Evidence map›Paper›PMID 34945659›Full record

ArticleFoods (Basel, Switzerland)2021

From Soil to Grape and Wine: Geographical Variations in Elemental Profiles in Different Chinese Regions.

Xiaoyun Hao, Feifei Gao, Hao Wu, Yangbo Song, Liang Zhang, Hua Li, Hua Wang

Open access · goldAbstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.7field-weighted citation impact, top 7% 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

14 citing papers in PubMed, 32 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

7 authors at 4 institutions in 1 country.

Xiaoyun HaoCollege of Enology, Northwest A&F University, Yangling, Xianyang 712100, China.
Feifei GaoCollege of Enology, Northwest A&F University, Yangling, Xianyang 712100, China.
Hao WuFood Inspection and Quarantine Center, Shenzhen Customs, Shenzhen 518033, China.
Yangbo SongAgriculture and Animal Husbandry College, Qinghai University, Xining 810015, China.ORCID 0000-0001-8109-2223
Liang ZhangCollege of Enology, Northwest A&F University, Yangling, Xianyang 712100, China.
Hua LiCollege of Enology, Northwest A&F University, Yangling, Xianyang 712100, China.
Hua WangCollege of Enology, Northwest A&F University, Yangling, Xianyang 712100, China.
Northwest A&F University · CNState Forestry and Grassland Administration · CNQinghai University · CNShenzhen Academy of Inspection and Quarantine · CN

Funding

National Key Research and Development Project of China 2019YFD1002500Shaanxi Provincial Key Research and Development Projects 2020ZDLNY07-08
6 · The paper itself

Abstract

Elemental profiles are frequently applied to identify the geographical origin and authenticity of food products, to guarantee quality. The concentrations of fifteen major, minor, and trace elements (Na, Mg, K, Ca, Al, Fe, Mn, Cu, Zn, Rb, Sr, Li, Cd, Cs, and Ba) were determined in soils, "Meili" grapes, and wines from six regions in China by inductively coupled plasma mass spectrometry (ICP-MS). The elemental concentrations in these samples, according to the geographical origins, were analyzed by one-way analysis of variance (ANOVA) with Duncan's multiple comparisons. The bioconcentration factor (BCF) from soil to grape and the transfer factor (TF) from grape to wine were calculated. Mg, K, Ca, Cu, Zn, Rb, Sr, and Ba presented higher BCF values than the other seven elements. The TF values of six elements (Na, Mg, K, Zn, Li, and Cs) were found to be greater than one. Moreover, the correlation of element content between the pairs of soil-grape, grape-wine, and bioconcentration factor (BCF)-environmental factor were analyzed. Significant correspondences among soil, grape, and wine were observed for K and Li. Two elements (Sr and Li) showed significant correlations between BCF and environmental factor (relative humidity, temperature, and latitude). A linear discriminant analysis (LDA) with three variables (K, Sr, Li) revealed a high accuracy (>90%) to determine the geographical origin for different Chinese regions.

Indexed as

bioconcentration factorelemental profileenvironmental factorgeographical variationICP-MStransfer factor

Identifiers

PMID34945659
PMCPMC8701803
OpenAlexW4200077571

What OpenQuestion holds

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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.