Dating back from the 1980s to present, mammalian cell culture processes continue to evolve in order to maximize protein production, improve product quality, and accelerate development and commercialization. A wide range of techniques have been used from simple batch to fed-batch to the more complex perfusion culture as a way to optimize the process [1]. Fed-batch is most prevalent in cell culture processes today due to the operational ease, flexibility, and robustness it provides. As a direct result of ongoing optimizations over the last 30 years, cell culture process yields have increased 1,000-fold from 10 mg/L to 10 g/L today [2,3]. The rise in protein titers was made possible by boosting cell mass while maintaining cell viability and productivity via finely tuned fed-batch processing [3,4]. A new frontier to further improve cell culture process robustness and consistency is advanced process control. In this chapter, we review approaches to monitoring and controlling cell culture variables during culture production processes. Over the last 15 years, more sophisticated monitoring and control approaches have found their way into cell culture process optimization and control making use of automated sampling with metabolite analytics, new sensor technology, and multivariate data analysis [5][6][7][8]. Therefore, to improve process robustness and ease of control, integrating the use of advanced in situ sensors would eliminate the need for culture sampling and would allow modeling and monitoring parameters that go beyond pH and DO and include cell mass, culture metabolites, product concentration, and product quality.In the following sections we will review aspects of automated sampling and in-line metabolite analysis, dielectric spectroscopy, fluorescence spectroscopy, near infrared spectroscopy, and Raman spectroscopy in context of monitoring and control of cell culture production processes. In particular, the availability and use of multivariate data analysis systems has enabled the acquisition and use of complex data streams, which in combination with spectroscopic sensors has enabled the building of process models that can depict a variety of process parameters including metabolites and cell mass.Either direct measurements or modeling using internal or external sensors can be used to further automate and optimize today's culture production processes. As one outcome, we expect that in the near future culture sampling can be reduced signifiBrought to you by | New York University Bobst Library Technical Services Authenticated Download Date | 7/6/15 12:02 PM