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Title: Novel Search Algorithms for a Mid-IR Spectra Database of Cotton Contaminants

Author
item LOUDERMILK, J - UNIVERSITY OF GEORGIA
item Himmelsbach, David
item Barton Ii, Franklin
item De Haseth, James

Submitted to: Federation of Analytical Chemistry and Spectroscopy Societies Final Program
Publication Type: Abstract Only
Publication Acceptance Date: 8/24/2006
Publication Date: 9/24/2006
Citation: Loudermilk, J.B., Himmelsbach, D.S., Barton II, F.E., De Haseth, J.A. 2006. Novel Search Algorithms for a Mid-IR Spectra Database of Cotton Contaminants. 33rd Federation of Analytical Chemistry and Spectroscopy Societies Final Program Book of Abstracts. September 24-28, Lake Buena Vista, FL. Paper #420, p. 166.

Interpretive Summary:

Technical Abstract: Cotton lint contamination from the cotton plant itself and transportation debris is a serious problem for the cotton industry. Buildup of foreign substances on processing machinery can lead to decreased production rates and decreased yarn quality. The USDA has been developing a mid-IR spectra database for cotton contaminants to be used for contaminant identification. Identification of these contaminants is used to increase the efficiency of cotton processing and the quality of cotton yarn. Search algorithms that can distinguish extremely similar spectra are necessary to identify contaminants. Novel search algorithms have been developed and tested.