Multivariate statistical process control (MSPC) using Raman spectroscopy for in-line culture cell monitoring considering time-varying batches synchronized with correlation optimized warping (COW)

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• 作者：Ya-Juan Liu^a ; Silvè ; re André ; ^a ; Lydia Saint Cristau^b ; Sylvain Lagresle^c ; Zahia Hannas^c ; É ; ric Calvosa^b ; Olivier Devos^a ; Ludovic Duponchel^a ; ^{ludovic.duponchel@univ-lille1.fr}
• 关键词：Cell culture ; Raman spectroscopy ; Chemometrics ; Multivariate statistical process control (MSPC) ; Correlation optimized warping (COW) ; Multi-way principal component analysis (MPCA)
• 刊名：Analytica Chimica Acta
• 出版年：2017
• 出版时间：1 February 2017
• 年：2017
• 卷：952
• 期：Complete
• 页码：9-17
• 全文大小：2287 K
• 卷排序：952

文摘

Multi-way principal component analysis (MPCA) is applied on Raman spectra for MSPC monitoring of cell cultures. Correlation Optimized Warping is used to synchronize batches with varying durations analyzed with Raman spectroscopy. Early contamination is detected with this tool while it is only observed more than 200 h through a visual inspection.