Microbial community developments and biomass characteristics in membrane bioreactors under different organic loadings

Microbial community developments and biomass characteristics (concentration, particle size, extracellular polymeric substances (EPS), and membrane fouling propensity) were compared when three MBRs were fed with the synthetic wastewater at different organic loadings. Results showed that the bacterial communities dynamically shifted in different ways and the EPS displayed dissimilar profiles under various organic loadings, which were associated with the ratios of food to microorganism and dissolved oxygen levels in the MBRs. The membrane fouling tendency of biomass in the low-loading MBR (0.57 g COD/L day) was insignificantly different from that in the medium-loading MBR (1.14 g COD/L day), which was apparently lower than that in the high-loading MBR (2.28 g COD/L day). The membrane fouling propensity of biomass was strongly correlated with their bound EPS contents, indicating cake layer fouling (i.e., deposition of microbial flocs) was predominant in membrane fouling at a high flux of 30 L/m² h.     

Prediction of membrane fouling in MBR systems using empirically estimated specific cake resistance

The focus of this study was to empirically estimate the specific cake resistance (SCR) by the variation in shear intensity (G) in four laboratory-scale MBRs. The control reactor (MBR₀) was operated with aeration only while other MBRs (MBR₁₅₀, MBR₃₀₀ and MBR₄₅₀) were operated with aeration and mechanical mixing intensities of 150, 300 and 450 rpm, respectively. It was found that the SCR was strongly correlated (R² = 0.99) with the fouling rates in the MBRs. Moreover, the contribution of cake resistance (R_c) to the total hydraulic resistance (R_t) was predominant compared to the irreversible fouling resistance (R_f). On this basis, the cake filtration model was selected as a predictive tool for membrane fouling. This model was modified by replacing the SCR with its empirical shear intensity relationship. The modified model can predict the fouling rate for a given shear intensity (G) within 80 and 250 s⁻¹ in a MBR system.     

A new sensor,the “filtration probe,” for quantitative characterization of the penicillin fermentation. II. The monitor of mycelial growth

Biomass concentration during penicillin production can be estimated rapidly and with reasonable accuracy using the “filtration probe.” The basis for the measurement is the volume of the filter cake which, in contrast to the conventional “packed-cell volume” measured by centrifugation, is only moderately affected by the morphology of the mycelia. The influence of the mycelial morphology on the specific filter cake volume [ υ (cm³ cake/g dry cells)] can additionally, to a large extent, be predicted from the (specific) filtration resistance of the broth. During the rapid (exponential) growth period, the specific cake volume is, however, more variable and typically exhibits a transient maximum value. The presence of such a maximum can be explained by a simple model for exponential growth of single mycelial particles. this model is based upon conventional kinetics for hyphae elongation and branching and applies well to experimental data (filtration behavior as well as microscopic studies) provided hyphae fragmentation is negligible (i.e., at high growth rates, μ ? μ_max).     

Mechanistic modeling of the loss of protein sieving due to internal and external fouling of microfilters

Fed‐batch and perfusion cell culture processes used to produce therapeutic proteins can use microfilters for product harvest. In this study, new explicit mathematical models of sieving loss due to internal membrane fouling, external membrane fouling, or a combination of the two were generated. The models accounted for membrane and cake structures and hindered solute transport. Internal membrane fouling was assumed to occur due to the accumulation of foulant on either membrane pore walls (pore‐retention model) or membrane fibers (fiber‐retention model). External cake fouling was assumed to occur either by the growth of a single incompressible cake layer (cake‐growth) or by the accumulation of a number of independent cake layers (cake‐series). The pore‐retention model was combined with either the cake‐series or cake‐growth models to obtain models that describe internal and external fouling occurring either simultaneously or sequentially. The models were tested using well‐documented sieving decline data available in the literature. The sequential pore‐retention followed by cake‐growth model provided a good fit of sieving decline data during beer microfiltration. The cake‐series and cake‐growth models provided good fits of sieving decline data during the microfiltration of a perfusion cell culture. The new models provide insights into the mechanisms of fouling that result in the loss of product sieving. © 2017 American Institute of Chemical Engineers Biotechnol. Prog., 33:1323–1333, 2017     

