydroxylAminoPhosphorylThiol (SH)
Cr[41,42][43][44,45][44][44][41,45]
Mn[46]-[46,47][46]-[46]
Co[48,49][48][49,50][48]-[51]
Ni[52,53][52,53][53,54][53] -
Cu[53,55,56][53,57][57][57][53,55,57][55]
Zn[58,59,60]-[58][58][58,59][51,58,61,62]
Sr[63]- [64]-[63]
Cd[65,66,67]-[53,57][65,67][41][46]
Ba[63]---[68][63]
Hg[69,70,71][69][70,71][70,71][71][62,72,73,74]
Pb[53,75][53][76,77]-[53,75,76,77,78][62,72,73,74]

References

  1. Safonov, A.V.; Boguslavsky, A.E.; Boldyrev, K.A.; Gaskova, O.L.; Naimushina, O.S.; Popova, N.M. Geochemical Modeling of the Uranium Behavior in Groundwater near the Sludge Storages during Bioremediation. Geochem. Int. 2021, 59, 56–65. [Google Scholar] [CrossRef]
  2. Boguslavskii, A.E.; Gas’kova, O.L.; Shemelina, O.V. Geochemical Model of the Environmental Impact of Low-Level Radioactive Sludge Repositories in the Course of Their Decommissioning. Radiochemistry 2016, 58, 323–328. [Google Scholar] [CrossRef]
  3. Safonov, A.V.; Boguslavsky, A.E.; Gaskova, O.L.; Boldyrev, K.A.; Shvartseva, O.S.; Khvashchevskaya, A.A.; Popova, N.M. Biogeochemical Modelling of Uranium Immobilization and Aquifer Remediation Strategies near Nccp Sludge Storage Facilities. Appl. Sci. 2021, 11, 2875. [Google Scholar] [CrossRef]
  4. Conca, J.; Strietelmeier, E.; Lu, N.; Ware, S.D.; Taylor, T.P.; Kaszuba, J.; Wright, J. Treatability Study of Reactive Materials to Remediate Groundwater Contaminated with Radionuclides, Metals, and Nitrates in a Four-Component Permeable Reactive Barrier. In Handbook of Groundwater Remediation Using Permeable Reactive Barriers; Elsevier: Amsterdam, The Netherlands, 2003; pp. 221–252. [Google Scholar]
  5. Benner, S.G.; Blowes, D.W.; Gould, W.D.; Herbert, R.B.; Ptacek, C.J. Geochemistry of a Permeable Reactive Barrier for Metals and Acid Mine Drainage. Environ. Sci. Technol. 1999, 33, 2793–2799. [Google Scholar] [CrossRef]
  6. Ludwig, R.D.; McGregor, R.G.; Blowes; Benner, S.G.; Mountjoy, K. A Permeable Reactive Barrier for Treatment of Heavy Metals. Ground Water 2002, 40, 59–66. [Google Scholar] [CrossRef]
  7. Thiruvenkatachari, R.; Vigneswaran, S.; Naidu, R. Permeable Reactive Barrier for Groundwater Remediation. J. Ind. Eng. Chem. 2008, 14, 145–156. [Google Scholar] [CrossRef]
  8. Vignola, R.; Bagatin, R.; De Folly D’Auris, A.; Flego, C.; Nalli, M.; Ghisletti, D.; Millini, R.; Sisto, R. Zeolites in a Permeable Reactive Barrier (PRB): One Year of Field Experience in a Refinery Groundwater-Part 1: The Performances. Chem. Eng. J. 2011, 178, 204–209. [Google Scholar] [CrossRef]
  9. Faisal, A.A.H.; Hmood, Z.A. Groundwater Protection from Cadmium Contamination by Zeolite Permeable Reactive Barrier. Desalination Water Treat 2015, 53, 1377–1386. [Google Scholar] [CrossRef]
  10. Rocha, L.C.C.; Zuquette, L.V. Evaluation of Zeolite as a Potential Reactive Medium in a Permeable Reactive Barrier (PRB): Batch and Column Studies. Geosciences 2020, 10, 59. [Google Scholar] [CrossRef] [Green Version]
  11. Skinner, S.J.W.; Schutte, C.F. The Feasibility of a Permeable Reactive Barrier to Treat Acidic Sulphate- and Nitrate-Contaminated Groundwater. Water SA 2006, 32, 129–135. [Google Scholar] [CrossRef]
  12. Fuller, C.C.; Bargar, J.R.; Davis, J.A. Molecular-Scale Characterization of Uranium Sorption by Bone Apatite Materials for a Permeable Reactive Barrier Demonstration. Environ. Sci. Technol. 2003, 37, 4642–4649. [Google Scholar] [CrossRef] [PubMed]
  13. Holmes, R.R.; Hart, M.L.; Kevern, J.T. Reuse of Drinking Water Treatment Waste for Remediation of Heavy Metal Contaminated Groundwater. Groundw. Monit. Remediat. 2019, 39, 69–79. [Google Scholar] [CrossRef]
  14. Taha, G.M. Utilization of Low-Cost Waste Material Bagasse Fly Ash in Removing of Cu2+, Ni2+, Zn2+, and Cr3+ from Industrial Waste Water. Groundw. Monit. Remediat. 2006, 26, 137–141. [Google Scholar] [CrossRef] [Green Version]
