J.
Miot†
abc,
N.
Recham
ac,
D.
Larcher
*ac,
F.
Guyot
bd,
J.
Brest
b and
J.-M.
Tarascon
ac
aLaboratoire de Réactivité et Chimie des Solides UMR CNRS 7314, Université de Picardie Jules Verne, 33 rue Saint-Leu, 80039 Amiens Cedex, France. E-mail: dominique.larcher@u-picardie.fr
bInstitut de Minéralogie et de Physique des Milieux Condensés UMR CNRS 7590, Université Pierre et Marie Curie (UPMC), 4 Place Jussieu, 75252 Paris Cedex 05, France
cRéseau sur le Stockage Electrochimique de l'Energie (RS2E), FR CNRS 3459, France
dUniversité Paris Diderot, Sorbonne Paris Cité, Institut de Physique du Globe de Paris, UMR CNRS 7154, F-75013 Paris, France
First published on 7th November 2013
Sustainable batteries call for the development of new eco-efficient processes for preparation of electrode materials based on low cost and abundant chemical elements. Here we report a method based on bacterial iron biomineralization for the synthesis of α-Fe2O3 and its subsequent use as a conversion-based electrode material in Li batteries. This high-yield synthesis approach enlists (1) the room temperature formation of γ-FeOOH via the use of an anaerobic Fe(II)-oxidizing bacterium Acidovorax sp. strain BoFeN1 and (2) the transformation of these BoFeN1/γ-FeOOH assemblies into an alveolar bacteria-free α-Fe2O3 material by a short heat treatment under air. As the γ-FeOOH precursor particles are precipitated between the two membranes of the bacterial cell wall (40 nm–thick space), the final material consists of highly monodisperse nanometric (∼40 × 15 nm) and oriented hematite crystals, assembled to form a hollow shell having the same size and shape as the initial bacteria (bacteriomorph). This double level of control (nanometric particle size and particle organization at the micrometric scale) provided powders exhibiting (1) enhanced electrochemical reversibility when fully reacted with Li and (2) an impressive high rate capability when compared to non-textured primary α-Fe2O3 particles of similar size. This bacterially induced eco-efficient and scalable synthesis method opens wide new avenues to be explored at the crossroads of biomineralization and electrochemistry for energy storage.
Broader contextLiving organisms can directly provide concentrated energy sources (cellulose, starch, bio-fuels…) but they can also help us in designing new materials with added value for energy concentration, storage and transportation. Here, we use the ability of the bacterium Acidovorax sp. strain BoFeN1 to precipitate and confine γ-FeOOH in between the two membranes of its cell wall. After a short air-heating treatment, the final material consists of hematite (α-Fe2O3) nano-crystals (40 × 15 nm) assembled in a way to form a hollow and porous shell keeping the bacterial size and shape, and is thus thereafter named a bacteriomorph. Both the nanometric particle size and the micrometric textural organization are inherited from the bacterial origin of the precursor material, and lead to (1) an enhanced electrochemical reversibility of the material when fully reacted with Li (conversion reaction) and (2) an impressive high rate capability in comparison with non-textured α-Fe2O3 particles of similar size. Indeed, hematite bacteriomorph samples only lose 30% of their ability to react with Li when moving from 1 Li per 100 h to 10 Li per h rates. This biomineralization, an eco-efficient and easily scalable synthesis method, provides new expectations and opens wide new avenues to be explored at the crossroads of biomineralization and electrochemical energy storage. |
Whereas the use of highly divided grains revealed an unexpected mechanism when reacted with Li, the effect of nanometer-sized particles on the performances of conversion-based electrode compounds is still under debate.2,7 In the case of hematite, downsizing the reacting domains leads to a large apparent increase in the range of the initial solid-solution (x ∼ 1 in LixFe2O3) with very small volume expansion, hence enhancing reversibility when cycled over this domain, but full reaction with Li was still found to be poorly reversible whatever the particle size.8
On the other hand, structural reorganization and volume changes inherent to the conversion reaction (ΔV/V ∼ 100% for Fe2O3 + 6Li → 2Fe + 3Li2O) enhance electrical isolation of the particles and can trigger electrolyte decomposition resulting in the formation of an isolating/passivation layer, which overall strongly hampers capacity retention.2 Aside from thin films or derivatives,9 many alternative strategies have thus been proposed to overcome such limitations, mainly aimed at preserving a texture (particle connectivity) at the micrometer scale, including the use of selected binders7 and/or increased amounts of carbon,10 the deposition of particles onto conducting substrate foams,11 metallic nanopillars,12 foils, the deposition of nanoparticles (rods, horns) at the surface of carbon nanotubes13,14 and electrospining,15,16 the synthesis of oxide nanotubes17 or the preparation of oxide–graphene composites.18 As these approaches enable better conservation of the electronic percolation network, they generally improve cyclability, coulombic efficiencies and rate capabilities, but they generally require long and complex processing.
