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Development and Validation

The monitoring deployment is based on the following aspects (a) characterisation of the area, (b) establishing a base line C()2, (c) establishment of potential areas of migration and release of C02 (and other gases) and (d) validation and development of techniques for monitoring C02. [Pg.96]

One-dimensional proton NMR spectroscopy is the most straightforward method for process validation and development. It can be used as a limit test, i.e., to demonstrate that a particular analyte is below the detection limit. It can also be used to accurately quantify an analyte by comparing the NMR peak area from a test sample against a standard curve. To get accurate quantitation, it is important to keep the acquisition parameters and conditions constant for both standard and test samples. For example, the receiver gain, power level, and duration of all pulses must stay the same within an assay. In addition, the probe should remain tuned for all samples. [Pg.309]

Rich, I.N. and Hall, K.M. (2005) Validation and development of a predictive paradigm for hematotoxicology using multifunctional bioluminescence colonyforming proliferation assay. Toxicol Sciences, 87, 427 41. [Pg.437]

Tonge R, Shaw J, Middleton B et al. Validation and development of fluorescence two-dimensional differential gel electrophoresis proteomics technology. Proteomics 2001 1 377-396. [Pg.43]

A demonstration of this approach has been reported to evaluate the ability of a lattice-Boltzmann code to predict both spatially resolved flow fields and MR propagators characterizing flow through random packings of spheres (model fixed beds) for flows defined by Peclet (Pe) and Reynolds numbers in the range 182 < Pc <3 50 and 0.4 < Re <0.77 (85). Excellent agreement was found between the numerical predictions and experimental measurements. Current interest in this field addresses the validation and development of numerical codes predicting flows at Reynolds numbers more appropriate to real catalytic reactors. [Pg.43]

Use of portable emissions measurement systems (PEMS) for validation and development of passenger car emission factors. 18th International Symposium Transport and Air Pollution. May 18-19, 2010, Duebendorf, Switzerland... [Pg.52]

Rowlinson, R., Rayner, S., Young, )., PoGNAN, F., Hawkins, E., Currie, I., Davison, M. (2001). Validation and development of fluorescence two-dimensional differential gel electrophoresis proteomics technology. Proteomics 1, 377-396. [Pg.55]

The relationship between user validation and development of the standard application must be clearly understood and described in an application s Validation Plan. Users should review and accept standardized application release documentation. Supphed documentation must match the version of the standard software being implemented. Table 14.2 suggests the general spht in documentation between a user validation and standardized application document. [Pg.341]

Langowski J, Barratt M. Validation and development of the DEREK skin sensitisation rulebase by analysis of the BGVV list of contact allergens. ATLA 1999 27 104. [Pg.3199]

This first chapter briefly explains the sequential research and development process carried out in the pharmaceutical industry. A large body of knowledge needs to be acquired in order to identify, validate, and develop potentially active substances that may effectively interfere with the course of the disease. As information specialists, we play a key role in supporting each step along the way. [Pg.3]

Our approach to proxy validation and development is based on complementary steps in exploring the inorganic chemistry, inorganic isotope fractionation and biological controls on proxy relationships in organisms relevant to climate reconstructions. In many cases, the integration of laboratory experiments, field and culmre studies, theoretical considerations and numerical modelling has turned out to be a successful method for this task. [Pg.46]

Animal models of human cardiac disease have been widely used to validate and develop understanding of cTn as a cardiac injury biomarker. Such studies have shown correlation of increases in blood cTn with loss from myocardium, compromised cardiac function, and structural injury to myocardium. The value of cTn in clinical assessment of cardiotoxicity from anticancer drugs was first demonstrated in mice (O Brien et al. 1997a), rats (Herman et al. 1998), and dogs (Christiansen et al. 2002) with doxorubicin. [Pg.148]

Examples for reference materials useful for instrument calibration, method validation and development in the field of human materials for which certified or other kinds of concentration values are reported for the 13 trace elements considered in this book (Al, As, Cd, Cr, Cu, Hg, Mn, Ni, Pb, Se, Tl, V and Zn) are given in Table 3. The data are taken from the survey prepared by Cortes Toro et al. (1990) and from other sources (BCR, 1992, Trahey, 1992, Chai Chifang, 1993) which the reader should consult for further details. Most of the columns are self explanatory. Column T contains a code (C = certified, N = noncertified or information value) for the type of reference value specified by the issuing authority. The uncertainty in the concentration value is expressed as a percentage error, but the meaning of this may differ somewhat from one material to another. In most cases it expresses the 95% confidence interval of the mean, but in a few other cases a tolerance interval, or some other definition (sometimes unspecified), may have been used by the producer. [Pg.247]

APPROPRIATE BIOLOGICAL REFERENCE MATERIALS USEFUL FOR INSTRUMENT CALIBRATION, METHOD VALIDATION AND DEVELOPMENT FOR HUMAN MATERIALS AND THE 13 ELEMENTS TREATED IN THIS BOOK... [Pg.248]

Large scale experiments in underground research laboratories, (SKB, 1993, Huertas et al., 2000), have played an important role in demonstrating full scale behaviour. Such experiments have become a key component of a number of extensive programmes of research investigating various aspects of behaviour. Additionally they serve as major sources of data for use in numerical model validation and development. [Pg.465]


See other pages where Development and Validation is mentioned: [Pg.264]    [Pg.74]    [Pg.144]    [Pg.239]    [Pg.295]    [Pg.33]    [Pg.173]    [Pg.82]    [Pg.130]    [Pg.35]    [Pg.268]    [Pg.91]    [Pg.285]    [Pg.372]    [Pg.45]    [Pg.275]   


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