New parameters controlling the effect of temperature on enzyme activity

2007 ◽  
Vol 35 (6) ◽  
pp. 1543-1546 ◽  
Author(s):  
R.M. Daniel ◽  
M.J. Danson ◽  
R. Eisenthal ◽  
C.K. Lee ◽  
M.E. Peterson

Arising from careful measurements of the thermal behaviour of enzymes, a new model, the Equilibrium Model, has been developed to explain more fully the effects of temperature on enzymes. The model describes the effect of temperature on enzyme activity in terms of a rapidly reversible active–inactive (but not denatured) transition, revealing an additional and reversible mechanism for enzyme activity loss in addition to irreversible thermal inactivation at high temperatures. Two new thermal parameters, Teq and ΔHeq, describe the active–inactive transition, and enable a complete description of the effect of temperature on enzyme activity. We describe here the Model and its fit to experimental data, methods for the determination of the Equilibrium Model parameters, and the implications of the Model for the environmental adaptation and evolution of enzymes, and for biotechnology.

2007 ◽  
Vol 402 (2) ◽  
pp. 331-337 ◽  
Author(s):  
Michelle E. Peterson ◽  
Roy M. Daniel ◽  
Michael J. Danson ◽  
Robert Eisenthal

Traditionally, the dependence of enzyme activity on temperature has been described by a model consisting of two processes: the catalytic reaction defined by ΔGDaggercat, and irreversible inactivation defined by ΔGDaggerinact. However, such a model does not account for the observed temperature-dependent behaviour of enzymes, and a new model has been developed and validated. This model (the Equilibrium Model) describes a new mechanism by which enzymes lose activity at high temperatures, by including an inactive form of the enzyme (Einact) that is in reversible equilibrium with the active form (Eact); it is the inactive form that undergoes irreversible thermal inactivation to the thermally denatured state. This equilibrium is described by an equilibrium constant whose temperature-dependence is characterized in terms of the enthalpy of the equilibrium, ΔHeq, and a new thermal parameter, Teq, which is the temperature at which the concentrations of Eact and Einact are equal; Teq may therefore be regarded as the thermal equivalent of Km. Characterization of an enzyme with respect to its temperature-dependent behaviour must therefore include a determination of these intrinsic properties. The Equilibrium Model has major implications for enzymology, biotechnology and understanding the evolution of enzymes. The present study presents a new direct data-fitting method based on fitting progress curves directly to the Equilibrium Model, and assesses the robustness of this procedure and the effect of assay data on the accurate determination of Teq and its associated parameters. It also describes simpler experimental methods for their determination than have been previously available, including those required for the application of the Equilibrium Model to non-ideal enzyme reactions.


2000 ◽  
Vol 66 (11) ◽  
pp. 4979-4987 ◽  
Author(s):  
S. Tienungoon ◽  
D. A. Ratkowsky ◽  
T. A. McMeekin ◽  
T. Ross

ABSTRACT Models describing the limits of growth of pathogens under multiple constraints will aid management of the safety of foods which are sporadically contaminated with pathogens and for which subsequent growth of the pathogen would significantly increase the risk of food-borne illness. We modeled the effects of temperature, water activity, pH, and lactic acid levels on the growth of two strains ofListeria monocytogenes in tryptone soya yeast extract broth. The results could be divided unambiguously into “growth is possible” or “growth is not possible” classes. We observed minor differences in growth characteristics of the two L. monocytogenes strains. The data follow a binomial probability distribution and may be modeled using logistic regression. The model used is derived from a growth rate model in a manner similar to that described in a previously published work (K. A. Presser, T. Ross, and D. A. Ratkowsky, Appl. Environ. Microbiol. 64:1773–1779, 1998). We used “nonlinear logistic regression” to estimate the model parameters and developed a relatively simple model that describes our experimental data well. The fitted equations also described well the growth limits of all strains of L. monocytogenesreported in the literature, except at temperatures beyond the limits of the experimental data used to develop the model (3 to 35°C). The models developed will improve the rigor of microbial food safety risk assessment and provide quantitative data in a concise form for the development of safer food products and processes.


2017 ◽  
Vol 231 (11-12) ◽  
Author(s):  
Humbul Suleman ◽  
Abdulhalim Shah Maulud ◽  
Zakaria Man

AbstractA computationally simple thermodynamic framework has been presented to correlate the vapour-liquid equilibria of carbon dioxide absorption in five representative types of alkanolamine mixtures. The proposed model is an extension of modified Kent Eisenberg model for the carbon dioxide loaded aqueous alkanolamine mixtures. The model parameters are regressed on a large experimental data pool of carbon dioxide solubility in aqueous alkanolamine mixtures. The model is applicable to a wide range of temperature (298–393 K), pressure (0.1–6000 kPa) and alkanolamine concentration (0.3–5 M). The correlated results are compared to the experimental values and found to be in good agreement with the average deviations ranging between 6% and 20%. The model results are comparable to other thermodynamic models.


1999 ◽  
Vol 36 (4) ◽  
pp. 754-759 ◽  
Author(s):  
DFE Stolle ◽  
P A Vermeer ◽  
P G Bonnier

A nonlinear theory of consolidation is presented which takes into account secondary compression. The theory is incorporated into a weak form of equilibrium that is suitable for a finite element procedure. The model is used to interpret Crawford's experimental data on Leda clay. Limitations of the model are discussed, and a few thoughts on the effects of temperature on the evaluation of model parameters are briefly presented.Key words: secondary compression, creep, one-dimensional consolidation, modelling.