  15. Thakur, A.K.; Vithanage, M.; Das, D.B.; Kumar, M. A Review on Design, Material Selection, Mechanism, and Modelling of Permeable Reactive Barrier for Community-Scale Groundwater Treatment. Environ. Technol. Innov. 2020, 19, 100917. [Google Scholar] [CrossRef]
  16. Cantrell, K.J.; Kaplan, D.I.; Wietsma, T.W. Zero-Valent Iron for the in Situ Remediation of Selected Metals in Groundwater. J. Hazard. Mater. 1995, 42, 201–212. [Google Scholar] [CrossRef]
  17. Gu, B.; Liang, L.; Dickey, M.J.; Yin, X.; Dai, S. Reductive Precipitation of Uranium(VI) by Zero-Valent Iron. Environ. Sci. Technol. 1998, 32, 3366–3373. [Google Scholar] [CrossRef]
  18. Gibert, O.; Assal, A.; Devlin, H.; Elliot, T.; Kalin, R.M. Performance of a Field-Scale Biological Permeable Reactive Barrier for in-Situ Remediation of Nitrate-Contaminated Groundwater. Sci. Total Environ. 2019, 659, 211–220. [Google Scholar] [CrossRef] [Green Version]
  19. Borch, T.; Kretzschmar, R.; Kappler, A.; Van Cappellen, P.; Ginder-Vogel, M.; Voegelin, A.; Campbell, K. Biogeochemical Redox Processes and their Impact on Contaminant Dynamics. Environ. Sci. Technol. 2010, 44, 15–23. [Google Scholar] [CrossRef]
  20. Silva, G.; Pennafirme, S.; Lopes, R.; Lima, I.; Crapez, M. Imaging Techniques for Monitoring Bacterial Biofilms in Environmental Samples—An Important Tool for Bioremediation Studies. BAOJ Microbiol. 2017, 3, 1–15. [Google Scholar]
  21. Zinicovscaia, I.; Yushin, N.; Grozdov, D.; Abdusamadzoda, D.; Safonov, A.; Rodlovskaya, E. Zinc-Containing Effluent Treatment Using Shewanella Xiamenensis Biofilm Formed on Zeolite. Materials 2021, 14, 1760. [Google Scholar] [CrossRef]
  22. Zinicovscaia, I.; Safonov, A.; Boldyrev, K.; Gundorina, S.; Yushin, N.; Petuhov, O.; Popova, N. Selective Metal Removal from Chromium-Containing Synthetic Effluents Using Shewanella Xiamenensis Biofilm Supported on Zeolite. Environ. Sci. Pollut. Res. 2020, 27, 10495–10505. [Google Scholar] [CrossRef] [PubMed]
  23. Zinicovscaia, I.; Yushin, N.; Grozdov, D.; Vergel, K.; Popova, N.; Artemiev, G.; Safonov, A. Metal Removal from Nickel-Containing Effluents Using Mineral–Organic Hybrid Adsorbent. Materials 2020, 13, 4462. [Google Scholar] [CrossRef] [PubMed]
  24. Zinicovscaia, I.; Yushin, N.; Grozdov, D.; Safonov, A.; Ostovnaya, T.; Boldyrev, K.; Kryuchkov, D.; Popova, N. Bio-Zeolite Use for Metal Removal from Copper-Containing Synthetic Effluents. J. Environ. Health Sci. Eng. 2021, 19, 1383–1398. [Google Scholar] [CrossRef] [PubMed]
  25. Kumar, N.; Chaurand, P.; Rose, J.; Diels, L.; Bastiaens, L. Synergistic effects of sulfate reducing bacteria and zero-valent iron on zinc removal and stability in aquifer sediment. Chem. Eng. 2015, 260, 83–89. [Google Scholar] [CrossRef]
  26. Upadhyay, S.; Sinha, A. Role of microorganisms in permeable reactive bio-barriers (PRBBs) for environmental clean-up: A review. Global NEST J. 2018, 20, 269–280. [Google Scholar]
  27. He, Y.T.; Wilson, J.T.; Wilkin, R.T. Transformation of Reactive Iron Minerals in a Permeable Reactive Barrier (Biowall) Used to Treat TCE in Groundwater. Environ. Sci. Technol. 2008, 42, 6690–6696. [Google Scholar] [CrossRef] [PubMed]
  28. Safonov, A.V.; Andryushchenko, N.D.; Ivanov, P.V.; Boldyrev, K.A.; Babich, T.L.; German, K.E.; Zakharova, E.V. Biogenic Factors of Radionuclide Immobilization on Sandy Rocks of Upper Aquifers. Radiochemistry 2019, 61, 99–108. [Google Scholar] [CrossRef]
  29. Safonov, A.V.; Babich, T.L.; Sokolova, D.S.; Grouzdev, D.S.; Tourova, T.P.; Poltaraus, A.B.; Zakharova, E.V.; Merkel, A.Y.; Novikov, A.P.; Nazina, T.N. Microbial Community and in Situ Bioremediation of Groundwater by Nitrate Removal in the Zone of a Radioactive Waste Surface Repository. Front. Microbiol. 2018, 9, 1985. [Google Scholar] [CrossRef]
