Evidence map›Paper›PMID 27873195›Full record

ArticleWorld journal of microbiology & biotechnology2017

Community structure of a sulfate-reducing consortium in lead-contaminated wastewater treatment process.

Yen T Nguyen, Hoa T Q Kieu, Stephanie West, Yen T Dang, Harald Horn

Abstract read
PubMed Publisher
In one paragraph

Article in World journal of microbiology & biotechnology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.9field-weighted citation impact, top 16% 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

2 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. 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

5 authors at 3 institutions in 2 countries.

Yen T NguyenInstitute of Biotechnology, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet, Cau Giay, Hanoi, Vietnam.
Hoa T Q KieuInstitute of Biotechnology, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet, Cau Giay, Hanoi, Vietnam. ktquynhhoa@ibt.ac.vn.
Stephanie WestEngler-Bunte-Institut, Chair of Water Chemistry and Water Technology, Karlsruhe Institute of Technology, Engler-Bunte-Ring 9, 76131, Karlsruhe, Germany.
Yen T DangInstitute of Biotechnology, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet, Cau Giay, Hanoi, Vietnam.
Harald HornEngler-Bunte-Institut, Chair of Water Chemistry and Water Technology, Karlsruhe Institute of Technology, Engler-Bunte-Ring 9, 76131, Karlsruhe, Germany.
Vietnam Academy of Science and Technology · VNDVGW-Forschungsstelle am Engler-Bunte-Institut des Karlsruher Instituts für Technologie · DEKarlsruhe Institute of Technology · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study evaluated the capacity to remove lead by an indigenous consortium of five sulfate-reducing bacteria (SRB): Desulfobacterium autotrophicum, Desulfomicrobium salsugmis, Desulfomicrobium escambiense, Desulfovibrio vulgaris, and Desulfovibrio carbinolicus, using continuous moving bed biofilm reactor systems. Four continuous moving bed biofilm reactors (referred as R1-R4) were run in parallel for 40 days at lead loading rates of 0, 20, 30 and 40 mg l

Indexed as

Biodegradation, EnvironmentalBioreactorsDenaturing Gradient Gel ElectrophoresisDNA, BacterialIn Situ Hybridization, FluorescenceLeadOxidation-ReductionPhylogenyRNA, Ribosomal, 16SSulfur-Reducing BacteriaWastewaterWater Pollutants, ChemicalDNA, BacterialLeadRNA, Ribosomal, 16SWastewaterWater Pollutants, ChemicalDenaturing gradient gel electrophoresisdsrB geneFluorescent in situ hybridizationLead removalSulfate-reducing bacteria

Identifiers

PMID27873195
OpenAlexW2551807125

What OpenQuestion holds

Textmetadata
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.