Evidence map›Paper›PMID 35564059›Full record

ArticleFoods (Basel, Switzerland)2022

Study on Volatile Profiles, Polycyclic Aromatic Hydrocarbons, and Acrylamide Formed in Welsh Onion (

Hye-Min Kim, Min-Kyung Park, Soo-Jeong Mun, Mun-Yhung Jung, Sang-Mi Lee, Young-Suk Kim

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Green Onion (Foods (Basel, Switzerland) · 2023
    Review
  5. 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

6 authors.

Hye-Min KimDepartment of Food Science and Biotechnology, Ewha Womans University, Seoul 03760, Korea.ORCID 0000-0002-4387-1637
Min-Kyung ParkDepartment of Food Science and Biotechnology, Ewha Womans University, Seoul 03760, Korea.ORCID 0000-0002-3619-9491
Soo-Jeong MunDepartment of Food Science and Biotechnology, Ewha Womans University, Seoul 03760, Korea.
Mun-Yhung JungSchool of Food Science, Woosuk University, Samrea-up, Wanju-Kun 55338, Korea.
Sang-Mi LeeDepartment of Food and Nutrition, Inha University, Incheon 22212, Korea.ORCID 0000-0003-1847-0927
Young-Suk KimDepartment of Food Science and Biotechnology, Ewha Womans University, Seoul 03760, Korea.ORCID 0000-0003-1343-5647

Funding

Ministry of Agriculture, Food and Rural Affairs 319048-3Ministry of Science and ICT, Korea government (MSIT) 4299990914600
6 · The paper itself

Abstract

Welsh onion (Allium fistulosum L.) is widely used in diverse Asian cuisines, especially in stir-fried and deep-fried foods. This study investigated the effects of different temperatures (140, 165, and 190 °C) and types of the vegetable frying oil (soybean, corn, canola, and palm oils) on the formation of volatile profiles and hazardous compounds [polycyclic aromatic hydrocarbons (PAHs) and acrylamide] in Welsh onion. Specific volatile chemical groups such as aldehydes, sulfur-containing compounds, and furans/furanones were major volatiles in Welsh onion fried (WOF). The composition of aldehydes and sulfur-containing compounds decreased, while those of furans/furanones increased when WOF samples were exposed to higher temperatures. At 190 °C, PAHs were detected at lower than the EU maximum tolerable limit (the sum of 4 PAHs, <10 µg/kg), and acrylamide was detected below 36.46 μg/kg. The integrated study of both the quality and safety properties can provide fundamental data for the industrial processing of WOF.

Indexed as

acrylamidefrying oil temperaturepolycyclic aromatic hydrocarbonsvegetable oilvolatile compoundsWelsh onion

Identifiers

PMID35564059
PMCPMC9100245

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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.