In the meantime, key challenges in the future of energy storage devices reside in designing innovative eco-compatible approaches lowering energetic and environmental impacts of synthesis routes.19,20 We thus herein explore biomineralization pathways in a combined perspective of improving electrochemical properties and using eco-efficient synthesis routes. Although bacteria-mediated reactions have received a deep attention these last ten years as energy providing tools in microbial fuel cells,21 biomineralization reactions have only been very scarcely explored for applications in the field of Li-ion batteries.22–25 To gain a better insight into the possibilities biomineralization might offer for material applications, the natural environment offers a broad source of inspiration. Indeed, a multitude of minerals exhibiting very specific and controlled morphologies, sizes and compositions are produced by living organisms.26 In particular, a wide variety of metal oxides can precipitate at the contact of organic molecules, due to their high affinity for negatively charged surfaces. This property furthered the use of genetically engineered viruses as templates for the nucleation of minerals such as Co3O4,22,25 V2O5,27 or Si.28 Alternatively to these non-autonomous, protein-rich entities (namely viruses) used as templates, bacteria have the ability to both (1) provide negatively charged surfaces that can potentially adsorb metal cations29 and at the same time (2) catalyze redox reactions that can eventually lead to the biomineralization of metal oxides or phosphates from starting solid or dissolved precursors.30,31 From an application point of view, it is also worth noting that large-scale production is much more easily conceivable with bacteria than with viruses and is mastered for many years/decades at the industrial scale.32 Despite these promising properties, bacteria have received a thinner attention than viruses in the field of Li-ion batteries yet. It is noteworthy that two recent studies have reported the nucleation of abiotically synthesized Co-oxides and Sn-oxides at bacterial surfaces for applications in Li-ion batteries taking advantage of the templating property of bacteria.23,24
Different species of bacteria biomineralize Fe-oxides or phosphates with miscellaneous reported morphologies,33e.g. twisted stalks,34 hollow tubes,35 and hollow shells.30 Here, we use Fe-oxyhydroxides produced by an iron-oxidizing bacteria named BoFeN1 for electrochemical applications in Li-ion batteries. This strain couples the reduction of nitrate to the oxidation of dissolved or solid Fe(II) under strictly anoxic conditions at neutral pH,36 leading to the precipitation of Fe(III)-phosphates30,31 or Fe(III)-oxyhydroxides36 depending on the precursors provided and on the composition of the medium. We explore the textural control of Fe-oxides produced through this biomineralization pathway over the electrochemistry of α-Fe2O3 in Li-ion batteries, while presently conducting a similar survey on Fe-phosphates.
