Natural habitats are often characterized by the coexistence of Zn and Cr. This study assessed the potential of two Gram-positive, Cr(VI)-reducing, aerobic bacterial strains belonging to Arthrobacter genera, which were isolated from basalt samples taken from the most polluted region of the Republic of Georgia, to remediate Cr(VI) in environments in the presence of Zn(II). Our batch experiments revealed that the addition of Zn(II) to the tested bacterial cells significantly enhanced the accumulation of Cr. According to electron spin resonance (ESR) measurements, the presence of Zn(II) ions did not change the nature of Cr(V) and Cr(III) complexes generated during the microbial reduction of Cr(VI). The efficiency of Cr(VI) reduction also remained unchanged after the addition of 50 mg/l of Zn(II) to the bacterial cells. However, at high concentrations of Zn(II) (higher than 200 mg/l), the transformation of Cr(VI) to Cr(V) and Cr(III) complexes decreases significantly. In addition, it was shown that the accumulation pattern of Zn in the tested bacterial species in the presence of 100 mg/l of Cr(VI) fits the Langmuir-Freundlich model well. The two tested bacterial strains exhibited different characteristics of Zn accumulation.
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http://dx.doi.org/10.1007/s10295-011-0967-y | DOI Listing |
Plant Foods Hum Nutr
December 2024
Facultad de Ingeniería Química, Universidad Autónoma de Yucatán, Periférico Norte Km. 33.5, Tablaje Catastral 13615, Col. Chuburná de Hidalgo Inn, Mérida, 97203, Yucatán, México.
The increasing concern over microbial resistance to conventional antimicrobial agents used in food preservation has led to growing interest in plant-derived antimicrobial peptides (AMPs) as alternative solutions. In this study, the antimicrobial mechanisms of chia seed-derived peptides YACLKVK, KLKKNL, KLLKKYL, and KKLLKI were investigated against Staphylococcus aureus (SA) and Escherichia coli (EC). Fluorometric assays and scanning electron microscopy (SEM) demonstrated that the peptides disrupt bacterial membranes, with propidium iodide (PI) uptake reaching 72.
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December 2024
Internal Medicine Department - Nephrology, Botucatu School of Medicine, University São Paulo State-UNESP, District of Rubiao Junior, Botucatu, Sao Paulo, Brazil.
The pharmacokinetics and pharmacodynamics (PK/PD) of vancomycin change during HD, increasing the risk of subtherapeutic concentrations. The aim of this study was to evaluate during and after the conventional and prolonged hemodialysis sessions to identify the possible risk of the patient remaining without adequate antimicrobial coverage during therapy. Randomized, non-blind clinical trial, including critically ill adults with septic AKI on conventional (4 h) and prolonged HD (6 and 10 h) and using vancomycin for at least 72 h.
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December 2024
Department of Pharmacy, University of Salerno, Via Giovanni Paolo II, 132, Fisciano, 84084, Salerno, Italy.
This research aims at the valorization of fennel by-products from the Campania region (Southern Italy). A phytochemical characterization of the hydroalcoholic extracts (HEs) and of the essential oils (EOs) from edible and non-edible parts (waste) of Foeniculum vulgare Mill. was carried out using HRESIMS and GC-MS.
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December 2024
Department of Chemistry and Food Toxicology, Institute of Food Technology and Nutrition, University of Rzeszow, Ćwiklińskiej 1a St, Rzeszow, 35-601, Poland.
The aim of the present study was to compare the antioxidant, antibacterial and antiviral activities of Podkarpackie coniferous honeydew honey and Manuka honey. The quality of tested honey samples (honeydew-12 and Manuka-4) regarding honey standard was evaluated as well as additional indicators (methylglyoxal, total phenolics and HPTLC phenolic profile, antioxidant potential, glucose oxidase activity, and hydrogen peroxide) were compared. Antibacterial potential was analyzed against Gram-positive (S.
View Article and Find Full Text PDFReduced bacteria concentrations in wastewater is a key indicator of the efficacy of water resource recovery facilities (WRRFs). However, monitoring the presence of bacterial concentrations in real time at each stage of the WRRF is challenging as it requires taking and processing water samples offline. Although few studies have been proposed to predict bacterial concentrations using data-driven models, generalizing these models to unseen data from different WRRFs remains challenging.
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