Evidence map›Paper›PMID 31194023›Full record

ReviewWater research X2019

Microalgae and cyanobacteria modeling in water resource recovery facilities: A critical review.

Brian D Shoener, Stephanie M Schramm, Fabrice Béline, Olivier Bernard, Carlos Martínez, Benedek G Plósz, Spencer Snowling, Jean-Philippe Steyer, Borja Valverde-Pérez, Dorottya Wágner and 1 more

Erratum issuedAbstract readReview
In one paragraph

Review in Water research X, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Brian D ShoenerCivil and Environmental Engineering, University of Illinois at Urbana-Champaign, 205 N. Mathews Avenue, Urbana, IL, 61801, USA.
Stephanie M SchrammCivil and Environmental Engineering, University of Illinois at Urbana-Champaign, 205 N. Mathews Avenue, Urbana, IL, 61801, USA.
Fabrice BélineIRSTEA, UR OPAALE, F-35044, Rennes, France.
Olivier BernardUniversité Côte d'Azur, INRIA, Biocore, 2004, Route des Lucioles - BP 93, 06 902, Sophia Antipolis Cedex, France.
Carlos MartínezUniversité Côte d'Azur, INRIA, Biocore, 2004, Route des Lucioles - BP 93, 06 902, Sophia Antipolis Cedex, France.
Benedek G PlószDepartment of Chemical Engineering, University of Bath, Claverton Down, Bath, BA2 7AY, UK.
Spencer SnowlingHydromantis Environmental Software Solutions, Inc., 407 King Street West, Hamilton, Ontario, L8P 1B5, Canada.
Jean-Philippe SteyerLBE, Univ. Montpellier, INRA, 102 Avenue des Etangs, 11100, Narbonne, France.
Borja Valverde-PérezDepartment of Environmental Engineering, Technical Univ. of Denmark, Bygningstorvet, Building 115, 2800, Kgs. Lyngby, Denmark.
Dorottya WágnerChemistry and Bioscience, Aalborg University, Fredrik Bajers Vej 7H, 9220, Aalborg East, Denmark.
Jeremy S GuestCivil and Environmental Engineering, University of Illinois at Urbana-Champaign, 205 N. Mathews Avenue, Urbana, IL, 61801, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microalgal and cyanobacterial resource recovery systems could significantly advance nutrient recovery from wastewater by achieving effluent nitrogen (N) and phosphorus (P) levels below the current limit of technology. The successful implementation of phytoplankton, however, requires the formulation of process models that balance fidelity and simplicity to accurately simulate dynamic performance in response to environmental conditions. This work synthesizes the range of model structures that have been leveraged for algae and cyanobacteria modeling and core model features that are required to enable reliable process modeling in the context of water resource recovery facilities. Results from an extensive literature review of over 300 published phytoplankton models are presented, with particular attention to similarities with and differences from existing strategies to model chemotrophic wastewater treatment processes (e.g., via the Activated Sludge Models, ASMs). Building on published process models, the core requirements of a model structure for algal and cyanobacterial processes are presented, including detailed recommendations for the prediction of growth (under phototrophic, heterotrophic, and mixotrophic conditions), nutrient uptake, carbon uptake and storage, and respiration.

Indexed as

GrowthLipid storageNutrient uptakeStarch storageWastewater treatment plant (WWTP)

Identifiers

PMID31194023
PMCPMC6549905

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.