For biomineralization experiments, a specific medium was prepared. It was composed of NaCl (11.4 mM), Na-acetate (5 mM), NaNO3 (10 mM) and FeCl2 (10 mM), supplemented with vitamins, trace elements and selenite solutions prepared after ref. 37. The pH was adjusted to 7.0 with NaOH solution before inoculation of the pre-cultured bacteria at 50% (v/v). Cultures prepared in 1 L-flasks, closed under N2 atmosphere with a butyl rubber stopper and crimped, were incubated at 30 °C in the dark. Precipitation of an iron-rich orange phase occurred after 24 h to 3 days. Precipitates were collected after 3 days by centrifugation (5000g, 20 min), twice rinsed with mQ water and dried under vacuum.
These bacteria–inorganic composites were subsequently heated at 700 °C in air for 1 h in an alumina crucible to produce bacteria-free α-Fe2O3 samples (hereafter called α-Fe2O3 bacteriomorph, or α-Fe2O3/BoFeN1). For the sake of comparison, abiotic α-Fe2O3 samples were also prepared by heating commercial γ-FeOOH (Sigma Aldrich) at 700 °C for 1 h in air.
Thermogravimetric analyses coupled with a mass spectrometer were performed between 30 °C and 700 °C under air (dry N2/O2, 80/20%) using a Simultaneous Thermal Analyzer STA 449C Jupiter from Netzsch, and a heating/cooling rate of 10 K min−1. The isothermal drift and sensitivity values are 0.6 μg h−1 and 0.1 μg, respectively. Alumina crucibles were loaded with 10–20 mg of the sample powder. The mass spectrometer is a quadrupole QMS 403 Aëolos® with a stainless steel capillary and a SEV detector (Channeltron). The counting time for the mass spectrometer is 20 ms per m/z value (scanning window: m/z = 1–100 amu) with a resting time of 1 s. DSC experiments were carried out on a Netzsch DSC 204F1 heat flux differential calorimeter at a heating rate of 10 K min−1 under a constant air flow at 200 mL min−1. The crucibles were loaded with 10–15 mg of sample powder. Samples were weighed in aluminum sample pans covered with a pierced lid. An empty aluminum pan with a pierced lid was used as a reference.
The morphology of the samples was observed with a field emission gun scanning electron microscope (FEI Quanta 200F), operating at 20 kV. In order to optimize electron conduction, samples were covered with a thin layer of Pt by metal pulverization. For Transmission Electron Microscopy (TEM) and Selected Area Diffraction (SAED), two types of samples were prepared. (1) Whole bacteria or bacteriomorphs were deposited on a carbon-coated 200-mesh copper grid. TEM observations were performed with a FEG-Tecnai S-Twin F20 operating at 200 kV. (2) Ultrathin sections were prepared by ultramicrotomy. Cells were fixed for 2 h in 1% glutaraldehyde at 4 °C, centrifuged (5000g, 10 min), rinsed three times in 20 mM HEPES (4-(2-HydroxyEthyl)-1-Piperazine Ethane Sulfonic acid) buffer (pH 7.5) for 18 h at 4 °C. They were then post-fixed for 90 min in 1% OsO4 in the same buffer, rinsed three times in distilled water, dehydrated in graded ethanol and propylene oxide-1,2 and progressively embedded in epoxy resin (Epoxy, Fluka Chemica). Ultrathin sections (40 nm–thick) were cut with a LEICA ultramicrotome (EM-UC6). These thin sections were observed either with a JEOL 2100 FEG-TEM operating at 200 kV or with a JEOL 2100 TEM equipped with a LaB6 source, operating at 200 kV. Alternatively, thin sections were observed with a Zeiss Ultra 55 SEM equipped with a field emission gun in back-scattered electron mode at an operating voltage of 10 kV.
Specific surface areas and pore size/volume distribution were computed from the results of N2 physisorption at 77 K (Micromeritics ASAP 2020, Gemini 2375) using the BET (Brunauer–Emmett–Teller)38 and BJH (Barrett–Joyner–Halenda)39 formalisms, respectively. Prior to porosity analysis, samples were treated at 4 Pa and 100 °C for 4 h.
