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Sampling, data sequential

At the end of the 2D experiment, we will have acquired a set of N FIDs composed of quadrature data points, with N /2 points from channel A and points from channel B, acquired with sequential (alternate) sampling. How the data are processed is critical for a successful outcome. The data processing involves (a) dc (direct current) correction (performed automatically by the instrument software), (b) apodization (window multiplication) of the <2 time-domain data, (c) Fourier transformation and phase correction, (d) window multiplication of the t domain data and phase correction (unless it is a magnitude or a power-mode spectrum, in which case phase correction is not required), (e) complex Fourier transformation in Fu (f) coaddition of real and imaginary data (if phase-sensitive representation is required) to give a magnitude (M) or a power-mode (P) spectrum. Additional steps may be tilting, symmetrization, and calculation of projections. A schematic representation of the steps involved is presented in Fig. 3.5. [Pg.163]

In the GeMSAEC fast kinetic analysis system several samples are mixed simultaneously in a rotor that contains multiple assemblies for the samples. Many thousands of data points per minute can be obtained sequentially for samples, standards, and blanks. [Pg.396]

A different approach to improving the clinical data on the significance of drug-resistance mechanisms might be to study the development of resistance in sequential biopsy samples from the same individual(s). Although this seems attractive in principle, the reality is that, for most patients, tissue samples are not easy to obtain. With hematological tumors, repeat samples of bone marrow or lymph node biopsies obtained pre- and post-chemotherapy are a possibility. However, with solid tumors it is often unfeasible, or unethical, to attempt to obtain tissue samples after chemotherapy or at relapse. [Pg.11]

Figure 7. Frequency distribution of the pseudo first-order rate constant for in situ sS(VI) production at Bakersfield. Data were obtained from 80 sequential fogwater samples. Figure 7. Frequency distribution of the pseudo first-order rate constant for in situ sS(VI) production at Bakersfield. Data were obtained from 80 sequential fogwater samples.
In the validation part of the calibration model, the data set is mean-centered using the mean of the training data. Samples are sequentially... [Pg.224]

Figure 3.23. Data sampling schemes for the two common quadrature detection methods, (a) Simultaneous sampling the two quadrature channels (representing x and y magnetisation) are sampled at the same point in time, (b) Sequential sampling the two channels are sampled alternately at twice the rate of method (a), and the phase inverted for alternate pairs of data points (see text). Figure 3.23. Data sampling schemes for the two common quadrature detection methods, (a) Simultaneous sampling the two quadrature channels (representing x and y magnetisation) are sampled at the same point in time, (b) Sequential sampling the two channels are sampled alternately at twice the rate of method (a), and the phase inverted for alternate pairs of data points (see text).
In this section we provide some practical considerations to chemists not familiar with the use of immunoassays for food contaminants. We focus primarily on the use of 96-well microtiter ELISA. Regardless of the type of sample and analysis, good laboratory practices (GLPs) and international standards organization (ISO) standards, where they apply, need to be followed to ensure the quality of results and the minimization of variability. Like any other analytical protocol, the analysis of contaminants by immunoassay is a combination of three sequential steps sample collection and preparation, sample analysis, and data processing followed by the interpretation of results. [Pg.234]

Table 3 presents a partial record of the results from a sequential triplicate sampling project conducted by Environment Canada in its Water Quality Data programme in the period 1984 to 1985. [Pg.4100]

Today a trend can be seen to computer aided experimentation. Not only the operation and control of the reactor but also automatic data sampling, analysis and statistically based sequential design of the experiments are performed by micro-computers /23,24,25/. In general, the experimental effort is appreciable and any method is welcome which can reduce the number of necessary experiments without loss of required accuracy. [Pg.81]

Fig. 9. Powder X-ray diffraction pattern for the (002) peak of CRO pitch samples as indicated. The data sets have been offset sequentially by 0, 500, 2000, 4400 and 5400 counts for clarity... Fig. 9. Powder X-ray diffraction pattern for the (002) peak of CRO pitch samples as indicated. The data sets have been offset sequentially by 0, 500, 2000, 4400 and 5400 counts for clarity...
Figure 3.5 Schematic representation of data processing in a 2D experiment (one zero-filling in and two zero-fillings in F ). (a) A(, FIDs composed of Afj quadrature data points, which are acquired with alternate (sequential) sampling, (b) On a real... Figure 3.5 Schematic representation of data processing in a 2D experiment (one zero-filling in and two zero-fillings in F ). (a) A(, FIDs composed of Afj quadrature data points, which are acquired with alternate (sequential) sampling, (b) On a real...
Often where direct data capture systems are employed in the analytical laboratory, an additional bar code or sequential labelling system may be incorporated and could be added to this system to ensure complete union with the analytical laboratory receiving the samples. [Pg.188]

The two deliverables from the field residue trial will be the samples, properly labeled, packed and shipped, and the field notebook, filled out correctly and completely. It is important that the Principal Investigator realize that all notations and calculations are made directly in the field notebook, not transcribed, and in ink. Multiple events, such as calibrations, applications, and harvests, must be documented on sequential individual forms. The field data in the notebook are not sent to the EPA as part of a submission package. These data must conform... [Pg.208]

Process data for the same polymer recipe were analyzed for 50 noncon-secutive, sequential batches. As before, the data were preprocessed to remove outliers and sorted to reflect normal operation. The data are sampled at 1-minute intervals during production of each batch. Fillering and normalization of the data is done prior to analysis. The final polymer quality... [Pg.87]

Table II shows data obtained by sequential hexanes and ethanol extractions of the desilylated networks. Attempts to extract the networks prior to desilylation failed because the samples swelled to such a great degree that they lost their mechanical integrity and disintegrated. The amount of hexanes extractable material is less than 3% in all cases which indicates high copolymerization yields. Ethanol extractables were not determined because the presence of the byproducts of the desilylation, which are in the ethanol, would have given artificially high readings. Table II shows data obtained by sequential hexanes and ethanol extractions of the desilylated networks. Attempts to extract the networks prior to desilylation failed because the samples swelled to such a great degree that they lost their mechanical integrity and disintegrated. The amount of hexanes extractable material is less than 3% in all cases which indicates high copolymerization yields. Ethanol extractables were not determined because the presence of the byproducts of the desilylation, which are in the ethanol, would have given artificially high readings.

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See also in sourсe #XX -- [ Pg.120 ]




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Data sampling

Sample sequential

Sampled data

Sequential sampling

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