Predicting Anaerobic Membrane Bioreactor Performance Using Flow-Cytometry-Derived High and Low Nucleic Acid Content Cells

Author:

Cheng Hong12ORCID,Medina Julie Sanchez23,Zhou Jianqiang24,Pinho Eduardo Machado25,Meng Rui67,Wang Liuwei89,He Qiang1,Morán Xosé Anxelu G.10,Hong Pei-Ying23ORCID

Affiliation:

1. Key Laboratory of Eco-environments in Three Gorges Reservoir Region, Ministry of Education, College of Environment and Ecology, Chongqing University, Chongqing 400044, People’s Republic of China

2. Environmental Science and Engineering Program, Biological and Environmental Sciences & Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia

3. Water Desalination and Reuse Center (WDRC), Biological and Environmental Sciences & Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia

4. State Power Investment Corporation Research Institute, Beijing 102209, People’s Republic of China

5. Department of Bioengineering, Faculty of Engineering, University of Porto, 4099-002 Porto, Portugal

6. Lawrence Berkeley National Laboratory, Berkeley, California 94301, United States

7. Amazon, Incorporated, Palo Alto, California 94301, United States

8. Systems Medicine of Infectious Disease (P5), Robert Koch Institute, 13353 Berlin, Germany

9. Department of Mathematics and Computer Science, Freie Universität Berlin, 10117 Berlin, Germany

10. Red Sea Research Center, Biological and Environmental Science & Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia

Funder

King Abdullah University of Science and Technology

Publisher

American Chemical Society (ACS)

Subject

Environmental Chemistry,General Chemistry

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