The cells were assembled in an argon-filled glove box. 6–8 mg of the binder-free AM–SP mixture was separated from the negative electrode (lithium foil) by 2 glass fiber disks, the whole setup being soaked in a LiPF6 (1 M) solution of ethylene carbonate (EC)–dimethylcarbonate (DMC) mixture (1/1 w/w) (LP30, Merck). Two stainless steel current collectors were used at the positive and negative sides. Galvanostatic cycling tests were conducted at room temperature in the 3.2–0.05 V range at discharge/charge rates typically ranging from 1 Li per formula unit in 10 h (noted C/10) to 1 Li per formula unit in 1 h (noted C), with a MacPile (Claix, France) controller. For power rate determination (VMP, Biologic, Claix, France), cells were first slowly discharged (1 Li per 20 h) down to 0 volt and then charged up to 3.0 volts while sequentially decreasing the applied current (10 C to C/100). Specific capacities are all reported per gram of Fe2O3–carbon mixture. All electrochemical tests were at least repeated twice to assess repeatability.
![]() | ||
Fig. 1 Schematic illustration of the organization of BoFeN1 cell wall (A) and of the synthesis route we used for the production of α-Fe2O3 hollow bacteriomorphs (B). |
A recap of the biomineralization process scheme we used is depicted in Fig. 1B. Under the culture conditions applied in the present study, iron biomineralization promoted by BoFeN1 metabolic activity was completed after 3 days, leading to the almost complete consumption of dissolved Fe ([Fe2+] < 2 mmol L−1i.e. yield > 80%) and to the formation of an orange precipitate, consisting of lepidocrocite (γ-FeOOH), as indicated by XRD analysis (Fig. 2). This material was subsequently annealed at 700 °C for 1 h under air to transform into α-Fe2O3 (Fig. 2).
Thermal analyses of BoFeN1/γ-FeOOH assemblies up to 700 °C show an overall weight loss of 24% (Fig. 3). This indicates an initial FeOOH weight content of about 84%, assuming that organic matter is fully transformed into gaseous products (H2O, COx, NOx, SOx…) at this temperature. The initial sloppy weight loss, from RT to ca. 200 °C, is due to the slow departure of adsorbed and physiologic water. Then the sharp loss centered at about 250 °C, accounting for most of the overall loss, can be ascribed to the combination of two phenomena: (1) the combustion of the bacterial organic matter mainly leading to the release of CO2/H2O (see MS data in Fig. 2 and 3) and (2) the dehydration of γ-FeOOH into iron oxide,44 both being irreversible exothermic (see DSC data in Fig. 3) phenomena. The formation of an intermediate magnetic iron oxide (γ-Fe2O3 or Fe3O4) is supported by preliminary observations showing that a BoFeN1/FeOOH assembly air-treated at 400 °C is attracted by a magnetic rod. This intermediate phase most probably consists of nanometric domains given that its XRD pattern looks amorphous (data not shown). The exact nature and properties of this phase will be the topic of a forthcoming study, but preliminary electrochemical tests indicate the signature of magnetite. The subsequent irreversible transformation of maghemite (γ-Fe2O3)/magnetite (Fe3O4) to hematite is known to occur at temperatures below 600 °C, which is consistent with the XRD analysis of the 700 °C-heated sample (Fig. 2), supported by an exothermic DSC signal at 500–550 °C (Fig. 3). As we suspect this hematite sample could result from air-oxidation of FeII/FeIII magnetite, we checked the iron valence state in α-Fe2O3 bacteriomorphs by Mössbauer effect analysis (data not shown). Only ferric species could be detected, ruling out the presence of a large amount of residual ferrous ions in our samples. Consistently, the crystallographic cell parameters of hematite in α-Fe2O3 bacteriomorphs (a = 5.038(3) Å and c = 13.760(1) Å) perfectly match the values reported for a synthetic and stoichiometric hematite reference (a = 5.0356(1) Å and c = 13.7489(7) Å – JCPDS 33-0664). This is an additional clue for a stoichiometric hematite here produced from BoFeN1/γ-FeOOH assemblies.