  30. Pavlov, S.S.; Dmitriev, A.Y.; Frontasyeva, M.V. Automation system for neutron activation analysis at the reactor IBR-2, Frank Laboratory of Neutron Physics, Joint Institute for Nuclear Research, Dubna, Russia. JRNC 2016, 309, 27–38. [Google Scholar] [CrossRef] [Green Version]
  31. Bogachev, M.I.; Volkov, V.Y.; Markelov, O.A.; Trizna, E.Y.; Baydamshina, D.R.; Melnikov, V.; Murtazina, R.R.; Zelenikhin, P.V.; Sharafutdinov, I.S.; Kayumov, A.R. Fast and simple tool for the quantification of biofilm-embedded cells sub-populations from fluorescent microscopic images. PLoS ONE 2018, 13, e0193267. [Google Scholar] [CrossRef] [Green Version]
  32. Trafny, E.A.; Lewandowski, R.; Zawistowska-Marciniak, I.; Stępińska, M. Use of MTT assay for determination of the biofilm formation capacity of microorganisms in metalworking fluids. World J. Microbiol. Biotechnol. 2013, 29, 1635–1643. [Google Scholar] [CrossRef] [PubMed]
  33. Parkhurst, D. User’s Guide to PHREEQC—A Computer Program for Speciation, Reaction-Path, Advective-Transport, and Inverse Geochemical Calculations. US Geol. Surv. Water-Resour. Investig. Rep. 1995, 143, 95–4227. [Google Scholar] [CrossRef]
  34. Javanbakht, V.; Alavi, S.A.; Zilouei, H. Mechanisms of Heavy Metal Removal Using Microorganisms as Biosorbent. Water Sci. Technol. 2014, 69, 1775–1787. [Google Scholar] [CrossRef] [PubMed]
  35. Sag, Y.; Kutsal, T. Recent Trends in the Biosorption of Heavy Metals: A Review. Biotechnol. Bioprocess Eng. 2001, 6, 376–385. [Google Scholar] [CrossRef]
  36. Viggi, C.C.; Pagnanelli, F.; Toro, L. Sulphate Reduction Processes in Biological Permeable Reactive Barriers: Column Experimentation and Modeling. In Chemical Engineering Transactions; Italian Association of Chemical Engineering—AIDIC: Milan, Italy, 2011; Volume 24, pp. 1231–1236. [Google Scholar]
  37. Marius, M.S.; James, P.A.B.; Bahaj, A.S.; Smallman, D.J. Influence of Iron Valency on the Magnetic Susceptibility of a Microbially Produced Iron Sulphide. In Journal of Physics: Conference Series; Institute of Physics Publishing: Bristol, UK, 2005; Volume 17, pp. 65–69. [Google Scholar]
  38. Mokone, T.P.; van Hille, R.P.; Lewis, A.E. Metal Sulphides from Wastewater: Assessing the Impact of Supersaturation Control Strategies. Water Res. 2012, 46, 2088–2100. [Google Scholar] [CrossRef]
  39. Martins, M.; Faleiro, M.L.; Barros, R.J.; Veríssimo, A.R.; Barreiros, M.A.; Costa, M.C. Characterization and Activity Studies of Highly Heavy Metal Resistant Sulphate-Reducing Bacteria to Be Used in Acid Mine Drainage Decontamination. J. Hazard. Mater. 2009, 166, 706–713. [Google Scholar] [CrossRef] [PubMed]
  40. Jong, T.; Parry, D.L. Adsorption of Pb(II), Cu(II), Cd(II), Zn(II), Ni(II), Fe(II), and As(V) on Bacterially Produced Metal Sulfides. J. Colloid Interface Sci. 2004, 275, 61–71. [Google Scholar] [CrossRef]
  41. Sobol, Z.; Schiestl, R.H. Intracellular and Extracellular Factors Influencing Cr(VI and Cr(III) Genotoxicity. Environ. Mol. Mutagen. 2012, 53, 94–100. [Google Scholar] [CrossRef]
  42. Li, S.; Zhou, Z.; Tie, Z.; Wang, B.; Ye, M.; Du, L.; Cui, R.; Liu, W.; Wan, C.; Liu, Q.; et al. Data-Informed Discovery of Hydrolytic Nanozymes. Nat. Commun. 2022, 13, 1–12. [Google Scholar] [CrossRef]
  43. Jobby, R.; Jha, P.; Yadav, A.K.; Desai, N. Biosorption and Biotransformation of Hexavalent Chromium [Cr(VI)]: A Comprehensive Review. Chemosphere 2018, 207, 255–266. [Google Scholar] [CrossRef]
  44. An, H.; Tian, T.; Wang, Z.; Jin, R.; Zhou, J. Role of Extracellular Polymeric Substances in the Immobilization of Hexavalent Chromium by Shewanella Putrefaciens CN32 Unsaturated Biofilms. Sci. Total Environ. 2022, 810, 151184. [Google Scholar] [CrossRef] [PubMed]