Microbial behaviors involved in cake fouling in membrane bioreactors under different solids retention times

Biomass characteristics and membrane performances in the MBRs operated at a high flux of 30 L/m² h under different SRTs (10, 30 days, and infinity) were monitored. Results showed that more serious cake-fouling happened in the SRT-infinity MBR, which correlated with the activated sludge characteristics such as smaller floc size and greater EPS amount. DGGE analysis indicated that the microbial community shifted in different ways under various SRTs, which also influenced EPS productions in the MBRs. Different microbial communities were developed on the membrane surfaces at various operating stages and SRTs. Possibly, the activated sludge characteristics (such as MLSS concentration, EPS properties) and hydrodynamic conditions influenced by the SRTs were associated with cake layer development and membrane fouling propensity. Insight into the EPS characteristics and deposition behaviors of bacterial flocs will be crucial to explore appropriate biofouling control strategies in MBRs.     

On maintenance models in severely and long-term limited membrane bioreactor cultivations

Membrane bioreactors (MBRs) are combinations of common bioreactors and membrane separation units for biomass retention. Through increased biomass concentration, they allow increased productivity (or smaller reactor volume, respectively). Besides high biomass concentrations, operation at very low growth rates is typical for MBRs. In this regime, maintenance metabolism where substrate uptake only yields energy for cell survival becomes of higher importance than in processes run at higher growth rates. While thermodynamically based correlations for the prediction of maintenance coefficients are available for chemostat or other medium growth rate processes, some authors have mentioned a change in energy demand in MBRs and a dependence of maintenance parameters on operating conditions. Due to the fact that often mixed cultures are used and resulting from the different evaluation methods used by different authors, views on the possible influences on maintenance parameters differ. However, it is accepted that common models describing microbial growth and production of metabolites or degradation of pollutants do not consider the effects caused by severe limitations and therefore cannot sufficiently be applied to MBRs. In this study, maintenance parameters were determined for a model organism (Ustilago maydis) and results from different evaluation methods were compared. A continuous fit of respiration data gave more consistent results than the traditional method of plotting specific uptake versus growth rate. They suggest that below micro = 10% micro(max) the maintenance coefficient drops to a third of the value in short-term limited cultures.     

Effect of sulfadiazine and trimethoprim on activated sludge performance and microbial community dynamics in laboratory-scale membrane bioreactors and sequencing batch reactors at 8°C

The effect of antibiotics sulfadiazine and trimethoprim on activated sludge operated at 8°C was investigated. Performance and microbial communities of sequencing batch reactors (SBRs) and Membrane Bioreactors (MBRs) were compared before and after the exposure of antibiotics to the synthetic wastewater. The results revealed irreversible negative effect of these antibiotics in environmentally relevant concentrations on nitrifying microbial community of SBR activated sludge. In opposite, MBR sludge demonstrated fast adaptation and more stable performance during the antibiotics exposure. Dynamics of microbial community was greatly affected by presence of antibiotics. Bacteria from classes Betaproteobacteria and Bacteroidetes demonstrated the potential to develop antibiotic resistance in both wastewater treatment systems while Actinobacteria disappeared from all of the reactors after 60 days of antibiotics exposure. Altogether, results showed that operational parameters such as sludge retention time (SRT) and reactor configuration had great effect on microbial community composition of activated sludge and its vulnerability to antibiotics. Operation at long SRT allowed archaea, including ammonium oxidizing species (AOA) such as Nitrososphaera viennensis to grow in MBRs. AOA could have an important role in stable nitrification performance of MBR-activated sludge as a result of tolerance of archaea to antibiotics. © 2018 American Institute of Chemical Engineers Biotechnol. Prog., 35: e2708, 2019     

Affinities of gidazepam and its analogs for mitochondrial benzodiazepine receptors

