Evidence map›Paper›PMID 32415099›Full record

ArticleScientific reports2020

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

Eric S McLamore, Ray Huffaker, Matthew Shupler, Katelyn Ward, Shoumen Palit Austin Datta, M Katherine Banks, Giorgio Casaburi, Joany Babilonia, Jamie S Foster

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 30% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 8 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 2 countries.

Eric S McLamoreAgricultural and Biological Engineering, Institute of Food and Agricultural Sciences, University of Florida, Gainesville, FL, 32611, USA. emclamor@ufl.edu.
Ray HuffakerAgricultural and Biological Engineering, Institute of Food and Agricultural Sciences, University of Florida, Gainesville, FL, 32611, USA.
Matthew ShuplerSchool of Population and Public Health, University of British Columbia, 2206 E Mall, Vancouver, BC V6T 1Z3, Canada.
Katelyn WardAgricultural and Biological Engineering, Institute of Food and Agricultural Sciences, University of Florida, Gainesville, FL, 32611, USA.
Shoumen Palit Austin DattaAgricultural and Biological Engineering, Institute of Food and Agricultural Sciences, University of Florida, Gainesville, FL, 32611, USA.
M Katherine BanksCivil Engineering, Texas A&M University, College Station, TX USA, College Station, TX, 77843, USA.
Giorgio CasaburiDepartment of Microbiology and Cell Science, University of Florida, Space Life Science Lab, Merritt Island, FL, 32953, USA.
Joany BabiloniaDepartment of Microbiology and Cell Science, University of Florida, Space Life Science Lab, Merritt Island, FL, 32953, USA.
Jamie S FosterDepartment of Microbiology and Cell Science, University of Florida, Space Life Science Lab, Merritt Island, FL, 32953, USA.
University of Florida · USKennedy Space Center · USMassachusetts Institute of Technology · USTexas A&M University · USUniversity of British Columbia · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Identifiers

PMID32415099
PMCPMC7229150
OpenAlexW3025458177

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.