Interactions between microorganisms and clay minerals: New insights and broader applications

Li, Gui Li; Zhou, Chun Hui; Fiore, Saverio; Yu, Wei

doi:10.1016/j.clay.2019.04.025

Cited by 125 publications

(39 citation statements)

References 239 publications

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“…SO4 2− and NH4 + in pore water at DC-9 contributed to DOC production (R 2 = 0.42, p ≤ 0.05), due to corresponding microbial activities that resulted in a decrease for nutritive elements and an increase for DOC. Slightly different from the results in pore water at DC-2, the positive correlations between total metal level (Zn, Fe, Ti, V, Cr and Cu), especially Fe in pore-water at DC-9 and hydrochemical parameters (pH values and ratios of Trace metals were closely correlated with the clay mineral phase, and were influenced critically by microbes and referred to P, S, C and N cycling [38,50]. SO 4 2− and NH 4 + in pore water at DC-9…”

Section: Pore Water At Dc-2 and Dc-9contrasting

confidence: 74%

“…It was found that Sc, As and Sr were predominantly regulated by carbonatite and the hydrated oxide lattice structure (Sc, As and Sr anticorrelated to ratio Ca/Mg, R 2 = 0.74, p ≤ 0.01; Figure 4), demonstrating that Sc, As and Sr were reversely complexed with or wrapped in solid inclusions when Ca 2+ or Mg 2+ leached out with disruption, or perhaps cations exchange happened [48,49]. Trace metals were closely correlated with the clay mineral phase, and were influenced critically by microbes and referred to P, S, C and N cycling [38,50]. SO4 2− and NH4 + in pore water at DC-9 contributed to DOC production (R 2 = 0.42, p ≤ 0.05), due to corresponding microbial activities that resulted in a decrease for nutritive elements and an increase for DOC.…”

Section: Pore Water At Dc-2 and Dc-9mentioning

confidence: 94%

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Spatial Variations of Trace Metals and Their Complexation Behavior with DOM in the Water of Dianchi Lake, China

Xiao

Mostofa

et al. 2019

IJERPH

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The dynamics of trace metals and the complexation behavior related to organic matter in the interface between water and sediment would influence water quality and evolution in the lake system. This study characterized the distribution of trace metals and the optical properties of dissolved organic matter (DOM) on the surface, and the underlying and pore water of Dianchi Lake (DC) to understand the origin of metals and complexation mechanisms to DOM. Some species of trace metals were detected and Al, Ti, Fe, Zn, Sr and Ba were found to be the main types of metals in the aquatic environment of DC. Ti, Fe, Sr and Ba predominated in water above the depositional layer. Al, Ti, Fe and Sr were the most abundant metallic types in pore water. Mn and Zn were the main type found at the southern lake site, reflecting the contribution of pollution from an inflowing river. The correlations between DOM and metals suggested that both originated from the major source as particulate organic matter (POM), associated with weathering of Ca-, Mg-carbonate detritus and Fe- or Mn-bearing minerals. High dynamics of DOM and hydrochemical conditions would change most metal contents and speciation in different water compartments. Proportions of trace metals in dissolved organic carbon (DOC) in natural waters were correlated with both DOM molecular weight and structure, different metals were regulated by different organic properties, and the same metal also had specific binding characteristic with DOM in various water compartments. This study highlighted the interrelation of DOM and metals, as well as the pivotal role that organic matter and nutrients played during input, migrations and transformations of metals, thereby reflecting water quality evolution in the lake systems.

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Section: Pore Water At Dc-2 and Dc-9contrasting

confidence: 74%

Section: Pore Water At Dc-2 and Dc-9mentioning

confidence: 94%

Spatial Variations of Trace Metals and Their Complexation Behavior with DOM in the Water of Dianchi Lake, China

Xiao

Mostofa

et al. 2019

IJERPH

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“…For example, bacteria may increase the mobility to escape physical damage from insoluble minerals by flagellar movement, which also involves the signal transduction (Mohanty et al, 2014;Al-Shabib et al, 2016;Ma et al, 2017). Besides, mineral particles can also induce the production of exopolysaccharide and pilus, and interferes the communication between groups Cohen et al, 2019;Li et al, 2019). The impact of soil minerals on these bacterial physiological response and their relations with QS deserve further investigations.…”

Section: Discussionmentioning

confidence: 99%

Soil phyllosilicate and iron oxide inhibit the quorum sensing of Chromobacterium violaceum

Yang

Mukherjee

et al. 2020

Soil Ecol. Lett.

