Evidence map›Paper›PMID 35684525›Full record

ArticleMolecules (Basel, Switzerland)2022

Characterization of Volatile Profiles and Correlated Contributing Compounds in Pan-Fried Steaks from Different Chinese Yellow Cattle Breeds through GC-Q-Orbitrap, E-Nose, and Sensory Evaluation.

Meng Wei, Xiaochang Liu, Peng Xie, Yuanhua Lei, Haojie Yu, Aiyun Han, Libin Xie, Hongliang Jia, Shaohua Lin, Yueyu Bai and 2 more

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 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

12 authors.

Meng WeiInstitute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.ORCID 0000-0002-6174-4252
Xiaochang LiuInstitute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Peng XieInstitute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.ORCID 0000-0001-6638-931X
Yuanhua LeiInstitute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Haojie YuInstitute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Aiyun HanChemical Engineering Institute, Shijiazhuang University, Shijiazhuang 050035, China.
Libin XieChemical Engineering Institute, Shijiazhuang University, Shijiazhuang 050035, China.
Hongliang JiaDepartment of Food and Biological Engineering, Beijing Vocational College of Agriculture, Beijing 102442, China.
Shaohua LinDepartment of Food and Biological Engineering, Beijing Vocational College of Agriculture, Beijing 102442, China.
Yueyu BaiHenan Animal Health Supervision, Zhengzhou 450046, China.
Baozhong SunInstitute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Songshan ZhangInstitute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.

Funding

Agriculture Research System of China CARS-37Food nutrition and Safety Application Technology Collaborative Innovation Center Project Support PXM2021_157102_000005Major Public Welfare Projects of Henan Province 201300111200Modern Agricultural Industry Technology System and Beef Industry Innovation Construction Project of Hebei Province HBCT2018130204National Natural Science Foundation of China 32072143Special Basic Research Fund for Central Public Research Institutes 2021-YWF-ZYSQ-07
6 · The paper itself

Abstract

This study focused on characterizing the volatile profiles and contributing compounds in pan-fried steaks from different Chinese yellow cattle breeds. The volatile organic compounds (VOCs) of six Chinese yellow cattle breeds (bohai, jiaxian, yiling, wenshan, xinjiang, and pingliang) were analyzed by GC-Q-Orbitrap spectrometry and electronic nose (E-nose). Multivariate statistical analysis was performed to identify the differences in VOCs profiles among breeds. The relationship between odor-active volatiles and sensory evaluation was analyzed by partial least square regression (PLSR) to identify contributing volatiles in pan-fried steaks of Chinese yellow cattle. The results showed that samples were divided into two groups, and 18 VOCs were selected as potential markers for the differentiation of the two groups by GC-Q-Orbitrap combined multivariate statistical analysis. YL and WS were in one group comprising mainly aliphatic compounds, while the rest were in the other group with more cyclic compounds. Steaks from different breeds were better differentiated by GC-Q-Orbitrap in combination with chemometrics than by E-nose. Six highly predictive compounds were selected, including 3-methyl-butanal, benzeneacetaldehyde, 2-ethyl-6-methyl-pyrazine, 2-acetylpyrrole, 2-acetylthiazole, and 2-acetyl-2-thiazoline. Sensory recombination difference and preference testing revealed that the addition of highly predictive compounds induced a perceptible difference to panelists. This study provides valuable data to characterize and discriminate the flavor profiles in pan-fried steaks of Chinese yellow cattle.

Indexed as

Electronic NoseVolatile Organic CompoundsAnimalsCattleChinaGas Chromatography-Mass SpectrometryOdorantsVolatile Organic CompoundsChinese yellow cattleE-noseGC-Q-Orbitrapmultivariate statistical analysissensory evaluationvolatile organic compounds

Identifiers

PMID35684525
PMCPMC9182176

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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.