Evidence map›Paper›PMID 36765976›Full record

ArticleFoods (Basel, Switzerland)2023

Effect of Cooking Method and Doneness Degree on Volatile Compounds and Taste Substance of Pingliang Red Beef.

Yujiao Wang, Xinrong Bu, Dawei Yang, Dan Deng, Zhaomin Lei, Zhaobin Guo, Xiaotong Ma, Li Zhang, Qunli Yu

Abstract 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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

9 authors.

Yujiao WangCollege of Food Science and Engineering, Gansu Agricultural University, Lanzhou 730070, China.ORCID 0000-0003-2458-5675
Xinrong BuCollege of Food Science and Engineering, Gansu Agricultural University, Lanzhou 730070, China.
Dawei YangCollege of Food Science and Engineering, Gansu Agricultural University, Lanzhou 730070, China.
Dan DengCollege of Food Science and Engineering, Gansu Agricultural University, Lanzhou 730070, China.
Zhaomin LeiCollege of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, China.
Zhaobin GuoCollege of Food Science and Engineering, Gansu Agricultural University, Lanzhou 730070, China.
Xiaotong MaCollege of Food Science and Engineering, Gansu Agricultural University, Lanzhou 730070, China.
Li ZhangCollege of Food Science and Engineering, Gansu Agricultural University, Lanzhou 730070, China.
Qunli YuCollege of Food Science and Engineering, Gansu Agricultural University, Lanzhou 730070, China.

Funding

China Agriculture Research System No. CARS-37Education science and technology innovation project of Gansu Province GSSYLXM-02
6 · The paper itself

Abstract

This study used gas chromatography-ion mobility spectrometry (GC-IMS) and high-performance liquid chromatography (HPLC) methods to examine the impact of cooking methods and doneness on volatile aroma compounds and non-volatile substances (fatty acids, nucleotides, and amino acids) in Pingliang red beef. The flavor substances' topographic fingerprints were established, and 45 compounds were traced to 71 distinct signal peaks. Pingliang red beef's fruity flavor was enhanced thanks to the increased concentration of hexanal, styrene, and 2-butanone that resulted from instant boiling. The levels of 3-methylbutanal, which contributes to the characteristic caramel-chocolate-cheese aroma, peaked at 90 min of boiling and 40 min of roasting. The FFA content was reduced by 28.34% and 27.42%, respectively, after the beef was roasted for 40 min and instantly boiled for 10 s (

Indexed as

cooking methoddoneness degreePingliang beefumamivolatile

Identifiers

PMID36765976
PMCPMC9914270

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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.