Buffer Make-up Comparison: Continuous Inline versus Cycling Batch

Buffer Make-up Comparison: Continuous Inline versus Cycling Batch

03/21/2017, 11:30 AM - 12:15 PM

Meeting Room 1


Column Chromatography is frequently used to purify proteins. Large volumes of buffers are required to operate chromatography columns continuously. Oftentimes, buffer make-up is overlooked as to its' complexity and cost of equipment and operational costs. In order to help illustrate the difference between batch and in-line this seminar will compare cycling batch with continuous in-line buffer make-up operations for two typical bioprocessing plants of about 8 buffers each. In each case the facility will be designed for optimum batch cycle time, storage capacity, the corrosion aspects of the buffers, and space requirements. The two case studies will consider operational performance, human intervention, capital equipment cost, building square footage requirements and buffer variability. The comparison will highlight the pros and cons of each approach and when one method could be considered advantageous over the other.


  • Gregory Lepak


    Biochemical Process Engineer


    Twenty-five years of experience in process development, process design, process equipment scale-up, engineering design management, utility...

  • Craig Sandstrom


    Director Process Engineering



Type of Session

  1. Type of Session

Learning Objectives

  1. Learning Objectives 1. Attendees will be presented with the complexities of batch buffer make-up: cycle time, equipment sizing, facility space requirements, equipment costs, operational requirements of sampling, analytical and CIP. 2. Attendees will be presented with the fundamental complexities of in-line buffer dilution make-up: concentrate buffer make-up, in-line blending variability, in-line analytical measurements, facility space requirements, equipment costs, and CIP. 3. Attendees will be able to recognize the advantages and disadvantages of in-line versus batch buffer make-up systems so as to apply these insights toward their own buffer make-up operations.


  1. Track
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