Selection of an Appropriate Strategy

Once the specific nature of inter-instrument variability is assessed, it is possible to develop a transfer strategy. An important part of this strategy involves the selection of an appropriate set of transfer standards. In general, these standards should ... 

In protein-expression profiling using labelling strategies of phosphorylated proteirrs, care must be taken in the selection of an appropriately labelled peptide for quantification. PTM of proteirrs resirlts in a variety of isoforms. Orrly peptides cortrmon to all isoforms of a protein can be ttsed for quantification. Since most likely... 

In the bulk phase-separation approach, an organic solution of a polymer dissolved in a water-miscible solvent is injected into the tissue defect. After injection, the solvent diffuses away from the injection site, resulting in precipitation of the water-insoluble polymer. Selection of an appropriate solvent, which must be non-cytotoxic and not harmful to host tissue, is a key factor for success of the bulk phase-separation system. Two solvents that meet these criteria are N-methyl-2-pyrrolidone (NMP) and dimethyl sulfoxide (DMSO). In recent years, improved strategies for removal of the solvent and release of growth factors have been active areas of investigation. However, the requirement of a solvent to induce phase separation of the polymer limits the scale at which this approach can be applied in vivo. Even for relatively biocompatible solvents such as NMP and DMSO, injection of large volumes is anticipated to adversely affect host tissue, as well as the ability to eliminate the solvent from the body. 

Selection of an appropriate lumping scheme was one of the most important issues in this modelling exercise. Ten lump kinetic scheme developed by Jacob et al. (1976) and five lump kinetic model proposed by Ancheyta et al. (1999) were examined closely. The virtue of more detailed lumping scheme over other less detailed models is that rate constants is that rate constants are independent of feed composition. But utilisation of these models are limited by two problems i.e. detailed characterisation of streams is not available on a regular basis and elaborate kinetic information is scarcely available. Thus, a balance between kinetic description required and cost of laboratory analysis often decides selection of lumping strategy. 

There are two principal strategies for the selection of an appropriate linker for a given set of catalyst and support material. One is to choose a long linker to avoid interference of the catalyst with the support material the other is to use a short linker in order to generate additional interactions with the solid support material. 

Since a vast number of reversed phases is available on the market, the successful selection of an appropriate column for a given analytical problem is a true challenge. Ignoring simple trial-and-error strategies, it is commonly based on a systematic characterization of column properties. The term column will be used synonymously with stationary phase. Chromatographic column tests are most important, as they directly yield relevant data for later applications. They are mainly... 

In order to select the instmmental conditions for carrying out the ATR measurements several parameters including the number of accumulated scans per spectra or nominal resolution were tested. To avoid the crosscontamination and to establish an appropriate strategy for cleaning the ATR cell between samples, several procedures were tested using background and blank controls. Moreover, the possible sample sedimentation on the ATR plate cell due to the complexity of the sample matrix during the spectra acquisition was also checked. 

Common practice consists in investigating the influence of one experimental variable (hereafter we will refer to it as a factor while keeping other factors at a fixed value. Then, another factor is selected and modified to perform the next set of experiments, and so forth. This one-factor-at-a-time strategy has been shown to be inefficient and expensive it lacks the ability to detect the joint influence of two or more factors (z.e. it cannot address interactions) and often needs many experiments. An increase in efficiency can be achieved by studying several factors simultaneously and systematically by means of an appropriate type of experimental design. In such a way, the experiments will be able to detect the influence of each factor and also the influence of two or more factors because every observation gives information about all factors. 

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