Digital Proxy of a Bio-Reactor (DIYBOT) combines sensor data and data analytics to improve greywater treatment and wastewater management systems.

Autor: McLamore ES; Agricultural and Biological Engineering, Institute of Food and Agricultural Sciences, University of Florida, Gainesville, FL, 32611, USA. emclamor@ufl.edu., Huffaker R; Agricultural and Biological Engineering, Institute of Food and Agricultural Sciences, University of Florida, Gainesville, FL, 32611, USA., Shupler M; School of Population and Public Health, University of British Columbia, 2206 E Mall, Vancouver, BC V6T 1Z3, Canada., Ward K; Agricultural and Biological Engineering, Institute of Food and Agricultural Sciences, University of Florida, Gainesville, FL, 32611, USA., Datta SPA; Agricultural and Biological Engineering, Institute of Food and Agricultural Sciences, University of Florida, Gainesville, FL, 32611, USA.; MIT Auto-ID Labs, Department of Mechanical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, 02139, USA.; MDPnP Interoperability and Cybersecurity Labs, Biomedical Engineering Program, Department of Anesthesiology, Massachusetts General Hospital, Harvard Medical School, 65 Landsdowne Street, Cambridge, MA, 02139, USA.; NSF Center for Robots and Sensors for Human Well-Being, Purdue University, 156 Knoy Hall, Purdue Polytechnic, West Lafayette, IN, 47907, USA., Katherine Banks M; Civil Engineering, Texas A&M University, College Station, TX USA, College Station, TX, 77843, USA., Casaburi G; Department of Microbiology and Cell Science, University of Florida, Space Life Science Lab, Merritt Island, FL, 32953, USA., Babilonia J; Department of Microbiology and Cell Science, University of Florida, Space Life Science Lab, Merritt Island, FL, 32953, USA., Foster JS; Department of Microbiology and Cell Science, University of Florida, Space Life Science Lab, Merritt Island, FL, 32953, USA.
Jazyk: angličtina
Zdroj: Scientific reports [Sci Rep] 2020 May 15; Vol. 10 (1), pp. 8015. Date of Electronic Publication: 2020 May 15.
DOI: 10.1038/s41598-020-64789-5
Abstrakt: Technologies to treat wastewater in decentralized systems are critical for sustainable development. Bioreactors are suitable for low-energy removal of inorganic and organic compounds, particularly for non-potable applications where a small footprint is required. One of the main problems associated with bioreactor use is sporadic spikes of chemical toxins, including nanoparticles. Here, we describe the development of DIYBOT (Digital Proxy of a Bio-Reactor), which enables remote monitoring of bioreactors and uses the data to inform decisions related to systems management. To test DIYBOT, a household-scale membrane aerated bioreactor with real-time water quality sensors was used to treat household greywater simulant. After reaching steady-state, silver nanoparticles (AgNP) representative of the mixture found in laundry wastewater were injected into the system to represent a chemical contamination. Measurements of carbon metabolism, effluent water quality, biofilm sloughing rate, and microbial diversity were characterized after nanoparticle exposure. Real-time sensor data were analyzed to reconstruct phase-space dynamics and extrapolate a phenomenological digital proxy to evaluate system performance. The management implication of the stable-focus dynamics, reconstructed from observed data, is that the bioreactor self-corrects in response to contamination spikes at AgNP levels below 2.0 mg/L. DIYBOT may help reduce the frequency of human-in-the-loop corrective management actions for wastewater processing.
Databáze: MEDLINE
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