Evidence map›Paper›PMID 28456869›Full record

ArticleMarine biotechnology (New York, N.Y.)2017

Fatty Acid Characterization and Biodiesel Production by the Marine Microalga Asteromonas gracilis: Statistical Optimization of Medium for Biomass and Lipid Enhancement.

Mustafa A Fawzy

Abstract read
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In one paragraph

Article in Marine biotechnology (New York, N.Y.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Process optimization and modeling of CdScientific reports · 2022
    Article
  7. Article
  8. Article
  9. 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

1 author.

Mustafa A FawzyFaculty of Science, Botany and Microbiology Department, Assiut University, Assiut, 71516, Egypt. mostafa.mahmoud@science.au.edu.eg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lipid production is an important indicator for evaluating microalgal species for biodiesel production. In this study, a new green microalga was isolated from a salt lake in Egypt and identified as Asteromonas gracilis. The main parameters such as biomass productivity, lipid content, and lipid productivity were evaluated in A. gracilis, cultivated in nutrient-starved (nitrogen, phosphorous), and salinity stress as a one-factor-at-a-time method. These parameters in general did not vary significantly from the standard nutrient growth media when these factors were utilized separately. Hence, response surface methodology (RSM) was assessed to study the combinatorial effect of different concentrations of the abovementioned factor conditions and to maximize the biomass productivity, lipid content, and lipid productivity of A. gracilis by determining optimal concentrations. RSM optimized media, including 1.36 M NaCl, 1 g/L nitrogen, and 0.0 g/L phosphorus recorded maximum biomass productivity, lipid content, and lipid productivity (40.6 mg/L/day, 39.3%, and 15.9 mg/L/day, respectively) which agreed well with the predicted values (40.1 mg/L/day, 43.6%, and 14.6 mg/L/day, respectively). Fatty acid profile of A. gracilis was composed of C16:0, C16:1, C18:0, C18:3, C18:2, C18:1, and C20:5, and the properties of fuel were also in agreement with international standards. These results suggest that A. gracilis is a promising feedstock for biodiesel production.

Indexed as

BiofuelsBiomassChlorophytaCulture MediaFatty AcidsLipidsNitrogenPhosphorusSalinityBiofuelsCulture MediaFatty AcidsLipidsNitrogenPhosphorusAsteromonas gracilisBiodieselLipid productivityNutrient starvationResponse surface methodologySalinity stress

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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.