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Estimating instrumentation

Instrument detection limits were estimated from the linear calibration curve using two times the average peak height of the baseline noise for each ion monitored as the minimum detectable signal. Estimated instrument limits of detection (ng) are phenol, 51 4-nitrophenol, 3.6 1-naphthol, 165 4-nitrophenyl glucuronide, 0.25 1-naphthy.l glucuronide, 5.3 phenyl sulfate, 7.7 4-nitrophenyl sulfate, 0.29 1-naphthyl sulfate, 3.1. For the UV detector at 254 nm, the corresponding limits of detection (ng) were phenol, 5.0 4-nitrophenol, 8.2 1-naphthol, 4.0 4-... [Pg.240]

Table 2 Recommended wavelengths and estimated instrumental detection limits (IDLs) for radial view ICP/AES [2]... Table 2 Recommended wavelengths and estimated instrumental detection limits (IDLs) for radial view ICP/AES [2]...
For this experiment, as well as for the microtomography ( 3.2) we used the commercial desktop microtomography system Skyscan 1072 [5], the setup of which is sketched in Figure 1. For this instrument, which is designed to study relatively large objects with a diameter up to 50 mm, the source size is 8 pm, the distance source-detector is about 50 cm and the effective resolution of the detector is about 80 pm. For this system and this object, the global effective resolution a is estimated to be of the order of 50 to 100 pm [6]. [Pg.576]

Evaluating Indeterminate Error Although it is impossible to eliminate indeterminate error, its effect can be minimized if the sources and relative magnitudes of the indeterminate error are known. Indeterminate errors may be estimated by an appropriate measure of spread. Typically, a standard deviation is used, although in some cases estimated values are used. The contribution from analytical instruments and equipment are easily measured or estimated. Indeterminate errors introduced by the analyst, such as inconsistencies in the treatment of individual samples, are more difficult to estimate. [Pg.63]

Because light emitted from inductively coupled plasma torches is characteristic of the elements present, the torches were originally introduced for instruments that optically measured the frequencies and intensities of the emitted light and used them, rather than ions, to estimate the amounts and types of elements present (inductively coupled plasma atomic emission spectroscopy. [Pg.87]

Total instrumentation cost does not vary a great deal with size and hence is not readily calculated as a percentage of basic equipment. This is particularly true for distillation systems. If in doubt, detailed estimates should be made. [Pg.869]

A rough method of estimating the piping factor as a percentage of the total delivered cost of major process equipment (excluding instruments and electrical items) was presented by E. S. SokuUu in the form... [Pg.871]

Electrical and Instrumentation Estimation These costs usually range from 4 to 10 percent of the total installed plant cost, with a median value of about 7.5 percent. As with piping estimation, the process design must be almost completed before detailed drawings and specifications can be prepared for estimating purposes. However, actual elec trical costs can be up to 100 percent higher than estimated costs, and so it is important to attempt to maintain the accuracy range within reasonable hmits. [Pg.871]

History The histoiy of a plant forms the basis for fault detection. Fault detection is a monitoring activity to identify deteriorating operations, such as deteriorating instrument readings, catalyst usage, and energy performance. The plant data form a database of historical performance that can be used to identify problems as they form. Monitoring of the measurements and estimated model parameters are typic fault-detection activities. [Pg.2549]

In reaction engineering, laboratory catal54ic reactors are tools or instruments to study how catalysts behave in some desired reaction. Quantitatively, the investigator wants to know how much of the desired product can be made per unit weight of catalyst, how much raw material will be used, and what byproducts will be made. This is the basic information needed to estimate the costs and profitability of the process. The economic consequence of our estimates also forces us to clarify what the rate limiting steps are, and how much transfer processes influence the rates, i.e., everything that is needed for a secure scale-up. Making the... [Pg.5]

Instrument and Plant Air Systems. A typical setup for a large plant could include three to four 50% instrument air compressors and two 100% plant air compressors, with steam drives for normally operated units and electrical drives for spares. Common practice would provide an interconnection to allow makeup from plant air into instrument air, but not vice versa, and two sets (two 100% driers per set—one on-stream and one regenerating) of 1007c instrument air driers. Two main receivers on instrument air near the compressors with several minutes holdup time and satellite receivers at process trains would be likely and proper for feasibility cost estimating. [Pg.228]

Clearly the accurate measurement of the final (infinity time) instrument reading is necessary for the application of the preceding methods, as exemplified by Eq. (2-52) for the spectrophotometric determination of a first-order rate constant. It sometimes happens, however, that this final value cannot be accurately measured. Among the reasons for this inability to determine are the occurrence of a slow secondary reaction, the precipitation of a product, an unsteady instrumental baseline, or simply a reaction so slow that it is inconvenient to wait for its completion. Methods have been devised to allow the rate constant to be evaluated without a known value of in the process, of course, an estimate of A is also obtainable. [Pg.36]


See other pages where Estimating instrumentation is mentioned: [Pg.460]    [Pg.83]    [Pg.2302]    [Pg.117]    [Pg.1005]    [Pg.249]    [Pg.460]    [Pg.83]    [Pg.2302]    [Pg.117]    [Pg.1005]    [Pg.249]    [Pg.121]    [Pg.189]    [Pg.800]    [Pg.872]    [Pg.874]    [Pg.875]    [Pg.875]    [Pg.1204]    [Pg.1337]    [Pg.2170]    [Pg.2276]    [Pg.2311]    [Pg.2549]    [Pg.5]    [Pg.29]    [Pg.504]    [Pg.323]    [Pg.330]    [Pg.231]    [Pg.605]    [Pg.330]    [Pg.265]    [Pg.353]    [Pg.6]    [Pg.1123]    [Pg.1124]    [Pg.405]    [Pg.289]    [Pg.363]    [Pg.117]    [Pg.45]    [Pg.122]   
See also in sourсe #XX -- [ Pg.308 , Pg.309 , Pg.310 , Pg.311 ]




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Instrumentation estimating procedure

Sample Properties of the Least Squares and Instrumental Variables Estimators

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