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Record W2920507779 · doi:10.3136/fstr.25.1

Date Palm Fruits as a Potential Source of Functional Dietary Fiber: A Review

2019· review· en· W2920507779 on OpenAlexfundno aff
Abdessalem Mrabet, Hammadi Hamza, Guillermo Rodríguez‐Gutiérrez, Ana Jiménez‐Araujo, Marianne Sindic

Bibliographic record

VenueFood Science and Technology Research · 2019
Typereview
Languageen
FieldAgricultural and Biological Sciences
TopicDate Palm Research Studies
Canadian institutionsnot available
FundersBibliothèque et Archives nationales du Québec
KeywordsDietary fiberFiberFood scienceCelluloseFunctional foodPalmChemistryBiochemistry

Abstract

fetched live from OpenAlex

Date palm fruits and their seeds are excellent sources of dietary fiber (DF). Date fruits contain 8.1–12.7 % Total DFs (of which 84–94 % is insoluble and 6–16 % soluble DF) and is very rich in phenolic antioxidants (1–2 %). Date fruit fibers are composed of cellulose and NSP. Moreover, date DF has important functional properties, such as water-holding capacity and oil-holding capacity. Date seeds contain about 15 % fiber, characterized by a high level of water-insoluble mannan fibers. It has been suggested that date fruits and seeds can be exploited in some food applications. In order to improve fiber yields, pretreatment procedures can be applied, which give excellent results in the case of date palm fibers. Date fruits are widely available in the global market, but there is still room for improvement, particularly in the revalorization of date processing waste, and secondary cultivars. The incorporation of date fruits and seeds as food ingredients would promote the presence of dates in the modern's consumer shopping basket. Present knowledge about different aspects of date DF, and suitable extraction methods and applications of date fiber (flesh and seed), will be the focus of this report.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.218
GPT teacher head0.407
Teacher spread0.189 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations66
Published2019
Admission routes1
Has abstractyes

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