Evidence map›Paper›PMID 38178991›Full record

ArticleInternational journal of analytical chemistry2023

Effects of Soil Properties on Pb, Cd, and Cu Contents in Tobacco Leaves of Longyan, China, and Their Prediction Models.

Wei Xi, YuanYe Ping, HaiYang Cai, Qian Tan, Chaoyang Liu, Junru Shen, YaWen Zhang

Open access · goldAbstract read
In one paragraph

Article in International journal of analytical chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 47% 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. Article
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 3 institutions in 1 country.

Wei XiCollege of Primary Education, Zhengzhou Normal University, Zhengzhou 450044, China.ORCID https://orcid.org/0000-0002-7521-5482
YuanYe PingCollege of Primary Education, Zhengzhou Normal University, Zhengzhou 450044, China.ORCID https://orcid.org/0000-0002-4118-0787
HaiYang CaiCollege of Resources and Environment, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
Qian TanGuangzhou Lanshen Technology Co., Ltd., Guangzhou 510000, China.
Chaoyang LiuCollege of Primary Education, Zhengzhou Normal University, Zhengzhou 450044, China.
Junru ShenCollege of Primary Education, Zhengzhou Normal University, Zhengzhou 450044, China.
YaWen ZhangCollege of Primary Education, Zhengzhou Normal University, Zhengzhou 450044, China.
Zhengzhou Normal University · CNChinese Academy of Sciences · CNFujian Agriculture and Forestry University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Longyan City in Fujian Province is one of China's top-quality tobacco-producing areas and plays an essential role in local economic development. To determine the correlation between heavy metal content in tobacco leaves and soil factors, soil physical and chemical properties and heavy metal contents of lead, cadmium, and copper in tobacco leaves were measured and analyzed by the correlation regression method. The content of lead, cadmium, and copper in soil was determined using hydrochloric acid extraction-AAS and graphite furnace atomic absorption spectrometry. Inductively coupled plasma-mass spectrometry was used to determine heavy metal in tobacco leaf. The findings revealed that the average concentrations of lead, cadmium, and copper in the soil were 12.1, 0.092, and 3.88 mg/kg, respectively. In contrast, the average levels of lead, cadmium, and copper in tobacco leaves were 2.33, 4.89, and 4.35 mg/kg, respectively. The cadmium enrichment coefficient of 54.3 was higher than lead and copper, indicating a greater health risk. Soil pH value was negatively correlated with lead content in tobacco leaf, while potassium and phosphorus nutrient levels were negatively correlated with copper content. In contrast, a positive correlation was established between the presence of organic matter with cadmium content in tobacco leaves. The prediction models of lead, cadmium, and copper in tobacco leaves can be expressed by the regression equation corresponding to each heavy metal as follows:

Identifiers

PMID38178991
PMCPMC10766475
OpenAlexW4390315266

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.