![]() | ||
Fig. 6 (A) Nitrogen (77 K) adsorption/desorption isotherm curve for α-Fe2O3 bacteriomorphs and (B) porous volume distribution as a function of pore size computed with the BJH method. |
Interestingly, as exemplified by HRTEM analyses (Fig. 7), the α-Fe2O3 grains are strongly anisotropic with a mean size of 48 ± 18 nm (n = 50) in length (L) and 15 ± 4 nm (n = 50) in width (W), i.e. a mean aspect ratio (L/W) of 3.4 ± 1.3 (n = 50). Moreover, the particle width is very constrained (variance = 17) compared to the more largely distributed particle length (variance = 354), suggesting a strong control of the periplasmic space over crystalline growth. Fig. 5F displays three adjacent particles grown in the periplasmic space. Fourier transforms obtained on any of these three adjacent particles exhibit the same pattern, indicating a similar crystallographic orientation. Hence, the dispersed particle length could be related to the fact that adjacent particles having a mean length of around ∼30–40 nm coalesce into ∼60 or ∼90 nm long assemblages exhibiting the same crystallographic orientation (Fig. 5F). Eventually, the particle width deduced from these (HR)TEM observations is consistent with the mean crystallite size estimated to be 20 nm from the FWHM (Full Width at Half Maximum) of the XRD peaks using the Scherrer equation.45
Thus, this biomineralization route provides α-Fe2O3 bacteriomorphs, with a controlled size/texture: 1 to 2 μm long, 200 nm in diameter and ∼40 nm–thick shells composed of 15 to 20 nm wide particles of α-Fe2O3, combining nm-scale (within the bacteriomorph wall) and micrometer-scale (the empty shell) porosities. The present synthesis process notably differs from previously reported bacteria-mediated synthesis routes of metal oxides in that the cell wall of these Gram-negative bacteria intrinsically controls the texture of the α-Fe2O3 assembly. This contrasts with the Gram-positive bacteria Bacillus subtilis, previously used as a template for the synthesis of Co3O423 or SnO2 nanorods,24 which exhibits neither outer membrane nor periplasmic space to confine the mineralization, thus the need in these studies to control the mineral layer thickness through chemical conditions. Moreover, in the present study, BoFeN1 controls and drives the precipitation of iron towards γ-FeOOH, not only serving as a template but also controlling the mineralogy of the end-product of biomineralization through its metabolism. In fine, this bacterium appears as a unique tool to both promote and control Fe-oxide mineralization, size and texture.
Such a specific texture delineating the bacterial shape has been reported for a variety of bacteria and minerals. Given that bacterial cell walls expose negatively charged groups at their surface, interactions with metals leading to their adsorption at the cell surface have been described among Gram-positive46,47 and Gram-negative29 bacteria, even with non-metabolizing cells.48,49 Besides, metals can accumulate within the periplasm50 and a variety of biominerals surrounding or filling the cell wall of Gram-negative bacteria have been reported: e.g. phosphates,30,31,43,51,52 oxides53,54 or sulfides.55 Such minerals might thus produce bacteriomorphs with some similarities to those reported here.
To prepare an electro-active material for Li-ion batteries and enhance electronic conductivity, α-Fe2O3 bacteriomorphs were mixed with SP-carbon by magnetic stirring and mild ultrasonication in cyclohexane. This method provided a homogeneous mixture while preserving bacterial texture (Fig. 4D). In contrast, preparation of SP-carbon–α-Fe2O3 bacteriomorph mixtures by grinding in a mortar completely dislocated the initial texture leading to isolated nanometric particles in a carbon matrix (referred to as “untextured α-Fe2O3” in the following, Fig. 4E). An abiotic α-Fe2O3 electrode was also prepared by hand grinding SP carbon with a α-Fe2O3 sample made of micrometric aggregates of 20 nm particles (Fig. 4F).
