Murphy Loyal P, He Q Peter, Wang Jin
Department of Chemical Engineering, Auburn University, Auburn, 36849, AL, USA.
Department of Chemical Engineering, Auburn University, Auburn, 36849, AL, USA.
J Environ Manage. 2025 Aug;389:125824. doi: 10.1016/j.jenvman.2025.125824. Epub 2025 Jun 3.
Anaerobic digestion (AD) is a well-established waste-to-value technology commonly used at water resource recovery facilities (WRRFs), generating biogas from organic waste. However, the generated biogas is typically used only for heat and electricity generation due to contaminants, while the nutrient-rich AD effluent requires further treatment before environmental release. Methanotroph-microalgae cocultures have recently emerged as promising candidates for integrated biogas valorization and nutrient recovery. Although the choice of the coculture pairs is one of the most important factors that determine the performance of the application, there have not been any results on the comparison or screening of different coculture pairs for a desired application. To expedite the screening of methanotroph-microalgae cocultures for optimal performance, we developed a cost-effective screening system consisting of nine parallel bioreactors. The compact design of the system allows it to fit in a fume hood, and enables the simultaneous evaluation of multiple species with triplicates under uniformly controlled conditions. The system was applied to screen seven methanotrophs, five microalgae, and six methanotroph-microalgae coculture pairs on a diluted AD effluent from a local WRRF. To systematically assess the growth performance of different monocultures and cocultures, mathematical models that describe the microbial growth under batch cultivation were developed to determine the maximum growth rate, delay time, and carrying capacity from growth data, allowing for consistent and systematic assessment of different species, as well as the identification of the coculture pairs with synergistic and inhibitory interactions. The developed experimental system and modeling approach enabled expedited strain screening and unbiased assessment for integrated biogas valorization and nutrient recovery. Specifically, the cost of each bioreactor system in S3 is less than 5 % of commercially available bioreactor system (such as Bioflo 120), while the screening throughput of S3 is 9 times that of a single bioreactor system. In addition, the identified synergistic cocultures demonstrate potential for scalable biogas valorization and nutrient recovery in wastewater treatment.
厌氧消化(AD)是一种成熟的废物转化为价值的技术,常用于水资源回收设施(WRRFs),可从有机废物中产生沼气。然而,由于含有污染物,所产生的沼气通常仅用于发电和供热,而富含营养的AD流出物在排放到环境之前需要进一步处理。甲烷氧化菌 - 微藻共培养物最近已成为沼气综合利用和养分回收的有前途的候选者。尽管共培养对的选择是决定应用性能的最重要因素之一,但尚未有关于针对特定应用对不同共培养对进行比较或筛选的任何结果。为了加快对甲烷氧化菌 - 微藻共培养物的筛选以实现最佳性能,我们开发了一种具有成本效益的筛选系统,该系统由九个平行生物反应器组成。该系统的紧凑设计使其能够安装在通风橱中,并能够在均匀控制的条件下对多个物种进行一式三份的同时评估。该系统应用于从当地WRRF的稀释AD流出物中筛选七种甲烷氧化菌、五种微藻和六种甲烷氧化菌 - 微藻共培养对。为了系统地评估不同单培养物和共培养物的生长性能,开发了描述分批培养下微生物生长的数学模型,以根据生长数据确定最大生长速率、延迟时间和承载能力,从而能够对不同物种进行一致且系统的评估,并识别具有协同和抑制相互作用的共培养对。所开发的实验系统和建模方法能够加快菌株筛选,并对沼气综合利用和养分回收进行无偏评估。具体而言,S3中每个生物反应器系统的成本不到市售生物反应器系统(如Bioflo 120)的5%,而S3的筛选通量是单个生物反应器系统的9倍。此外,所确定的协同共培养物在废水处理中的沼气规模化利用和养分回收方面显示出潜力。