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Microorganisms respond to various adverse environmental conditions and regulate different physiological functions by secreting and sensing signal molecules through quorum sensing (QS) systems. Phyllosilicates and iron oxides present in soils and sediments may have substantial impact on bacterial activity and QS due to their unique reactivity and close association with microorganisms. This research explored the effect of goethite, montmorillonite and kaolinite (0.05-2 g L-1) on the growth and QS of a bacterial model, Chromobacterium violaceum. The results showed that kaolinite and goethite caused cellular damage at low mineral concentrations. The capacity for violacein production and biofilm formation of C. violaceum were inhibited by the minerals in the order of kaolinite > goethite > montmorillonite. The possible underlying mechanisms for QS inhibition by different minerals were investigated. Specifically, kaolinite repressed QS function through downregulation the expression of signal molecules synthesis gene cviI. Goethite and montmorillonite interfered with QS by adsorption of extracellular signal molecules. This work provides a better understanding of the interactions between bacteria and minerals and proposed that the inhibition of QS system is an ignored mechanism for bacterial toxicity by phyllosilicates and iron oxides.

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“…This phenomenon might be explained as follows: Kaolin particles had higher edge charge and van der Waals force interaction than bentonite particles [45], and therefore the electrostatic interaction between the negative charged XG and the positive charged kaolin particles formed more wellbonded XG-clay matrix. On the other hand, the highly expendable nature of bentonite allowed the water molecules to enter the interlayer region [73,74]. Due to the hydrophilic property of XG, this water absorption behaviour was more remarkable for XG-treated soils than untreated soils.…”

Section: Strengthening Efficiency For Different Sand-clay Mixturesmentioning

confidence: 99%

The Optimisation Analysis of Sand-Clay Mixtures Stabilised with Xanthan Gum Biopolymers

Hao

Chen

et al. 2021

Sustainability

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Sand–clay mixtures can be encountered in both natural soils (e.g., residual soils, clay deposits and clinosols) and artificial fills. The method of utilising biopolymers in ground improvement for sand–clay mixtures has emerged recently. However, a full understanding of the strengthening effect of biopolymer-treated sand–clay mixtures has not yet been achieved due to a limited number of relevant studies. In this study, xanthan gum (XG), as one of the eco-friendly biopolymers, was used to treat reconstituted sand–clay mixtures that had various compositions in related to clay (or sand) content and clay type (kaolin and bentonite). A series of laboratory unconfined compression strength (UCS) tests were conducted to probe the performances of XG-treated sand–clay mixtures from two aspects, i.e., optimum treatment conditions (e.g., XG content and initial moisture content) to achieve the maximum strengthening effect and strengthening efficiency for the sand–clay mixtures with different compositions. The experimental results indicated that the optimum initial moisture content decreased as the sand content increased. The optimum XG content, which also decreased with the increasing sand content, remained approximately 3.75% for all sand–kaolin mixtures and 5.75% for all sand–bentonite mixtures if calculated based on clay fraction. While untreated sand–kaolin mixtures and sand–bentonite mixtures had comparable UCS values, XG-treated sand–kaolin mixtures seemed to have better improved mechanical strength due to higher ionic (or hydrogen) bonds with XG and low-swelling properties compared with bentonite. The deformation modulus of XG-treated sand–clay mixtures were positively related with UCS. The variation in UCS and stiffness for each treatment condition increased as the sand content was elevated for both sand-kaolin and sand-bentonite mixtures. An increment in the proportion of the heterogeneous composite formed by irregular sand particles conglomerated with the XG–clay matrix in total soil might be responsible for this phenomenon.

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Interactions between microorganisms and clay minerals: New insights and broader applications

Cited by 125 publications

References 239 publications

Spatial Variations of Trace Metals and Their Complexation Behavior with DOM in the Water of Dianchi Lake, China

Spatial Variations of Trace Metals and Their Complexation Behavior with DOM in the Water of Dianchi Lake, China

Soil phyllosilicate and iron oxide inhibit the quorum sensing of Chromobacterium violaceum

The Optimisation Analysis of Sand-Clay Mixtures Stabilised with Xanthan Gum Biopolymers

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