Cellana LLC, Kailua-Kona, HI, USA.
Bioresour Technol. 2013 Feb;129:329-34. doi: 10.1016/j.biortech.2012.11.082. Epub 2012 Nov 29.
The destruction of mass cultures of microalgae by biological contamination of culture medium is a pervasive and expensive problem, in industry and research. A mathematical model has been formulated that attempts to explain contaminant growth dynamics in closed photobioreactors (PBRs). The model simulates an initial growth phase without PBR dilution, followed by a production phase in which culture is intermittently removed. Contaminants can be introduced at any of these stages. The model shows how exponential growth from low initial inocula can lead to "explosive" growth in the population of contaminants, appearing days to weeks after inoculation. Principal influences are contaminant growth rate, PBR dilution rate, and the size of initial contaminant inoculum. Predictions corresponded closely with observed behavior of two contaminants, Uronema sp. and Neoparamoeba sp., found in operating PBRs. A simple, cheap and effective protocol was developed for short-term prediction of contamination in PBRs, using microscopy and archived samples.
大规模培养微藻的培养液被生物污染而遭到破坏是工业和研究中普遍存在且代价高昂的问题。本文构建了一个数学模型,试图解释密闭光生物反应器(PBR)中污染物的生长动态。该模型模拟了一个没有 PBR 稀释的初始生长阶段,随后是一个间歇去除培养液的生产阶段。污染物可以在这些阶段中的任何一个阶段引入。该模型展示了低初始接种量的指数生长如何导致污染物种群的“爆炸”式增长,这种情况在接种后几天到几周出现。主要影响因素是污染物的生长率、PBR 的稀释率和初始污染物接种量的大小。该模型的预测结果与在运行中的 PBR 中发现的两种污染物(Uronema sp. 和 Neoparamoeba sp.)的观察到的行为非常吻合。本文还开发了一种简单、廉价且有效的短期 PBR 污染预测方案,使用显微镜和存档样本。