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Impurity concentration measurements

It is important to note that, in typical practical situations in which cost constraints play an important role, impurity-concentration measurements are available for only a few units (and, more often than not, just for a single unit). Thus, a model of the evolution of the total impurity inventory (such as those developed in the examples above, i.e., Equations (4.43) and (4.45)) is not well suited for controller design. Rather, an appropriate coordinate change of the type in Equation (4.33) should be used to obtain a model of the evolution of the measured concentration variable in the slow time scale. An example of this approach is presented in the case study following this section. [Pg.84]

Asay and Gupta [25] measure elastic precursor amplitudes as functions of propagation distance for two different divalent impurity concentrations in <100)-loaded LiF. It is shown that not only does the presence of divalent ions affect the precursor amplitude, but also that the state of the dispersion plays an important part. It is concluded that, for a given concentration of defects, the rate of precursor attenuation is reduced if the defects are clustered. [Pg.228]

Three common uses of RBS analysis exist quantitative depth profiling, areal concentration measurements (atoms/cm ), and crystal quality and impurity lattice site analysis. Its primary application is quantitative depth profiling of semiconductor thin films and multilayered structures. It is also used to measure contaminants and to study crystal structures, also primarily in semiconductor materials. Other applications include depth profilii of polymers, high-T superconductors, optical coatings, and catalyst particles. ... [Pg.477]

Table 4.12. Accepted and Target Impurity Concentrations (Target Concentrations for Impurities, Under Assumption of the Regression Line in Fig. 4.7 (B a = 0.92, b = -0.743, m = 1) If the LOQ of the Method were 0.03%, the Target Concentration in the Last Line (0.011) Would he Inaccessible to Measurement ... Table 4.12. Accepted and Target Impurity Concentrations (Target Concentrations for Impurities, Under Assumption of the Regression Line in Fig. 4.7 (B a = 0.92, b = -0.743, m = 1) If the LOQ of the Method were 0.03%, the Target Concentration in the Last Line (0.011) Would he Inaccessible to Measurement ...
Possible dangerous increase in NH3 concentration measure and log pressure differential Impurities, possible poisoning of catalyst proper maintenance... [Pg.387]

The selectivity here is directly proportional to complex formation constants and can be estimated, once the latter are known. Several methods are now available for determination of the complex formation constants and stoichiometry factors in solvent polymeric membranes, and probably the most elegant one is the so-called sandwich membrane method [31], Two membrane segments of different known compositions are placed into contact, which leads to a concentration polarized sensing membrane, which is measured by means of potentiometry. The power of this method is not limited to complex formation studies, but also allows one to quantify ion pairing, diffusion, and coextraction processes as well as estimation of ionic membrane impurity concentrations. [Pg.106]

MS has recently been used to measure compounds with significant levels of impurities and solubilities below the quantitation limits of other methods. Guo et al.46 described the use of LC/MS for solubility measurements in buffer solutions in a 96-well plate. Fligge et al.47 discussed an automated high-throughput method for classification of compound solubility. They integrated a Tecan robotic system for sample preparation in 384-well plates and fast LC/MS for concentration measurement. This approach is limited by LC/MS throughput. [Pg.239]

Figure 13. Changes in 6 Fe values of HPS Fe standard as a function of contaminate elements Al, Mg, or La (12.5 to 75 ppb). All solutions were 400 2 ppb Fe. The Fe isotope compositions of the solutions are shifted from those in the pure Fe standard (6 Fe = +0.49 0.05%o) as a function of the impurity concentration. The magnitude of the this shift with impurity concentration is variable, as shown by data collected during three analytical sessions (parts A, B, and C). These impurity matrix elements do not produce molecular isobars, as evidenced by the fact that 5 Fe and 5 Fe values plot along a mass-dependent array (part D). Note that an important conclusion of these tests is that accuracy of Fe isotope measurements cannot be demonstrated by preservation of mass-dependent trends in Fe/ Fe and Fe/ Fe. Data were collected using the Univ. of Wisconsin-Madison Micromass IsoProbe. Figure 13. Changes in 6 Fe values of HPS Fe standard as a function of contaminate elements Al, Mg, or La (12.5 to 75 ppb). All solutions were 400 2 ppb Fe. The Fe isotope compositions of the solutions are shifted from those in the pure Fe standard (6 Fe = +0.49 0.05%o) as a function of the impurity concentration. The magnitude of the this shift with impurity concentration is variable, as shown by data collected during three analytical sessions (parts A, B, and C). These impurity matrix elements do not produce molecular isobars, as evidenced by the fact that 5 Fe and 5 Fe values plot along a mass-dependent array (part D). Note that an important conclusion of these tests is that accuracy of Fe isotope measurements cannot be demonstrated by preservation of mass-dependent trends in Fe/ Fe and Fe/ Fe. Data were collected using the Univ. of Wisconsin-Madison Micromass IsoProbe.
Aim of the directed crystallization is in most cases to reach a crystal coat of highest possible purity. The most used measure to qualify the purification effect of the crystallization is the effective distribution coefficient k ff. For the case of crystallization processes in which the concentration of the feed remains constant the effective distribution coefficient is defined as the ratio of the impurity concentration in the crystal product C to the impurity concentration in the feed cq ... [Pg.213]

