| Literature DB >> 34618240 |
Barbara Wojtasik1, Małgorzata Zbawicka2, Lucyna Grabarczyk3, Wojciech Juzwa4.
Abstract
The aim of this research was to test the potential of applying a flow cytometric procedure to evaluate the impact of concrete compounds' release to the freshwater microbiome. Cells from the collected samples were stained with a fluorogenic redox indicator dye that measures the redox potential of microbial cells. This novel approach was combined with the assessment of microorganisms' penetration into the internal structures of concrete using the Rose Bengal sodium salt staining. Rose Bengal staining revealed an intense fouling of the upper and side walls of the concrete cubes and also indicated the penetration of microorganisms inside the concrete as observed for the cubes' cross-sections. Flow cytometric cellular redox potential measurement revealed high percentages of active cells within the concrete's porous structures and in non-exposed water (32.7% and 30.2% of active cells) versus samples from exposed water and concrete's outer surfaces (6.8%, 6.1%, and 3.3% of active cells). The results demonstrated a detrimental impact of hydro-technical concrete on the vitality of microbial cells within the freshwater environment. Tested protocol by analyzing the physiology of microbial cells improved the functional description of complex communities to evaluate the fate of contaminants present in the concrete-based hydro-technical infrastructure.Entities:
Keywords: Bioadhesion; Cellular physiology; Fluorescent staining; Microbial corrosion
Mesh:
Substances:
Year: 2021 PMID: 34618240 PMCID: PMC8497448 DOI: 10.1007/s10661-021-09481-5
Source DB: PubMed Journal: Environ Monit Assess ISSN: 0167-6369 Impact factor: 2.513
The components used in concretes in the experiment
| Concrete signature | BP component quantity [kg/m3] |
|---|---|
| CEM I 42.5R | 320 |
| Fugacious siliceous ash | 80 |
| Natural rinsed sand 0–2 mm | 660 |
| Natural rinsed gravel 2–16 mm | 1140 |
| Superplastificator FM | 2.72 |
| Anti-washout admixture | 3.0 |
| Water | 175 |
Chemical composition of concrete components (component share, weight [%])
| SiO2 | Al2O3 | Fe2O3 | CaO | MgO | SO3 | K2O | Na2O | TiO2 | Loss of roast | |
|---|---|---|---|---|---|---|---|---|---|---|
| Cement | 19.6 | 5.1 | 3.1 | 63.0 | 1.0 | 2.9 | - | - | - | 2.6 |
| Fugacious ash | 46.9 | 26.6 | 7.2 | 3.1 | 2.1 | 0.9 | 1.2 | 1.0 | - | - |
| Natural aggregate | 89.9 | 3.8 | 1.8 | 0.6 | 0.35 | 0.02 | 1.4 | 0.5 | - | 1.4 |
| AWA additive | 1.73 | 0.17 | 3.83 | 0.07 | 0.5 | 0.57 | - | 50.28 |
Fig. 1Image of concrete BP cubes after incubation in a lake for 9 months (Rose Bengal–stained surface of external BP). Side wall 1A. Underside 1B. Microscopic images of BP concrete surfaces after incubation in the natural environment (lake) for 9 months, Bengal Rose staining and concrete drying: wall cross-section (magnification × 10) 1A, the upper surface of the wall (magnification × 7) 1B, and the upper surface of the wall (magnification × 20) 1C
Fig. 2Flow cytometric analysis of the metabolic activity of microbial cells from concrete’s cube exposed and non-exposed samples, designated as follows: sample 1—water from aquaculture with a concrete cube; sample 2—sample containing swabs collected on the side wall; sample 3—sample containing swabs collected on the underside wall; sample 4—sample containing swabs collected from porous structures on concrete cube walls; and sample 5—water from control aquaculture without the concrete cube. The active, mid-active, and non-active microbial sub-populations (P4, P5, and P6, respectively) were discriminated. The analysis demonstrated the differences in the percentages of microbial cells from each sub-population in relation to the concrete exposition and the sample origin. The sub-populations P4, P5, and P6 were defined on bivariate dot plots displaying fluorescence intensity signals from FITC (x-axis) vs. SSC (y-axis) detectors, corresponding to cellular redox potential vs. side scatter measurement (diagrams in A). The discrimination of each sub-population was based on the differences in cellular redox potential values (CRP). CRP values are the fluorescence signal intensities measured by the specific light detector and expressed as relative fluorescence units (RFU). Percentages of active, mid-active, and non-active cells are shown in diagram B