Are you missing sources of measurement error?
Measurement of dissolved oxygen (DO) has long been known as a critical control parameter for optimizing cell growth in bioprocesses. Much has been written about different strategies for proper DO control. However, little information has been publicly available regarding optimization of the actual measurement accuracy and reducing common sources of process-related error. This paper aims to divulge these details for the first time. Specific consideration will be given to optical dissolved oxygen measurement which has become the predominant measurement technology in bioprocesses.