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Mixtures computer manipulation

A principal components multivariate statistical approach (SIMCA) was evaluated and applied to interpretation of isomer specific analysis of polychlorinated biphenyls (PCBs) using both a microcomputer and a main frame computer. Capillary column gas chromatography was employed for separation and detection of 69 individual PCB isomers. Computer programs were written in AMSII MUMPS to provide a laboratory data base for data manipulation. This data base greatly assisted the analysts in calculating isomer concentrations and data management. Applications of SIMCA for quality control, classification, and estimation of the composition of multi-Aroclor mixtures are described for characterization and study of complex environmental residues. [Pg.195]

FT IR instruments can have very high resolution (<0.001 cm-1). Moreover since the data undergo ana-log-to-digital conversion, IR results are easily manipulated Results of several scans are combined to average out random absorption artifacts, and excellent spectra from very small samples can be obtained. An FT IR unit can therefore be used in conjunction with HPLC or GC. As with any computer-aided spectrometer, spectra of pure samples or solvents (stored in the computer) can be subtracted from mixtures. Flexibility in spectral printout is also available for example, spectra linear in either wavenumber or wavelength can be obtained from the same data set. [Pg.77]

Application of F.t.-i.r. spectroscopy to biological systems and carbohydrate mixtures or dilute solutions is of particular interest, because of the ease of analysis of data by use of such techniques as absorption subtraction or factor analysis. This is possible owing to the direct interfacing of the computer to the spectrometer, which allows arithmetic manipulation of the spectra in an imaginative way, as will be seen in the following Section. [Pg.58]

Barolo et al. (1998) developed a mathematical model of a pilot-plant MVC column. The model was validated using experimental data on a highly non-ideal mixture (ethanol-water). The pilot plant and some of the operating constraints are described in Table 4.13. The column is equipped with a steam-heated thermosiphon reboiler, and a water-cooled total condenser (with subcooling of the condensate). Electropneumatic valves are installed in the process and steam lines. All flows are measured on a volumetric basis the steam flow measurement is pressure- and temperature-compensated, so that a mass flow measurement is available indirectly. Temperature measurements from several trays along the column are also available. The plant is interfaced to a personal computer, which performs data acquisition and logging, control routine calculation, and direct valve manipulation. [Pg.99]

In a recent study, students manipulation of physical models was compared to their use of a technology-mediated modeling tool called Chemation [13]. The computer visuaUzation tool described in the study helped students to model dynamic aspects of microscopic representations, since it allowed a build-up of frame-by-frame animations. Students had access to a palette of 21 atoms they could manipulate electronically. Sections of the curriculum that were studied included properties of substances, pure substances and mixtures, chemical reactions. [Pg.266]

Continued advances in analytical instmmentation have resulted in improvements in characterization and quantification of chemical species. Many of these advances have resulted from the incorporation of computer technology to provide increased capabilities in data manipulation and allow for more sophisticated control of instmmental components and experimentation. The development of miniaturized electronic components built from nondestmctible materials has also played a role as has the advent of new detection devices such as sensors (qv). Analytical instmmentation capabiHtieSj especially within complex mixtures, are expected to continue to grow into the twenty-first century. [Pg.396]

Controlling the internal vapor flow to the section above the side draw Reboiler heat duty is measured and divided by the latent heat of the boiling mixture the measured side product flow is subtracted from the quotient to give the internal vapor rate in the section above the side draw. In a steam (or condensing vapor) reboiler, the internal vapor rate is computed as a constant times the measured steam rate less the measured side product flow, with the constant equal to the ratio of the latent heat of steam to that of the boiling mixture. An internal vapor controller (IVC) uses this computed internal vapor to manipulate product flow (Fig. 19.76). A limitation of this technique is that internal vapor is computed as a small difference between two large numbers and can therefore be in error. The error escalates as the internal vapor rate becomes a smaller fraction of the total vapor traffic below the side draw. [Pg.592]

Application. Both the Tomich and the 2iV Newton-Raphson methods are proven methods and have been applied often. The Tomich method was part of the GMB system of The Badger Company, Cambric, Massachusetts, and is in many in-house simulators. Both methods are best for wide- or middle-boiling s iarations. Because one of the equations in the 2N Newton-R hson method is a dew- or bubble-point equation, it may work better for middle or more narrow-boiling mixtures than the Tomich method. Both methods have also been eq>plied to absorber-strippers, thou an SR method is still the best method for the most wide-boiling absorber-strippers. Because of the full Jacobian more numbers to manipulate), for columns over 50 stages these methods will use excessive computer time and memoiy. Also, the solution of the Jacobian is prone to failure when the number of stages is high, and so these methods are not recommended for tall columns. [Pg.165]


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See also in sourсe #XX -- [ Pg.463 , Pg.499 , Pg.503 ]




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