The data matrix obtained by using Progenesys QI was submitted to principal component analysis (PCA) through SIMCA 13.0 (Umetrics, Sartorius, Gottingen, Germany), after Pareto scaling and centering.
Metabolite Profiling by UPLC-MS
The data matrix obtained by using Progenesys QI was submitted to principal component analysis (PCA) through SIMCA 13.0 (Umetrics, Sartorius, Gottingen, Germany), after Pareto scaling and centering.
Corresponding Organization : University of Verona
Variable analysis
- Dilution of methanol extracts (1:1 v/v with water)
- Dilution of concentrated wine sample (1:10 v/v with water)
- Metabolite profiles analyzed by UPLC-MS
- Use of LC-MS grade water
- Filtration of samples through 0.2 µm filters
- Injection volumes (1, 3, and 5 µL for cell extracts, 1 µL for wine)
- UPLC-MS system and parameters (as described in Commisso et al. [40])
- Data processing using Progenesys QI software
- Metabolite identification using in-house library and mass spectrometry data
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