Anaerobic digestion bacteria algae (ADBA): A mathematical model of mixotrophic algal growth with indigenous bacterial inhibition in anaerobic digestion effluent

IF 20.2 Q1 MATERIALS SCIENCE, PAPER & WOOD
S M Hasan Shahriar Rahat , Oluwatunmise Israel Dada , Liang Yu , Helmut Kirchhoff , Shulin Chen
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Abstract

A comprehensive kinetic model called anaerobic digestion bacteria algae (ADBA) was developed to describe and predict the complex algae-bacterial system in anaerobic digestion (AD) wastewater under mixotrophic growth conditions. The model was calibrated and validated using the experimental growth data from cultivating the algae (Chlorella vulgaris CA1) with its indigenous bacteria in Blue Green 11 (BG-11) media and different combinations of sterilized, diluted, and raw AD effluent. Key parameters were obtained, including the distinct maximum growth rate of algae on CO2 (μa,CO2, 1.23 per day) and organic carbon (μa,OC, 3.30 per day), the maximum growth rate of bacteria (µb, 1.20 per day), along with two noble parameters, i.e., the algae-bacteria interaction exponent (n, 0.03) and the growth inhibition coefficient (ae = 30 000 mg/L per AU) due to effluent turbidity. The model showed a good fit with an average R2 = 0.90 in all cases adjusted with 25 kinetic parameters. This was the first model capable of predicting algal and bacterial growth in AD effluent with their competitive interactions, assuming shifting growth modes of algae on organic and inorganic carbon under light. It could also predict the removal rate of substrate and nutrients from effluent, light inhibition due to biomass shading and effluent turbidity, mass transfer rate of O2 and CO2 from gas phase to liquid phase, and pH-driven equilibrium between dissolved inorganic carbon components (CO2, HCO3, and CO32–). Algal growth in the strongly buffered AD effluent resulted in odor removal, turbidity reduction, and the removal of ∼80% of total ammonium-nitrogen and 90% of organic carbon. In addition to process parameter prediction, this study offered a practical solution to wastewater treatment, air pollution, and nutrient recycling, ensuring a holistic and practical approach to ecological balance.

Abstract Image

厌氧消化细菌藻类(ADBA):厌氧消化废水中混合营养藻类生长的数学模型
建立了厌氧消化细菌藻类(ADBA)综合动力学模型,用于描述和预测混合营养条件下厌氧消化废水中复杂的藻类-细菌系统。利用蓝绿11 (BG-11)培养基和不同组合的灭菌、稀释和原AD出水培养的原生细菌培养小球藻(Chlorella vulgaris CA1)的实验生长数据,对模型进行了校准和验证。关键参数包括藻类对CO2 (μa,CO2, 1.23 / d)和有机碳(μa,OC, 3.30 / d)的最大生长速率,细菌的最大生长速率(μ b, 1.20 / d),以及出水浊度引起的藻菌相互作用指数(n, 0.03)和生长抑制系数(ae = 30 000 mg/L / AU)两个重要参数。在25个动力学参数下,模型拟合良好,平均R2 = 0.90。这是第一个能够预测AD废水中藻类和细菌生长及其竞争相互作用的模型,假设藻类在光照下在有机碳和无机碳上的生长模式发生变化。它还可以预测出水中底物和营养物质的去除率、生物质遮荫和出水浊度引起的光抑制、O2和CO2从气相到液相的传质速率以及溶解的无机碳组分(CO2、HCO3 -和CO32 -)之间的ph驱动平衡。海藻在强缓冲的AD出水中生长,导致异味去除、浊度降低、总氨氮去除~ 80%和有机碳去除90%。除了工艺参数预测外,本研究还为废水处理、大气污染和养分回收提供了切实可行的解决方案,确保了生态平衡的整体性和实用性。
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来源期刊
Journal of Bioresources and Bioproducts
Journal of Bioresources and Bioproducts Agricultural and Biological Sciences-Forestry
CiteScore
39.30
自引率
0.00%
发文量
38
审稿时长
12 weeks
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