Evaluation of respirometric data: identification of features that preclude data fitting with existing kinetic expressions

Analyzing transient respirometric data by analytical algorithm for Monod kinetic parameters

This study aims to develop an analytical algorithm with oxygen update (O_u) data obtained from transient respirometric measurement. Based on Monod kinetics, this study formulates a novel two-phase analytical model for an oxygen uptake rate plot (OUR vs. O_u) obtained by respirometric techniques. The first phase is a hyperbolic equation relating to exogenous and endogenous respiration, while the second phase is a linear equation for endogenous respiration only. An algorithm was therefore developed to analyze four Monod parameters by locating the best phase-separating point at which the absolute average relative error (ARE) of OUR is minimized. An analysis using test data on acetate verified that the algorithm is capable of transient kinetic parameter estimation with an ARE below 5-10%. A sensitivity analysis on domestic wastewater coupled with a Monte Carlo simulation concluded that the kinetic test must be conducted at a relatively high initial substrate level (S_o/X_o ≧ 1 and S_o/K_s ≧ 10) for reliable parameter estimation. Moreover, it is crucial to conduct the kinetic test with sufficient and acclimated seed culture for the degradation of substrate. The results of this study can be used to develop an automatic transient kinetic analyzer with modern programmable respirometers.

Transformation and Sorption of Illicit Drug Biomarkers in Sewer Systems: Understanding the Role of Suspended Solids in Raw Wastewater

Sewer pipelines, although primarily designed for sewage transport, can also be considered as bioreactors. In-sewer processes may lead to significant variations of chemical loadings from source release points to the treatment plant influent. In this study, we assessed in-sewer utilization of growth substrates (primary metabolic processes) and transformation of illicit drug biomarkers (secondary metabolic processes) by suspended biomass. Sixteen drug biomarkers were targeted, including mephedrone, methadone, cocaine, heroin, codeine, and tetrahydrocannabinol (THC) and their major human metabolites. Batch experiments were performed under aerobic and anaerobic conditions using raw wastewater. Abiotic biomarker transformation and partitioning to suspended solids and reactor wall were separately investigated under both redox conditions. A process model was identified by combining and extending the Wastewater Aerobic/anaerobic Transformations in Sewers (WATS) model and Activated Sludge Model for Xenobiotics (ASM-X). Kinetic and stoichiometric model parameters were estimated using experimental data via the Bayesian optimization method DREAM_(ZS). Results suggest that biomarker transformation significantly differs from aerobic to anaerobic conditions, and abiotic conversion is the dominant mechanism for many of the selected substances. Notably, an explicit description of biomass growth during batch experiments was crucial to avoid significant overestimation (up to 385%) of aerobic biotransformation rate constants. Predictions of in-sewer transformation provided here can reduce the uncertainty in the estimation of drug consumption as part of wastewater-based epidemiological studies.

Effect of high salinity on yeast activated sludge reactor operation

Yeast activated sludge was developed and operated at salinities of 0, 15, 30, 45, and 60 g/l NaCl. The kinetics of the various sludges degrading a wastewater with glycerol as the carbon source were determined. Inhibition due to salinity was analyzed and it was found that the limiting concentration of NaCl is 120 g/l. Salinity affects the maximum growth rate of the sludge. Reactors were exposed to shock salinity changes. Salt shocks affected maximum growth rate of the reactors but treatment was still effective. The effect of pH adjustment was investigated and it was determined that hourly adjustments of pH led to the most effective treatment outcomes. Finally, DNA of the reactors was investigated. Although Scheffersomyces spartinae (Debaryomycetaceae family) was clearly more suited to the high salinity environment than other yeast species, even at high salinity the number of species was diverse. This suggests the potential to use a number of yeast species for high salinity wastewater treatment.

A new extant respirometric assay to estimate intrinsic growth parameters applied to study plasmid metabolic burden

Start-up phenomena in microbial biokinetic assays are not captured by the most commonly used growth-related equations. In this study we propose a new respirometric experimental design to estimate intrinsic growth parameters that allow us to avoid these limitations without data omission, separate mathematical treatment, or wake-up pulses prior to the analysis. Identifiability and sensitivity analysis were performed to confirm the robustness of the new approach for obtaining unique and accurate estimates of growth kinetic parameters. The new experimental design was applied to establish the metabolic burden caused by the carriage of a pWW0 TOL plasmid in the model organism Pseudomonas putida KT2440. The metabolic burden associated was manifested as a reduction in the yield and the specific growth rate of the host, with both plasmid maintenance and the over-expression of recombinant proteins from the plasmid contributing equally to the overall effect.

Respirometric evaluation of a mixture of organic chemicals with different biodegradation kinetics

The study evaluated the biodegradation characteristics of a mixture of organics with different biodegradation characteristics in an integrated chemical plant effluent. The wastewater had a total chemical oxygen demand (COD) content of 12,800mg/L, mostly soluble and 93% biodegradable. The evaluation was based on respirometry, and mainly consisted on model calibration and interpretation of the oxygen uptake rate data, which exhibited an original and specific profile with a sequence of two peaks and three plateaus. A specific model was defined for this purpose, which identified four different biodegradable COD components with significantly different process kinetics. The major fraction accounting for 57% of the total biodegradable COD in the wastewater had to be hydrolyzed before biodegradation with a low hydrolysis rate of 1.3day(-1). The analysis of the experimental data showed that the oxygen utilization started with a delayed response after substrate addition. The delayed logarithmic phase could be characterized by a Haldane type of inhibition kinetics.

