Water Institute and Department of Microbiology, Stellenbosch University, Stellenbosch, South Africa.
Department of Process Engineering, Stellenbosch University, Stellenbosch, South Africa.
PLoS One. 2021 Mar 4;16(3):e0247910. doi: 10.1371/journal.pone.0247910. eCollection 2021.
Fundamental ecological principles of ecosystem-level respiration are extensively applied in greenhouse gas and elemental cycle studies. A laboratory system termed CEMS (Carbon Dioxide Evolution Measurement System), developed to explore microbial biofilm growth and metabolic responses, was evaluated as an early-warning system for microbial disturbances in industrial settings: in (a) potable water system contamination, and (b) bioreactor inhibition. Respiration was detected as CO2 production, rather than O2 consumption, including aerobic and anaerobic metabolism. Design, thresholds, and benefits of the remote CO2 monitoring technology were described. Headspace CO2 correlated with contamination levels, as well as chemical (R2 > 0.83-0.96) and microbiological water quality indicators (R2 > 0.78-0.88). Detection thresholds were limiting factors in monitoring drinking water to national and international standards (0 CFU/100 mL fecal coliforms) in both open- (>1500 CFU/mL) and closed-loop CO2 measuring regimes (>100 CFU/100 mL). However, closed-loop detection thresholds allow for the detection of significant contamination events, and monitoring less stringent systems such as irrigation water (<100 CFU/mL). Whole-system respiration was effectively harnessed as an early-warning system in bioreactor performance monitoring. Models were used to deconvolute biological CO2 fluctuations from chemical CO2 dynamics, to optimize this real-time, sustainable, low-waste technology, facilitating timeous responses to biological disturbances in bioreactors.
生态系统水平呼吸的基本生态原则在温室气体和元素循环研究中得到了广泛应用。一种称为 CEMS(二氧化碳释放测量系统)的实验室系统被开发出来,用于探索微生物生物膜的生长和代谢反应,该系统被评估为工业环境中微生物干扰的预警系统:(a)饮用水系统污染,以及(b)生物反应器抑制。呼吸被检测为 CO2 的产生,而不是 O2 的消耗,包括有氧和无氧代谢。描述了远程 CO2 监测技术的设计、阈值和优点。顶空 CO2 与污染水平以及化学(R2>0.83-0.96)和微生物水质指标(R2>0.78-0.88)相关。在监测饮用水是否符合国家和国际标准(0 CFU/100 mL 粪大肠菌群)时,检测阈值是限制因素,在开放式(>1500 CFU/mL)和闭环 CO2 测量系统中(>100 CFU/100 mL)都存在限制。然而,闭环检测阈值允许检测到显著的污染事件,并监测更宽松的系统,如灌溉水(<100 CFU/mL)。整个系统的呼吸被有效地用作生物反应器性能监测的预警系统。模型被用来从化学 CO2 动力学中解卷积生物 CO2 波动,以优化这种实时、可持续、低废物的技术,从而及时响应生物反应器中的生物干扰。