Evidence map›Paper›PMID 35440008›Full record

ArticleBiotechnology for biofuels and bioproducts2022

Key role of fluorescence quantum yield in Nile Red staining method for determining intracellular lipids in yeast strains.

Sergio Morales-Palomo, Marta Liras, Cristina González-Fernández, Elia Tomás-Pejó

Open access · goldAbstract read
In one paragraph

Article in Biotechnology for biofuels and bioproducts, 2022. 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
1.0field-weighted citation impact, top 26% 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

9 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Bioengineered · 2023
    Article
  6. An Evolved Strain of the Oleaginous YeastJournal of fungi (Basel, Switzerland) · 2023
    Article
  7. Chemical Profiling and Biological Activity ofMolecules (Basel, Switzerland) · 2023
    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

4 authors at 1 institution in 1 country.

Sergio Morales-PalomoBiotechnological Processes Unit, IMDEA Energy, Avda. Ramón de la Sagra 3, 28935, Móstoles, Spain.
Marta LirasPhotoactivated Processes Unit, IMDEA Energy, Avda. Ramón de la Sagra 3, 28935, Móstoles, Spain.
Cristina González-FernándezBiotechnological Processes Unit, IMDEA Energy, Avda. Ramón de la Sagra 3, 28935, Móstoles, Spain.
Elia Tomás-PejóBiotechnological Processes Unit, IMDEA Energy, Avda. Ramón de la Sagra 3, 28935, Móstoles, Spain. elia.tomas@imdea.org.
Madrid Institute for Advanced Studies · ES

Funding

Comunidad de Madrid P2018/BAA-4532Ministerio de Ciencia e Innovación PCI2021-121936Ministerio de Ciencia e Innovación PID2020-119403RBC21
6 · The paper itself

Abstract

backgroundMicrobial lipids are found to be an interesting green alternative to expand available oil sources for the chemical industry. Yeasts are considered a promising platform for sustainable lipid production. Remarkably, some oleaginous yeasts have even shown the ability to grow and accumulate lipids using unusual carbon sources derived from organic wastes, such as volatile fatty acids. Recent research efforts have been focused on developing rapid and accurate fluorometric methods for the quantification of intracellular yeast lipids. Nevertheless, the current methods are often tedious and/or exhibit low reproducibility.

resultsThis work evaluated the reliability of different fluorescence measurements (fluorescence intensity, total area and fluorescence quantum yield) using Nile Red as lipid dye in two yeast strains (Yarrowia lipolytica ACA-DC 50109 and Cutaneotrichosporon curvatum NRRL-Y-1511). Different standard curves were obtained for each yeast specie. Fermentation tests were carried with 6-month difference to evaluate the effect of the fluorometer lamp lifetime on lipid quantification.

conclusionsFluorescence quantum yield presented the most consistent measurements along time and the closer estimations when compared with lipids obtained by conventional methods (extraction and gravimetrical determination). The need of using fluorescence quantum yield to estimate intracellular lipids, which is not the common trend in studies focused on microbial lipid production, was stressed. The information here provided will surely enable more accurate results comparison.

Indexed as

Fluorescence intensityFluorescence quantum yieldGravimetric extractionLipid quantificationNile RedOleaginous yeast

Identifiers

PMID35440008
PMCPMC9019942
OpenAlexW4224279975

What OpenQuestion holds

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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.