Evidence map›Paper›PMID 34901500›Full record

ArticleHeliyon2021

Microbial community and performance of a partial nitritation/anammox sequencing batch reactor treating textile wastewater.

Elisa Clagnan, Lorenzo Brusetti, Silvia Pioli, Simone Visigalli, Andrea Turolla, Mingsheng Jia, Martina Bargna, Elena Ficara, Giovanni Bergna, Roberto Canziani and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heliyon, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

11 authors.

Elisa ClagnanFree University of Bolzano, Faculty of Science and Technology, Piazza Università 1, 39100 Bolzano, Italy.
Lorenzo BrusettiFree University of Bolzano, Faculty of Science and Technology, Piazza Università 1, 39100 Bolzano, Italy.
Silvia PioliFree University of Bolzano, Faculty of Science and Technology, Piazza Università 1, 39100 Bolzano, Italy.
Simone VisigalliPolitecnico di Milano, Department of Civil and Environmental Engineering (DICA), Piazza L. da Vinci 32, 20133 Milano, Italy.
Andrea TurollaPolitecnico di Milano, Department of Civil and Environmental Engineering (DICA), Piazza L. da Vinci 32, 20133 Milano, Italy.
Mingsheng JiaPolitecnico di Milano, Department of Civil and Environmental Engineering (DICA), Piazza L. da Vinci 32, 20133 Milano, Italy.
Martina BargnaLariana Depur Spa, Via Laghetto 1, 22073 Fino Mornasco, Italy.
Elena FicaraPolitecnico di Milano, Department of Civil and Environmental Engineering (DICA), Piazza L. da Vinci 32, 20133 Milano, Italy.
Giovanni BergnaLariana Depur Spa, Via Laghetto 1, 22073 Fino Mornasco, Italy.
Roberto CanzianiPolitecnico di Milano, Department of Civil and Environmental Engineering (DICA), Piazza L. da Vinci 32, 20133 Milano, Italy.
Micol BellucciPolitecnico di Milano, Department of Civil and Environmental Engineering (DICA), Piazza L. da Vinci 32, 20133 Milano, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Implementation of onsite bioremediation technologies is essential for textile industries due to rising concerns in terms of water resources and quality. Partial nitritation-anaerobic ammonium oxidation (PN/A) processes emerged as a valid, but unexplored, solution. In this study, the performance of a PN/A pilot-scale (9 m

Indexed as

Next-generation sequencingNitrogen removalPartial nitritation/anammoxQuantitative polymerase chain reaction (qPCR)Textile wastewater

Identifiers

PMID34901500
PMCPMC8637490

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.