Immobilized Enzymes: Strategies for Overcoming the Substrate Diffusion- Limitation Problem

2014 ◽  
Vol 3 (3) ◽  
pp. 207-217 ◽  
Author(s):  
M.S. Eldin ◽  
D.G. Mita
2004 ◽  
Vol 9 (2) ◽  
pp. 139-144 ◽  
Author(s):  
J. Kulys

A model of biosensor containing three immobilized enzymes utilizing consecutive substrate conversion in the chain was developed. The modeling was performed at an internal diffusion limitation and a steadystate condition. The calculations showed that significant response of biosensors was produced if diffusion modules were larger than 1 for all enzyme reactions. Due to diffusion limitation the apparent stability of biosensor response increased many times in comparison to stability of the most labile enzyme of the chain.


2003 ◽  
Vol 8 (2) ◽  
pp. 65-70
Author(s):  
J. Kulys

A mathematical model of enzymes inhibition during microparticles formation has been developed. The model is based on radial substrate diffusion through diffusion layer that surrounds microparticle. The inhibition of enzymes was explained by enzyme adsorption on surface of the microparticles and substrate diffusion limitation through the diffusion layer. The diffusion module is dependent on dimensions of the microparticle. The microparticles with diameter 2 µm may ensure 50% of an apparent activity decrease if half of peroxidase has been adsorbed. Further adsorption of peroxidase and aggregation of the microparticles increases the apparent inhibition.


1988 ◽  
Vol 20 (11-12) ◽  
pp. 167-173 ◽  
Author(s):  
S. E. Strand ◽  
R. M. Seamons ◽  
M. D. Bjelland ◽  
H. D. Stensel

The kinetics of methane-oxidizing bioreactors for the degradation of toxic organics are modeled. Calculations of the fluxes of methane and toxic chlorinated hydrocarbons were made using a biofilm model. The model simulated the effects of competition by toxics and mediane on their enzymatic oxidation by the methane monooxygenase. Dual-competitive-substrate/diffusion kinetics were used to model biofilm co-metabolism, integrating equations of the following form:where S1 and S2 are the local concentrations of methane and toxic compound, respectively, and r and K are the maximum uptake rates and Monod coefficients, and x is the distance into the biofilm.


1995 ◽  
Vol 31 (2) ◽  
pp. 235-243 ◽  
Author(s):  
Imre Takács ◽  
Ernö Fleit

Two common causes of filamentous bulking of activated sludge are low dissolved oxygen (DO) concentration and low food to microorganism (F/M) ratio in the activated sludge system. A dynamic mathematical model was developed to simulate the population dynamics of two groups of bacteria, floc-formers and filaments within the microenvironment of the activated sludge floc. An arbitrary grid of 50 by 50 elements was applied to a hypothetical floc of maximum 100 μm in diameter. The concentration of DO and soluble substrate was calculated inside the floc core under different bulk concentration conditions in order to simulate the effect of heterogeneous, gradient-governed microenvironments on dual species composition. Dynamic simulation runs were performed to calculate the growth of the two morphological types of microorganisms inside the floc under diffusion governed conditions. The results indicate that the method accurately predicts the onset of excessive filamentous growth (directly linked to bulking) even when traditional models neglecting diffusion limitation fail to do so. The positive feedback effect of the non-random (unidirectional) growth on the selective enrichment of filamentous organisms under electron acceptor (DO) or soluble substrate (F/M) limited conditions is demonstrated.


1995 ◽  
Vol 32 (8) ◽  
pp. 67-74 ◽  
Author(s):  
Satoshi Okabe ◽  
Kikuko Hirata ◽  
Yoshimasa Watanabe

Dynamic changes in spatial microbial distribution in mixed-population biofilms were experimentally determined using a microslicer technique and simulated by a biofilm accumulation model (BAM). Experimental results were compared with the model simulation. The biofilms cultured in partially submerged rotating biological contactors (RBC) with synthetic wastewater were used as test materials. Experimental results showed that an increase of substrate loading rate (i.e., organic carbon and NH4-N) resulted in the microbial stratification in the biofilms. Heterotrophs defeated nitrifiers and dominated in the outer biofilm, whereas nitrifiers were diluted out in the outer biofilm and forced into the inner biofilm. At higher organic loading rates, a stronger stratified microbial spatial distribution was observed, which imposed a severe internal oxygen diffusion limitation on nitrifiers and resulted in the deterioration of nitrification efficiency. Model simulations described a general trend of the stratified biofilm structure. However, the actual stratification was stronger than the simulated results. For implication in the reactor design, when the specific carbon loading rate exceeds a certain limit, nitrification will be deteriorated or require a long start-up period due to the interspecies competition resulting in oxygen diffusion limitation. The extend of microbial stratification in the biofilm is especially important for determination of feasibility of nitrification in the presence of organic matters.


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