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Leishmaniasis
Studies from Federal University reveal new findings on leishmaniasis
February 3rd, 2009
According to recent research published in the Journal of Chromatography B - Analytical Technologies in the Biomedical and Life Sciences, "A new analytical methodology using HS-SPME/GC-MS was optimized in order to attain maximum sensitivity, using multivariate Strategies. The proposed method was employed to evaluate the VOC profile exhaled from canine hair samples collected from 8 healthy dogs and from 16 dogs infected by Leishmania infantum. 274 VOCs were detected, which could be identified as aldehydes, ketones and hydrocarbons." "After application of the Soft Independent Modeling of Class Analogy (SIMCA) and Principal Component Analysis (PCA) healthy and...
Source: TB & Outbreaks Week (2009-02-03)
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