研究目的
To develop a microfluidic bioreactor integrated with an optical fiber sensor for the online monitoring of cell growth, enabling fast screening and analysis of microbial kinetics.
研究成果
The developed microfluidic bioreactor integrated with an optical fiber sensor effectively monitored cell growth in real-time, showing results comparable to traditional methods. The system's modular design allows for physical separation of the detection system from the fermentation process, offering reversibility and potential for broader applications in microbial kinetics studies.
研究不足
The study was limited to the monitoring of Saccharomyces cerevisiae growth under specific conditions. The optical fiber sensor's accuracy is dependent on the calibration and the assumption of direct proportionality between light scattering and cell concentration. Future work could explore broader applications and optimizations for different microorganisms and conditions.
1:Experimental Design and Method Selection:
The study involved the fabrication of a microfluidic bioreactor by curing PDMS over 3D-printed molds, integrating optical fibers for online cell growth analysis. The design allowed for the mixture of reagents and generation of concentration gradients, with perfusion chambers isolated by polycarbonate membranes.
2:Sample Selection and Data Sources:
Saccharomyces cerevisiae ATCC 7754 cells were cultivated in YPD medium, with concentrations adjusted for experimentation.
3:List of Experimental Equipment and Materials:
Included a Form 2 Desktop Stereolithography 3D Printer, PDMS (Sylgard 184), polycarbonate membranes, single-mode optical fibers, a syringe pump (PHD Ultra, Harvard Apparatus), and a photodetection system.
4:Experimental Procedures and Operational Workflow:
The bioreactor was fabricated, cells were inoculated in microchambers, and the optical fiber sensor monitored cell growth through quasi-elastic light scattering.
5:Data Analysis Methods:
The autocorrelation of reflected light intensity data was used to infer cell concentration, with results compared to traditional cell counting methods.
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