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Operational parameters, definitions

The Hu and Bentley model is the only one that tries to describe VLP production and assembling in baculovirus infected insect cells [105]. Nevertheless, regarding VLP assembly, the formalism presented is completely theoretical and based on the assembly pathway of icosahedral viruses. From a process development point of view, this model does not generate enough output to make it applicable to bioreaction operational parameters definition. However, it can be used as the basis for a more structured approach to the VLP assembling process in baculovirus infected insect cells. [Pg.203]

The preceding definitions of economic potential and total annual cost can be simplified if it is accepted that they will be used to compare the relative merits of difierent structural options in the flowsheet and difierent settings of the operating parameters. Thus items which will be common to the options being compared can be neglected. [Pg.407]

Mole balance expressions were developed for a general series reaction by Agarwalla and Lund [16], and the same procedures were used here to develop the species balance equations shown in Table I. Boundary conditions and parameter definitions are presented in Tables II and III. Note that the boundary conditions are given only for co-current flow of reactants and inert, which is the only configuration studied. Previous work [16], has shown that counter-current operation is less effective than co-current operation. [Pg.430]

Nearly all ozonation effects and their respective extent and kinetic pattern depend on the amount of ozone consumed in the ozone contactor and subsequent reactors. This requires the search for and definition of optimal operational parameters for an ozonation stage, such as a concentration-time-value (c-f-value) for a given degree of disinfection or the ratio of ozone mass consumed per mass of organic compounds initially present. [Pg.21]

The following are some definitions and guidelines developed by the Center for Chemical Process Safety (CCPS) for Critical Operating Parameters. [Pg.211]

ASE was introduced in 1999 [118]. All basic operational parameters (time, temperature, pressure, solvent removal) are computer controlled to provide high reproducibility. However, ASE has not displaced the traditional method, as the recommended high pressure (3-21 MPa) and temperature (150-200°C) easily achievable by ASE for As-extraction [119], did not significantly contribute to higher extraction efficiency [118]. Moreover, ASE achieved adequate extraction efficiency mostly when the temperature was over 100°C, this definitely leading to the variation of the As(III) As(V) ratio in the sample [120]. It is noteworthy that, for some CRMs, ASE provided results comparable with the traditional extraction techniques as regards the major As species, AB and dimethylarsinic acid (DMA), although with some substantial method constraints [117],... [Pg.625]

The preparation of any pharmaceutical product requires controls over the production operations to assure the end result is a product that meets the required quality attributes. The methods utilized for this control are supported by formalized validation studies in which proof of consistency is demonstrated by appropriately designed experiments. The definition of appropriate operating parameters is the primary objective of the development activities and is further confirmed during scale-up to commercial operations. The validation supports that the routine controls applied to the process are appropriate to assure product quality [36], This is typically accomplished in formalized validation activities in which expanded sampling/testing of the product materials is performed to substantiate their uniformity and suitability for use [30],... [Pg.129]

Robustness tests examine the effect that operational parameters have on the analysis results. The following definition of Robustness is taken from the ICH glossary [34] ... [Pg.487]

Note These parameter definitions hold for the semibatch operations with Ug = 0 and V, = Vg. [Pg.87]

The first step in the evaluation process is to define and document the current system use and user requirement specifications. If the system will be changed in the foreseeable future, any resulting changes in the intended use of the system should be described as well. The definition should include a list of system functions, operational parameters and performance limits. For chromatography software required functions may include instrument control, data acquisition, peak integration through quantitation, file storage and retrieval and print-out of methods and data. If the system also includes spectrophotometric detectors, the functions for spectral evaluation should be specified as well. Table 2 lists items that should be included in the system documentation. [Pg.52]

Table 4.2 Variable Parameter Definitions, Initialization and Operators. Table 4.2 Variable Parameter Definitions, Initialization and Operators.
The operators and arguments loto and tdl times corresponds to the expressions used in the pulse sequence language described in section 4.1.2.3. Table 4.2 summarizes the parameter definition, initialisation and variable parameter operators. [Pg.118]

Problem definition. Firstly the key components are identified. These are products, sub-products and intermediates, as well as impurities with significant effect on product quality and operation. Then the impurities are traced by means of tables containing sources, sinks, exit streams, transit units and process streams. Formation and depletion of impurities must be supported by a consistent stoichiometry. Then an operating window is defined in terms of production rate, operation parameters and technological constraints. In principle, this step may identify a number of flowsheet alternatives, but supplementary alternatives may arise during the application of the procedure. [Pg.658]

Aside from the general formula, numerous data on dryer cost dependence on evaporation capacity exist in literature for the given dryers and definite operating parameters [20,28,29]. For example, cost of a spray dryer with a pressure nozzle atomizer, residence time of 16 s, inlet- and outlet-air temperature of 538°C and 121°C, respectively, can be calculated as [28] ... [Pg.1293]

The combinatorial number of possible separation sequences for multicomponent mixtures is considerably large and calls for the definition of heuristics and thermodynamic guidelines based on ROMs to find convenient initial designs. Furthermore, operational issues should be addressed in terms of, for instance, predicting the controllability of the sequence and defining feasible operational parameters e.g. reflux ratios). [Pg.104]

Predictiveness refers to the fact that during the corrosion test aU operative parameters must be controUed at levels prevailing in the field. Even if relevancy has been adhered to under the above definition, the test results may not be predictive unless the test parameters rnirror field conditions. In the past 20 years major problems arose because inhibitors tested in the laboratory under some flow conditions failed in the field at the predicted concentrations because the field flow conditions were not properly assessed and duplicated in the laboratory. [Pg.482]

V c.in Pf c,in c.fn representing the respective influences of geometry and operating parameters. With the definition of the surfaee mean diameter, Eq. (35) can be written as... [Pg.237]

There are several procedures that can be utilized to evaluate and implement at-line and online measurements. One of the more common NIR analysis processes consists of three phases — bench-top unit evaluation, pilot plant or laboratory evaluation of the at-line/on-line instrumentation, and manufacturing area evaluation. The Bench-Top phase establishes the method definition and analysis potential. The Pilot Plant phase verifies the method and instrumentation for the analysis under consideration, determines the optimum sampling system, and identifies operational parameters and concerns. The Manufacturing area phase optimizes data treatment, optimizes operational and instrumental parameters, and proceeds with method implementation. [Pg.512]


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