Panpan Hea,
Junhui Guo*a,
Liwen Leib,
Jiafeng Jianga,
Qichang Lia,
Zhiyi Hub,
Baolian Subc,
Zhengyi Fu*b and
Hao Xie*a
aSchool of Chemistry, Chemical Engineering and Life Sciences, Wuhan University of Technology, Wuhan, 430070, China. E-mail: guojunhui@whut.edu.cn; h.xie@whut.edu.cn
bState Key Laboratory of Advanced Technology for Materials Synthesis and Processing, Wuhan, 430070, China. E-mail: zyfu@whut.edu.cn
cLaboratory of Inorganic Materials Chemistry, University of Namur, B-5000 Namur, Belgium
First published on 21st April 2021
Motility is significant in organisms. Studying the influence of motility on biological processes provides a new angle in understanding the essence of life. Biomineralization is a representative process for organisms in forming functional materials. In the present study, we investigated the biomineralization of iron oxides templated by Escherichia coli (E. coli) cells under oscillation. The formation of iron oxide minerals with acicular and banded morphology was observed. The surface charge of E. coli cells contributed to the biomineralization process. The surface components of E. coli cells including lipids, carbohydrates and proteins also have roles in regulating the formation and morphology of iron oxide minerals. As-prepared mineralized iron oxide nanomaterials showed activity in photocatalytic degradation of methylene blue as well as in electrocatalytic hydrogen evolution reaction. This study is helpful not only in understanding motility in biological processes, but also in developing techniques for fabricating functional nanomaterials.
Biomineralization is one of the most abundant and essential biological processes in nature for organisms in forming functional materials. More than 60 biominerals have been found including calcium carbonate, calcium oxalate, silica, titanium dioxide, alumina, and iron oxide systems. Biomineralization relies on organisms1–3 and occurs in two ways,4 that is, bio-induced mineralization and bio-controlled mineralization. Bio-induced mineralization (BIM) is a response to changes in mineral saturation in fluids caused by cellular metabolic activity. Bio-impact mineralization or organic matrix-mediated mineralization have import roles in BIM since cells and related organic debris act as templates in regulating the formation of bio-induced minerals with distinct morphologies and structures. Applications of BIM are mostly in ecological restoration and cement-based material restoration.5,6 Bio-controlled mineralization (BCM) usually occurs in specific structures of cells, with strictly controlled composition and morphology of biominerals.4 Typical examples of BCM are the formation of magnetosomes in magnetotactic bacteria as well as structural formation of bones and teeth.4–7 BCM has found wide applications in electrode materials, sewage treatments, ecological restoration, cultural relics restoration, nano-drug carriers and cancer treatments.8–13
Due to the importance of biomineralization in both basic theories and practical applications, biomimetic mineralization attracted attentions of scientists from a broad range of disciplines including biology, chemistry, and materials science. These researches are mainly focused on roles of cell components or compositions in templating or regulating biomimetic mineralization14 and fall into two categories of mineralization systems, that is, in vitro mineralization under functions of specific biomolecules or in vivo mineralization promoting by intact cells or organisms. Biomolecules precisely template or regulate mineralization with their molecular structures or surface groups, which is advantageous in deliberately producing minerals with specific structures, morphologies, or functions. For example, silk fibroin has been used for regulating the superstructure of hemispherical CaCO3 crystals that has potential applications in preparing inorganic materials with new morphologies and special textures.15 Formation of cuprous carbonate on immune complexes was promoted by urease and could be used for detecting colorimetric signals.16 Intact cells or organisms are more efficient in producing biominerals since essential supplies of ions and energy during mineralization are accomplished by the organism that is also a self-regulating system for mineralization. For example, formation of iron ore was observed in iron bacteria and adsorption and transfer of rare earth elements were observed in Saccharomyces cerevisiae cells.17,18 Bacterial cell surface interacts with environmental ions and has multiple roles in bacterial-mediated mineralization. Chemical groups such as hydroxyl, carboxyl, amine and halide on bacterial surface are involved in adsorption and deposition of heavy metal ions as well as morphogenesis of biominerals.19–23 It inspired researchers in using bacterial-mediated mineralization for synthesizing materials with applications in ecological restoration, sewage treatment, drug carrier, etc.24–26
Factors such as temperature, pH, ion strength, biological templates and regulators have been extensively explored in biomineralization. However, there is few reports on effects of motility on biomineralization. Since motility occurs to animals or planktonic microbes all the time, it calls for the need of exploring motility effects on biomineralization.
