Publications by authors named "S D Ciesielski"

Article Synopsis
  • Exponential energy consumption and wastewater increases can cause serious environmental issues, prompting interest in bio-electrochemical devices like microbial fuel cells (MFCs) that use bacteria to convert organic matter into electricity.
  • This research focused on floating treatment wetlands (FTW-MFC) using specific plants, finding that while high energy outputs were achieved, pollutant removal was inadequate due to operational limitations affecting plant health.
  • The study highlighted that both plant growth and microbial diversity, including Pseudomonas and Clostridium, play a significant role in improving energy production, but further investigation is needed to understand the full impact of plants on treatment performance.
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Floating treatment wetlands (FTW) are receiving growing interest as a phyto-technology. However, there are significant research gaps regarding the actual role of plant species and plant-microbiome interactions. In this study, the nutrient uptake of Equisetum hyemale was examined in FTW microcosms under the influence of abiotic stressors: As (3 mg/L) and Pb (3 mg/L) as well as Cl (300 and 800 mg/L) in reference to a control during a short screening experiment.

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The investigation of partial denitrification/anammox (PD/anammox) processes was conducted under autotrophic (N-S cycle) and mixotrophic (N-S-C cycle) conditions over 180 days. Key findings revealed the remarkable capability of SO-dependent systems to produce NO effectively, supporting anaerobic NH oxidation. Additionally, SO served as an additional electron acceptor in sulfate reduction ammonium oxidation (SRAO).

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Taxonomic classification using metabarcoding is a commonly used method in microbiological studies of environmental samples and during monitoring of biotechnological processes. However, it is difficult to compare results from different laboratories, due to the variety of bioinformatics tools that have been developed and used for data analysis. This problem is compounded by different choices regarding which variable region of the gene and which database is used for taxonomic identification.

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