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Imaging Biologically Induced Mineralization in Fully Hydrated Flow Systems

Published online by Cambridge University Press:  31 August 2011

Logan Schultz ,
Betsey Pitts ,
Andrew C. Mitchell ,
Alfred B. Cunningham  and
Robin Gerlach
Logan Schultz
Affiliation:
Center for Biofilm Engineering, P.O. Box 173980, Montana State University, Bozeman, MT 59717
Betsey Pitts
Affiliation:
Center for Biofilm Engineering, P.O. Box 173980, Montana State University, Bozeman, MT 59717
Andrew C. Mitchell
Affiliation:
Center for Biofilm Engineering, P.O. Box 173980, Montana State University, Bozeman, MT 59717 Institute of Geography and Earth Sciences, Aberystwyth University, SY23 3DB, UK
Alfred B. Cunningham
Affiliation:
Center for Biofilm Engineering, P.O. Box 173980, Montana State University, Bozeman, MT 59717
Robin Gerlach*
Affiliation:
Center for Biofilm Engineering, P.O. Box 173980, Montana State University, Bozeman, MT 59717
*
robin_g@biofilm.montana.edu

Extract

A number of proposed technologies involve the controlled implementation of biologically induced carbonate mineral precipitation in the geologic subsurface. Examples include the enhancement of soil stability, immobilization of groundwater contaminants such as strontium and uranium, and the enhancement of oil recovery and geologic carbon sequestration via controlled permeability reduction. The most significant challenge in these technologies remains to identify and better understand an industrially, environmentally, and economically viable carbonate precipitation route.

Type
Feature Article
Information
Microscopy Today , Volume 19 , Issue 5 , September 2011 , pp. 12 - 15
Copyright
Copyright © Microscopy Society of America 2011

Introduction

A number of proposed technologies involve the controlled implementation of biologically induced carbonate mineral precipitation in the geologic subsurface. Examples include the enhancement of soil stability [Reference Whiffin, van Paassen and Harkes1], immobilization of groundwater contaminants such as strontium and uranium [Reference Mitchell and Ferris2], and the enhancement of oil recovery and geologic carbon sequestration via controlled permeability reduction [Reference Ferris, Stehmeier, Kantzas and Mourits3]. The most significant challenge in these technologies remains to identify and better understand an industrially, environmentally, and economically viable carbonate precipitation route.

One of the most promising routes is ureolytic biomineralization, because of the ample availability of urea and the controllable reaction rate. In this process, ureolytic bacteria hydrolyze urea, leading to an increase in pH. In the presence of calcium, this process favors the formation of solid calcium carbonate, as illustrated in the following equations:

(1)
$$ \eqalign{ & {\rm CO(NH}_{\rm 2} {\rm )} + {\rm H}_{\rm 2} {\rm O} \to {\rm NH}_{\rm 2} {\rm COOH} + {\rm NH}_{\rm 3} \cr & \quad \to 2{\rm NH}_{\rm 3} + {\rm CO}_{\rm 2} {\rm (Urea hydrolysis)} \cr} $$

(2)
$$ {\rm 2 NH}_{\rm 3} + {\rm 2 H}_{\rm 2} {\rm O} \leftrightarrow {\rm 2NH}_{\rm 4} ^{\rm + } + {\rm 2OH}^ - {\rm (pH increase)} $$

(3)
$$ {\rm CO}_{\rm 2} + {\rm 2 OH}^ - \leftrightarrow {\rm CO}_{\rm 3} ^{2 - } + {\rm H}_{\rm 2} {\rm O (Carbonate ion formation)} $$

(4)
$$ {\rm CO}_{\rm 3} ^{2 - } + {\rm Ca}^{{\rm 2 + }} \leftrightarrow {\rm CaCO}_{{\rm 3 (solid)}} {\rm (Precipitation is favored at high pH)} $$

This process relies on molecular-level chemical and biological processes that must be better understood for large-scale implementation.