The present study aims to investigate effects of motility on biomineralization by studying Escherichia coli templated biomineralization of iron oxides under oscillation. E. coli is a model microbe that is broadly used in studying biochemical issues. Natural mineralization was not observed on E. coli surface although it tolerates and adsorbs heavy metal ions.27 In the present study, deposition and mineralization of iron ions was induced on E. coli cell surface and compared between static or oscillatory conditions. Formation of needle-like or band-like nanomaterials of ferric oxide and ferric oxide was observed and characterized on E. coli surface under oscillation. Roles of chemical compositions of E. coli cell surface were explored on morphogenesis of iron minerals during oscillatory mineralization. Both photocatalytic and electro-catalytic performances were evaluated of as-prepared mineralized iron oxide nanomaterials. The present study calls attention to biochemical changes especially biomineralization under motility conditions.
Electrocatalytic hydrogen evolution was based on ref. 29. A platinum wire was used as a counter electrode and a reversible hydrogen electrode was used as a reference electrode. The working electrode was a glassy-carbon Rotating Disk Electrode (RDE, diameter: 5 mm, area: 0.196 cm2). The Pt loading of all samples on glassy-carbon was 2.0 μg cm−2. Polarization curves were collected in 1 M KOH solutions at a rotation rate of 1600 rpm with a sweep rate of 5 mV s−1.
Morphology changes of E. coli cells during biomineralization were mainly in two aspects, that is, extreme long fibrous cell body and cell surface (Fig. 1). There was shrinkage of bacterial cells after one hour of biomineralization (Fig. 1). For cells with oscillation, it was observed deposits on cell surface as well as long fibrous cell bodies. After six hours of biomineralization, deposits were also found on surface of static cells. Flocculent protuberance was found on surface of cells from low speed oscillation at 110 rpm. Acicular minerals deposition was observed on surface of cells from high speed oscillation at 220 rpm. Lots of long fibrous cell bodies were observed in samples with oscillations. When extending biomineralization time up to 24 hours and 48 hours, there were flocculent or acicular minerals forming network on surface of cells from both static and oscillating conditions. However, there was less occurrence of long fibrous cell bodies.
Minerals depositing on bacterial surface were characterized by HR-TEM, XPS, and HAADF-STEM. Needle-like substance on E. coli surface was observed by HR-TEM (Fig. 2, Panel A). The root of the needle-like substance was on the cell surface, and grew into a slender needle (Fig. 2, Panel B). FFT algorithm analysis revealed that the crystal plane (004, 311, 111) corresponded to that of Fe3O4 (Fig. 2, Panel C). XRD spectrometry also verified there was crystal plane (311) in the minerals (Fig. S1, see ESI†). It implied that Fe3O4 was contained in minerals depositing on E. coli surface.
Fig. 2 TEM image (Panel A) and HR-TEM image (Panel B, the area indicated by the red box in Panel A). Panel C shows FFT pattern of Panel B. |
Elements including iron, oxygen, carbon and nitrogen were detected in minerals by using XPS (Fig. 3, Panel A1). Chemical states of iron ions were further analysed (Fig. 3, Panel A2). In comparing with the reference spectra and literature,32,33 it showed 727.05 eV and 712.96 eV corresponding to Fe3+ 2p1/2, Fe3+ 2p3/2, and 724.81 eV, 711.12 eV corresponding to Fe2+ 2p1/2, Fe2+ 2p3/2, respectively. The corresponding satellite peaks are typical spectra of the mixture of trivalent iron and divalent iron. These observations suggested that iron ions exist in two chemical states. Distributions of elements on cell bodies after biomineralization were visualized by using HAADF-STEM and EDX elemental mapping (Fig. 3, Panels B1–B8). Distributions of C, N, P were seen mainly within bacterial cell body due to that these elements are major organic compositions of bacterial cells. Distributions of O, S, Fe were detected on cell surface, which confirmed depositions of iron-containing minerals.
