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Progress variable intensive

In order to facilitate the calculation of the composition of the reaction mixture at equilibrium, it is convenient to introduce an intensive progress variable defined by the relation... [Pg.112]

The utilization of IR spectroscopy is very important in the characterization of pseudopolymorphic systems, especially hydrates. It has been used to study the pseudopolymorphic systems SQ-33600 [36], mefloquine hydrochloride [37], ranitidine HC1 [38], carbovir [39], and paroxetine hydrochloride [40]. In the case of SQ-33600 [36], humidity-dependent changes in the crystal properties of the disodium salt of this new HMG-CoA reductase inhibitor were characterized by a combination of physical analytical techniques. Three crystalline solid hydrates were identified, each having a definite stability over a range of humidity. Diffuse reflectance IR spectra were acquired on SQ-33600 material exposed to different relative humidity (RH) conditions. A sharp absorption band at 3640 cm-1 was indicative of the OH stretching mode associated with either strongly bound or crystalline water (Fig. 5A). The sharpness of the band is evidence of a bound species even at the lowest levels of moisture content. The bound nature of this water contained in low-moisture samples was confirmed by variable-temperature (VT) diffuse reflectance studies. As shown in Fig. 5B, the 3640 cm-1 peak progressively decreased in intensity upon thermal... [Pg.74]

The frequency and duration of measurement are important factors source contributions at a fixed station are often short-term and to measure their variability requires sampling times of the same order as that variation. Twenty-four hour sampling is considered minimal, and shorter term sampling is often desirable, particularly when periods of constant wind direction are required. Measurements are needed to extrapolate to annual average conditions however, it is not necessary to sample daily to achieve this. It is important to obtain information on both intense pollution conditions (episodes) and relatively clean conditions. Thus, more samples than needed should be taken with a subset chosen for detailed analysis based on meteorological or other factors. Samples should be taken every day over selected seasonal periods rather than one per third or sixth day to capture the progression effect of multiday events. [Pg.98]

With regard to process validation, it is essential to note that when the chamber pressure is controlled, the resultant supply of heat to the product and the progress of lyophilization depends on the combined effects of two intensive independent variables temperature and pressure. This is in contrast with the maximum vacuum process whereby shelf temperature is the only controllable intensive variable. [Pg.381]

Figure 13. Observation of unstable intermediates in the coherent photodissociation of ICN. The excitation pulse is absorbed into the Vj potential which is unstable with respect to dissociation as indicated on the right. Coherent motion along Vj (R) is monitored by absorption of variably delayed, tunable probe pulses into Vj(R). The excited-state absorption progressively red shifts as indicated on the right and by the data on the left. The data show that absorption intensity shifts from 390SA to 3895A to 3889A as dissociation occurs. Reprinted with permission from reference 90. Figure 13. Observation of unstable intermediates in the coherent photodissociation of ICN. The excitation pulse is absorbed into the Vj potential which is unstable with respect to dissociation as indicated on the right. Coherent motion along Vj (R) is monitored by absorption of variably delayed, tunable probe pulses into Vj(R). The excited-state absorption progressively red shifts as indicated on the right and by the data on the left. The data show that absorption intensity shifts from 390SA to 3895A to 3889A as dissociation occurs. Reprinted with permission from reference 90.
Because the total number of iterations is the product of the variability and uncertainty iterations, a 2D Monte-Carlo procedure is very calculation intensive. Even with longer calculation times, fewer iterations will generally be performed for each dimension than for a ID simulation - with a concomitant decrease in the reliability of the estimates at the tails. The results of a 2D simulation will be a 2D array, rather than a ID array. In order to reduce the number of values that need to be stored, it may be desirable to calculate summary statistics for each variability distribution as the simulation progresses. [Pg.1174]

The two early types of MCRs remained separate entities for a whole century [7,8], but in January 1959 [11] they were combined [12] and became the U-4CR (U = Ugi) [2-4,8]. This soon also included the libraries of combinatorial chemistry [8,13a]. The educts and products of the U-4CR and its unions with other chemical reactions are by many orders of magnitude more variable than those of any other chemical reactions, and even of the entire spectrum of other MCRs. Under suitable reaction conditions, the U-4CR may produce almost quantitative yields of pure product, and with minimal preparative work [4,8,10]. Nevertheless, this profound preparative progress was of no general chemical interest until early 1995 [2-5,14], when almost overnight the one-pot MCR chemistry of the isocyanides and their libraries became one of the most intensely used areas of industrial chemical research. The technique is used not only to find new chemical products, but also to produce them far more conveniently and in higher yields than might other multistep syntheses. [Pg.125]


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