2012
DOI: 10.1186/2191-0855-2-43
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A flow-injection mass spectrometry fingerprinting scaffold for feature selection and quantitation of Cordyceps and Ganoderma extracts in beverage: a predictive artificial neural network modelling strategy

Abstract: Flow-injection mass spectrometry (FI/MS) represents a powerful analytical tool for the quality assessment of herbal formula in dietary supplements. In this study, we described a scaffold (proof-of-concept) adapted from spectroscopy to quantify Cordyceps sinensis and Ganoderma lucidum in a popular Cordyceps sinensis /Ganoderma lucidum -enriched health beverage by utilizing flow-injection/mass spectrometry/artificial neural network (FI/MS/ ANN) model fingerprinting method with feature selection capability. Equal… Show more

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Cited by 6 publications
(1 citation statement)
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“…Of the 33 samples representatives of the different stages given in Section 3.1, 29 samples were included in the metabolomics data set, and four samples were excluded as outliers: two replicates from days 5 and 44 were outliers due to failure in sample preparation, and two other replicates from day 5 were outliers because they did not fall within the boundaries of a 2D tolerance ellipse plot . The PCA score plot (Figure A) showed data spreading between −0.004 and 0.005 at most according to PC1 and PC2 with no highly systematic trend as function of time.…”
Section: Resultsmentioning
confidence: 99%
“…Of the 33 samples representatives of the different stages given in Section 3.1, 29 samples were included in the metabolomics data set, and four samples were excluded as outliers: two replicates from days 5 and 44 were outliers due to failure in sample preparation, and two other replicates from day 5 were outliers because they did not fall within the boundaries of a 2D tolerance ellipse plot . The PCA score plot (Figure A) showed data spreading between −0.004 and 0.005 at most according to PC1 and PC2 with no highly systematic trend as function of time.…”
Section: Resultsmentioning
confidence: 99%