Multivariate Data Analysis for Advancing the Interpretation of Bioprocess Measurement and Monitoring Data - Measurement, Monitoring, Modelling, and Control of Bioprocesses - page 176

High Elisa
Low Elisa Bivariate Score Plot

3

10

9

2

1

3

16

12 30

11

34

1

25

1918

15

26

13

7

27

4

14

20 24

8

33 29

0

32

31

-1

2

5

-2

Cluster B

17

23

21

22

-3

Cluster A

28

6

-4

-4 -3 -2 -1 0 1 2 3 4

First Component

Fig. 3 Example bivariate plot of PC1 versus PC2 for a PCA model of recombinant monoclonal
antibody production cultivation, indicating high (red) and low (red) productivity

High Elisa
Low Elisa
Composition 1
Composition 2

Bivariate Score Plot- Seperation based on Feed Composition

3

2

1

0

-1

-2

-3

Cluster B

Cluster A

-4

-4 -3 -2 -1 0 1 2 3 4

First Component

Fig. 4 Bivariate scores plot from Fig. 3, re-drawn on the basis of different feed composition
(composition 1, black colour; composition 2, red colour)