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Fig. 1 | Bioresources and Bioprocessing

Fig. 1

From: Bigdata analytics identifies metabolic inhibitors and promoters for productivity improvement and optimization of monoclonal antibody (mAb) production process

Fig. 1

Batch decomposition: a This is a direct capture of the methodology that the data are uploaded into SIMCA. Each row contains the data from one reactor (i.e., V201, V202, etc.). Each column contains data for a parameter such as pH, metabolite concentration, or other parameter for a given time point. b This shows the methodology that a batch evolution model (BEM) is converted to a batch level model (BLM). The first matrix shown on the far left represents the method that the BEM has stored the data as shown in a. Then, the second matrix (middle) shows how the BLM takes a portion of this matrix in the form of capturing the data for a single parameter (such as pH or a given metabolite concentration). Finally, the matrix on the right shows how the data for a BLM are inputted into SIMCA. This final matrix shows that the matrix being analyzed by the BLM contains data for one parameter for all the batches for every time point. The BLM is capable of analyzing the multiple matrices that are produced via this methodology for each parameter that is being analyzed

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