Mitochondrial benzodiazepine receptors (MBRs) participate in many physiological processes, such as calcium flow regulation, proliferative and respiratory cell functions, mitochondrial steroidogenesis and adaptational reactions to stress. We have found that the selective anxiolytic gidazepam has a higher affinity for CNS MBRs as compared to central benzodiazepine receptors. The ability of gidazepam to bind to MBRs probably underlies a wide spectrum of its pharmacological effects. We have studied affinities of gidazepam analogs for CNS MBRs in search for the ligands possessing higher affinity and selectivity. The experiments were carried out with male Wistar rats weighing between 200-220 g. Affinities of the investigated compounds were assessed on their ability to displace radioligand Ro5-4864 from its specific binding sites on MBRs of rat brain. Within the series of tested compounds three substances comparable on affinity with Ro5-4864 were found. Experimental results have shown that the presence of chlorine atom in o-position of 5-phenyl substituent leads to a 10 to 15-fold increase in affinity for CNS MBRs. We have also found that the essential contribution in affinity of the investigated series is brought by lipophilicity of substituent in IN-position. Our data may be useful in design and synthesis of novel potent selectively acting ligands of CNS MBRs.     

Effects of rapeseed‐press cake glucosinolates and iodine on the performance,the thyroid gland and the liver vitamin a status of pigs

Rapeseed press cake (per kg DM 181 g EE, 341 g CP and 23.3 mmol glucosinolates) was tested in a long‐term experiment with a total of sixty pigs (live weight range 24 to 104 kg). The 3×2 factorial design consisted of three rapeseed press cake levels (no rapeseed press cake ‐ control, 75g or 150g rapeseed press cake per kg diet) each with two iodine dosages (125 or 250 μg supplementary iodine per kg diet). Reduced feed intake and depressed weight gain were found in groups receiving 150 g rapeseed press cake per kg diet, which correspond to 3.2mmol glucosinolates per kg diet. At an inclusion level of 75 g rapeseed‐press cake per kg diet no differences in feed intake and growth intensity were recorded in comparison to the rape feed free control. The rapeseed‐press cake diet increased the weight of thyroid gland and liver and decreased the serum thyroxine (T₄) concentration. Higher iodine dosage increased the serum T₄ concentration of pigs receiving 75 g rapeseed press cake per kg diet ( = 1.6 mmol glucosinolates per kg diet) to the level of the control group and retarded the enlargement of the thyroid gland. Intake of rapeseed products lowered the iodine content of the thyroid gland, however, there was no significant difference between groups given 1.6 and 3.2 mmol glucosinolates per kg diet. The vitamin A content of the whole liver and the vitamin A serum concentration were not influenced by the diets tested. However, rapeseed press cake and the glucosinolates, respectively, decreased the vitamin A concentration per gram liver due to the organ enlargement and the resulting dilution effect.     

Biomass Characteristics,Aeration and Oxygen Transfer in Membrane Bioreactors: Their Interrelations Explained by a Review of Aerobic Biological Processes

Membrane bioreactor (MBR) is a promising alternative to conventional wastewater treatment methods. However this process is still under-used due to its high running costs. Its main power requirement comes from aeration, which is used to supply dissolved oxygen to the micro-organisms and to maintain the solids in suspension. In addition, in submerged MBRs, aeration is used for membrane cleaning. A complex matrix links the biomass characteristics, the aeration and the oxygen transfer. These parameters can impact on each other and/or delete one another effect. In order to understand the phenomena occurring in MBRs, similar aerobic biological processes, such as fermentation, mineral industry and slurry, were investigated. This review discusses the interrelations of the biomass characteristics (solids concentration, particle size and viscosity), the aeration intensity and the oxygen transfer in MBRs.     

