2007
DOI: 10.1007/s10439-007-9399-2
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Enabling Sensor Technologies for the Quantitative Evaluation of Engineered Tissue

Abstract: Research in regenerative medicine has necessitated the need for advanced sensing technologies to monitor and evaluate the quality of engineered tissues. Several sensing schemes have been developed to sense specific analytes that enable researchers to assess tissue morphology, growth, and function. In addition to microscopy and staining techniques, tissue engineers are presented with an array of optical, chemical, and biological sensor technologies, which provide them with an opportunity to monitor variables, s… Show more

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Cited by 30 publications
(14 citation statements)
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“…This is attributed to the lack of robust bioprocess control in the closed system "black box" bioreactor . Multiple bioprocess monitoring techniques exist, primarily originating in the biopharmaceutical bioreactor industry, that can quantitatively measure physicochemical process parameters, such as temperature, pH, dissolved O 2 , glucose concentration, and metabolic activity (Bluma et al, 2011;Rolfe, 2006;Starly and Choubey, 2008;Ward et al, 2013;Zhou et al, 2013). However, a direct transfer of the biopharmaceutical monitoring and control strategies to TE bioreactors is not straightforward.…”
Section: Introductionmentioning
confidence: 99%
“…This is attributed to the lack of robust bioprocess control in the closed system "black box" bioreactor . Multiple bioprocess monitoring techniques exist, primarily originating in the biopharmaceutical bioreactor industry, that can quantitatively measure physicochemical process parameters, such as temperature, pH, dissolved O 2 , glucose concentration, and metabolic activity (Bluma et al, 2011;Rolfe, 2006;Starly and Choubey, 2008;Ward et al, 2013;Zhou et al, 2013). However, a direct transfer of the biopharmaceutical monitoring and control strategies to TE bioreactors is not straightforward.…”
Section: Introductionmentioning
confidence: 99%
“…Although these assays provide a quantitative prediction of the concentration of the analyte, these techniques cannot be used over a continuous period on the same sample. Detailed reviews on the available real time sensor technologies have been published by the authors and others (Starly and Choubey 2007;Marazuela and Moreno-Bondi 2001).…”
Section: Introductionmentioning
confidence: 99%
“…for optimal sensor functions. [6][7][8] As it is very difficult to predict how different cell types interact with newly designed material surfaces, it is crucial to investigate cell-to-material interfaces. These studies might be indicative for potential in vivo performance of a new implant.…”
mentioning
confidence: 99%