Evidence map›Paper›PMID 36264862›Full record

ArticlePloS one2022

Pyrolysis-GCMS of Spirulina platensis: Evaluation of biomasses cultivated under autotrophic and mixotrophic conditions.

Sueilha F A Paula, Bruna M E Chagas, Maria I B Pereira, Adriano H N Rangel, Cristiane F C Sassi, Luiz H F Borba, Everaldo S Santos, Estefani A Asevedo, Fabiana R A Câmara, Renata M Araújo

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 53% 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

0 citing papers in PubMed, 8 citations in OpenAlex.

No citing paper in PubMed yet.

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

10 authors at 2 institutions in 1 country.

Sueilha F A PaulaInstitute of Chemistry, Federal University of Rio Grande do Norte, Natal, State of Rio Grande do Norte, Brazil.
Bruna M E ChagasInfrastructure Superintendence, Federal University of Rio Grande do Norte, Natal, State of Rio Grande do Norte, Brazil.ORCID 0000-0003-0344-550X
Maria I B PereiraSpecialized Academic Unit in Agrarian Science, Federal University of Rio Grande do Norte, Natal, State of Rio Grande do Norte, Brazil.
Adriano H N RangelSpecialized Academic Unit in Agrarian Science, Federal University of Rio Grande do Norte, Natal, State of Rio Grande do Norte, Brazil.
Cristiane F C SassiDepartment of Systematic and Ecology, Federal University of Paraiba, João Pessoa, State of Paraíba, Brazil.
Luiz H F BorbaSpecialized Academic Unit in Agrarian Science, Federal University of Rio Grande do Norte, Natal, State of Rio Grande do Norte, Brazil.
Everaldo S SantosDepartment of Chemical Engineering, Federal University of Rio Grande do Norte, Natal, State of Rio Grande do Norte, Brazil.ORCID 0000-0001-7384-1140
Estefani A AsevedoDepartment of Chemical Engineering, Federal University of Rio Grande do Norte, Natal, State of Rio Grande do Norte, Brazil.
Fabiana R A CâmaraSpecialized Academic Unit in Agrarian Science, Federal University of Rio Grande do Norte, Natal, State of Rio Grande do Norte, Brazil.
Renata M AraújoInstitute of Chemistry, Federal University of Rio Grande do Norte, Natal, State of Rio Grande do Norte, Brazil.
Universidade Federal do Rio Grande do Norte · BRUniversidade Federal da Paraíba · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microalgae are autotrophs and CO2 fixers with great potential to produce biofuels in a sustainable way, however the high cost of biomass production is a challenge. Mixotrophic growth of microalgae has been presented as a great alternative to achieve economic sustainability. Thus, the present work reports the energetic characterization of S. platensis biomasses cultivated under autotrophic (A) and mixotrophic conditions using cheese whey waste at different concentrations, 2.5 (M2.5), 5.0 (M5) and 10.0% (M10), in order to analyze the potential production of valuable chemicals and bio-oil by TGA/DTG and Py-GC/MS. The biochemical compositions of the studied biomasses were different due to the influence of different culture mediums. As the whey concentration increased, there was an increase in the carbohydrate content and a decrease in the protein content, which influenced the elemental composition, calorific value, TGA and volatile compounds evaluated by Py-GC/MS at 450°C, 550°C and 650°C. Sample M10 had lower protein content and formed a smaller amount of nitrogenates compounds by pyrolysis at all temperatures evaluated. There was a reduction of 43.8% (450º), 45.6% (550ºC) and 23.8% (650ºC) in the formation of nitrogenates compounds in relation to sample A. Moreover, the temperature also showed a considerable effect in the formation of volatile compounds. The highest yields of nitrogenates compounds, phenols and aromatic and non-aromatic hydrocarbons were observed at 650ºC. The oxygenated, and N and O containing compounds decreased as the temperature increased. Hydrocarbons such as toluene, heptadecane and heneicosane were produced by S.platensis pyrolysis, which makes this biomass attractive for production of high quality bio-oil and valuable chemicals. Therefore, the results showed that it is possible to decrease the formation of nitrogen compounds via manipulation of growth conditions and temperature.

Indexed as

MicroalgaeSpirulinaBiofuelsBiomassCarbohydratesCarbon DioxideGas Chromatography-Mass SpectrometryHot TemperatureHydrocarbonsNitrogen CompoundsPlant OilsPolyphenolsPyrolysisTolueneBiofuelsBio-OilCarbohydratesCarbon DioxideHydrocarbonsNitrogen CompoundsPlant OilsPolyphenolsToluene

Identifiers

PMID36264862
PMCPMC9584514
OpenAlexW4306901545

What OpenQuestion holds

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LicenceCC BY
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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.