Integrating a Programmable Robotic Bioreactor System with a Biochemical Analyzer for Real-time Analysis

Integrating a Programmable Robotic Bioreactor System with a Biochemical Analyzer for Real-time Analysis

04/17/2018, 10:30 AM - 11:15 AM

Technical Conference Stage 1, Booth 1076, Exhibit Hall


High-throughput bioreactor robotic systems have started to replace traditional, labor and time intensive methods of using shake flasks and stirred tank reactors for conducting cell culture experiments but samples from them still need to be assayed off line for measuring cell and product attributes. In this work, we successfully coupled the automated multireactor system with an on-line biochemical analyzer which simultaneously addresses the need for a high screening platform and measuring parameters such as cell density, viability, dissolved gases, and metabolite concentrations. A case-study investigated cell density and viability maximization using 6 batch and fed-batch CHO cell cultures (less than 20 mL) where each culture had its own unique automated glucose feeding strategy based on glucose measurements. An optimal cell density of 33 million cells/mL and cell viability of 98% was reached with an initial cell density of 0.3 million cells/mL and feed strategy maintaining glucose levels at 8 g/L. The casestudy demonstrates the capability of the integrated automated and analytic platform to optimize the culture data obtained through online methods and to enhance process development capabilities.


  • Jean-François Hamel


    Director, Undergraduate Teaching Laboratories

    Massachusetts Institute of Technology

  • Richard Rollins


    Marketing Manager

    Nova Biomedical

Type of Session

  1. Type of Session

Learning Objectives

  1. Learning Objectives 1. Understand the capabilities of an automated multi-reactor system and a biochemical analyzer and the increased throughput in obtaining data by integrating and automating the systems. 2. Understand the capability of integration to perform feedback and feed-forward feeding strategy on CHO cell culture based on glucose metabolite. 3. See how an integrated platform can automate real time secondary data analysis and implement it in an automated control strategy.


  1. Track
    Optimizing Facilities through Innovation & Technologies

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