Researchers at the Center for Biofilm Engineering at Montana State University (USA) and Aberystwyth University (UK) have conducted several biomineralization experiments in simulated porous media reactors. Microscopy has proven to be one of the most useful analytical tools in these studies, providing the ability to non-invasively visualize, differentiate, and quantify the various components, including the cells, cell matrix, and mineral precipitates. Because of the possibility of real-time observation and the lack of dehydration artifacts, microscopy has been tremendously useful for elucidating the temporal and spatial relationships of these components.

Methods and Materials

The soil bacterium Sporosarcina pasteurii was used to induce ureolysis. For each study, the flow reactor was inoculated with a culture of S. pasteurii, and the cells were allowed to attach for 1.5 hours before flow was started. The flow medium, consisting of nutrient broth, urea, and dissolved calcium, was pH-adjusted to 6.0 to avoid immediate mineral precipitation.

A Nikon SMZ 1500 stereo microscope was used to provide a view of the biomineralized reactor and to quantify the volume fraction of precipitates within the pore networks. A Leica TCS-SP2 AOBS confocal laser scanning microscope (CLSM) was used to evaluate the micro-scale interaction between the crystalline surfaces and the biofilm. Flow medium was collected at the outlet of the reactor and analyzed for Ca, NH4+, and pH. This article discusses some techniques and examples of imaging biomineralization in flow reactors with these tools.

Results

Stereo Microscopy. To characterize the spatial and temporal development of precipitates in a network of pores, the stereo microscope was placed over the reactor system (Figure 1).

Figure 1: (a) Schematic of the 2-dimensional reactor with a network of 1 mm pores. Flow moved from left to right across the system. The bacteria were introduced through the injection port, and the effluent samples were extracted through the sample port for chemical and biological analyses. (b) Photograph of the reactor under observation by the Nikon SMZ 1500 stereo microscope during biomineralization experiment.

Throughout the 15-hour experiment, images of one region near the inlet were taken at regular time intervals, allowing for a time-lapse video of the mineral growth to be constructed. This video provided insight into nucleation and precipitation kinetics. At the end of the experiment, when the reactor had been terminally plugged, images were taken along the length of the reactor. These images, displayed in Figure 2 below, highlight a gradient in mineral size from inlet to outlet.

Figure 2: Selected stereomicroscopy images taken from above the reactor and focused on mineral formation on the interior surface of the glass cover slip. (a) Inlet region showing the greatest degree of biomineralization, (b) 2 cm into the reactor, (c) 5 cm into the reactor, and (d) outlet region (approx. 8 cm into the reactor). Note the size gradient from inlet to outlet. Images such as these provided the data for size, density, and solubility calculations as a function of reactor location and retention time.

From images, such as those in Figure 2, quantitative data about the process can be obtained. Using ImageJ software [Reference Rasband4], the precipitates in each field of view were counted and measured. Subsequent X-ray diffraction analysis of the precipitates showed that calcite was the predominant mineral. Assuming the precipitates to be the density of calcite (2.71 g/cm3) and spherical in shape, the total amount of calcium immobilized within the reactor was estimated to be 49.1 mg. Knowing the chemical composition of the inlet and outlet, in addition to the fluid flow rate, the total amount of calcium immobilized was estimated to be 82 mg based on an effluent mass balance. Because the image-analysis method did not account for the smallest precipitates (that is, less than approximately 0.02 mm diameter) or the entirety of the densely precipitated inlet region (see Figure 2a), this low estimate makes sense. Our analysis suggests, though, that quantitative image-analysis approaches can be effective for reactors in which image clarity is not affected by large numbers of precipitates.

A solubility constant of each measured crystal was estimated for the given molar surface area, and the crystal solubility was calculated for each region of the reactor, based on relationships outlined by Stumm et al. [Reference Stumm and Morgan5] and Mitchell and Ferris [Reference Mitchell and Ferris2]. The results shown in Figure 3 suggest that the crystal solubility increased with distance into the porous media reactor because of the larger free surface energy of the smaller crystals.