The electrochemical performances of these electrodes are compared in Fig. 8. They all exhibit a large polarization together with large first cycle irreversibility. This polarization was found to be roughly the same for all our samples (0.6 to 0.7 volts), as measured at half (dis)charge on the second cycle. This is not to be unexpected because (i) the hysteresis associated with conversion reactions is now well documented to be intrinsically controlled by the thermodynamics of the reaction itself,56 and thus unaffected by the initial particle organization, and (ii) the large amount of conductive carbon added (30 wt%) mitigates the difference in kinetic limitations between our different samples, hence very similar polarization under current presently observed. The first cycle irreversibility is the greatest for the untextured bacteria electrode material, and initial discharge capacities ranging from 1089 to 1370 mA h g−1, which exceeds the theoretical capacity of 1000 mA h g−1. This extra-capacity, as previously observed, might simply be ascribed to the electrochemical decomposition of the electrolyte during the discharge. Whatever the samples, the first discharge profiles show four different regions which enlist (i) a hint near 1.7 V, (ii) a signature from 1.1 to 0.9 V corresponding to the reaction of Li with SP carbon, (iii) a long plateau located near 0.9 V reminiscent of the aforementioned conversion reaction and finally (iv) a smooth and continuous decay of the voltage from 1 to 0 V whose origin is associated with either faradic or capacitive phenomena.
It is quite obvious that such an aerated textural organization will come with a low volumetric capacity. Assuming a monodisperse population of hematite bacteriomorphs having 1.5 μm in length, 0.2 μm in diameter, and a 40 nm–thick oxide wall, we could compute their apparent density to be around 0.9 g cm−3. If one considers a gravimetric capacity of around 1000 mA h g−1, the corresponding volumetric capacity should be around 900 mA h cm−3, i.e. very close to that of graphite.
The high voltage activity (1.7 V) can be attributed to lithium insertion within the α-Fe2O3 structure.8 It reaches 0.8 Li per formula unit in untextured α-Fe2O3 (isolated nanometric particles, Fig. 8C), which is close to the maximal reported (1 Li per formula unit).8 This number decreases to 0.4 Li per formula unit in α-Fe2O3 bacteriomorphs (micrometric aggregates of nanometric particles, Fig. 8E) and eventually to almost 0 Li in abiotic α-Fe2O3 (pluri-micrometric aggregates of nanometric particles, Fig. 8A). Thus, consistently with previous reports,8 larger insertion ranges (i.e. higher x values in LixFe2O3) are obtained with isolated nanometric particles than with micrometric or massively agglomerated powders.
The most striking differences between the various samples reside in their capacity retention (Fig. 8B, D and F). When cycled at C/10 rate (1 Li in 10 h), only 18% and 8% of the initial capacity are retained after 10 cycles for the abiotic α-Fe2O3 (Fig. 8B) and the untextured bacterial α-Fe2O3 (Fig. 8D), respectively. In contrast, under the same cycling conditions, α-Fe2O3 bacteriomorphs exhibit a largely improved capacity retention (Fig. 8F), with 91% of the initial capacity still maintained after 10 cycles.
The capacity retention of α-Fe2O3 bacteriomorphs was further tested at a higher rate (1 Li per hour, Fig. 8G) and for lower SP contents (10 wt%, Fig. 8H). Both experiments still led to better cycling efficiencies than abiotic (Fig. 8B) and untextured samples (Fig. 8D), even though capacity decayed faster under these modified conditions. So, we conducted additional tests in order to (1) evaluate the rate capability of these α-Fe2O3 bacteriomorph samples and (2) find the possible origin of this decrease in capacity.