1996 ◽  
Vol 118 (4) ◽  
pp. 280-284 ◽  
Author(s):  
Gregory D. Leece ◽  
Ibrahim Miskioglu ◽  
David A. Nelson

The effects of cycling frequency and temperature on the fatigue life of solder has been analyzed. Mechanical fatigue life experiments were conducted under load control while varying the temperature and cycling frequency. Using the experimental data, a fatigue model was formulated based on the Basquin and the Coffin-Manson relations, introducing the effects of temperature and frequency. The model parameters were obtained by a statistical method incorporating multiple linear regression. Using the model, estimated values of cycles to failure at each of the testing temperatures and frequency were calculated. Using the estimated values, an evaluation of each of the models was conducted, resulting in strong correlations between the model’s estimation and the experimental data.


2012 ◽  
Vol 45 (4) ◽  
pp. 627-643 ◽  
Author(s):  
T. Skippon ◽  
C. Mareau ◽  
M. R. Daymond

A genetic algorithm was implemented in order to optimize the selection of parameters within a polycrystalline plasticity model. Previously collected experimental data from tests performed on textured Zircaloy-2, consisting of macroscopic flow curves, lattice strains and Lankford coefficients, all measured in both tension and compression in three principle directions of a plate, were reproduced by the model. The results obtained were found to be comparable to prior attempts to optimize the model parameters manually.


It is now generally accepted that the equilibrium between oxygen (or carbon monoxide) and mammalian haemoglobin is expressible in terms of four intermediate reactions Hb 4 + O 2 ⇌ Hb 4 O 2 (equilibrium constant K 1 ), Hb 4 O 2 + O 2 ⇌ Hb 4 O 4 ( K 2 ), Hb 4 O 4 + O 2 ⇌ Hb 4 O 6 ( K 3 ) and Hb 4 O 6 + O 2 ⇌ Hb 4 O 6 ( K 4 ), as Adair first suggested about 30 years ago. Hitherto, experimental data on the oxyhaemoglobin dissociation curve have not been precise enough to permit the direct determination of the equilibrium constants, K 1 to K 4 , of the intermediate reactions. Recently, however, the accuracy of the observations at the top and at the bottom ends of the dissociation curve has been improved about 10-fold, i.e. to within ±0.05% saturation. From such measurements—together with 2- to 3-fold more accurate data over the main part of the curve—it has now proved possible to evaluate directly, by standard statistical procedure, the values of K 1 (± ca . 5%), K 2 ( ± ca . 25%), K 3 ( ± ca . 33%) and K 4 (± ca . 13.7%) for sheep haemoglobin solutions at alkaline pH (9.1). Unfortunately, it is not yet feasible to extend the attack fully to haemoglobin solutions at neutral pH, since the method for obtaining highly accurate data at the top of the dissociation curve breaks down at this pH. For 3 to 4% solutions of sheep haemoglobin at pH 9.1, K 1 , K 2 and K 3 are found to be of the same order, whereas K 4 is from 10 to 20 times greater, thus pointing to some marked internal change in the sheep haemoglobin molecule after three molecules of oxygen have combined therewith. From the effect of temperature on K 1 and K 4 , values are derived for the heats of all the intermediate reactions and for the entropies, Δ S 1 and Δ S 4 , of the first and last of the intermediate reactions. There are appreciable differences between the heats of the intermediate reactions, contrary to the old view that these heats are all equal. Preliminary, but very rough, data are also given on the effect of pH and dilution. In the discussion it is shown that the new and more accurate data on the dissociation curve are incompatible with previous special theories of the oxygen-haemoglobin equilibrium, which had been based on, and checked by, conventional but less accurate experimental data. Wyman’s recent symmetry theory is a striking example in the latter category and hence is given detailed consideration. The kinetic implications of the higher value of K 4 are briefly considered. It appears that the responsibility therefore is about equally borne by the relative increase in k' 4 , the velocity constant of the combination Hb 4 O 6 + O 2 → Hb 4 O 8 , and by the relative decrease in k 4 , the velocity constant of the dissociation Hb 4 O 8 → Hb 4 O 6 + O 2 .


Author(s):  
Nenad Stojkovic ◽  
Dragoslav Stojic ◽  
Srdjan Zivkovic ◽  
Gordana Toplicic-Curcic

Fatigue life prediction of structural elements subjected to cyclic loading is usually performed using S-N curves, obtained from the experimental data from fatigue tests. However, in some cases the samples do not exhibit failure, due to reaching the predetermined number of cycles, failure of a non-relevant segment or terminating the test because of some other reason. These samples are usually referred to as runouts, and the data obtained from them could be used for determination of S-N curves as well. In this paper, the algorithm based on Maximum Likelihood method is proposed for the determination of S-N curves from experimental data that contain runouts. Following the algorithm, a MATLAB code was written and the verification was performed using the experimental data from the literature. The results showed that it could be successfully used for taking into account the runouts in the process of determination of S-N model parameters. It was concluded that the inclusion of runouts could significantly influence the predicted fatigue life, especially at the lower stress levels.


1986 ◽  
Vol 32 (11) ◽  
pp. 2021-2025 ◽  
Author(s):  
M P Goren ◽  
J E Davis

Abstract We show that the rate-concentration curve is sigmoidal for enzyme-catalyzed procedures that are commonly applied to rapid automated analyzers. Linear data can be obtained by judicious selection of the reagent enzyme activity (Vm) and the measurement interval (t1 to t2). For determination of substrate concentrations much less than Km, conditions that balance linearity with sensitivity and accuracy are obtained when Vm/Km = [ln (t2/t1)]/(t2-t1). We also present theoretical and experimental data that show the linear range can be extended to concentrations exceeding the Km value. We illustrate the application of theoretically appropriate conditions by analysis of procedures reported to be optimized. Familiarity with these concepts can obviate laborious and potentially misleading experimentation.


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