  45. Viti, C.; Marchi, E.; Decorosi, F.; Giovannetti, L. Molecular Mechanisms of Cr(VI) Resistance in Bacteria and Fungi. FEMS Microbiol. Rev. 2014, 38, 633–659. [Google Scholar] [CrossRef] [PubMed]
  46. Huang, H.; Zhao, Y.; Xu, Z.; Ding, Y.; Zhou, X.; Dong, M. A High Mn(II)-Tolerance Strain, Bacillus Thuringiensis HM7, Isolated from Manganese Ore and Its Biosorption Characteristics. PeerJ 2020, 8, e8589. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  47. Snyder, M.S. Biological Control of Manganese in Water Supplies in the Presence of Humic Acids; University of Kentucky: Lexington, KY, USA, 2013. [Google Scholar]
  48. Fawzy, M.A.; Hifney, A.F.; Adam, M.S.; Al-Badaani, A.A. Biosorption of Cobalt and Its Effect on Growth and Metabolites of Synechocystis Pevalekii and Scenedesmus Bernardii: Isothermal Analysis. Environ. Technol. Innov. 2020, 19, 100953. [Google Scholar] [CrossRef]
  49. Su, Y.; Sun, S.; Liu, Q.; Zhao, C.; Li, L.; Chen, S.; Chen, H.; Wang, Y.; Tang, F. Characterization of the Simultaneous Degradation of Pyrene and Removal of Cr(VI) by a Bacteria Consortium YH. Sci. Total Environ. 2022, 853, 158388. [Google Scholar] [CrossRef]
  50. Waris, A.; Din, M.; Ali, A.; Afridi, S.; Baset, A.; Khan, A.U.; Ali, M. Green Fabrication of Co and Co3O4 nanoparticles and Their Biomedical Applications: A Review. Open Life Sci. 2021, 16, 14–30. [Google Scholar] [CrossRef]
  51. Dulay, H.; Tabares, M.; Kashefi, K.; Reguera, G. Cobalt Resistance via Detoxification and Mineralization in the Iron-Reducing Bacterium Geobacter Sulfurreducens. Front. Microbiol. 2020, 11, 600463. [Google Scholar] [CrossRef]
  52. Levett, A.; Gleeson, S.A.; Kallmeyer, J. From Exploration to Remediation: A Microbial Perspective for Innovation in Mining. Earth Sci. Rev. 2021, 216, 103563. [Google Scholar] [CrossRef]
  53. Haque, M.M.; Mosharaf, M.K.; Haque, M.A.; Tanvir, M.Z.H.; Alam, M.K. Biofilm Formation, Production of Matrix Compounds and Biosorption of Copper, Nickel and Lead by Different Bacterial Strains. Front. Microbiol. 2021, 12, 1385. [Google Scholar] [CrossRef]
  54. Haider, A.; Ijaz, M.; Ali, S.; Haider, J.; Imran, M.; Majeed, H.; Shahzadi, I.; Ali, M.M.; Khan, J.A.; Ikram, M. Green Synthesized Phytochemically (Zingiber Officinale and Allium Sativum) Reduced Nickel Oxide Nanoparticles Confirmed Bactericidal and Catalytic Potential. Nanoscale Res. Lett. 2020, 15, 1–11. [Google Scholar] [CrossRef]
  55. Lin, H.; Wang, C.; Zhao, H.; Chen, G.; Chen, X. A Subcellular Level Study of Copper Speciation Reveals the Synergistic Mechanism of Microbial Cells and EPS Involved in Copper Binding in Bacterial Biofilms. Environ. Pollut. 2020, 263, 114485. [Google Scholar] [CrossRef] [PubMed]
  56. Fang, L.; Yang, S.; Huang, Q.; Xue, A.; Cai, P. Biosorption Mechanisms of Cu(II) by Extracellular Polymeric Substances from Bacillus Subtilis. Chem. Geol. 2014, 386, 143–151. [Google Scholar] [CrossRef]
  57. Cheng, X.; Xu, W.; Wang, N.; Mu, Y.; Zhu, J.; Luo, J. Adsorption of Cu2+ and Mechanism by Natural Biofilm. Water Sci. Technol. 2018, 78, 721–731. [Google Scholar] [CrossRef] [PubMed]
  58. Thomas, S.A.; Mishra, B.; Myneni, S.C.B. High Energy Resolution-X-Ray Absorption Near Edge Structure Spectroscopy Reveals Zn Ligation in Whole Cell Bacteria. J. Phys. Chem. Lett. 2019, 10, 2585–2592. [Google Scholar] [CrossRef]
  59. Li, C.C.; Wang, Y.J.; Du, H.; Cai, P.; Peijnenburg, W.J.G.M.; Zhou, D.M. Influence of Bacterial Extracellular Polymeric Substances on the Sorption of Zn on γ-Alumina: A Combination of FTIR and EXAFS Studies. Environ. Pollut. 2017, 220, 997–1004. [Google Scholar] [CrossRef]
  60. Basak, G.; Lakshmi, V.; Chandran, P.; Das, N. Removal of Zn(II) from Electroplating Effluent Using Yeast Biofilm Formed on Gravels: Batch and Column Studies. J. Environ. Health Sci. Eng. 2014, 12, 8. [Google Scholar] [CrossRef] [Green Version]
