| Autor: |
Karam AL; Department of Civil, Construction, and Environmental Engineering, North Carolina State University., McMillan CC; Department of Civil, Construction, and Environmental Engineering, North Carolina State University., Lai YC; Department of Civil, Construction, and Environmental Engineering, North Carolina State University., de Los Reyes FL 3rd; Department of Civil, Construction, and Environmental Engineering, North Carolina State University; fldelosr@ncsu.edu., Sederoff HW; Department of Plant and Microbial Biology, North Carolina State University., Grunden AM; Department of Plant and Microbial Biology, North Carolina State University., Ranjithan RS; Department of Civil, Construction, and Environmental Engineering, North Carolina State University., Levis JW; Department of Civil, Construction, and Environmental Engineering, North Carolina State University., Ducoste JJ; Department of Civil, Construction, and Environmental Engineering, North Carolina State University. |
| Abstrakt: |
The optimal design and operation of photosynthetic bioreactors (PBRs) for microalgal cultivation is essential for improving the environmental and economic performance of microalgae-based biofuel production. Models that estimate microalgal growth under different conditions can help to optimize PBR design and operation. To be effective, the growth parameters used in these models must be accurately determined. Algal growth experiments are often constrained by the dynamic nature of the culture environment, and control systems are needed to accurately determine the kinetic parameters. The first step in setting up a controlled batch experiment is live data acquisition and monitoring. This protocol outlines a process for the assembly and operation of a bench-scale photosynthetic bioreactor that can be used to conduct microalgal growth experiments. This protocol describes how to size and assemble a flat-plate, bench-scale PBR from acrylic. It also details how to configure a PBR with continuous pH, light, and temperature monitoring using a data acquisition and control unit, analog sensors, and open-source data acquisition software. |
