Evidence map›Paper›PMID 29977905›Full record

ArticleInternational journal of food science2018

Effects of Roasting Temperature and Time on the Chemical Composition of Argan Oil.

Rahma Belcadi-Haloui, Abderrahmane Zekhnini, Yassine El-Alem, Abdelhakim Hatimi

Abstract read
In one paragraph

Article in International journal of food science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Frontiers in plant science · 2023
    Article
  5. Article
  6. Article
  7. Article
  8. Optimum roasting conditions of argan kernels (Journal of food science and technology · 2020
    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.

Rahma Belcadi-HalouiLaboratory of Plants Biotechnologies, Faculty of Sciences, BP 8016, Agadir 80 000, Morocco.
Abderrahmane ZekhniniLaboratory of Aquatic Systems, Faculty of Sciences, BP 8016, Agadir 80 000, Morocco.ORCID 0000-0002-2436-6651
Yassine El-AlemAutonomous Establishment of Control and Coordination of Exports, 23 E, Industrial Zone of Tassila, Agadir 80 000, Morocco.
Abdelhakim HatimiLaboratory of Plants Biotechnologies, Faculty of Sciences, BP 8016, Agadir 80 000, Morocco.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This work aimed at assessing the effects of roasting temperature and duration on chemical composition of argan oil. Thus, argan oils extracted from almonds roasted at different temperatures (75-175°C) and times (10-30 min) were analyzed and compared to a control. The physicochemical parameters (acidity, peroxide value, and absorbance at 232, 270 nm) increased slightly and the fatty acid composition did not show significant variation, regardless of roasting temperature and duration. The browning index increased significantly for temperatures greater than or equal to 100°C. The tocopherols content significantly decreased with roasting temperature and time (from 977.9 to 305.2 mg/kg after roasting at 175°C for 10 min). However, fluctuations are noted as a function of temperature. The phospholipids content increased with roasting temperature and time (from 0.198 % to 1.370 % after roasting at 175°C for 30 min). The decrease in the tocopherols content would be due to their thermolability. The increase in phospholipids and tocopherols content could be explained by better extractability. The results obtained make it possible to conclude that a roasting at 125-150°C / 10 min would allow the development of the organoleptic properties of the oil, notably its hazelnut flavour, without compromising its oxidative stability.

Identifiers

PMID29977905
PMCPMC6011059

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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.