  61. Desmau, M.; Carboni, A.; Le Bars, M.; Doelsch, E.; Benedetti, M.F.; Auffan, M.; Levard, C.; Gelabert, A. How Microbial Biofilms Control the Environmental Fate of Engineered Nanoparticles? Front. Environ. Sci. 2020, 8, 82. [Google Scholar] [CrossRef]
  62. Kumar, R.; Umar, A.; Kumar, G.; Nalwa, H.S. Antimicrobial Properties of ZnO Nanomaterials: A Review. Ceram. Int. 2017, 43, 3940–3961. [Google Scholar] [CrossRef]
  63. Deng, N.; Stack, A.G.; Weber, J.; Cao, B.; De Yoreo, J.J.; Hu, Y. Organic–Mineral Interfacial Chemistry Drives Heterogeneous Nucleation of Sr-Rich (Bax, Sr1−x)SO4 from Undersaturated Solution. Proc. Natl. Acad. Sci. USA 2019, 116, 13221–13226. [Google Scholar] [CrossRef] [Green Version]
  64. Liu, M.; Dong, F.; Zhang, W.; Nie, X.; Wei, H.; Sun, S.; Zhong, X.; Liu, Y.; Wang, D. Contribution of Surface Functional Groups and Interface Interaction to Biosorption of Strontium Ions by Saccharomyces Cerevisiae under Culture Conditions. RSC Adv. 2017, 7, 50880–50888. [Google Scholar] [CrossRef] [Green Version]
  65. Zhang, J.; Li, Q.; Zeng, Y.; Zhang, J.; Lu, G.; Dang, Z.; Guo, C. Bioaccumulation and Distribution of Cadmium by Burkholderia Cepacia GYP1 under Oligotrophic Condition and Mechanism Analysis at Proteome Level. Ecotoxicol. Environ. Saf. 2019, 176, 162–169. [Google Scholar] [CrossRef] [PubMed]
  66. Boyanov, M.I.; Kelly, S.D.; Kemner, K.M.; Bunker, B.A.; Fein, J.B.; Fowle, D.A. Adsorption of Cadmium to Bacillus Subtilis Bacterial Cell Walls: A PH-Dependent X-Ray Absorption Fine Structure Spectroscopy Study. Geochim. Cosmochim. Acta 2003, 67, 3299–3311. [Google Scholar] [CrossRef]
  67. Xu, S.; Xing, Y.; Liu, S.; Luo, X.; Chen, W.; Huang, Q. Co-Effect of Minerals and Cd(II) Promoted the Formation of Bacterial Biofilm and Consequently Enhanced the Sorption of Cd(II). Environ. Pollut. 2020, 258, 113774. [Google Scholar] [CrossRef]
  68. Martinez-Ruiz, F.; Jroundi, F.; Paytan, A.; Guerra-Tschuschke, I.; Abad, M.D.M.; González-Muñoz, M.T. Barium Bioaccumulation by Bacterial Biofilms and Implications for Ba Cycling and Use of Ba Proxies. Nat. Commun. 2018, 9, 1–9. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  69. Bourdineaud, J.P.; Durn, G.; Režun, B.; Manceau, A.; Hrenović, J. The Chemical Species of Mercury Accumulated by Pseudomonas Idrijaensis, a Bacterium from a Rock of the Idrija Mercury Mine, Slovenia. Chemosphere 2020, 248, 126002. [Google Scholar] [CrossRef] [PubMed]
  70. Fathollahi, A.; Coupe, S.J.; El-Sheikh, A.H.; Sañudo-Fontaneda, L.A. The Biosorption of Mercury by Permeable Pavement Biofilms in Stormwater Attenuation. Sci. Total Environ. 2020, 741, 140411. [Google Scholar] [CrossRef]
  71. Dash, H.R.; Das, S. Interaction between Mercuric Chloride and Extracellular Polymers of Biofilm-Forming Mercury Resistant Marine Bacterium: Bacillus Thuringiensis PW-05. RSC Adv. 2016, 6, 109793–109802. [Google Scholar] [CrossRef]
  72. Desmau, M.; Levard, C.; Vidal, V.; Ona-Nguema, G.; Charron, G.; Benedetti, M.F.; Gélabert, A. How Microbial Biofilms Impact the Interactions of Quantum Dots with Mineral Surfaces? NanoImpact 2020, 19, 100247. [Google Scholar] [CrossRef]
  73. Yu, Q.; Szymanowski, J.; Myneni, S.C.B.; Fein, J.B. Characterization of Sulfhydryl Sites within Bacterial Cell Envelopes Using Selective Site-Blocking and Potentiometric Titrations. Chem. Geol. 2014, 373, 50–58. [Google Scholar] [CrossRef]
  74. Mishra, B.; Shoenfelt, E.; Yu, Q.; Yee, N.; Fein, J.B.; Myneni, S.C.B. Stoichiometry of Mercury-Thiol Complexes on Bacterial Cell Envelopes. Chem. Geol. 2017, 464, 137–146. [Google Scholar] [CrossRef]
