Download A Primer on Quality in the Analytical Laboratory by John Kenkel PDF

By John Kenkel

Modern business laboratory analyst encounters matters similar to qc, caliber coverage ISO 9000, regular working systems, calibration, regular reference fabrics, statistical keep an eye on, keep watch over charts, skillability checking out, validation, method suitability, chain of custody, reliable laboratory practices, protocol, and audits. In a well-written and readable kind, A Primer on caliber within the Analytical Laboratory offers an creation to caliber, criteria, and rules within the analytical laboratory and serves as a necessary source to a myriad of laboratory practices.Features

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Extra resources for A Primer on Quality in the Analytical Laboratory

Sample text

The SRM is the material to which all calibration and standardization materials should be traceable. A standard material becomes one when it is compared to or prepared from another. 10). Reference materials are often real samples that have been carefully prepared and analyzed by many laboratories by many different methods. In this way, their known value and accompanying confidence limits are determined. The regular use of reference materials not only provides for calibration and standardization, but it also can demonstrate an analyst’s proficiency with a method.

Each person who may need specific SOPs for his/her work should also have them, perhaps in a file near his/her desk. In addition, there should be a location in which master SOPs for all activities are filed and all SOPs should also be archived so that past revisions are accessible. All obsolete SOPs, however, should be removed and filed away from the work area and clearly identified as obsolete. The decision to revise an SOP must be based on sound observations and protocols that point to improved data accuracy and integrity.

7). Beer’s law, which governs spectrophotometric analyses, states that the absorbance is linear with concentration, and thus a “calibration curve,” or “standard curve,” a plot of absorbance vs. 2 (Section 3). The responses of unknowns are then correlated with the known quantities via the standard curve to determine the concentration of analyte. Random errors occurring in the solution preparation and instrument functions usually result in points that do not fit a straight line exactly. However, a linear regression analysis can fit the best straight line to the plotted points, and a correlation coefficient, calculated from these data, indicates how well the absorbance values correlate with the concentration values.

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