Since there could be formation of Fe3O4, magnetic properties were analysed by means of VSM (Fig. S2, see ESI†). The hysteresis loop was almost a straight line, and the magnetism did not reach saturation under the maximum magnetic field of 25 kOe under the experimental conditions, which indicated the materials were paramagnetic, superparamagnetic or antiferromagnetic. Both the coercivity and residual magnetization have the value of zero, indicating that the material was not ferromagnetic. In comparing with previous studies,34 it was suspected that a superparamagnetic or antiferromagnetic substance containing iron element might have been formed on the surface of bacterial cells.
Bacteria can be classified as either Gram negative or positive based on Gram stain and bacterial cell wall.35 The significant difference between the two groups is that a much larger peptidoglycan (cell wall) present in Gram positives than that in negatives which have more lipoglycans on the surface. The surface of Gram negative bacteria (with pI 4–5) are positively charged in comparing with that of Gram positive ones (with pI 2–3) in mineralization system (with pH 2.4). In the present study, iron biomineralization under oscillation was compared between E. coli (as the representative of Gram negative bacteria) and Bacillus subtilis (as the representative of Gram positive bacteria). Although at the beginning of mineralization (1 hour), there was no much difference of the morphology between the two bacteria (Fig. 4, Panels A1 and B1). After 6 hours of mineralization, there was dense layer of minerals with flocculent or acicular morphology covering on E. coli surface (Fig. 4, Panels A2–A4). While less minerals presented on B. subtilis surface (Fig. 4, Panels B2–B4; Fig. S3, see ESI†). Therefore, the charge of cell surface made significant contributions to iron oxide mineralization. Since element S was observed on E. coli surface during iron mineralization using ferric sulfate as the ferric source (Fig. 3, Panel B6), sulfate might have roles in iron biomineralization. When using ferric chloride as alternative ferric source for iron biomineralization, no mineralization occurred on E. coli cell surface (Fig. 4, Panels C1–C4). This might be due to that the size of sulfate anions is larger than that of chloride anions. It facilitates interactions between sulfate anions and E. coli cell surface and subsequent mineralization and deposition of iron minerals.
The E. coli cell surface was further explored to understand its influence on biomineralization. Major components on E. coli surface are proteins, carbohydrates, lipids.35 Cells were treated with trypsase or ethanol to eliminate the influences of proteins on iron biomineralization on cell surface. By treating cells with trypsase to degrade proteins on cell surface, most of the cell bodies were sunken (Fig. 5, Panels A1–A4). Minerals forming on cell surface were similar to that on untreated cells, where minerals grew and crosslinked gradually to form a network covering on bacterial surface.
By treating cells with 95% ethanol to dehydrate and denature proteins on cell surface, formation of minerals on cell surface occurred in 1 hour of biomineralization (Fig. 5, Panels B1–B4). Formation of a dense layer with flocculent minerals on cell surface was observed in 6 hours. After 48 hours of mineralization, spindle-like mineral particles were observed on cell surface. It is possible that the formation and size development of acicular or baggy iron oxide nanoparticles occurred in the first 24 hours of biomineralization under the regulation of proteins. Formation of the shape of spindle were after 48 hours of mineralization.
By using chloroform–SDS to dissolve lipids and proteins on cell surface and increase permeability of cell walls, deposition of minerals on cell surface were observed in 1 hour (Fig. 5, Panels C1–C4). The E. coli cell body was encapsulated by a layer of deposited minerals with hairy minerals growing on it. It indicated that treating with chloroform–SDS facilitated absorbance of ferric ions on bacterial surface and improved minerals growth. Although morphology of minerals on chloroform–SDS treated cell surface were similar to that of untreated cells, minerals layer were thicker on the chloroform–SDS treated bacteria after 24 and 48 hours treatment.
Lysozyme can destroy bacterial cell walls by breaking glycoside bonds. EDTA can bind to lipopolysaccharides on cell surface and destabilize cell wall. The combination of lysozyme and EDTA is efficient in removing bacterial cell wall and exposing bacterial cell membrane. After lysozyme–EDTA treatment (Fig. 5, Panels D1–D4), bacterial cells were seriously damaged and no longer able to keep the rod-shaped body. A dense layer of minerals formed on cell surface with a few hairy spherical minerals sporadically grew on the minerals layer. Minerals grew faster on the lysozyme–EDTA treated bacterial cells than untreated ones. If bacterial cells were merely treated by lysozyme, only sporadic small minerals presented on cell surface (Fig. S4, see ESI†).
