Evidence map›Paper›PMID 26785235›Full record

ArticleAntioxidants (Basel, Switzerland)2014

Optimization of the Aqueous Extraction of Phenolic Compounds from Olive Leaves.

Chloe D Goldsmith, Quan V Vuong, Costas E Stathopoulos, Paul D Roach, Christopher J Scarlett

Abstract read
In one paragraph

Article in Antioxidants (Basel, Switzerland), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. The Effect ofMicroorganisms · 2023
    Article
  11. Article
  12. Vibrational Spectroscopy-Based Chemometrics Analysis ofEvidence-based complementary and alternative medicine : eCAM · 2022
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Olive Leaves Extract from Algerian Oleaster (Foods (Basel, Switzerland) · 2018
    Article
  18. OliveNet™: a comprehensive library of compounds from Olea europaea.Database : the journal of biological databases and curation · 2018
    Article
  19. 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

5 authors.

Chloe D GoldsmithSchool of Environmental & Life Sciences, University of Newcastle, Ourimbah, NSW 2258, Australia. chloe.d.goldsmith@uon.edu.au.
Quan V VuongSchool of Environmental & Life Sciences, University of Newcastle, Ourimbah, NSW 2258, Australia. vanquan.vuong@newcastle.edu.au.
Costas E StathopoulosFaculty of Bioscience Engineering, Ghent University Global Campus, Incheon 406-840, South Korea. costas.stathopoulos@ghent.ac.kr.
Paul D RoachSchool of Environmental & Life Sciences, University of Newcastle, Ourimbah, NSW 2258, Australia. paul.roach@newcastle.edu.au.
Christopher J ScarlettSchool of Environmental & Life Sciences, University of Newcastle, Ourimbah, NSW 2258, Australia. c.scarlett@newcastle.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Olive leaves are an agricultural waste of the olive-oil industry representing up to 10% of the dry weight arriving at olive mills. Disposal of this waste adds additional expense to farmers. Olive leaves have been shown to have a high concentration of phenolic compounds. In an attempt to utilize this waste product for phenolic compounds, we optimized their extraction using water-a "green" extraction solvent that has not yet been investigated for this purpose. Experiments were carried out according to a Box Behnken design, and the best possible combination of temperature, extraction time and sample-to-solvent ratio for the extraction of phenolic compounds with a high antioxidant activity was obtained using RSM; the optimal conditions for the highest yield of phenolic compounds was 90 °C for 70 min at a sample-to-solvent ratio of 1:100 g/mL; however, at 1:60 g/mL, we retained 80% of the total phenolic compounds and maximized antioxidant capacity. Therefore the sample-to-solvent ratio of 1:60 was chosen as optimal and used for further validation. The validation test fell inside the confidence range indicated by the RSM output; hence, the statistical model was trusted. The proposed method is inexpensive, easily up-scaled to industry and shows potential as an additional source of income for olive growers.

Indexed as

green extraction solventsOlea europaeaolive leavesphenolic compoundsresponse surface methodology (RSM)waste valorisation

Identifiers

PMID26785235
PMCPMC4665494

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.