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A noninvasive online system for biomass monitoring in shaker flasks using backward scattered light

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Abstract

This paper presents a noninvasive optical sensor system for monitoring cell growth in shaker flasks commonly used in biological laboratories. The system uses an open-source microprocessor board to monitor concentration of Escherichia coli host cells. To allow measurement for a range of filling degrees and shaker speeds, the backscattering angle is chosen to minimize interference from surface reflections and the measurement window is synchronized to the position of the shaker flask. A nonlinear calibration model of scattered light can predict offline optical density with a mean relative error of 5.2%, an accuracy which is comparable to the classical offline method and sufficient for biotechnology applications.

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Authors and Affiliations

  1. College of Mechanical Engineering, Shanghai University of Engineering Science, Shanghai, China

    Jian Mao & Yingge Yan

  2. The Guangzhou Institute of Advanced Technology, Chinese Academy of Sciences (GIAT), Guangzhou, China

    Yingge Yan, Olaf Eichstädt, Xianshuai Chen, Zuowei Wang & Jinming Cui

Authors
  1. Jian Mao
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  2. Yingge Yan
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  3. Olaf Eichstädt
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  4. Xianshuai Chen
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  5. Zuowei Wang
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  6. Jinming Cui
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Corresponding authors

Correspondence to Jian Mao or Jinming Cui.

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Mao, J., Yan, Y., Eichstädt, O. et al. A noninvasive online system for biomass monitoring in shaker flasks using backward scattered light. Biotechnol Bioproc E 22, 161–169 (2017). https://doi.org/10.1007/s12257-016-0338-7

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  • DOI: https://doi.org/10.1007/s12257-016-0338-7

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