Evidence map›Paper›PMID 31073833›Full record

ArticleEnvironmental science and pollution research international2019

Phycoremediation of lithium ions from aqueous solutions using free and immobilized freshwater green alga Oocystis solitaria: mathematical modeling for bioprocess optimization.

Noura El-Ahmady El-Naggar, Ragaa A Hamouda, Nashwa H Rabei, Ibrahim E Mousa, Marwa Salah Abdel-Hamid

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

13 citing papers in PubMed, 26 citations in OpenAlex.

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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 2 institutions in 2 countries.

Noura El-Ahmady El-NaggarDepartment of Bioprocess Development, Genetic Engineering and Biotechnology Research Institute, City of Scientific Research and Technological Applications, New Borg El-Arab City, Alexandria, 21934, Egypt. nouraelahmady@yahoo.com.ORCID http://orcid.org/0000-0001-8493-9194
Ragaa A HamoudaDepartment of Biology, Faculty of Sciences and Arts - Khulais, University of Jeddah, Jeddah, Saudi Arabia.
Nashwa H RabeiDepartment of Microbial Biotechnology, Genetic Engineering and Biotechnology Research Institute, University of Sadat City, Menoufyia Governorate, 22857, Egypt.
Ibrahim E MousaDepartment of Environmental Biotechnology, Genetic Engineering and Biotechnology Research Institute, University of Sadat City, Menoufyia Governorate, 22857, Egypt.
Marwa Salah Abdel-HamidDepartment of Microbial Biotechnology, Genetic Engineering and Biotechnology Research Institute, University of Sadat City, Menoufyia Governorate, 22857, Egypt.ORCID http://orcid.org/0000-0003-1677-8055
University of Sadat City · EGCity of Scientific Research and Technological Applications · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lithium is registered as a serious pollutant that causes environmental damage to an irrigation water supply. Freshwater green alga (Oocystis solitaria) was studied for its potential to remove lithium ions from aqueous solutions. The Plackett-Burman design was applied for initial screening of six factors for their significances for the removal of lithium from aqueous solutions using Oocystis solitaria cells. Among the variables screened, pH, lithium concentration, and temperature were the most significant factors affecting lithium removal. Hence, the levels of these significant variables were further investigated for their interaction effects on lithium removal using the Box-Behnken statistical design. The optimum conditions for maximum lithium removal from aqueous solutions by Oocystis solitaria were the initial lithium concentration of 200 mg/L, contact time of 60 min, temperature of 30 °C, pH 5, and biomass of Oocystis solitaria cells of 1 g/L with agitation condition. Under the optimized conditions, the percentage of maximum lithium removal was 99.95% which is larger than the percentage of lithium removal recorded before applying the Plackett-Burman design (40.07%) by 2.49 times. The different properties of Oocystis solitaria, as an adsorbent, were explored with SEM and via FTIR analysis. The spectrum of FTIR analysis for samples of Oocystis solitaria cells before lithium biosorption showed different absorption peaks at 3394 cm

Indexed as

Models, TheoreticalAdsorptionBiodegradation, EnvironmentalBiomassChlorophytaFresh WaterHydrogen-Ion ConcentrationLithiumSolutionsTemperatureWater Pollutants, ChemicalLithiumSolutionsWater Pollutants, ChemicalBiosorption of lithiumBox–Behnken designCharacterizationFTIRImmobilizationOocystis solitariaPlackett-Burman designSEM

Identifiers

PMID31073833
OpenAlexW2944130732

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.