Evidence map›Paper›PMID 37599840›Full record

ArticleJournal of food science and technology2023

Study of the behavior and properties of frying oil on repetitive deep frying.

Prajakta D Sadawarte, Uday S Annapure

Open access · greenAbstract read
In one paragraph

Article in Journal of food science and technology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

6 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Ultrasonic-AssistedFoods (Basel, Switzerland) · 2025
    Article
  4. Review
  5. Article
  6. 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

2 authors at 1 institution in 1 country.

Prajakta D SadawarteDepartment of Food Engineering and Technology, Institute of Chemical Technology, Mumbai, 400019 India.
Uday S AnnapureDepartment of Food Engineering and Technology, Institute of Chemical Technology, Mumbai, 400019 India.ORCID 0000-0002-3420-5077
Institute of Chemical Technology · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current work focused on the effect of repetitive frying on the physicochemical characteristics of palm oil (PO)and sesame oil (SO) during the preparation of french fries by deep fat frying. A total of 16 frying cycles were carried out and the effect on various parameters was evaluated. The repetitive frying caused higher damage to sesame oil as compared with PO as observed from changes in FFA and PV which increased to 0.63 ± 0.12, 1.31 ± 0.16%, and 2.71 ± 0.02, 7.21 ± 0.01 meq/kg from an initial value of 0.28 ± 0.00, 0.93 ± 0.16% and 0.19 ± 0.00, 0.71 ± 0.00 meq/kg for PO, SO respectively. The fatty acid composition of SO showed significant change with a decrease in linoleic acid and oleic acid content from 42.7 ± 0.01 to 28.1 ± 0.03 and 36.2 ± 0.01 to 25.1 ± 0.01 after 16 frying cycles respectively. The oleic acid content of PO was less affected it decreased from an initial value of 42.4 ± 0.01 to 38.9 ± 0.01 after 16 cycles. The fatty acid composition of PO made it more stable to the repetitive frying process. The physical properties like density refractive index and viscosity of SO were badly affected by repetitive frying. The french fries fried in PO score higher overall acceptability in the sensory examination. Supplementary Information: The online version contains supplementary material available at 10.1007/s13197-023-05774-4.

Indexed as

Deep fat fryingFrench friesOxidative stabilityPalm oilSesame oil

Identifiers

PMID37599840
PMCPMC10439053
OpenAlexW4379160653

What OpenQuestion holds

Textmetadata
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.