Guidelines to Instrument Selection

The choice of the method depends on several factors, such as the size range of interest, the accuracy desired, and the time required for a measurement. Availability, cost, and method limitations of the instrument have to be considered as well. Useful guidelines to instrument selection are given by Collins [196] and Schoenmakers [197]. 

The primary object of this book is to provide the HPLC practitioner with a handy guide to the use of HPLC for analyzing pharmaceutical compounds of interest. This means familiarizing the practitioner with the theory, instrumentation, regulations, and numerous applications of HPLC. This handbook provides practical guidelines using case studies on sample preparation, column or instrument selection, and summaries of best practices in method development and validation, as well as tricks... 

Because of this, our goal is to focus on different characteristics of a cbl environment and student prerequisites that have the potential to influence affective variables in a positive way. We merge empirical evidence from three studies that have been conducted in our research group (Fechner, 2009 Kolbach 2011 Van Vorst 2013). This offers the opportunity to compare data that were measured with the same instruments. We imply that higher affect can be seen as one basis to make fruitful learning in chemistry possible. However, we focus on different aspects of the task situation and their respective influences on affective variables. This will make it possible to provide curriculum developers and teachers with guidelines to select contexts for the chemistry education classroom. 

At the beginning of this section, we listed the various experiments that are available which make use of the Nuclear Overhauser Effect but as yet, we have made no attempt to indicate the pros and cons of each of these and under what circumstances one may be preferable over another. It is virtually impossible to give cast iron advice regarding the selection of one NOE experiment over another as the decision has to be based on a huge number of considerations, and on the instrumentation and software available to you. Having said that, we shall now attempt to establish some broad guidelines. 

This section provides a brief discussion of the basic theoretical concepts of CE (including separation mechanisms), a description of CE instrumentation, and some guidelines in selecting conditions for a CE separation. Readers interested in more detailed presentations of CE theory and practice may consult References 1 to 8. Several general reviews of CE have been published,911 as well as specific reviews of protein analysis by CE.12-16... 

Impedance measurements are often used to identify physical phenomena that control an electrochemical reaction and to determine the corresponding physical properties. This chapter provides guidelines for the design of experimental cells, for selection of appropriate impedance parameters, and for selection of appropriate instrument controls. 

Select a total QC strategy to provide an appropriate balance between statistical and nonstatistical QC procedures. With 90% error detection, depend on the statistical QC component and perform the minimal preventive maintenance, instrument function checks, and method validation tests required by good laboratory practice, manufacturers instructions, and regulatory and accreditation guidelines. 

Before selected publications are presented, a general guideline of MS-based substrate specificity assays for specific NRPS domains is given. This guideline emphasizes three experimental aspects of an MS-based NRPS substrate specificity assay. First, which MS instrumentation should be applied Second, which substrates have to be considered for a catalytic NRPS domain or tailoring enzyme Third, which substrate pool can be utilized to identify a native or alternative substrate ... 

This chapter discusses aspects of quality assurance of equipment as used in analytical laboratories. It provides guidelines on how to select a vendor and for installation and operational qualifications, ongoing performance control, maintenance, and error detection and handling that contribute to assuring the quality of analytical laboratory data. It refers mainly to an automated chromatography system as an example, but similar principles can be applied to other instrumentation. 

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