Figure 3: Estimated crystal solubility constant (KsO) as a function of the estimated crystal surface area based on image analysis. Calculations were performed using the methods outlined by Stumm et al. [Reference Stumm and Morgan5] and Mitchell and Ferris [Reference Mitchell and Ferris2].

Confocal Laser Scanning Microscopy (CLSM). The large-scale processes observed by stereo microscopy and chemical analysis of the flow medium at the outlet of the reactor are ultimately dictated by processes that occur on a much smaller scale, demanding the ability to visualize microbe-mineral interactions on a smaller scale. Confocal laser scanning microscopy provided higher-resolution differentiation of the components involved in the biologically induced mineralization processes and aided our ability to understand and ultimately control the overall process. Glass capillary flow systems, previously used in our laboratory, were used for this purpose (Figure 4) [Reference Pitts and Stewart6]. The 0.17 mm thick glass walls allow for non-invasive CLSM. The Leica TCS-SP2 AOBS confocal microscope employing a Leica 63× water immersion lens (2 mm working distance) was used. Imaris image-analysis software (Bitplane Scientific Software, St. Paul, MN) was used to compile the z-stacks into 3-dimensional images.

Figure 4: (a) Illustration of a 1 mm square glass capillary flow-cell system. Minerals and bacteria are imaged through the glass ceiling of the capillary. Figure adapted from Pitts and Stewart [Reference Pitts and Stewart6]. (b) Photograph of the reactor being imaged.

After the system was run for 2 days and visible minerals had formed, fluorescent stains were applied to the reactors to differentiate the various components. In the first study, SYTO-11 and C2-dichlorotriazine (C2d) (Invitrogen, Carlsbad, CA) were used. C2d (red) is expected to bind to alcohols, polysaccharides, and amines (invitrogen.com) and thus reveal the compounds most likely associated with the extracellular matrix; SYTO-11 (green) is a nucleic acid stain that is expected to bind to bacterial cells.

Figure 5 shows several images of cells and extracellular matrix surrounding what appear to be mineral precipitates (calcite). The cells appear to be attached preferentially to the calcite surface over the glass surface. Figure 5a displays a stack of CLSM images at low magnification. The image spans the whole width (1 mm) of the capillary flow cell and shows clusters of cells and matrix surrounding dark areas (filled with calcite mineral). Figure 5b shows a three-dimensional reconstruction of clusters of bacteria and extracellular polymeric substances, which, as seen in Figures 5c and 5d, surround areas without fluorescence suggesting that calcium carbonate precipitates attached to the glass surface of the capillary flow cells are surrounded by bacterial cells and extracellular polymeric substances.

Figure 5: CLSM images of cells and biofilm stained with SYTO-11 (green) and C2d (red) inside capillary. (a) Image of flow cell highlighting the intimate relationship between attached cells and calcite surfaces. (b) 3-D reconstructed image of the perspective from inside the capillary showing cells and cell matrix surrounding calcite crystals. (c) 2-D CLSM image slice highlighting a cross section at the interior of precipitates. (d) 3-D reconstructed image of cells and cell matrix from the perspective of outside of the capillary. Only the outside of these clusters is touching the glass, and the apparent void space in the center is occupied by calcite crystals, which were not visualized in this image (see Figure 6 for reflection image overlays illustrating the presence of calcium carbonate deposits). Scale bars are 150, 30, 20, and 20 μm for a, b, c, and d, respectively.

A second study was conducted with the goal of visualizing the calcite surface topography in addition to the bacteria. This was achieved by overlaying a series of images taken in confocal reflection contrast mode with a series of fluorescent CLSM images. In this experiment, Invitrogen Corporation's LIVE/DEAD® stain was used, which consists of the fluorescent DNA stains SYTO-9 (green) and propidium iodide (red). According to Invitrogen, SYTO-9 can penetrate intact cell walls and stain the DNA whereas propidium iodide cannot penetrate intact cell walls of live cells and thus indicates “dead” cellular material.

