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Suggested Selectivity Experiments

As a first step, test other pure chemicals, such as compounds from the same chemical class and structurally related compounds, chemicals that might have been administered to the commodity or its environment during production and potential (likely) environmental contaminants. Next, test for interference from co-extractives from target matrices by testing representative matrices collected from various sources that reflect the expected profile of sample submissions. Testing of material from a single source is not sufficient. Check also for interference from known metabolites and degradation products. [Pg.278]

Additional guidance is provided by Eurachem, which recommends that the following experiments be conducted for confirmation of identity and selectivity/ specificity  [Pg.279]

It is not possible to test for all potential interferences, and there is a possibility that an interfering substance will subsequently be encountered in analysis of field samples from diverse sources. Detection using tandem mass spectrometers, with multiple- or selected-reaction monitoring (MRM or SRM see Chapters 6 and 7), reduces the probability of encountering unexpected interferences, but does not totally eliminate the possibility. When interference is discovered once a validated method has been put into routine use, it may be necessary to modify the method (clean-up or chromatography) to eliminate the interference. Such modifications, if they involve significant change, may require re-validation of the method. [Pg.279]


Selected experiments from Fig. 3 were repeated, but in the presence of such Teflon shavings. Yield data were comparable. Importantly, the recovered catalyst residues became more compact and firmer, despite the added mass of the Teflon , suggestive of genuine physical adhesion or attraction. The catalyst residues were easier to manipulate, and less leaching occurred. [Pg.75]

An automated retrieval system which benefits from the frame type representation has been developed to easily and rapidly access any data in a transparent way for the user. He only needs to indicate his choice among the propositions suggested by the system. The program has been designed so that constraints can be put on any parameter in order to select distinct experiments. For example, to analyze which zeolite is the most suitable for a given chemical reaction at given reaction conditions, the user will put successive constraints on the kind of reaction, the type of zeolite, the limits of conversion and selectivity, and on the reaction conditions. After each selection, the system displays the number of experiments which satisfy these constraints. Hence, the user can decide to i) list the selected experiments, ii) impose a new selection by entering an additional constraint, iii) plot the retained data, iv) compute correlations, or v) quit the application. One can then easily access the characteristics of the listed experiments so that the user can check and compare all the parameters and verify which one(s) could influence the observed conversion, selectivity, and yield, and maybe have a track for further analyses. [Pg.529]

This material has been reviewed by Heiz and Schneider [7, 8], by Heiz and Bullock [9], and more recently by Heiz and coworkers [10]. This review is not intended to be comprehensive but will rather focus on some of the most notable research highlights. The synthesis and characterization of size-selected model catalysts will be discussed, but the focus will be on the catalytic chemistry of these supported clusters. This review will concentrate on recent results, and in the conclusion, we suggest new experiments based on supported size-selected cluster catalysts. [Pg.346]

The model matrix X is defined from the postulated model and the design matrix. Provided that a reasonable model can be suggested, it will thus be possible to select a series of experiments in such a way that X X has a maximum value. These experiments will then allow the parameters of the suggested model to be estimated with a maximum precision. Such a design is said to be D-optimal (D stands for "determinant"). The D-optimality criterion can be used to select experiments for screening. [Pg.183]

These experiments were repeated with a catalyst made by depositing dibenzenechromium(O) on AIPO4, and similar results were obtained, except that the poisoning was not as severe. Preexposure of the catalyst to CO reduced the activity by about 40%, and again decreased the size of the low-MW peak. A quick preexposure to dry air reduced the activity very little, but it did diminish the GPC peak associated with phosphate, a result that again suggests selective oxidation to a chromium oxide species. [Pg.473]

A direction that redesign of the system could take was suggested by experiments with 1,4-dihydronicotinamide derivatives (55) with an optically active amine attached to the side chain such compounds in the presence of Mg are capable of reducing activated carbonyl compounds like ethyl phenylglyoxalate (53) to ethyl mandelate (54) with modest transfer of chirality (eq. 26). This approach has subsequently been developed by Ohno into an extremely efficient method for the transfer of chirality in some reductions. We felt that the selectivity... [Pg.133]

Interactions between observations and ideas are the essence of science. However, if we try to study all of the conceptual and historical antecedents of, say, the atomic theory, we find that one year and one book are hardly sufficient. We must, therefore, be selective and, in our selectivity, somewhat arbitrary. This book begins with the consideration of the properties of matter in the gaseous state—the simplest state, in some ways—and then goes on to the study of quantitative chemistry and the concepts of atoms and molecules. This sequence is an approximation of the historical one. There is no rigid order of fects first, then theory, however, only a continuous interaction between the two. As in the days of Boyle, Lavoisier, and Cannizzaro, as well as in our own time, the facts serve as raw material for the construction of theories, and in turn, theoretical concepts guide us in suggesting what experiments to do next, and thus lead us to new information. [Pg.2]

Chapter 9 - A novel voltammetric technique based on the simultaneous dynamic potential control of both the disk and the ring electrodes of an RRDE is presented. The method of dual cyclic voltammetry has proven to be an especially promising method for studying the mechanisms of electrochemical processes. The new 3D representation of the data can be effectively used in order to reveal the formation of electroactive species at the disk electrode. By using appropriate potential programs, the selectivity and sensitivity of RRDE systems can be significantly increased. The results of some selected experiments have been discussed and some drawbacks of the technique have been pointed out. Numerical simulations have been carried out in order to study the cross-talk effects, and a method has been suggested for then-reduction. [Pg.362]

The following set of suggested experiments describes the preparation of solid-state and liquid ion-exchange ion-selective electrodes, as well as potentiometric biosensors. [Pg.533]

Research and clinical experience on dmg resistance suggests that tumor cells are particularly adept at genetic selections leading to alterations in the stmcture, function, or synthesis of proteins involved in the antitumor dmg action and detoxification. Multiple mechanisms of resistance have been shown to account for the resistance seen in the clinic (46). [Pg.445]

The choice of variables remaining with the operator, as stated before, is restricted and is usually confined to the selection of the phase system. Preliminary experiments must be carried out to identify the best phase system to be used for the particular analysis under consideration. The best phase system will be that which provides the greatest separation ratio for the critical pair of solutes and, at the same time, ensures a minimum value for the capacity factor of the last eluted solute. Unfortunately, at this time, theories that predict the optimum solvent system that will effect a particular separation are largely empirical and those that are available can be very approximate, to say the least. Nevertheless, there are commercially available experimental routines that help in the selection of the best phase system for LC analyses, the results from which can be evaluated by supporting computer software. The program may then suggest further routines based on the initial results and, by an iterative procedure, eventually provides an optimum phase system as defined by the computer software. [Pg.364]


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