Big Chemical Encyclopedia

Chemical substances, components, reactions, process design ...

Articles Figures Tables About

Experimental validation

For higher-order reactions, the fluid-element concentrations no longer obey (1.9). Additional terms must be added to (1.9) in order to account for micromixing (i.e., local fluid-element interactions due to molecular diffusion). For the poorly micromixed PFR and the poorly micromixed CSTR, extensions of (1.9) can be employed with (1.14) to predict the outlet concentrations in the framework of RTD theory. For non-ideal reactors, extensions of RTD theory to model micromixing have been proposed in the CRE literature. (We will review some of these micromixing models below.) However, due to the non-uniqueness between a fluid element s concentrations and its age, micromixing models based on RTD theory are generally ad hoc and difficult to validate experimentally. [Pg.29]

In 1969 Calvin [64] proposed a scheme for autocatalytic symmetry breaking, which he called stereospecific autocatalysis . Calvin s mechanism has been validated experimentally in the context of the total spontaneous resolution during the crystallization of racemic mixtures. During crystallization, crystals of one enantiomer may spontaneously separate, leaving the other enantiomer in solution. If the possibility of the equilibration of the enantiomers in solution exists and if the enantiomer in solution can convert rapidly to the enantiomer that is crystallizing before crystallization is complete, then the entire racemate may deposit as a single enantiomer. At least half a dozen examples of Calvin s stereospecific autocatalysis involving such... [Pg.183]

It is important to note that none of the compounds identified in external databases as potent anticonvulsants and validated experimentally belongs to the same class of FAA molecules as the training set. This observation is very stimulating because it underscores the power of our methodology to identify potent anticonvulsants of novel chemical classes as compared to the training set compounds, which is one of the most important goals of virtual screening. [Pg.448]

Retrospective validation involves using the accumulated in-process production and final product testing and control (numerical) data to establish that the product and its manufacturing process are in a state of control. Valid in-process results should be consistent with the drug products final specifications and should be derived from previous acceptable process average and process variability estimates, where possible, and determined by the application of suitable statistical procedures, that is, quality control charting, where appropriate. The retrospective validation option is selected when manufacturing processes for established products are considered to be stable and when, on the basis of economic considerations and resource limitations, prospective qualification and validation experimentation cannot be justified. [Pg.39]

Factor Valid experimental results from studies on prolonged human ingestion with no indication of carcinogenicity. [Pg.681]

Because of non-adherence of the site sorption mode to a strict Langmuir mechanism, as noted previously, Eq. (18), as well as Eqs. (20) or (20 a), must, at the quantitative level, be validated experimentally. This can be done most conveniently by varying the partial pressure of one component at various constant partial pressures of the other. Sorption data of this type have recently been reported for PMMA-C02, C2H4 at 35 °C69 70). As shown in Fig. 7, the agreement between experiment and calculation from the pure component isotherms, though not perfect, is nevertheless quite impressive. [Pg.108]

Although at first sight the notion may seem plausible enough, and obviates the difficulty which some feel of an imtial termolecular reaction, I venture to think that it is not merely unsupported by any valid experimental evidence but contrary to much that has been established. [Pg.8]

The second stage is the proof of principle In this phase, we take the initial theoretical library idea and begin to apply chemistry experiments to validate experimental designs and potential library schemes at this stage, one also evaluates the method of library production (solid/solution/hybrid phases). In this phase, which is usually the longest phase in any library production process, we will perform the initial experiments, optimize the chemical yields and purities, modify the experiments to generate easily removable by-products, which can be removed by traditional parallel purification methods (i.e. SPE, Resin capture), and determine the most feasible route to the final product. [Pg.224]

The relatively simple two-enzymes/two-compartments model is thus represented in (4.101) via the above set of eight coupled ordinary nonlinear differential equations (4.103) to (4.106). This system of IVPs has the eight state variables hj(t), sy(t), S2j(t), ssj(t) for j = 1,2 that depend on the time t. The normalized reaction rates rj t) are given in equations (4.107) and (4.108). The system has 26 parameters that describe the dynamics for all compounds considered in the two compartments. A specific list of validated experimental parameter values follows in Section 4.4.5. [Pg.231]

Criteria for Chemically Reacting Systems, in Dynamics and Modeling of Reactive Systems, Stewart et al. (eds.), Academic Press, 1980], Schmitz [Adv. Chem. Ser., 148 156, ACS (1975)], and Razon and Schmitz [Chem. Eng. Sci., 42 (1987)]. However, many of these criteria for specific reaction and reactor systems have not been validated experimentally. [Pg.12]

The importance of the work function and temperature of the surface, the ionization potential for positive ion emission, and the electron affinity for negative ion emission are well established for conditions in which the S-L equations are valid. Experimentally, the IP and EA are also important for thermal emitters. For example, the alkali metals all have low IPs and are emitted in good yields from the zeolites impregnated with the corresponding alkali metal. The halide and perrhenate anions all have high EAs and are emitted in good yield from certain of the rare earth oxides. The temperature is also quite important, but possibly not for the same reasons as for the S-L conditions. Under S-L conditions a higher temperature is more likely to strip an electron or to add an electron to an atom. [Pg.253]

The objective of the experiments is to compare the affinity of wild-type antibody and wild-type immunogen (chicken lysozyme) with that of wild-type antibody and mutant antigen or with that of mutant antibody and wild-type immunogen. All the assays involve incubation of a constant concentration of one reactant with varying amounts of the complementary reactant, along with estimating the concentration of either bound or free reactant by an immunochemical or enzymatic method. In each case, the assumption is made that the measurement step does not disturb the equilibrium between antigen and antibody, and it is important that this assumption be validated experimentally. We summarize below several alternative methods. [Pg.507]

Now the last and most important steps to validate experimentally our hypothesis can be performed erase and rewrite the chiral information using solutions of the amino acid-free chiral porphyrin assemblies. [Pg.162]

One of the first models available is that proposed in a paper by Williams [1], from which several other studies have been initiated. This model has been challenged in a paper by Zanichelli et al. [2]. These authors have presented a detailed study of the first moments of the impact testing event and proposed a model that is based on experimental evidence that shows that i) at the beginning the tested specimen does not interact with the support, ii) the mass initially involved is not the equivalent total mass of the specimen but only a part of it initially in contact with the striker, and iii) the stiffness that really plays a role at the beginning is a local one also related to the contact area. Later, Marur et al. [3], using auxiliary measurements, have validated experimentally a complete model similar to those proposed by the authors mentioned before. More recently, Pavan and Draghi [4] have developed a more complete model than the ones already available and verified it for the case in which the specimen is tested without using supports. [Pg.266]


See other pages where Experimental validation is mentioned: [Pg.340]    [Pg.111]    [Pg.222]    [Pg.174]    [Pg.138]    [Pg.143]    [Pg.132]    [Pg.124]    [Pg.296]    [Pg.25]    [Pg.18]    [Pg.543]    [Pg.3]    [Pg.494]    [Pg.19]    [Pg.274]    [Pg.1244]    [Pg.37]    [Pg.111]    [Pg.313]    [Pg.6]    [Pg.223]    [Pg.165]    [Pg.16]    [Pg.237]    [Pg.303]    [Pg.305]    [Pg.373]    [Pg.359]    [Pg.482]    [Pg.189]    [Pg.83]    [Pg.415]    [Pg.742]    [Pg.772]    [Pg.32]   
See also in sourсe #XX -- [ Pg.265 ]




SEARCH



Validation experimentation

© 2024 chempedia.info