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United States Department of Agriculture

Agricultural Research Service

Title: Data Analysis Techniques

Author
item Tunick, Michael

Submitted to: CRC Press
Publication Type: Book / Chapter
Publication Acceptance Date: November 27, 2006
Publication Date: July 15, 2008
Citation: Tunick, M.H. 2008. Data analysis techniques. In: Otles, S., editor. Handbook of Food Analysis Instruments. Boca Raton, FL: CRC Press. p. 1-13.

Technical Abstract: Food scientists use standards and calibrations to relate the concentration of a compound of interest to the instrumental response. The techniques used include classical, single point, and inverse calibrations, as well as standard addition and internal standards. Several fundamental criteria -- selectivity, accuracy, precision, detection limit, quantification limit, and range -- must be taken into account in order to produce meaningful data. Other considerations include robustness, speed, and convenience. Reliable and repeatable results are obtained when instrumental analyses are properly performed.

Last Modified: 10/30/2014
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