Lipid and proteins are two major components of cell membrane. To explore the roles of lipid on mineralization under oscillation, reconstitute liposomes of soybean lecithin/cholesterol were subjected to mineralization (Fig. 5, Panels D1–D4, S5 and S6, see ESI†). The size of liposome spheres is between 500 nm and 1 mm. After mineralization of 1 hour, there were granular minerals depositing on surface of liposomes. When extending mineralization time, mineral layer was getting thicker with the deposited minerals changing from granular to inverted spiny strips. The liposomes also became burrs with many spines. The morphology of minerals on the liposome surface was similar to that on E. coli cells upon ethanol or chloroform treatments (Fig. 5, Panels B1–B4). It suggested that lipids may have critical roles on minerals growing on E. coli cell surface. However, lipopolysaccharides and proteins may also be involved in mineralization process. Iron minerals on liposome surface were confirmed by EDAX elemental analysis, which showed that the iron content was 4.08%. The morphology of minerals on cell surface with different treatments was significantly different after 1 hour or 6 hours of mineralization. However, the morphology of minerals on cell surface was similar after 24 and 48 hours of mineralization, despite of treating methods. This could be due to that electrostatic attraction of bacterial surface groups made major contributions to the adsorption of iron ions on bacterial surfaces. Binding of iron ions relied on exposure of surface groups inducing by different treating methods. Therefore, the structure of biomolecules on cell surface can greatly affected mineralization and lead to variability of morphology of minerals in the initial stage of mineralization. Once there was formation of mineral layer on cell surface, it could be template for further mineralization and lead to similar morphology of minerals in the later stage of mineralization.
The surface of the fibrous minerals was analysed by TEM and HR-TEM (Fig. 6). HR-TEM and FFT algorithm analysis (Fig. 6, Panels A1–A3) showed that these minerals are nano scaled ferric oxide needles that are similar to that deposited on the surface of single E. coli cells. These fibrous minerals were further examined with TEM and EDX mapping. It was showed that the mineral constituted by iron, carbon, nitrogen, phosphorus, sulfur and oxygen elements. Iron element mainly distributed on the surface with carbon element inside. Therefore, it is possible that aggregated E. coli cells formed the main body of the fibrous with iron mineralization on the surface. At the early stage of mineralization, iron oxide deposited on E. coli surface may facilitate the ordered aggregation of cells under oscillation and lead to the formation of fibrous minerals. Along with the biomineralization process, more iron minerals deposited on the cell surface and increased the fragility of fibrous minerals. It made it easy for the fibrous minerals to break under oscillation. Therefore, less fibrous minerals were observed after 24 and 48 hours of mineralization.
Fig. 6 TEM image (Panel A1) and HR-TEM image (Panel A2, the area indicated by the green box in Panel A1). Panel A3 shows FFT pattern of yellow zone of Panel A2. |
The hydrogen evolution reaction (HER) is promising in producing clean and renewable hydrogen resources. In the present study, the HER performance of iron minerals as an efficient, durable, and inexpensive hydrogen evolution electrode was investigated. Polarization curves were collected in 1 M KOH solutions at a rotation rate of 1600 rpm with a sweep rate of 5 mV s−1 at room temperature. Before subjecting to electrocatalytic measurement, iron biominerals were calcinated at 700 °C for 4 hours (Fig. S7, see ESI†). The iron oxide mineral electrode achieved the best activity with the overpotential of 235 mV at the current of 10 mA cm−2 (Fig. 7, Panel B). The catalytic stability of iron oxide minerals was also measured at 10 mA cm−2 in the same electrolyte, which showed that the stable current with a small deviation after one hour at overpotential of −20 mV was presented (Fig. 7, Panel B, inset).
In future, more investigation concerning catalytic performances of acquired biominerals will be carried out to provide detailed information and data including the UV-vis spectra, ROS generation, CV curves.
Footnote |
† Electronic supplementary information (ESI) available. See DOI: 10.1039/d1ra00847a |
This journal is © The Royal Society of Chemistry 2021 |