Horizontal transfer of antibiotic resistance genes in a membrane bioreactor

Growing attention has been paid to the dissemination of antibiotic resistance genes (ARGs) in wastewater microbial communities. The application of membrane bioreactors (MBRs) in wastewater treatment is becoming increasingly widespread. We hypothesized that the transfer of ARGs among bacteria could occur in MBRs, which combine a high density of bacterial cells, biofilms, and antibiotic resistance bacteria or ARGs. In this study, the transfer discipline and dissemination of the RP4 plasmid in MBRs were investigated by the counting plate method, the MIDI microorganism identification system, and quantitative polymerase chain reaction (qPCR) techniques. The results showed that the average transfer frequency of the RP4 plasmid from the donor strain to cultivable bacteria in activated sludge was 2.76 × 10⁻⁵ per recipient, which was greater than the transfer frequency in wastewater and bacterial sludge reported previously. In addition, many bacterial species in the activated sludge had received RP4 by horizontal transfer, while the genera of Shewanella spp., Photobacterium spp., Pseudomonas spp., Proteus spp., and Vibrio spp. were more likely to acquire this plasmid. Interestingly, the abundance of the RP4 plasmid in total DNA remained at high levels and relatively stable at 10⁴ copies/mg of biosolids, suggesting that ARGs were transferred from donor strains to activated sludge bacteria in our study. Thus, the presence of ARGs in sewage sludge poses a potential health threat.     

Effects of Hydraulic Soil Properties on Vegetation Pattern Formation in Sloping Landscapes

Current models of vegetation pattern formation rely on a system of weakly nonlinear reaction–diffusion equations that are coupled by their source terms. While these equations, which are used to describe a spatiotemporal planar evolution of biomass and soil water, qualitatively capture the emergence of various types of vegetation patterns in arid environments, they are phenomenological and have a limited predictive power. We ameliorate these limitations by deriving the vertically averaged Richards’ equation to describe flow (as opposed to “diffusion”) of water in partially saturated soils. This establishes conditions under which this nonlinear equation reduces to its weakly nonlinear reaction–diffusion counterpart used in the previous models, thus relating their unphysical parameters (e.g., diffusion coefficient) to the measurable soil properties (e.g., hydraulic conductivity) used to parameterize the Richards equation. Our model is valid for both flat and sloping landscapes and can handle arbitrary topography and boundary conditions. The result is a model that relates the environmental conditions (e.g., precipitation rate, runoff and soil properties) to formation of multiple patterns observed in nature (such as stripes, labyrinth and spots).     

Biotic responses buffer warming‐induced soil organic carbon loss in Arctic tundra

Climate warming can result in both abiotic (e.g., permafrost thaw) and biotic (e.g., microbial functional genes) changes in Arctic tundra. Recent research has incorporated dynamic permafrost thaw in Earth system models (ESMs) and indicates that Arctic tundra could be a significant future carbon (C) source due to the enhanced decomposition of thawed deep soil C. However, warming‐induced biotic changes may influence biologically related parameters and the consequent projections in ESMs. How model parameters associated with biotic responses will change under warming and to what extent these changes affect projected C budgets have not been carefully examined. In this study, we synthesized six data sets over 5 years from a soil warming experiment at the Eight Mile Lake, Alaska, into the Terrestrial ECOsystem (TECO) model with a probabilistic inversion approach. The TECO model used multiple soil layers to track dynamics of thawed soil under different treatments. Our results show that warming increased light use efficiency of vegetation photosynthesis but decreased baseline (i.e., environment‐corrected) turnover rates of SOC in both the fast and slow pools in comparison with those under control. Moreover, the parameter changes generally amplified over time, suggesting processes of gradual physiological acclimation and functional gene shifts of both plants and microbes. The TECO model predicted that field warming from 2009 to 2013 resulted in cumulative C losses of 224 or 87 g/m², respectively, without or with changes in those parameters. Thus, warming‐induced parameter changes reduced predicted soil C loss by 61%. Our study suggests that it is critical to incorporate biotic changes in ESMs to improve the model performance in predicting C dynamics in permafrost regions.     

