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Analytical process, definition

The minimum detectable level, or detection limit, is defined as that concentration of a particular element which produces an analytical signal equal to twice the square root of the background above the background. It is a statistically defined term, and is a measure of the lower limit of detection for any element in the analytical process. (This definition corresponds to the 95% confidence interval, which is adequate for most purposes, but higher levels, such as 99% can be defined by using a multiplier of three rather than two.) It will vary from element to element, from machine to machine, and from day to day. It should be calculated explicitly for every element each time an analysis is performed. [Pg.319]

A small but diverse team of personnel is typically involved in the activities of the Project Identification and Definition Stage (refer to Figure 2.1). Representatives from groups such as process analytics, process control, project management, central engineering and production operations should populate the team in the first stage. The size and diversity of the team should grow from the identification step to the definition step as resources are allocated and plans developed. [Pg.24]

The third approach is the main topic of this volume. According to the definition given above it involves enantiomerically pure starting materials which at some point must be provided by resolution or ex-chiral-pool synthesis. It is more or less equivalent to the term asymmetric synthesis defined by Marckwald in 19047 as follows Asymmetric syntheses are those reactions which produce optically active substances from symmetrically constituted compounds with the intermediate use of optically active materials but with the exclusion of all analytical processes . In today s language, this would mean that asymmetric syntheses are those reactions, or sequences of reactions, which produce chiral nonracemic substances from achiral compounds with the intermediate use of chiral nonracemic materials, but excluding a separation operation. [Pg.45]

Asymmetric synthesis is a term first used in 1894 by E. Fischer and defined4 in 1904 by W. Markwald as a reaction which produces optically active substances from symmetrically constituted compounds with the intermediate use of optically active materials but with the exclusion of all analytical processes . A modem definition was proposed 5) by Morrison and Mosher An asymmetric synthesis is a reaction in which an achiral unit in an ensemble of substrate molecules is converted by a reactant into a chiral unit in such a manner that the stereosiomeric products (enantiomeric or diastereomeric) are formed in unequal amounts. This is to say, an asymmetric synthesis is a process which converts a prochiral6) unit into a chiral unit so that unequal amounts of stereoisomeric products result . When a prochiral molecule... [Pg.167]

One possibility is to classify the methods used in the various steps of the analytical process (see also Section 1.5). Note that the analytical process usually starts with the definition or selection of the matter to be investigated. Here it is very important to realize that every sample or object of investigation has a history. Because this history may cause severe systematic errors, THIERS [1957] explains Unless the complete history of any sample is known with certainty, the analyst is well advised not to spend his time in analyzing it. Clearly, in such circumstances one should be extremely cautious about drawing conclusions from chemometric interpretations even where data are available. [Pg.5]

We will not go into further detail, but rather we will discuss the basic steps and the generally accepted distinction today of the notions principle , method , and procedure . The main steps of the analytical process are sampling, sample pretreatment, measurement, and interpretation of the results (the collected data) (Fig. 1-1). Procedure means all activities from sample definition to the extraction of information by interpreting the data. Methods may be defined as the processes carried out between sample pretreatment and interpretation of the results. And finally principle describes the process in which analyte matter produces a signal that is further treated. [Pg.5]

The diversity of existing pollutants is large in respect both of the range of possible concentrations and the character of species present. For this reason it is definitely necessary to adapt the analytical process to the actual environmental problem. [Pg.250]

The complexity of environmental matrices and the problems due to the spatial-temporal evolution of pollutants and their involvement in biogeochemical cycles calls for the utmost accuracy in data collection, data analysis and environmental control. The first and fundamental requisite to be satisfied in order to give definitive answers to existing environmental problems is the capacity to produce absolutely reliable data, particularly where trace toxic chemical substances are concerned. It is imperative that measured concentrations correspond strictly to the truth. This reminder might appear superfluous, but unfortunately the technical-scientific difficulties involved in the analytical process are often underestimated, as the scientific literature has already amply demonstrated (see for instance refs. 7 through 13). [Pg.37]

In this chapter, we discuss the principles that are applied to automate the individual steps of the analytical process both in individual analyzers and in the integration of automation throughout the dinical labora.tory We provide examples of these principles as implemented in commercially available chemistry, hematology immunoassay, and nucleic acid systems point-of-care (POC) analyzers and automated specimen processing systems. Definitions of terms used in the automation of cfinical chemistry have been published by the International Union of Pure and Applied Chemistry (lUPAC). ... [Pg.265]

As is evident in the mathematical definition of reliability presented in Chapter 2, the reliability of the sample is the first factor to affect the reliability of analytical information because the analytical process begins with the sample. There are two main aspects that must be considered to obtain a reliable sample the history of the sample and the homogeneity of the sample. Both are connected with knowledge of basic chemistry and with the flexibility of the system analyst.23... [Pg.19]

The importance of estimation of uncertainty in chemical analysis is due to its direct relationship with the quality of the analytical information, and with the reliability of the measurement. Taking into account the definitions given in a previous chapter of this book for the reliability of the analytical information — as a function of the reliabilities or uncertainties of different steps of the analytical process — it follows that the reliability of the analytical information (RAI) is... [Pg.82]

FIGURE 2.1 Schematic definition of total analytical process (TAP). [Pg.34]

The definitions given below are aimed at clarifying a series of concepts related both to the analytical process and to its automation used throughout this book. [Pg.4]

Modern analysis begins with a definition and outline of the problem and ends only after a detailed critical evaluation of the relevant analytical data is complete, permitting the presentation of a result ( Analytical Chemistry, Purpose and Procedures). The analyst must therefore retain the ability to monitor a sample conscientiously and knowledgably throughout the analytical process. Only the analyst is in a position to assess the quality of a set of results and the validity of subsequent conclusions, although defining the problem and presenting the conclusions is almost always a cooperative multidisciplinary effort. [Pg.78]

It is becoming more and more desirable for the analytical chemist to move away from the laboratory and iato the field via ia-field instmments and remote, poiat of use, measurements. As a result, process analytical chemistry has undergone an offensive thmst ia regard to problem solviag capabihty (77—79). In situ analysis enables the study of key process parameters for the purpose of definition and subsequent optimization. On-line analysis capabihty has already been extended to gc, Ic, ms, and ftir techniques as well as to icp-emission spectroscopy, flow iajection analysis, and near iafrared spectrophotometry (80). [Pg.397]


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See also in sourсe #XX -- [ Pg.4 , Pg.13 ]




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