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Lecture 3 bioprocess control

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  • 1. Bioprocess Control
    (On-line, off-line and in-line)
    14th. July 2010
    CEPP, UTM Skudai, Johor
    Prof. Dr. Hesham A. El Enshasy
    Faculty of Chemical Engineering
    CEPP, UTM, Skudai, Malaysia
  • 2. Main Items of Presentation
    Cell Input and Cell out-put (conditions and nutrients requirements)
    Parameters for measurements and control for cultivation system
    Sensors used for bioreactors
    Feed back loops for bioprocess control
    Summary screen for different control system
    SCADA system for control using ethernet platform
  • 3. Cell In-put and Cell Out-put
  • 4. Substrate(s) Input and Output
    Oxygen
    Carbon dioxide
    Carbon and Energy
    Sources
    Biomass
    CELL
    Metabolite(s)
    Nitrogen Source
    Water
    Other requirements
    (P, S,Na,K,Mg,etc…)
    Heat
  • 5. Different Parameters for cultivation system
  • 6. Integrated of Mathematical Methods for Advanced Process Control
    Ref. (Clementschitsch and Bayer. Microbial Cell Factories 5:19 (2006)
  • 7. Input and Output of Bioreactor system (General overview)
  • 8. Main in situ sensors used for measuring cultivation parameters
  • 9. Exhaust gas
    Analyzer
    Feed pump(s)
    pH
    Temperature
    DO
    Aeration
    Pressure
    Power consumption
    Weight / volume
    Stirrer Speed
    Measurement and open or closed loop control
    Measurement only
    Common measurement and control of bioreactors as
    generally accepted as routine equipment
  • 10.
  • 11. Lower ports for in situ sterilizable STR
  • 12. Upper/lower ports and Headplate
  • 13. pH values of different liquids
  • 14. pH and hydrogen ion concentration
  • 15. pH measuring circuit and pH meter construction
  • 16. Temperature Effect on pH value
  • 17. Temperature Error Table
  • 18. DO meter construction
  • 19. The relation between DO and Temperature
  • 20. Standard Antifoam Sensor
    Type of foam:
    Early foaming
    Late foaming
    Antifoam effects on:
    DO
    Growth morphology
    (Filamentous MO)
    Foam sensors:
    Low foam sensor
    High foam sensor
  • 21. On-line cell mass determination methods
  • 22. On-line cell mass and viability measurement
    Theory:
    Cells with intact plama membranes act like tiny capacitors under the influence of electric field. The nonconducting nature of plasma membranes allows charge to build up. The resulting capacitance can be measured and is usually expressed in picofarad per centimeter (pF/cm). It depends on the cell type and is directly proportional to membrane bound volume of viable cells.
  • 23. Controlling stat-culture
  • 24. Feedback and Feedforward controllers
    Feedback control:A control algorithm to reduce the error between the set point and the controlled variable (most often PID or model predictive controller algorithm is used)
    Feedforward control: A computation of the manipulated variable from a measurement of the disturbance (most often corrected by a PID or model predictive controller)
  • 25. Basic feedback loops for a fungal culture for antibiotic production
  • 26. Basic feedback loops for microbial high cell density formation
  • 27. Bioreactor Input and Output for basic PID control feed
  • 28.
  • 29.
  • 30.
  • 31.
  • 32.
  • 33. Connections to USB, controller software and Ethernet for SCADA
  • 34. Supervisory Control and Data Acquisition syste (SCADA)
  • 35. Thank You

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