Evaluating automated parameter constraining procedures of neuron models by experimental and surrogate data

Neuron models, in particular conductance-based compartmental models, often have numerous parameters that cannot be directly determined experimentally and must be constrained by an optimization procedure. A common practice in evaluating the utility of such procedures is using a previously developed model to generate surrogate data (e.g., traces of spikes following step current pulses) and then challenging the algorithm to recover the original parameters (e.g., the value of maximal ion channel conductances) that were used to generate the data. In this fashion, the success or failure of the model fitting procedure to find the original parameters can be easily determined. Here we show that some model fitting procedures that provide an excellent fit in the case of such model-to-model comparisons provide ill-balanced results when applied to experimental data. The main reason is that surrogate and experimental data test different aspects of the algorithm’s function. When considering model-generated surrogate data, the algorithm is required to locate a perfect solution that is known to exist. In contrast, when considering experimental target data, there is no guarantee that a perfect solution is part of the search space. In this case, the optimization procedure must rank all imperfect approximations and ultimately select the best approximation. This aspect is not tested at all when considering surrogate data since at least one perfect solution is known to exist (the original parameters) making all approximations unnecessary. Furthermore, we demonstrate that distance functions based on extracting a set of features from the target data (such as time-to-first-spike, spike width, spike frequency, etc.)—rather than using the original data (e.g., the whole spike trace) as the target for fitting—are capable of finding imperfect solutions that are good approximations of the experimental data.     

AFFINITIES OF GIDAZEPAM AND ITS ANALOGS FOR MITOCHONDRIAL BENZODIAZEPINE RECEPTORS

ABSTRACT

Mitochondrial benzodiazepine receptors (MBRs) participate in many physiological processes, such as calcium flow regulation, proliferative and respiratory cell functions, mitochondrial steroidogenesis and adaptational reactions to stress. We have found that the selective anxiolytic gidazepam has a higher affinity for CNS MBRs as compared to central benzodiazepine receptors. The ability of gidazepam to bind to MBRs probably underlies a wide spectrum of its pharmacological effects. We have studied affinities of gidazepam analogs for CNS MBRs in search for the ligands possessing higher affinity and selectivity. The experiments were carried out with male Wistar rats weighing between 200–220?g. Affinities of the investigated compounds were assessed on their ability to displace radioligand Ro5-4864 from its specific binding sites on MBRs of rat brain. Within the series of tested compounds three substances comparable on affinity with Ro5-4864 were found. Experimental results have shown that the presence of chlorine atom in o-position of 5-phenyl substituent leads to a 10 to 15-fold increase in affinity for CNS MBRs. We have also found that the essential contribution in affinity of the investigated series is brought by lipophilicity of substituent in 1N-position. Our data may be useful in design and synthesis of novel potent selectively acting ligands of CNS MBRs.     

Improved bioethanol production through simultaneous saccharification and fermentation of lignocellulosic agricultural wastes by <Emphasis Type="Italic">Kluyveromyces marxianus</Emphasis> 6556

The combined effect of simultaneous saccharification and fermentation and separate hydrolysis and fermentation (SHF) for ethanol production by Kluyveromyces marxianus 6556 was studied using two lignocellulosic feedstocks viz., corncob and soybean cake. The ethanologenic efficiency of K. marxianus 6556 was observed as 28% (theoretical yield) in a fermentation medium containing glucose, but, there was no ethanol production by cells grown on xylose. A maximum sugar release of 888 mg/g corncob and 552 mg/g soybean cake was achieved through acid hydrolysis pretreatment. Furthermore, corncob and soybean cake treated with commercial cellulase (100 IU for 48 h) from Trichoderma reesei yielded reducing sugars of 205 and 100 mg/g, respectively. Simultaneous saccharification and fermentation resulted in highest ethanol production of 5.68 g/l on corncob and 2.14 g/l on soybean cake after 48 h of incubation. On the contrary, the presence of inhibitors decreased the overall ethanol yield in the hydrolysates obtained through SHF of corncob and soybean cake.     

