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Table 3 Data-sets used for building PLS-2CV models

From: Identifying inhibitory compounds in lignocellulosic biomass hydrolysates using an exometabolomics approach

Lag-phase model 1

auto E A t 2 − E A t 1

Lag-phase model 2

auto E C t 2 − E C t 1

Lag-phase model 3

auto E A t 2 − E A t 1 : E C t 2 − E C t 1

Lag-phase model 4

auto E A t 1 : E A t 2

Lag-phase model 5

auto E C t 1 : E C t 2

Lag-phase model 6

auto EA : t 1 E A t 2 : E C t 1 : E C t 2

Glu CR and EtOH PR

auto E A tx or auto E C tx

  1. The two data preprocessing methods were symbolized by ‘√’ (square-root), and ‘auto’ (autoscaling); ‘:’ indicates that the corresponding data-sets were combined. EAtx: EA-GC-MS data-set of time sample tx, ECtx: EC-GC-MS data-set of time sample tx (tx represents fermentation samples taken at different time-points; x: 1-5).
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BMC Biotechnology

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