By John Kenkel
Creation to Analytical ScienceSampling and pattern PreparationGravimetric AnalysisIntroduction to Titrimetric AnalysisApplications of Titrimetric AnalysisIntroduction to Instrumental AnalysisIntroduction to Spectrochemical MethodsUV-Vis and IR Molecular SpectrometryAtomic SpectroscopyIntroduction to ChromatographyGas ChromatographyHigh-Performance Liquid Chromatography and ElectrophoresisMass Read more...
summary: creation to Analytical ScienceSampling and pattern PreparationGravimetric AnalysisIntroduction to Titrimetric AnalysisApplications of Titrimetric AnalysisIntroduction to Instrumental AnalysisIntroduction to Spectrochemical MethodsUV-Vis and IR Molecular SpectrometryAtomic SpectroscopyIntroduction to ChromatographyGas ChromatographyHigh-Performance Liquid Chromatography and ElectrophoresisMass SpectrometryElectroanalytical MethodsMiscellaneous Instrumental TechniquesAppendix 1: formulation for answer focus and coaching CalculationsAppendix 2: The Language of caliber insurance and G
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Extra info for Analytical Chemistry for Technicians, Fourth Edition
Sample text
1 Chain of Custody It is very important to document who has handled the sample, what responsibility each handler has at various junctures between the sampling site and the laboratory and what actions the sample handler has taken relating to sample integrity while the sample was in his/her custody. In other words, the chain of custody must be maintained and documented. A sample can have a number of custodians along the way to the laboratory. A sample of lake water may be taken by a sampling technician at the site.
2. This graph is called the normal distribution curve. It shows that, for an entire population, the measurements are dispersed around the mean with an equal “drop-off” from the mean in each direction. This mean is recognized as the true mean because the entire population was analyzed. The true mean is designated as μ. 2, is designated as σ. 2 Normal distribution curve and the definition of the mean (see text for discussion). 3 Normal distribution curve in which the mean is different from the right answer due to the presence of a bias (see text for discussion).
Such samples are called selective samples. Consider the analysis of soil from a farmer’s field. The farmer wants to know whether he needs to apply a nitrogen-containing fertilizer to his field. It is conceivable that different parts of the field could provide different types of samples in terms of nitrogen content. Suppose there is a cattle feed lot nearby, perhaps uphill from part of the field and downhill from another part of the field such that runoff from the feed lot affects part of the field but not the other part.