Insight into the comprehensive effect of carbon dioxide, light intensity and glucose on heterotrophic-assisted phototrophic microalgae biofilm growth: A multifactorial kinetic model. (1st January 2023)

• Record Type: Journal Article
• Authors: Ye, Yangli; Ma, Shiyan; Peng, Hongyan; Huang, Yun; Zeng, Weida; Xia, Ao; Zhu, Xun; Liao, Qiang
• Is Part Of: Journal of environmental management. Volume 325:Part B(2023)
• Publication Date: 2023-01-01
• Subjects: Microalgae biofilm -- Multifactorial kinetic model -- Heterotrophic-assisted photoautotrophic growth -- Substrate consumption -- CO2 reduction; Environmental policy -- Periodicals; Environmental management -- Periodicals; Environment -- Periodicals; Ecology -- Periodicals; 363.705
• DOI: 10.1016/j.jenvman.2022.116582
• Languages: English
• ISSNs: 0301-4797

Abstract

Abstract: Heterotrophic-assisted photoautotrophic microalgae biofilm cultivation was an alternative way to realize CO2 reduction and wastewater treatment. Growth kinetics supplied a channel to better understand how the cultivation conditions affect microalgal growth and CO2 reduction. However, the two growth modes (heterotroph and photoautotroph) have different needs for organic and inorganic nutrients. Thus, combining the threshold theory and multiplication theory, an integral multifactorial kinetic model that looking insight into the comprehensive effect of glucose, CO2, light intensity, and nitrate was developed for heterotrophic-assisted photoautotrophic microalgae biofilm growth in this study. R 2 between model and experiment was 0.99. It predicted the maximum specific growth rate and maximum CO2 consumption rate of heterotrophic-assisted photoautotrophic microalgae biofilm was 1.868 h −1 and 1.02 h −1, respectively. This model fully explained the influence of the main factors on microalgae biofilm growth and reasonably predicted the growth rate of microalgae biofilm under different growth conditions. Highlights: Hetero-photo microalgae biofilm could be used to fix CO2 and purify wastewater. Kinetic model helps to understand how the conditions affect the biofilm growth. The kinetic involved the comprehensive effect of glucose, CO2, light, and nitrate. The goodness of fit between model and experiment was as high as 0.99. The overall maximum specific growth rate was 1.868 h −1 .