Figure 6a reveals the formation of small precipitates alongside attached bacteria, and Figure 6b reveals the surface topography of a precipitate attached to the glass surface. Very few cells were visible between the mineral and the glass surface, suggesting that cells were either absent from this region or that the fluorescent stains were unable to penetrate these regions. There appears to be a higher proportion of red (propidium iodide) stained “dead” cellular material associated with the calcite crystal surface and the bottom of the biofilm proximal to the glass surface in Figure 6b. This suggests that solute transport in these environments might be limited, possibly because of the development of regions with low solute permeability or biological uptake of nutrients by the biofilm above.

Figure 6: (a) CLSM images of cells and biofilm stained with SYTO-11 (green) and propidium iodide (red) inside capillary. A reflection contrast mode image is overlaid, showing small CaCO3 precipitates in close proximity to bacterial cells, as labeled. (b) CLSM image from the perspective of outside the capillary. The overlaid reflection image indicates the surface topography of a large precipitate attached to the glass, and the fluorescent stains show the attached cells and cell-matrix surrounding the precipitates. According to Invitrogen, SYTO-9 can penetrate intact cell walls and stain the DNA, whereas propidium iodide cannot penetrate intact cell walls of live cells and thus indicates “dead” cellular material that may exist in the biofilm surrounding the precipitate. Scale bars are 10 and 15 μm for a and b, respectively.

Discussion

These studies have highlighted the usefulness of microscopic techniques at two different scales to better understand the process of biomineralization quantitatively and qualitatively.

Stereomicroscopy was used to analyze the size and distribution of calcite precipitates, the overall immobilization of dissolved calcium, and the solubility of precipitates as a function of position. The limitations of resolution (that is, not accounting for the smallest crystals) in addition to the limited ability to quantify the most densely precipitated inlet region led to an underestimate of overall calcium immobilization compared to a solution chemistry-based estimate. However, the benefits of this in situ method to quantify mineral deposition and substrate conversion with respect to the location along the flow path are significant. Controlling the spatial distribution of calcium carbonate precipitates can provide an invaluable tool for the development of strategies to manipulate porous media permeability and reactive transport on large scales. For example, during soil stabilization [Reference Whiffin, van Paassen and Harkes1], contaminant co-precipitation [Reference Mitchell and Ferris2], and geologic carbon sequestration [Reference Mitchell, Dideriksen, Spangler, Cunningham and Gerlach7, Reference Cunningham, Gerlach, Spangler and Mitchell8] it will be important to either promote or prevent biomineral clogging at a certain distance from the injection point.

The original confocal scanning laser microscopy work by Pitts and Stewart [Reference Pitts and Stewart6] demonstrating the power of observing biofilms in-situ using CLSM was expanded in this study to include biomineral formation. The findings of this paper show that mineral surfaces can provide a suitable environment for microbial attachment and that the effect of bacteria may extend beyond the alteration of bulk fluid chemistry (for example, ureolysis). Further, attached microbial communities may have significant local effects on the chemical, biological, and nucleation environment at the mineral surface.

Future Work

Ongoing investigations are seeking to gain a better understanding of the association of bacteria throughout the process of precipitate formation. For instance, it is unclear at this point whether cells attach prior to mineral nucleation or if calcium carbonate precipitates form prior to bacterial attachment on the mineral surface. Additional experimental work will also focus on understanding the distribution of cells in the interior of the mineral precipitates; the characterization of geochemical gradients within the systems, for example, using pH-indicator dyes; and the influence of temperature and pressure on biomineral formation.

Acknowledgments

This work was supported by the U.S. Department of Energy (DOE) Zero Emissions Research Technology (ZERT) program, award no. DE-FC26-04NT42262; the DOE Office of Science, Environmental Remediation Science Program (ERSP), contract no. DE-FG02-09ER64758; the U.S. Department of Energy EPSCoR program under grant no. DE-FG02-08ER46527; and the National Science Foundation Award No. DMS-0934696. The authors also acknowledge funding for the establishment and operation of the Environmental and Biofilm Mass Spectrometry Facility at Montana State University through the Defense University Research Instrumentation Program (DURIP, Contract Number: W911NF0510255) and the MSU Thermal Biology Institute from the NASA Exobiology Program (Project NAG5-8807). Imaging facilities were provided by the Center for Biofilm Engineering, Bozeman, MT, and the confocal microscope was funded through a grant from the M.J. Murdock Charitable Trust.