Although there are many features common to synthetic oxides and minerals, fundamental studies of the charge-transfer processes in mixed-valence compounds can only be systematically carried out on synthetic oxides of controlled stoichiometry and impurity concentration. However, with the exception of Seebeck coefficients, transport measurements require single-crystal data if quantitative interpretations are to be made. Nevertheless, conductivity data for polycrystalline samples of cubic phases are useful if the samples are dense and care has been taken to eliminate any segregation of impurities into the grain boundaries. [Pg.9]

In Part II we discussed how to measure the electrical parameters n and pn (and/or p and pp), namely, by means of the conductivity and Hall coefficient. Now we must ask how these parameters relate to the more fundamental quantities of interest, such as impurity concentrations and impurity activation energies. Much can be learned from a consideration of thermal excitation processes only, i.e., processes in which the only variable parameter is temperature. Thus, we are specifically excluding cases involving electron or hole injection by high electric fields or by light. We are also excluding systems that have been perturbed from their thermal equilibrium state and have not yet had sufficient time to return. Some of these nonequilibrium situations will be considered in Part IV. [Pg.86]

A nonelectronic method of measuring impurity concentrations is that of absorption spectroscopy. From Eq. (36a) it is seen that ani = avnini0, where a i is the absorption constant due to electronic transitions from level i to the conduction band. The total impurity concentration Nt can be related to ni0 by a knowledge of EF. The photon-capture cross section doping experiments or by independently measuring Nt in some sample. This process has been carried out for Cr impurity (Martin, 1979) as well as (EL2) (Martin, 1981) in GaAs. The same considerations hold for photoconductivity measurements, except that t also needs to be known, as seen from Eq. (35). [Pg.125]

There is one other means of determining lifetime, available if both photo-Hall (PH) and absorption experiments can be carried out. This possibility is simply illustrated by Eq. (35). Here the PH measurement gives An, the absorption measurement gives ocB, and f0 can be easily measured with a calibrated light detector. An obvious caveat here, of course, is that we must assume that a = aB, i.e., that all of the light absorption is due to electronic transitions. For above-band-gap light this assumption will almost certainly be true. It was seen before that absorption measurements can be useful in determining impurity concentrations. Thus, a combination of PH and absorption data may yield both N and rB. If the carrier mobility can... [Pg.126]

Now I would like to turn to some of the issues of operations within the manufacturing process itself and speak to certain process controls that are expected. In a chemical synthesis sequence, as I mentioned above, intermediates will need to be fully characterized. That characterization will then lead to a set of specifications for the intermediate, that is, its level of purity, its form, etc. Test procedures that demonstrate that the intermediate meets specifications must be established. Some intermediates are deemed to be more important than others and are given specific designation, such as pivotal, key, and final intermediates. In those cases, it is necessary to demonstrate that the specific and appropriate structure is obtained from the chemical reaction and that the yield of the intermediate is documented and meets the expected yield to demonstrate process reproducibility and control. Purity of the substance is to be appropriately documented. And, finally, in reactions which produce pivotal, key, and final intermediates, side products or undesirable impurities are identified and their concentrations measured and reduced by appropriate purification procedures so that the intermediate meets in-process specifications. Thus, those important intermediates become focuses of the process to demonstrate that the process is "under control" and functioning in a reproducible and expected manner. All of these activities ultimately are designed to lead to the production of the actual active ingredient which is referred to then as a "bulk pharmaceutical agent." That final product will need to be completely characterized which then will document that it meets a set of specifications ("Final Product Specifications") for qualification as suitable for pharmaceutical use. [Pg.263]

The three quality specifications regarding the impurities in EDC, available by direct concentration measurements, such as by IR spectroscopy or online chromatography, are the outputs of the plantwide control problem. The degrees of freedom indicate as first choice manipulated variables belonging to the large column S2 D2-distillate flow rate, SS2-side-stream flow rate, and Q2-reboiler duty. We may also consider manipulated variables belonging to the small column... [Pg.227]

The Hall effect provides a measure of the net carrier concentration of the dopants. Depending on the depth of the dopants, the activation of the impurity can be very much reduced. For example, Mg in GaN forms a level at 250 meV above the valence band, and the percentage of activation of the magnesium atoms at room temperature is about 1%. DLTS provides a measure of the deep states within the bandgap of the semiconductor. However, it only provides the activation energy and the impurity concentration, and it does not give the exact nature of the impurity concerned. Implantation experiments are required to correlate known impurities with the energy levels measured by DLTS. [Pg.338]

The Situation in Doped Semiconductors. There is an increasing belief amongst workers in the field that the M-NM transition is continuous, based on experimental measurements carried out at low temperatures down to 3 mK. In Figure 12, we show the experimental evidence in P-doped Si. Note that at a fixed (very low) temperature, the conductivity changes continuously with, for example, donor concentration. In addition, the extrapolated zero-temperature value of the conductivity (o(0)) varies continuously with impurity concentration. An example showing the variation of the extrapolated zero-temperature conductivity41 in the case of B-doped Si is... [Pg.186]


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