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Biological dynamic method

Figure 4.12 Typical dissolved oxygen concentration variation with time for the biological dynamic method. Adapted from Blanch and Clark (1997). Figure 4.12 Typical dissolved oxygen concentration variation with time for the biological dynamic method. Adapted from Blanch and Clark (1997).
Blanch and Clark (1997) reported that the biological dynamic method is commonly used in both large- and small-scale equipment, primarily due to the fact that sterilizable oxygen probes permit the finding of k a during fermentation without significantly upsetting the system. [Pg.51]

Without cell respiration, the overall mass balance for the biological dynamic method simplifies from Eq. (4.30) to Eq. (4.28). The volumetric mass transfer coefficient ki a is then evaluated by integrating Eq. (4.28) and plotting ln[(C - Cl)/(C - C )] as a function of time, where kj a is the slope of the resulting line, or by curve fitting the data with a nonlinear regression software package. [Pg.51]

One of the main attractions of normal mode analysis is that the results are easily visualized. One can sort the modes in tenns of their contributions to the total MSF and concentrate on only those with the largest contributions. Each individual mode can be visualized as a collective motion that is certainly easier to interpret than the welter of information generated by a molecular dynamics trajectory. Figure 4 shows the first two normal modes of human lysozyme analyzed for their dynamic domains and hinge axes, showing how clean the results can sometimes be. However, recent analytical tools for molecular dynamics trajectories, such as the principal component analysis or essential dynamics method [25,62-64], promise also to provide equally clean, and perhaps more realistic, visualizations. That said, molecular dynamics is also limited in that many of the functional motions in biological molecules occur in time scales well beyond what is currently possible to simulate. [Pg.165]

In many chemical and even biological systems the use of an ab initio quantum dynamics method is either advantageous or mandatory. In particular, photochemical reactions may be most amenable to these methods because the dynamics of interest is often completed on a short (subpicosecond) timescale. The AIMS method has been developed to enable a realistic modeling of photochemical reactions, and in this review we have tried to provide a concise description of the method. We have highlighted (a) the obstacles that should be overcome whenever an ab initio quantum chemistry method is coupled to a quantum propagation method, (b) the wavefunction ansatz and fundamental... [Pg.501]

Oberson, A., Fardeau, J.C., Besson, J.M. and Sticher, H. 1993. Soil phosphorus dynamics in cropping systems managed according to conventional and biological agricultural methods. Biology and Fertility of Soils 16 111-117. [Pg.48]

The SACD method is used for different purposes. The most popular goals deal with the evaluation of skin scaliness and internal cohesiveness of the superficial SC. For several years, the challenge of analytical evaluations of SACD allowed exploring various aspects of the structure and biological dynamics of the SC. [Pg.466]

The problems being addressed in recent work carried out in various laboratories include the fundamental nature of the solute-water intermolecular forces, the aqueous hydration of biological molecules, the effect of solvent on biomolecular conformational equilibria, the effect of biomolecule - water interactions on the dynamics of the waters of hydration, and the effect of desolvation on biomolecular association 17]. The advent of present generation computers have allowed the study of the structure and statistical thermodynamics of the solute in these systems at new levels of rigor. Two methods of computer simulation have been used to achieve this fundamental level of inquiry, the Monte Carlo and the molecular dynamics methods. [Pg.184]

In ASTM F78-98 Standard Practice for Selecting Generic Biological Tests Methods for Materials and Devices , the selection test methods to evaluate medical devices is described. Regarding hemocompatibility tests for blood compatibility, hemolysis, and complement activation are described. Under blood compatibility, hemolysis and thrombosis are described as the most obvious examples of incompatibility with blood. It is suggested that thrombogenicity (formation of thromboemboli or platelet activation) be tested under dynamic conditions that simulate in the use procedures for the device. Complement activation is of concern in some cases and should be tested in vitro by assessing the status of various complement components. However, complement activation will probably not represent the only portion of the inflammatory response stimulated by medical devices. [Pg.1309]

James P. Lewis, Pablo Ordejon, and Otto F. Sankar, Electric-structure-based molecular-dynamics method for large biological systems Application to the 10 basepair poly(dG) poly(dC) DNA double helix. Physical Review B, 55, 6880-6887 (1997). [Pg.319]

Even within the group of dynamic methods, one can find in the recent literature entirely different hydration numbers, for instance, those presented in Table 12.2 for biologically important ions [157]. Surprisingly, the fundamental Stokes-Einstein relationship between the hydrodynamic radius and the diffusion coefficient of the ion is being used in several different manners in the calculation of the effective hydrated radius of an ion (compare [158] and [159]). [Pg.458]

This section covers ab initio and density functional theory (DFT), semi-empirical and empirical, and molecular mechanics and molecular dynamics methods. For gas-phase structure determinations, a refinement to the use of ab initio calculations the SARACEN (Structure Analysis Restrained by Ab initio Calculations for Electron diffractioN) method, and other relevant theoretical and computational chemistry techniques, including quantitative structure-activity/property relationship (QSAR/QSPR) models for prediction of biological activity and physicochemical properties, are also covered. [Pg.356]

For example motion, turn over motion of a starfish was selected to study motion control of deformable robots, because it is a dynamic motion, which is driven by synchronized neuron ring[208]. One of the problems of deformable robots is that motion control is difficult because whose bodies have virtually infinite degrees of freedom. Motion generation of gel robots is not a simple problem if we formulate it in an ordinary maimer. Learning fi om real starfishes and other works, there should exist an alternative methodology. In this section, biologically inspired method to drive deformable robots is proposed. The assumption is that only one or a few points are controlled by whole parts of the robot, which work cooperatively. [Pg.177]

Molecular simulations of ionomer systems that employ classical force fields to describe interactions between atomic and molecular species are more flexible in terms of system size and simulation time but they must fulfill a number of other requirements they should account for sufficient details of the chemical ionomer architecture and accurately represent molecular interactions. Moreover, they should be consistent with basic polymer properties like persistence length, aggregation or phase separation behavior, ion distributions around fibrils or bundles of hydrophobic backbones, polymer elastic properties, and microscopic swelling. They should provide insights on transport properties at relevant time and length scales. Classical all-atom molecular dynamics methods are routinely applied to model equilibrium fluctuations in biological systems and condensed matter on length scales of tens of nanometers and timescales of 100 ns. [Pg.85]


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