Evidence map›Paper›PMID 36900598›Full record

ArticleFoods (Basel, Switzerland)2023

Sub-Regional Variation and Characteristics of Cabernet Sauvignon Wines in the Eastern Foothills of the Helan Mountain: A Perspective from Phenolics, Visual Properties and Mouthfeel.

Bing-Yan Zhao, Xin-Ke Zhang, Yi-Bin Lan, Chang-Qing Duan, Bao-Qing Zhu, De-Mei Li

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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
–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

6 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

6 authors.

Bing-Yan ZhaoDepartment of Food Science and Engineering, College of Food Science and Engineering, Beijing University of Agriculture, Beijing 102206, China.ORCID 0000-0001-6071-4679
Xin-Ke ZhangDepartment of Food Science and Engineering, College of Food Science and Engineering, Beijing University of Agriculture, Beijing 102206, China.
Yi-Bin LanCenter for Viticulture and Enology, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China.ORCID 0000-0002-2474-2522
Chang-Qing DuanCenter for Viticulture and Enology, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China.ORCID 0000-0002-5218-8266
Bao-Qing ZhuBeijing Key Laboratory of Food Processing and Safety in Forestry, Department of Food Science, College of Biological Sciences and Biotechnology, Beijing Forestry University, Beijing 100083, China.ORCID 0000-0002-9767-6888
De-Mei LiDepartment of Food Science and Engineering, College of Food Science and Engineering, Beijing University of Agriculture, Beijing 102206, China.

Funding

the Key Project of R&D Program of Ningxia Hui Autonomous Region, China 2021BEF02014the National Natural Science Foundation of China U20A2042
6 · The paper itself

Abstract

As one of the most promising wine regions in China, the eastern foothills of the Helan Mountain (EFHM) in the Ningxia Hui Autonomous Region has attracted great attention recently. Geographically, EFHM is divided into six sub-regions, namely Shizuishan, Xixia, Helan, Qingtongxia, Yongning and Hongsipu. However, there have been few reports on the character and differences between wines in the six sub-regions. In this experiment, a total of 71 commercial Cabernet Sauvignon wines from six sub-regions were collected, and their phenolic compounds, visual properties and mouthfeel were investigated. The results showed that wines from the six sub-regions of EFHM showed distinctive phenolic profiles and could be distinguished through the OPLS-DA mode using 32 potential markers. In terms of color, Shizuishan wines showed higher

Indexed as

Cabernet SauvignonCATAphenolic compoundsQDAsub-region

Identifiers

PMID36900598
PMCPMC10000446

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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.