  75. Templeton, A.S.; Trainor, T.P.; Spormann, A.M.; Newville, M.; Sutton, S.R.; Dohnalkova, A.; Gorby, Y.; Brown, G.E. Sorption versus Biomineralization of Pb(II) within Burkholderia Cepacia Biofilms. Environ. Sci. Technol. 2003, 37, 300–307. [Google Scholar] [CrossRef] [PubMed]
  76. Sowmya, M.; Mohamed Hatha, A.A. Cadmium and Lead Tolerance Mechanisms in Bacteria and the Role of Halotolerant and Moderately Halophilic Bacteria in Their Remediation. In Handbook of Metal-Microbe Interactions and Bioremediation; CRC Press: Boca Raton, FL, USA, 2017; pp. 557–573. ISBN 9781315153353. [Google Scholar]
  77. Kumari, S.; Mangwani, N.; Das, S. Interaction of Pb(II) and Biofilm Associated Extracellular Polymeric Substances of a Marine Bacterium Pseudomonas Pseudoalcaligenes NP103. Spectrochim Acta A Mol. Biomol. Spectrosc. 2017, 173, 655–665. [Google Scholar] [CrossRef] [PubMed]
  78. Ngwenya, B.T.; Sutherland, I.W.; Kennedy, L. Comparison of the Acid-Base Behaviour and Metal Adsorption Characteristics of a Gram-Negative Bacterium with Other Strains. Appl. Geochem. 2003, 18, 527–538. [Google Scholar] [CrossRef]
Figure 1. Micrographs of materials on the 20th day: zeolite–bio (a), zeolite–biomineralization (b), LECA–bio (c) and LECA–biomineralization (d). Red channel is polysaccharides, and green is nucleic acids.
Figure 1. Micrographs of materials on the 20th day: zeolite–bio (a), zeolite–biomineralization (b), LECA–bio (c) and LECA–biomineralization (d). Red channel is polysaccharides, and green is nucleic acids.
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Figure 2. Metal immobilization on untreated and biofilm-coated materials.
Figure 2. Metal immobilization on untreated and biofilm-coated materials.
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Figure 3. IR spectra of materials studied before and after biofouling: LECA (a) and zeolite (b).
Figure 3. IR spectra of materials studied before and after biofouling: LECA (a) and zeolite (b).
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Figure 4. Kinetics of eH and Fe and SO4–2 concentration change in solutions in biomineralization experiment.
Figure 4. Kinetics of eH and Fe and SO4–2 concentration change in solutions in biomineralization experiment.
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Figure 5. The results of solid mineral phases saturation index (SI) calculation under sulfate reduction conditions.
Figure 5. The results of solid mineral phases saturation index (SI) calculation under sulfate reduction conditions.
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Figure 6. Microphotographs of the analyzed samples. Color mapping: purple for sulfur; yellow-green for iron.
Figure 6. Microphotographs of the analyzed samples. Color mapping: purple for sulfur; yellow-green for iron.
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Table 1. Characteristics of the analyzed groundwater sample.
Table 1. Characteristics of the analyzed groundwater sample.
Major Elements *, mg/LTrace Elements **, µg/L
pH6.34 ± 0.2Al145 ± 4.4As0.6 ± 0.1Cs0.01 ± 0.001
salt concentration6670 ± 200Si9893 ± 297Br128 ± 0.2Ba612 ± 18.4
Na+647 ± 19Sc2 ± 0.1Se2.7 ± 0.1La0.74 ± 0.02
K+8.9 ± 0.3Ti3.1 ± 0.1Rb0.25 ± 0.2Ce1.16 ± 0.04
Ca2+762.3 ± 22.8V0.9 ± 0.02Sr993 ± 30W0.3 ± 0.01
Mg2+139.7 ± 4.2Cr5.06 ± 0.2Zr0.1 ± 0.01Pb0.92 ± 0.03
NH4+12.3 ± 0.03Mn4482 ± 135Nb0.3 ± 0.01Th0.04 ± 0.001
NO33849 ± 115Fe17563 ± 527Mo2.24 ± 0.06U0.72 ± 0.02
SO42−467 ± 14Co16.5 ± 0.5Ru0.03 ± 0.001
Cl6.3 ± 0.2Ni145 ± 4.4Rh2.03 ± 0.06
HCO3305.1 ± 9.2Cu60 ± 1.8Pd0.02 ± 0.001
Ptot32.5 ± 1Zn150 ± 4.5Cd11.3 ± 0.34
* Detection limit = 100 μg/L, with the exceptions of K, Cl = 10 μg/L, and P = 25 μg/L. ** Detection limit: As, Nb, Ba = 0.1 μg/L; Br = 16 μg/L; Se = 1.6 μg/L; Zr, Nb, Ru, Pd, Cd, W = 0.01 μg/L; Mo, Pb = 0.02 μg/L, Cs = 0.001 μg/L; La = 0.003 μg/L; Ce = 0.004 μg/L; Th, U = 0.002 μg/L.
