Ultrastructure of cell wall and thylakoid membranes of the thermophilic cyanobacterium Synechococcus lividus under the influence of temperature shifts

The ultrastructure of the cell wall and the thylakoid membranes of the thermophilic cyanobacterium Synechococcus lividus was studied by freezefracture electron microscopy after temperature shifts. Different fracture faces of the outer, the cytoplasmic and the thylakoid membranes were demonstrated when the preparation-temperature was in the range of the optimal growth temperature at 52°C or after fixation at 52°C. In the outer membrane of the cell wall two fracture faces with holes and 7.5 nm intramembrane particles were detected. On both the outer (EF) and inner (PF) leaflet of the cytoplasmic membrane randomly distributed particles were demonstrated. The particle density on the PF-face was approx. three times that of the EF-face. The EF-face of the thylakoid membrane exposed rows of particles with an average diameter of 10 nm. The spacing between the particle rows was 35–50 nm. This regular particle arrangement on the EF-face was demonstrated only in a few cases. Mostly the intramembrane particles were distributed randomly on the thylakoid fracture faces. The particle density of thylakoids with a random distribution was approx. in the same range both on the EF-and PF-face. The EF-particles fall into four groups of 9,10,11, and 12.5 nm. The main particle class was the 10 nm class. The PF-face exposed smaller particles with two maxima at 8.5–9 nm and 10 nm. When Synechococcus lividus OH-53s was chilled to temperatures below 30–35°C before the freeze-etch preparation a phase transition took place after the temperature shift. On the fracture faces of the thylakoid and cytoplasmic membranes particle depleted areas occurred. The size of the areas were different in both membranes and dependent on the velocity of cooling. Contrary to Synechococcus lividus OH-53s in the mesophilic Synechococcus strain 6910 the phase transition point was 15°C. The lower phase transition point may be due to a higher content of unsaturated fatty acids.Dedicated to Prof. D. Peters (Hamburg) on the occasion of the 65th anniversary of his birthday     

Human Health Risk Assessment of Soils Contaminated with Metal(loid)s by Using DGT Uptake: A Case Study of a Former Korean Metal Refinery Site

The human health risk of soils contaminated with As, Pb, Cu, and Zn was evaluated based on pseudo-total concentrations of metal(loid)s, the physiologically based extraction test (PBET), and diffusive gradients in thin films (DGT). Non-carcinogenic (NCR) and carcinogenic (CR) risks exceeded the U.S. Environmental Protection Agency criteria under both the residential and non-residential scenarios. Human bioavailable concentrations (PBET) were much lower than pseudo-total concentrations. The Hazardous Index of NCR (HI (NCR)) for the PBET in the studied soils was 67% and 94% less than that for pseudo-total concentration, respectively, under the non-residential and residential scenarios. Similarly, CR for the PBET was also 65% and 93% less for the two soils. The concentration of metal(loid)s accumulated in the DGT resin was highly correlated with the PBET-extractable concentration (R² > 0.649). Therefore, for both the CR and HI (NCR), the DGT-calculated risk was linearly related to the PBET-calculated risk for the studied soils under both scenarios. The results suggest that DGT uptake and PBET-extracted concentrations are good surrogates for risk estimation and that both J1 and J2 soils require remediation before their use for residential or non-residential purposes.     

Scale‐down simulators for mammalian cell culture as tools to access the impact of inhomogeneities occurring in large‐scale bioreactors

During the scale‐up of a bioprocess, not all characteristics of the process can be kept constant throughout the different scales. This typically results in increased mixing times with increasing reactor volumes. The poor mixing leads in turn to the formation of concentration gradients throughout the reactor and exposes cells to varying external conditions based on their location in the bioreactor. This can affect process performance and complicate process scale‐up. Scale‐down simulators, which aim at replicating the large‐scale environment, expose the cells to changing environmental conditions. This has the potential to reveal adaptation mechanisms, which cells are using to adjust to rapidly fluctuating environmental conditions and can identify possible root causes for difficulties maintaining similar process performance at different scales. This understanding is of utmost importance in process validation. Additionally, these simulators also have the potential to be used for selecting cells, which are most robust when encountering changing extracellular conditions. The aim of this review is to summarize recent work in this interesting and promising area with the focus on mammalian bioprocesses, since microbial processes have been extensively reviewed.