Evidence map›Paper›PMID 41525194›Full record

ReviewJournal of food and drug analysis2025

Distinguishing avocado oil quality based on fatty acid profile using PCA: A review of influencing factors and research gaps.

David Fernando, Ali Ridho Arif Madja, Nur Azizah, Agustina Ari Murti Budi Hastuti, Abdul Rohman

Abstract readReview
In one paragraph

Review in Journal of food and drug analysis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

David FernandoFaculty of Pharmacy, Universitas Gadjah Mada, Jl. Sekip Utara, Sleman, Yogyakarta 55281, Indonesia.
Ali Ridho Arif MadjaFaculty of Pharmacy, Universitas Gadjah Mada, Jl. Sekip Utara, Sleman, Yogyakarta 55281, Indonesia.
Nur AzizahFaculty of Pharmacy, Universitas Gadjah Mada, Jl. Sekip Utara, Sleman, Yogyakarta 55281, Indonesia.
Agustina Ari Murti Budi HastutiDepartment of Pharmaceutical Chemistry, Faculty of Pharmacy, Universitas Gadjah Mada, Daerah Istimewa, Yogyakarta 55281, Indonesia.
Abdul RohmanDepartment of Pharmaceutical Chemistry, Faculty of Pharmacy, Universitas Gadjah Mada, Daerah Istimewa, Yogyakarta 55281, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The quality of avocado oil is influenced by multiple factors, including cultivar, growing region, drying method, harvest season, fruit maturity, extraction technique, and storage conditions. This review aims to show how fatty acid profiles (FAP), combined with principal component analysis (PCA), can be used to characterize avocado oil based on various established factors. A total of 23 peer-reviewed articles were included, encompassing 143 data points. PCA was applied as an exploratory tool to reduce dimensionality and visualize patterns in the data. Among the evaluated variables, the fruit part emerged as the most influential determinant, allowing clear categorization of avocado oils based on whether the pulp, peel, or seed was used. Additional separation was achieved based on varietal, geographical origin, harvest month, and extraction method. However, insufficient evidence was found to support consistent differentiation based on ripening stage or drying protocol. These findings also highlight key research gaps and underscore the need to update FAP standards to include oils derived from whole fruits, varied grades, and diverse extraction technologies, advancing sustainability and minimizing food waste.

Indexed as

Fatty AcidsPerseaPlant OilsFruitPrincipal Component AnalysisFatty AcidsPlant Oils

Identifiers

PMID41525194
PMCPMC12795345

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.