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- W2126989579 abstract "Online and non-invasive quantification of critical tissue engineering (TE) construct quality attributes in TE bioreactors is indispensable for the cost-effective up-scaling and automation of cellular construct manufacturing. However, appropriate monitoring techniques for cellular constructs in bioreactors are still lacking. This study presents a generic and robust approach to determine cell number and metabolic activity of cell-based TE constructs in perfusion bioreactors based on single oxygen sensor data in dynamic perfusion conditions. A data-based mechanistic modeling technique was used that is able to correlate the number of cells within the scaffold (R(2) = 0.80) and the metabolic activity of the cells (R(2) = 0.82) to the dynamics of the oxygen response to step changes in the perfusion rate. This generic non-destructive measurement technique is effective for a large range of cells, from as low as 1.0 × 10(5) cells to potentially multiple millions of cells, and can open-up new possibilities for effective bioprocess monitoring." @default.
- W2126989579 created "2016-06-24" @default.
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- W2126989579 date "2014-07-14" @default.
- W2126989579 modified "2023-10-06" @default.
- W2126989579 title "Model-based cell number quantification using online single-oxygen sensor data for tissue engineering perfusion bioreactors" @default.
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- W2126989579 doi "https://doi.org/10.1002/bit.25274" @default.
- W2126989579 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/24771348" @default.
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