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Sampling concentration measurement, horizontal

Samples drawn at this location often suffer from nonreproducibility. Liquid droplets due to entrainment or atmospheric condensation may affect sample composition. The amount of liquid caught by the sample may vary, and this too affects the measurement. Large composition gradients may exist in the vapor phase above the top tray and persist in the overhead line. In one case (309), the heavy key concentration measured near the wall of the overhead line was half the concentration measured near the centerline, and the concentration gradient was unsteady. To mitigate the above problems it is best to sample from the top of a horizontal leg in the overhead line, and to provide a sample knockout pot for removing droplets, but this may not be sufficient to entirely eliminate the nonreproducibility problem. [Pg.571]

McBain reports the following microtome data for a phenol solution. A solution of 5 g of phenol in 1000 g of water was skimmed the area skimmed was 310 cm and a 3.2-g sample was obtained. An interferometer measurement showed a difference of 1.2 divisions between the bulk and the scooped-up solution, where one division corresponded to 2.1 X 10 g phenol per gram of water concentration difference. Also, for 0.05, 0.127, and 0.268M solutions of phenol at 20°C, the respective surface tensions were 67.7, 60.1, and 51.6 dyn/cm. Calculate the surface excess Fj from (a) the microtome data, (b) for the same concentration but using the surface tension data, and (c) for a horizontally oriented monolayer of phenol (making a reasonable assumption as to its cross-sectional area). [Pg.94]

A Similar aphical presentation of the spatial distribution of a tracer g is or a real contaminant and thereby to some extent the airflow in the studied area is based on the use of computed tomography and optical remote sens-jt]g I2.M beams are sent out horizontally and reflected back to an IR analytical instrument, analyzing the average concentration of the contaminant along the IR beam. By combining data from several measured tines it is possible ro present data in a similar way to Fig. 12.8. Those methods presuppose access ro an expensive and complicated sampling/data processing system. [Pg.1117]

Figure 1 Scbematic representation of the dynamics rf a response variable, c.g., concentration of rbizodeposited C, in the rhizosphere (das/ied line) and ihe measured concentrations in rhizosphere and nonrhizosphere samples solid lines). The vertical airow indicates the separation of rhizosphere and nonrhizosphere soil the effect of soil moisture is indicated by horizontal arrows. Figure 1 Scbematic representation of the dynamics rf a response variable, c.g., concentration of rbizodeposited C, in the rhizosphere (das/ied line) and ihe measured concentrations in rhizosphere and nonrhizosphere samples solid lines). The vertical airow indicates the separation of rhizosphere and nonrhizosphere soil the effect of soil moisture is indicated by horizontal arrows.
The results of a pH 4-9.5 solubility assay of chlorpromazine are shown in Fig. 6.10. The horizontal line represents the upper limit of measurable solubility (e.g., 125 pg/mL), which can be set by the instrument according to the requirements of the assay. When the measured concentration reaches the line, the sample is completely dissolved, and solubility cannot be determined. This is automatically determined by the instrument, based on the calculated value of R. When measured points fall below the line, the concentration corresponds to the apparent solubility Sapp. [Pg.108]

An aircraft has three obvious advantages over a surface site. First, the aircraft can measure vertical and horizontal profiles of concentrations such measurements are not possible at the surface. However, because the typical aircraft travels horizontally much faster than it ascends or descends, it may be difficult to deconvolute vertical from horizontal variations. Second, the aircraft allows the investigator to choose the general type of air parcels to study rather than simply allowing sampling of whatever parcels are brought to a site (as on the surface). Third, the aircraft can measure concentrations free from the surface influences discussed in the preceding sections. [Pg.265]

Figure 16 shows an example of the excitation spectra measurement in the same bay. The continuous dot plot shows the fluorescent emission intensity obtained every 6 s. The upper half shows the results of excitation at 499 nm, and the lower half shows the results at 578 nm. The horizontal axis shows the distance in meters. The three filled circles show the chlorophyll a concentration of the sampled water (chlorophyll a was obtained by extraction in acetone). The results show a decrease where the vessel crossed the estuarine region. Thus, continuous measurement by this technique can determine the distribution of phytoplankton, including the patch size, and the small-scale variability. [Pg.290]

FIG. 21-19 The Sedigraph III 5120 Particle Size Analysis System determines particle size from velocity measurements by applying Stokes law under the known conditions of liquid density and viscosity and particle density. Settling velocity is determined at each relative mass measurement from knowledge of the distance the X-ray beam is from the top of the sample cell and the time at which the mass measurement was taken. It uses a narrow, horizontally collimated beam of X-rays to measure directly the relative mass concentration of particles in the liquid medium. [Pg.2259]

The equation follows a linear straight line if response y increases with increasing concentration of the analyte x. The value a is the intercept or blank and b is the proportionality function. The normal method for plotting curves using this equation is to plot the v values (response) on the vertical axis and the x values (concentration) on the horizontal axis. The intercept a is on the vertical axis and may be zero, or as near it as possible. It is included in signal response for standard/sample analysis and must be subtracted from each measurement. [Pg.83]

A useful method of recording numerical data is in the form of a table. All tables should have a title that adequately describes the data presented (they may need to be numbered so that they can be quoted in the text). It is important to display the components of the table such that it allows direct comparison of data and to allow the reader to easily understand the significance of the results. It is normal to tabulate data in the form of columns and rows, with columns running vertically and rows horizontally. Columns contain, for example, details of concentration and units, sampling sites or properties measured, while rows contain numerical or written descriptions for the columns. The first column often contains the independent variable data, e.g. concentration or site location, while subsequent columns may contain numerical values of concentrations for different metals or organics. A typical tabulated set of data obtained from an experiment to determine the level of lead in soil by using atomic absorption spectroscopy is shown in Table 1.4. [Pg.6]

Control Chart. You will probably prepare this on the second day, after the method has been developed. You will be given an unknown (blind) sample. Make a measurement on it every 20 min throughout one laboratory period, intermittently with other measurements the team is making you should make at least eight measurements. Plot the determined concentration vs. time of day. After you have done this, and shown it to your instructor, obtain the known value from the instructor, and draw a horizontal line on the chart at that concentration. From the precision that Team B has determined for the method (at midrange), draw lines for iimer and outer control limits at 2 and 2.5 standard deviations, respectively. Are your values within the control lines Is there a trend in one direction ... [Pg.794]


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