References

[1]Whiffin, V, van Paassen, L, and Harkes, M, Geomicrobiol J 24 (2007) 417–23.CrossRefGoogle Scholar
[2]Mitchell, A and Ferris, G, Environ Sci Technol 40 (2006) 213–26.CrossRefGoogle Scholar
[3]Ferris, G, Stehmeier, L, Kantzas, A, and Mourits, F, J Can Petrol Technol 13 (1996) 57–67.Google Scholar
[4]Rasband, W, ImageJ, U.S. National Institutes of Health, Bethesda, Maryland, USA. http://rsb.info.nih.gov/ij/. 1997–2009.Google Scholar
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Figure 0

Figure 1: (a) Schematic of the 2-dimensional reactor with a network of 1 mm pores. Flow moved from left to right across the system. The bacteria were introduced through the injection port, and the effluent samples were extracted through the sample port for chemical and biological analyses. (b) Photograph of the reactor under observation by the Nikon SMZ 1500 stereo microscope during biomineralization experiment.

Figure 1

Figure 2: Selected stereomicroscopy images taken from above the reactor and focused on mineral formation on the interior surface of the glass cover slip. (a) Inlet region showing the greatest degree of biomineralization, (b) 2 cm into the reactor, (c) 5 cm into the reactor, and (d) outlet region (approx. 8 cm into the reactor). Note the size gradient from inlet to outlet. Images such as these provided the data for size, density, and solubility calculations as a function of reactor location and retention time.

Figure 2

Figure 3: Estimated crystal solubility constant (KsO) as a function of the estimated crystal surface area based on image analysis. Calculations were performed using the methods outlined by Stumm et al. [5] and Mitchell and Ferris [2].

Figure 3

Figure 4: (a) Illustration of a 1 mm square glass capillary flow-cell system. Minerals and bacteria are imaged through the glass ceiling of the capillary. Figure adapted from Pitts and Stewart [6]. (b) Photograph of the reactor being imaged.

Figure 4

Figure 5: CLSM images of cells and biofilm stained with SYTO-11 (green) and C2d (red) inside capillary. (a) Image of flow cell highlighting the intimate relationship between attached cells and calcite surfaces. (b) 3-D reconstructed image of the perspective from inside the capillary showing cells and cell matrix surrounding calcite crystals. (c) 2-D CLSM image slice highlighting a cross section at the interior of precipitates. (d) 3-D reconstructed image of cells and cell matrix from the perspective of outside of the capillary. Only the outside of these clusters is touching the glass, and the apparent void space in the center is occupied by calcite crystals, which were not visualized in this image (see Figure 6 for reflection image overlays illustrating the presence of calcium carbonate deposits). Scale bars are 150, 30, 20, and 20 μm for a, b, c, and d, respectively.

Figure 5

Figure 6: (a) CLSM images of cells and biofilm stained with SYTO-11 (green) and propidium iodide (red) inside capillary. A reflection contrast mode image is overlaid, showing small CaCO3 precipitates in close proximity to bacterial cells, as labeled. (b) CLSM image from the perspective of outside the capillary. The overlaid reflection image indicates the surface topography of a large precipitate attached to the glass, and the fluorescent stains show the attached cells and cell-matrix surrounding the precipitates. According to Invitrogen, SYTO-9 can penetrate intact cell walls and stain the DNA, whereas propidium iodide cannot penetrate intact cell walls of live cells and thus indicates “dead” cellular material that may exist in the biofilm surrounding the precipitate. Scale bars are 10 and 15 μm for a and b, respectively.