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PCA was applied to obtain feature extraction according to the high component loading of the principal components (PCs). The PCA was carried out using the Unscrambler X Version 10.3 (CAMO Software, Oslo, Norway). The whole dataset was randomly split into calibration (70%) and cross-validation ...
10.4 (CAMO, Oslo, Norway; http://www.camo.com/). The metabolite variance between the different taxa was analyzed using SPSS v. 19.0 (IBM Corp., Armonk, NY, USA). 3. Results 3.1. Discrimination of the Different Taxa Using the E-Nose PCA was used to evaluate the separation of the ...