Evidence map›Paper›PMID 37685109›Full record

ArticleFoods (Basel, Switzerland)2023

Comparative Analysis of Key Odorants and Aroma Characteristics in Hot-Pressed Yellow Horn (

Hui Gao, Mengkai Liu, Lili Zheng, Tingting Zhang, Xiuliang Chang, He Liu, Sen Zhou, Zhiran Zhang, Shengxin Li, Jie Sun

Open access · goldAbstract read
In one paragraph

Article in Foods (Basel, Switzerland), 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
1.5field-weighted citation impact, top 19% 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.

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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

10 authors at 1 institution in 1 country.

Hui GaoCollege of Life Sciences, Qingdao University, Qingdao 266071, China.
Mengkai LiuCollege of Life Sciences, Qingdao University, Qingdao 266071, China.
Lili ZhengNational Engineering Research Centre for Intelligent Electrical Vehicle Power System (Qingdao), College of Mechanical & Electronic Engineering, Qingdao University, Qingdao 266071, China.
Tingting ZhangCollege of Life Sciences, Qingdao University, Qingdao 266071, China.
Xiuliang ChangNational Engineering Research Centre for Intelligent Electrical Vehicle Power System (Qingdao), College of Mechanical & Electronic Engineering, Qingdao University, Qingdao 266071, China.ORCID 0000-0001-9078-8716
He LiuCollege of Life Sciences, Qingdao University, Qingdao 266071, China.
Sen ZhouCollege of Life Sciences, Qingdao University, Qingdao 266071, China.
Zhiran ZhangCollege of Life Sciences, Qingdao University, Qingdao 266071, China.
Shengxin LiCollege of Life Sciences, Qingdao University, Qingdao 266071, China.
Jie SunCollege of Life Sciences, Qingdao University, Qingdao 266071, China.
Qingdao University · CN

Funding

Innovation Ability Improvement Project of Science and Technology smes in Shandong Province 2022TSGC2520, 2023TSGC0892Key project of Shandong Province 2021TZXD010Qingdao Natural Science Foundation project 23-2-1-180-zyyd-jchQingdao people's Livelihood Science and Technology Plan Project 23-2-8-xdny-6-nsh, 23-3-8-xdny-1-nshThe Two Hundred Talents project of Yantai City in 2020 Without
6 · The paper itself

Abstract

Volatile compounds (VOCs) present in the oil extracted from yellow horn seeds were first analyzed using GC-IMS and GC-O-MS at varying roasting temperatures. A total of 97 VOCs were detected using GC-IMS, while 77 were tentatively identified using GC-O-MS. Moreover, both methods allowed the identification of 24 VOCs, of which the type of aldehydes is the most abundant. Combining the results of GC-IMS, GC-O-MS, OAVs, and VIP, it was concluded that hexanal, 2,5-dimethylpyrazine, heptanal, 2-pentylfuran, 1-hexanol, and 1-octen-3-ol were the key aroma compounds. The PLS-DA and OPLS-DA models have demonstrated the ability to discriminate between different oil roasting temperatures with high accuracy. The roasting temperature of 160 °C was found to yield the highest content of main aroma substances, indicating its optimality for yellow horn seed oil production. These findings will prove beneficial for optimizing industrial production and enhancing oil aroma control.

Indexed as

gc-imsgc-o-mskey odorantsmultivariate statistical analysisyellow horn seed oil

Identifiers

PMID37685109
PMCPMC10487206
OpenAlexW4386142354

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.