Development of spatial coarse-to-fine processing in the visual pathway

The sequential analysis of information in a coarse-to-fine manner is a fundamental mode of processing in the visual pathway. Spatial frequency (SF) tuning, arguably the most fundamental feature of spatial vision, provides particular intuition within the coarse-to-fine framework: low spatial frequencies convey global information about an image (e.g., general orientation), while high spatial frequencies carry more detailed information (e.g., edges). In this paper, we study the development of cortical spatial frequency tuning. As feedforward input from the lateral geniculate nucleus (LGN) has been shown to have significant influence on cortical coarse-to-fine processing, we present a firing-rate based thalamocortical model which includes both feedforward and feedback components. We analyze the relationship between various model parameters (including cortical feedback strength) and responses. We confirm the importance of the antagonistic relationship between the center and surround responses in thalamic relay cell receptive fields (RFs), and further characterize how specific structural LGN RF parameters affect cortical coarse-to-fine processing. Our results also indicate that the effect of cortical feedback on spatial frequency tuning is age-dependent: in particular, cortical feedback more strongly affects coarse-to-fine processing in kittens than in adults. We use our results to propose an experimentally testable hypothesis for the function of the extensive feedback in the corticothalamic circuit.     

Miniature bioreactors: current practices and future opportunities

This review focuses on the emerging field of miniature bioreactors (MBRs), and examines the way in which they are used to speed up many areas of bioprocessing. MBRs aim to achieve this acceleration as a result of their inherent high-throughput capability, which results from their ability to perform many cell cultivations in parallel. There are several applications for MBRs, ranging from media development and strain improvement to process optimisation. The potential of MBRs for use in these applications will be explained in detail in this review. MBRs are currently based on several existing bioreactor platforms such as shaken devices, stirred-tank reactors and bubble columns. This review will present the advantages and disadvantages of each design together with an appraisal of prototype and commercialised devices developed for parallel operation. Finally we will discuss how MBRs can be used in conjunction with automated robotic systems and other miniature process units to deliver a fully-integrated, high-throughput (HT) solution for cell cultivation process development.     

A new cyclolinopeptide containing nonproteinaceous amino acid N-methyl-4-aminoproline

We have found that besides the known cyclolinopeptides A (CLA) and B (CLB), there is a new cyclic peptide in linseed mill cake that we have named CLX. Its composition is very similar to that of CLA, a cyclic peptide with a distinct immunosuppressive activity. The sequence of this peptide has been established as cyclo(PPFFILLX), where X is a non-proteinaceous amino acid, N-methyl-4-aminoproline. This amino acid substitutes for two amino acid residues of CLA, mimicking a dipeptide moiety with a nonplanar cis amide bond. The non-proteinaceous amino acid X may mimic a transition state of the peptide bond which exists in such processes as, e.g., PPIase-catalysed cis/trans amide-Pro bond isomerisation.     

Accelerated coffee pulp composting

The effect of two abundant, easily available and very low-cost agro-industrial organic residues, i.e., filter cake from the sugar industry and poultry litter, on the composting stabilization time of coffee pulp and on the quality of the produced compost, was evaluated. Piles of one cubic meter were built and monitored within the facilities of a coffee processing plant in the Coatepec region of the State of Veracruz, Mexico. Manual aeration was carried out once a week. A longer thermophilic period (28 days) and a much lower C/N ratio (in the range of 6.9–9.1) were observed in the piles containing the amendments, as compared to the control pile containing only coffee pulp (14 days and a C/N ratio of 14.4, respectively). The maximum assimilation rate of the reducing sugars was 1.6 g kg-1 d-1 (from 7.5 to 5.3%) during the first two weeks when accelerators were present in the proportion of 20% filter cake plus 20% poultry litter, while they accumulated at a rate of 1.2 g kg-1 d-1 (from 7.4 to 9.13%) during the same period in the control pile. The best combination of amendments was 30% filter cake with 20% poultry litter, resulting in a final nitrogen content as high as 4.81%. The second best combination was 20% filter cake with 10% poultry litter, resulting in a compost which also contained a high level of total nitrogen (4.54%). It was concluded that the use of these two residues enhanced the composting process of coffee pulp, promoting a shorter stabilization period and yielding a higher quality of compost.