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Table 6 Glu CR and EtOH PR prediction results and Q 2 values of the PLS-2CV models

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

PLS-2CV

Glu CR

Prediction

EtOH PR

Prediction

  

t1

t2

t3

t4

t5

 

t1

t2

t3

t4

t5

Bag-CA

1.42

2.86

2.30

2.08

1.77

1.08

0.44

1.04

0.92

0.81

0.81

0.47

Bag-DA

3.64

2.62

3.07

3.00

3.01

3.56

1.52

0.93

1.15

1.18

1.18

1.39

Bag-MA

3.84

3.12

3.28

3.64

3.45

3.22

1.58

1.38

1.13

1.51

1.51

1.40

BS-CA

4.57

2.38

3.94

4.15

3.71

3.88

1.73

0.91

1.61

1.70

1.70

1.61

BS-DA

3.63

4.60

3.99

3.73

3.93

3.45

1.42

1.99

1.72

1.57

1.57

1.47

BS-PAA

2.96

2.39

2.80

2.73

2.81

2.65

1.03

1.04

1.20

1.13

1.13

1.13

CS-CA

3.21

2.98

3.51

3.71

3.24

3.51

1.32

1.12

1.31

1.44

1.44

1.35

CS-MA

3.35

4.21

4.52

4.00

4.23

4.31

1.32

1.85

2.03

1.81

1.81

1.89

Oak-CA

0.80

2.88

2.76

1.77

1.94

2.00

0.29

1.03

1.09

0.57

0.57

0.66

Oak-DA

2.41

2.54

3.04

2.63

1.83

2.35

0.98

1.23

1.46

1.22

1.22

1.22

Oak-MA

3.43

2.67

2.70

3.03

2.98

3.12

1.55

1.01

1.04

1.20

1.20

1.25

Oak-PAA

2.73

2.95

3.01

2.63

2.59

2.66

1.12

1.13

1.18

0.99

0.99

1.00

Willow-DA

2.74

2.78

2.61

2.89

3.31

2.83

1.14

1.15

0.99

1.16

1.16

1.13

Willow-PAA

2.45

3.70

3.06

3.21

3.48

3.39

1.05

1.46

1.23

1.32

1.32

1.35

WS-CA

4.63

3.43

3.74

3.49

3.67

3.49

1.87

0.93

1.42

1.33

1.33

1.32

WS-MA

4.01

4.10

3.29

3.47

3.43

3.37

1.92

1.63

1.29

1.41

1.41

1.37

Q2

 

−0.161

0.374

0.676

0.574

0.607

 

−0.315

0.044

0.539

0.500

0.555

  1. Bold: models selected for analyzing the SR of the peaks in the EA-GC-MS data-sets.