Power rate experiments (performed with 10 wt% SP) (Fig. 9) evidence the outstanding behavior of α-Fe2O3 bacteriomorphs (more than 70% of the capacity maintained from C/100 to 10 C), when compared to the untextured sample (less than 20% of the capacity remaining from C/100 to 2 C). This gives evidence of the high rate capability of these α-Fe2O3 bacteriomorphs being supported by their texture. Accordingly, the evolution of this texture was followed by SEM as a function of capacity loss (Fig. 10). After one cycle, the bacteriomorph texture was perfectly preserved (Fig. 10A and B). Then, as the capacity fell towards 40% of the initial capacity, some bacteriomorphs were still recognizable (Fig. 10C), but a large proportion of the electrode was transformed into isolated and divided particles (Fig. 10D). Finally, an almost complete loss of the initial capacity (89%) was associated with an almost complete loss of texture of the bacteriomorphs, which turned into isolated nanometer-scale particles embedded into a matrix most probably consisting of electrolyte decomposition products (Fig. 10E and F). Only very few bacteriomorphs could be barely observed in this sample. These results definitively demonstrate the major impact of the texture on the capacity retention of these electrodes.
![]() | ||
Fig. 9 Power rate (1st charge capacity as a function of the C rate) for Li/α-Fe2O3 bacteriomorphs and Li/untextured α-Fe2O3. 20 °C, 10 wt% SP. |
Overall, these results fall within the best obtained to date with α-Fe2O3. Remarkably, the active material used in the present study was neither carbon-coated nor mixed with a binder. Enhanced capacity retention and high rate capability can thus be exclusively attributed to the specific texture of α-Fe2O3 bacteriomorphs and this might be explained as follows. Nanoparticles are known to shorten the Li diffusion paths but their assembly at the micrometer-scale, as described in α-Fe2O3 bacteriomorphs, is essential as it enables to self-preserve the electrode texture upon cycling as exemplified in Fig. 10. In contrast to a dense agglomerate of nanoparticles, the present alveolar texture obviously contains much less particles, and thus can more easily accommodate the volume changes inherent to the full Li/hematite reaction, preventing the material from dislocation and electrochemically impairing particle isolation. Aside from this mechanical connectivity, the hollow shape of the bacteriomorphs is also a serious asset for rate performances. Indeed, the micrometer-scale porosity (Fig. 4C and 5E) of this alveolar material combined with its nanometer-scale porosity (Fig. 6) enables and facilitates the electrolyte penetration, hence minimizing the Li+ ion traveling distance between the active material and the electrolyte, but meanwhile also preserving the particles interconnectivity and the conducting network. This differs completely from the micrometric aggregates of nanometric particles in the abiotic sample or the dislocated bacteriomorphs that lack micrometric porosity and stable particle connectivity network and exhibit both poor rate performances and capacity retention.
The wide diversity of bacterial metabolisms, biomineralization pathways and bio-controlled textures existing in nature are thus to be explored for applications in Li-ion batteries and other forthcoming electrochemical storage technologies. Biomineralization pathways have been classified into three different (overlapping) categories,57 which might be assigned to different levels of control: (1) controlled biomineralization, i.e. genetically controlled mineralization providing minerals with a perfectly constrained shape, composition and location, e.g. magnetites produced by magnetotactic bacteria;58 (2) induced biomineralization, i.e. resulting from medium chemistry modification by bacteria and (3) influenced biomineralization, i.e. passive mineralization of and on organic matter acting as a template (for electrochemical applications, see ref. 23 and 24). The present study relies on the last two levels. Within each of these three classes, a wide diversity of minerals with various compositions and morphologies might be formed by a variety of bacteria, under diverse chemical conditions. So, beyond iron oxides, the bacterial synthesis of other metal oxides, phosphates, sulfides, etc. with specific textures remains to be explored for Li-ion battery applications.
Footnote |
† Now at Laboratoire de Minéralogie et Cosmochimie du Muséum, Muséum National d'Histoire Naturelle, 61 rue Buffon, 75005 Paris, France. |
This journal is © The Royal Society of Chemistry 2014 |