Table 2. Kinetics of total organic carbon accumulation on the studied materials (mg/g) *.
Table 2. Kinetics of total organic carbon accumulation on the studied materials (mg/g) *.
SampleTime, Days
057152030405060
Zeolite0.12 ± 0.0043.8 ± 0.134.6 ± 0.157.1 ± 0.228.5 ± 0.38.4 ± 0.34.5 ± 0.153.9 ± 0.133.5 ± 0.11
LECA0.26 ± 0.014.5 ± 0.157.9 ± 0.312.8 ± 0.4512.9 ± 0.412.4 ± 0.4311.5 ± 0.3811.0 ± 0.3510.9 ± 0.33
* Uncertainty of the TOC result is less than 5%, according to the Shimadzu TOC Measurement Manual.
Table 3. Topological parameters of biofilm on analyzed materials (after 20 days of growth) studied by confocal scanning laser microscopy.
Table 3. Topological parameters of biofilm on analyzed materials (after 20 days of growth) studied by confocal scanning laser microscopy.
SampleNucleic Acid, %Polysaccharides, %Total Area of Fouling, %
Zeolite–bio5 ± 0.254 ± 2.659 ± 2.9
LECA–bio14 ± 0.775 ± 3.889 ± 4.3
Zeolite–biomineralization8 ± 0.445 ± 2.253 ± 2.6
LECA–biomineralization13 ± 0.671 ± 3.684 ± 4.1
Table 4. Efficiency (%) of metal immobilization on materials in biomineralization experiments with phosphates (bmp) and without phosphates (bm).
Table 4. Efficiency (%) of metal immobilization on materials in biomineralization experiments with phosphates (bmp) and without phosphates (bm).
MetalLECA (bio)LECA (bm)LECA (bmp)Zeolite (bio)Zeolite (bm)Zeolite (bmp)
Cr29.3 ± 1.097.5 ± 4.498.7 ± 4.365.5 ± 1.690.7 ± 4.091.5 ± 3.9
Mn26.7 ± 1.098.7 ± 4.299.4 ± 4.544.8 ± 0.989.4 ± 3.790.8 ± 3.7
Co18.6 ± 0.899.1 ± 4.598.1 ± 4.356.1 ± 1.982.3 ± 3.984.7 ± 2.9
Ni37.1 ± 1.799.6 ± 4.599.5 ± 4.467.4 ± 2.082.32.699.5 ± 3.9
Cu34.6 ± 1.492.5 ± 4.089.1 ± 3.034.5 ± 0.885.4 ± 2.488.1 ± 2.6
Zn68.4 ± 3.498.9 ± 4.499.8 ± 4.778.9 ± 3.692.1 ± 4.090.4 ± 3.7
Sr14.7 ± 0.731.2 ± 1.2100 ± 5.044.7 ± 1.257.9 ± 1.9100 ± 4.5
Cd75 ± 3.098.1 ± 4.799.2 ± 4.383 ± 3.098.4 ± 3.899.1 ± 4.4
Ba13.4 ± 0.316.2 ± 0.789.7 ± 3.819.7 ± 0.731.2 ± 1.598.5 ± 4.2
Hg68.9 ± 2.5100 ± 4.4100 ± 4.591.2 ± 2.6100 ± 4.8100 ± 4.5
Pb49.1 ± 1.897.9 ± 4.298.6 ± 3.989.1 ± 2.499.8 ± 4.899.3 ± 4.3
Table 5. Efficiency of metal desorption from the LECA and zeolite using groundwater as a desorbing agent.
Table 5. Efficiency of metal desorption from the LECA and zeolite using groundwater as a desorbing agent.
