| 초록 |
As biofuels, they are a perfect substitute to liquid fossil fuels with respect to cost, renewability, and environmental concerns. Biofuels derived from microalgae showed promising potential as a future renewable bioenergy source. Here, we demonstrate a screening randomly mutated Yarroiwa Lipolytica library and sort out the target subsets exhibiting higher growth rate and increased lipid production by using valve based microfluidic sorter (μFADS). First, we generate the cell-encapsulated alginate droplets through a flow-focusing device and perform the gelation process through calcium ion releasing by lowering pH condition. Then, the Y. Lipolytica cells were cultured in alginate gels that functioned as an individual micro-reactor and re-injected into μFADS to evaluate their capacity and sort target cells. As a result, the alginate gels containing cells showing 1.5 – 2 times higher growth and lipid production rate were selectively retrieved compared to the cells in the waste channel. |
