Evidence map›Paper›PMID 30043348›Full record

ArticleEnvironmental science and pollution research international2018

Optimal strategies for bioremediation of nitrate-contaminated groundwater and microalgae biomass production.

Fariba Rezvani, Mohammad-Hossein Sarrafzadeh, Seong-Hyun Seo, Hee-Mock Oh

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2018. 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
–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

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

4 authors.

Fariba RezvaniUNESCO Chair on Water Reuse, Biotechnology Group, School of Chemical Engineering, College of Engineering, University of Tehran, P.O. Box: 11155-4563, Tehran, Iran.
Mohammad-Hossein SarrafzadehUNESCO Chair on Water Reuse, Biotechnology Group, School of Chemical Engineering, College of Engineering, University of Tehran, P.O. Box: 11155-4563, Tehran, Iran. sarrafzdh@ut.ac.ir.
Seong-Hyun SeoCell Factory Research Centre, Korea Research Institute of Bioscience and Biotechnology, Daejeon, 34141, Republic of Korea.
Hee-Mock OhCell Factory Research Centre, Korea Research Institute of Bioscience and Biotechnology, Daejeon, 34141, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Optimizing the mono-cultivation and mixed cultivation of Chlamydomonas reinhardtii, Chlorella vulgaris, and an Ettlia sp. was evaluated for treating nitrate-contaminated groundwater and biomass production. Ettlia sp. showed the highest nutrient assimilation and growth rate among the three microalgae during bioremediation. Light-dark cycle was the effective condition for nutrient removal and COD mitigation by microalgae. Mixed microalgae with a larger presence of the Ettlia sp. exhibited the highest biomass productivity, nitrate-nitrogen, and phosphate-phosphorus removal rates of 0.21 g/L/d, 16.6, and 3.06 mg/L/d, respectively. An N:P mass ratio of 5 was necessary to increase the mixed-microalgal performance. The settling efficiency of the mixed microalgae increased up to 0.55 when using pH modulation during 30 min. Therefore, applying an Ettlia sp.-dominant consortium was the optimum strategy for the bioremediation of nitrate-contaminated groundwater in 3 days.

Indexed as

Biodegradation, EnvironmentalBiomassChlamydomonasChlorellaChlorella vulgarisGroundwaterMicroalgaeNitratesNitrogenPhosphatesPhosphorusWater Pollutants, ChemicalNitratesNitrogenPhosphatesPhosphorusWater Pollutants, ChemicalBiomass productionLight-dark cycleMicroalgal sizeMixed cultivationMono-cultivationNitrate-contaminated groundwater

Identifiers

PMID30043348

What OpenQuestion holds

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Registered trials

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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.