Biokinetic characterization of the acceleration phase in autotrophic ammonia oxidation

Batch autotrophic ammonia oxidation tracked through oxygen uptake measurements displays a preliminary acceleration phase. Failure to recognize the acceleration phase and fitting batch ammonia oxidation profiles with standard Monod-type mathematical models can result in meaningless kinetic parameter estimates. The objectives of this study were to examine the factors controlling the acceleration phase and to derive and test empirical and metabolic models for its description. Because of possible sustained reducing power limitation during batch ammonia oxidation, the extent of the acceleration phase (1) increased with increasing initial ammonia concentration, (2) did not systematically vary with initial biomass concentrations, and (3) increased in response to starvation. Concurrent hydroxylamine oxidation significantly reduced the acceleration phase potentially by relieving reducing power limitation. A nonlinear empirical model described the acceleration phase more accurately than a linear empirical model. The metabolic model also captured experimental trends exceedingly well, but required determination of additional parameters and variables.

Changes in microbiological metabolism under chemical stress

Chemical stress may alter microbiological metabolism and this, in turn, may affect the natural and engineered systems where these organisms function. The impact of chemical stress on microbiological metabolism was investigated using model chemicals 2,4-dinitrophenol (DNP), pentachlorophenol (PCP), and N-ethylmaleimide (NEM). Biological activity of Pseudomonas aeruginosa was measured in batch systems, with and without stressors at sub-lethal concentrations. Stressor DNP, between 49 and 140 mg l(-1), and PCP, at 15 and 38 mg l(-1), caused decreases in biomass growth yields, but did not inhibit substrate utilization rates. These effects increased with stressor concentrations, showing as much as a 10% yield reduction at the highest DNP concentration. This suggests that a portion of carbon and energy resources are diverted from growth and used in stress management and protection. Stressor DNP, between 300 and 700 mg l(-1), and PCP at 85 mg l(-1) caused decreases in growth yields and substrate utilization rates. This suggests an inhibition of both anabolism and catabolism. Stressor NEM was the most potent, inhibiting biological activity at concentrations as low as 2.7 mg l(-1). These findings will ultimately be useful in better monitoring and management of biological treatment operations and contaminated natural systems.

Factors affecting oxygen-transfer rates in headspace-gas respirometers

Satisfactory measures of the biological-oxygen-uptake rate in headspace-gas respirometers can only be achieved if the rate of oxygen transfer from the headspace gas to liquid is greater than the rate of oxygen uptake by microorganisms. In the authors' study, factors potentially affecting oxygen-transfer limitations in headspace-gas respirometers were evaluated quantitatively. Tests were conducted to measure maximum-oxygen-uptake rates by operating a respirometer under various test conditions. Analysis of respirometric data indicated that limiting oxygen-transfer rates were related to mixing intensity, length of magnetic stirring bar, volume of sample, and oxygen content in the headspace gas. A multivariable model was developed to describe the overall contribution of these factors to the limiting oxygen-transfer rate. This model should be useful for estimating maximum-oxygen-transfer rates for essentially all headspace-gas respirometers.

An insight into soil bioremediation through respirometry

Respirometric tests on a soil contaminated by crude oil were performed. Continuous measurements of oxygen and carbon dioxide concentrations and temperature in the soil atmosphere resulted in a large volume of data. Time series and system identification theories were used to analyze data as a biological signal, allowing us to detect some particularities related to daily cycles of the studied variables as well as its time relationships through autocorrelation and cross-correlation functions. Using system identification techniques, it was possible to build black box models, namely autoregressive moving average models which enable to predict oxygen concentration at the outlet in a good agreement with measured data.

Effect of temperature and dissolved oxygen on the growth kinetics of Pseudomonas putida F1 growing on benzene and toluene

Batch experiments were conducted to determine the effect of temperature and dissolved oxygen concentration on the rates of growth and substrate (benzene and toluene) degradation by the toluene degrading strain, Pseudomonas putida F1. Over a range of temperature from 15 to 35 degrees C the maximum specific growth rate followed the Topiwala-Sinclair relationship when either benzene or toluene served as the sole carbon and energy source. Oxygen limited growth followed Monod saturation kinetics with the specific growth rate given as a function of the dissolved oxygen concentration. The oxygen half-saturation coefficient was found to be approximately 1 mg/l regardless of whether benzene or toluene was the substrate. Similar experiments with Burkholderia (Ralstonia) pickettii PKO1 for grown on toluene revealed an oxygen half-saturation coefficient of 0.7 mg/l.

Substrate inhibition kinetics for toluene and benzene degrading pure cultures and a method for collection and analysis of respirometric data for strongly inhibited cultures

We present an evaluation of the qualitative and quantitative effects that high concentrations of benzene and toluene have on the growth rate of several pure cultures that use these compounds as their sole carbon and energy source. The cultures employed were five widely studied environmental isolates: Pseudomonas putida F1, P. putida mt2, P. mendocina KR, Ralstonia pickettii PKO1, and Burkholderia cepacia G4. Three cultures degraded toluene following a pattern consistent with the kinetic model of Wayman and Tseng (1976) while the other two followed a modification of this model introduced by Alagappan and Cowan (2001). The pattern followed for benzene degradation was different than that for toluene degradation for all four capable pure cultures and consistent with that described by the model of Luong (1987). Mechanisms of substrate inhibition and solvent toxicity are discussed, used to conceptually evaluate the reasons for the differences in inhibition behavior, and used to support a call for more widespread use of the empirical, terminal substrate concentration inhibition models employed here. We also present the methodology developed to overcome a limitation commonly encountered when attempting to collect oxygen uptake data for use in quantifying substrate inhibition kinetics. The experimental method was effective for use in the collection of high quality data and the substrate inhibition models most useful in representing the growth of bacteria on these solvents are those that show a complete loss of activity at high concentration rather than the more popular asymptotic inhibition models.