Evidence map›Paper›PMID 37687234›Full record

ArticleMolecules (Basel, Switzerland)2023

A Comparative Study of Ethanol and Citric Acid Solutions for Extracting Betalains and Total Phenolic Content from Freeze-Dried Beetroot Powder.

Rahul Kumar, Lisa Methven, Maria Jose Oruna-Concha

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

5 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. HPLC-Based Metabolomic Analysis and Characterization ofMolecules (Basel, Switzerland) · 2024
    Article
  5. Review
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

3 authors at 1 institution in 1 country.

Rahul KumarDepartment of Food and Nutritional Sciences, University of Reading, Whiteknights, Reading RG6 6DZ, UK.
Lisa MethvenDepartment of Food and Nutritional Sciences, University of Reading, Whiteknights, Reading RG6 6DZ, UK.ORCID 0000-0001-6940-7579
Maria Jose Oruna-ConchaDepartment of Food and Nutritional Sciences, University of Reading, Whiteknights, Reading RG6 6DZ, UK.ORCID 0000-0001-7916-1592
University of Reading · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This research compares the extraction of betalains (betacyanin and betaxanthin) and total phenolic content using citric acid and aqueous-ethanol solutions. The aim is to find an environmentally sustainable alternative solvent for extracting these compounds from dried beetroot powder. Using citric acid solution as a solvent offers several benefits over ethanol. Citric acid is a weak organic acid found naturally in citrus fruits, making it a safe and environmentally friendly choice for certain extraction processes. Moreover, the use of citric acid as solvent offers biodegradability, non-toxicity, non-flammability, and is cost effective. A full factorial design and response surface methodology (RSM) were employed to assess the effects of extraction parameters (extraction time (5-30 min), extraction temperature (20, 30, 40 °C), pH of citric acid solution (3, 4, 5) and ethanol concentration (10, 20, 30%

Indexed as

BetalainsEthanolBetacyaninsBetaxanthinsCitric AcidMagnesiumPhenolsPowdersRadioisotopesSolventsBetacyaninsBetalainsBetaxanthinsCitric AcidEthanolMagnesiumMagnesium-28PhenolsPowdersRadioisotopesSolventsartificial neural networkbetalain pigmentsextractionoptimisationresponse surface methodologytotal phenolic contentultrasound

Identifiers

PMID37687234
PMCPMC10489171
OpenAlexW4386409301

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.