Characterization and optimization of acoustic filter performance by experimental design methodology

Biotechnol Bioeng. 2005 Jun 20;90(6):746-53. doi: 10.1002/bit.20476.

Abstract

Acoustic cell filters operate at high separation efficiencies with minimal fouling and have provided a practical alternative for up to 200 L/d perfusion cultures. However, the operation of cell retention systems depends on several settings that should be adjusted depending on the cell concentration and perfusion rate. The impact of operating variables on the separation efficiency performance of a 10-L acoustic separator was characterized using a factorial design of experiments. For the recirculation mode of separator operation, bioreactor cell concentration, perfusion rate, power input, stop time and recirculation ratio were studied using a fractional factorial 2(5-1) design, augmented with axial and center point runs. One complete replicate of the experiment was carried out, consisting of 32 more runs, at 8 runs per day. Separation efficiency was the primary response and it was fitted by a second-order model using restricted maximum likelihood estimation. By backward elimination, the model equation for both experiments was reduced to 14 significant terms. The response surface model for the separation efficiency was tested using additional independent data to check the accuracy of its predictions, to explore robust operation ranges and to optimize separator performance. A recirculation ratio of 1.5 and a stop time of 2 s improved the separator performance over a wide range of separator operation. At power input of 5 W the broad range of robust high SE performance (95% or higher) was raised to over 8 L/d. The reproducible model testing results over a total period of 3 months illustrate both the stable separator performance and the applicability of the model developed to long-term perfusion cultures.

Publication types

  • Evaluation Study
  • Research Support, Non-U.S. Gov't
  • Validation Study

MeSH terms

  • Acoustics / instrumentation*
  • Animals
  • CHO Cells
  • Cell Separation / instrumentation*
  • Cell Separation / methods*
  • Computer Simulation
  • Computer-Aided Design
  • Cricetinae
  • Cricetulus
  • Equipment Design / methods
  • Equipment Failure Analysis / methods*
  • Microfluidics / instrumentation
  • Microfluidics / methods
  • Models, Biological*
  • Ultrafiltration / instrumentation*
  • Ultrafiltration / methods*