MetalLECA (bio)LECA (bm)LECA (bmp)Zeolite (bio)Zeolite (bm)Zeolite (bmp)
Cr64.9 ± 2.92.2 ± 0.12.11 ± 0.0141.9 ± 2.12.1 ± 0.011.7 ± 0.03
Mn72.8 ± 3.51.3 ± 0.072.11 ± 0.0132.3 ± 1.51.5 ± 0.011.9 ± 0.03
Co81.6 ± 3.93.9 ± 0.094.1 ± 0.130.4 ± 1.43.1 ± 0.022.9 ± 0.4
Ni49.4 ± 2.51.1 ± 0.031.8 ± 0.0139.4 ± 1.90.9 ± 0.011.3 ± 0.01
Cu54.3 ± 2.81.5 ± 0.051.71 ± 0.0139.8 ± 1.71.9 ± 0.21.8 ± 0.03
Zn43.4 ± 2.11.2 ± 0.060.9 ± 0.00327.4 ± 1.23.9 ± 0.11.5 ± 0.03
Sr52.9 ± 2.734.1 ± 1.41.91 ± 0.0338.9 ± 1.728.3 ± 0.080.9 ± 0.02
Cd43.6 ± 2.01.6 ± 0.051.5 ± 0.0217.4 ± 0.81.3 ± 0.011.7 ± 0.01
Ba77.7 ± 3.142.4 ± 2.12.11 ± 0.529.2 ± 1.020.1 ± 1.01.1 ± 0.02
Hg12.8 ± 0.64.5 ± 0.03.1 ± 0.75.8 ± 0.011.1 ± 0.050.3 ± 0.001
Pb49.2 ± 2.21.5 ± 0.50.34 ± 0.0123.7 ± 1.21.1 ± 0.050.84 ± 0.02
Table 6. Thermodynamic modeling (PhreeqC 2.1 software with the llnl.dat) of mineral phases formation at saturation indices (SI) > 0.
Table 6. Thermodynamic modeling (PhreeqC 2.1 software with the llnl.dat) of mineral phases formation at saturation indices (SI) > 0.
PhaseWithout Additions, pH 6.5Sulfates Addition 500 mg, pH 8Sulfates Addition 500 mg, Phosphates Addition, pH 8Phosphates Addition, 500 mgFormula
Carbonates
Aragonite−0.81.71.61.6CaCO3
Calcite−0.71.91.71.7CaCO3
Cerussite2.12.22.12.1PbCO3
Dolomite−0.74.64.24.2CaMg(CO3)2
Dolomite-dis−2.33.02.52.5CaMg(CO3)2
Dolomite-ord−0.74.64.24.2CaMg(CO3)2
Huntite−7.53.32.32.3CaMg3(CO3)4
Hydrocerussite3.53.73.43.4Pb3(CO3)2(OH)2
Monohydrocalcite3.53.73.43.4CaCO3:H2O
Magnesite−1.61.00.70.7MgCO3
Otavite1.03.43.33.3CdCO3
Rhodochrosite−0.41.61.41.4MnCO3
Siderite−0.70.80.70.7FeCO3
Smithsonite−1.21.10.50.5ZnCO3
Strontianite−0.32.42.42.4SrCO3
ZnCO3:H2O−0.61.71.11.1ZnCO3:H2O
Sulfides
Alabandite−1.60.90.60.7MnS
Bornite84.196.596.490.8Cu5FeS4
Cattierite9.213.313.312.4CoS2
CdS14.417.317.215.8CdS
Chalcocite30.834.234.232.8Cu2S
Chalcopyrite22.127.727.624.8CuFeS2
CoS3.84.34.34.8CoS
Covellite14.217.717.716.3CuS
Galena13.013.613.412.1PbS
Metacinnabar18.822.222.220.8HgS
Millerite6.39.69.68.2NiS
Pyrite6.712.412.39.5FeS2
Pyrrhotite1.63.73.52.1FeS
Troilite1.73.83.62.3FeS
Vaesite9.116.116.013.2NiS2
Wurtzite7.410.39.768.3ZnS
Phosphates
Hopeite 4.674.6Zn3(PO4)2:4H2O
Pb4O(PO4)2 6.76.7Pb4O(PO4)2
PbHPO4 5.05.0Pb4O(PO4)2
Oxyhydroxide
Delafossite4.99.49.39.3CuFeO2
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Popova, N.; Artemiev, G.; Zinicovscaia, I.; Yushin, N.; Demina, L.; Boldyrev, K.; Sobolev, D.; Safonov, A. Biogeochemical Permeable Barrier Based on Zeolite and Expanded Clay for Immobilization of Metals in Groundwater. Hydrology 2023, 10, 4. https://doi.org/10.3390/hydrology10010004

AMA Style

Popova N, Artemiev G, Zinicovscaia I, Yushin N, Demina L, Boldyrev K, Sobolev D, Safonov A. Biogeochemical Permeable Barrier Based on Zeolite and Expanded Clay for Immobilization of Metals in Groundwater. Hydrology. 2023; 10(1):4. https://doi.org/10.3390/hydrology10010004

Chicago/Turabian Style

Popova, Nadezhda, Grigoriy Artemiev, Inga Zinicovscaia, Nikita Yushin, Ludmila Demina, Kirill Boldyrev, Denis Sobolev, and Alexey Safonov. 2023. "Biogeochemical Permeable Barrier Based on Zeolite and Expanded Clay for Immobilization of Metals in Groundwater" Hydrology 10, no. 1: 4. https://doi.org/10.3390/hydrology10010004

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