ArticleEnvironmental monitoring and assessment2020
Changes in heavy metal accumulation in some edible landscape plants depending on traffic density.
Article in Environmental monitoring and assessment, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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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.
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.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it, 123 citations in OpenAlex.
- A systematic review/meta-analysis of xenobiotics in apple products highlights lack of compliance with European Food Safety Authority Regulation.Comprehensive reviews in food science and food safety · 2025Pooled it
- Distribution, Source, and Ecological Risk of Heavy Metals in Sewage Irrigation of Taiyuan, Shanxi Province, China.Toxics · 2024Article
- Probabilistic Risk Characterization of Heavy Metals in Peruvian Coffee: Implications of Variety, Region and Processing.Foods (Basel, Switzerland) · 2023Article
- An analysis of particulate pollution using urban aerosol pollution island intensity over Delhi, India.Environmental monitoring and assessment · 2022Article
- Z-number-based AQI in rough set theoretic framework for interpretation of air quality for different thresholds of PMEnvironmental monitoring and assessment · 2022Article
- Biomonitoring and phytoremediation potential of the leaves, bark, and branch bark of street trees for heavy metal pollution in urban areas.Environmental monitoring and assessment · 2022Article
- Analysis of atmospheric SOEnvironmental monitoring and assessment · 2021Article
- Periodical and regional change of particulate matter and COEnvironmental monitoring and assessment · 2021Article
- The potential of using Cedrus atlantica as a biomonitor in the concentrations of Cr and Mn.Environmental science and pollution research international · 2021Article
- Mobile monitoring and spatial prediction of black carbon in Cairo, Egypt.Environmental monitoring and assessment · 2021Article
- Using Cedrus atlantica's annual rings as a biomonitor in observing the changes of Ni and Co concentrations in the atmosphere.Environmental science and pollution research international · 2021Article
- The usability of Cupressus arizonica annual rings in monitoring the changes in heavy metal concentration in air.Environmental science and pollution research international · 2021Article
- The effects of increased exposure time to UV-B radiation on germination and seedling development of Anatolian black pine seeds.Environmental monitoring and assessment · 2021Article
- Assessment of heavy metal contamination in herbal medicinal products consumed in the Iranian market.Environmental science and pollution research international · 2021Article
- Application of artificial neural networks to predict the heavy metal contamination in the Bartin River.Environmental science and pollution research international · 2020Article
- Ca, Cu, and Li in washed and unwashed specimens of needles, bark, and branches of the blue spruce (Picea pungens) in the city of Ankara.Environmental science and pollution research international · 2020Article
- The possibility of using Scots pine needles as biomonitor in determination of heavy metal accumulation.Environmental science and pollution research international · 2020Article
- Certain soil characteristics and light conditions of enzyme activities and variance conditional to plant type.Environmental monitoring and assessment · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Food scarcity is one of global issues that our world faces today. A significant portion of the world's population has no access to adequate food, and it is stated that approximately 830 million people suffer from chronic famine. This predicament is estimated to grow even further. Many attempts have been made to solve the food problem. Some examples are using new resources which have not been used for dietary purposes up to this point, planting new areas to produce food products, and increasing the potential harvest per an area unit. One of the solution proposals, which has come up recently within this scope, is the term of "edible landscaping", which means the use of edible plants in the landscaping works, and thus maximizing the potential for food security. However, edible landscaping poses a considerable risk. Heavy metal accumulation in plants grown in urban centers can reach to high levels, and consuming these plants will allow these heavy metals a direct access into the human body and wreak havoc to the public health. But since this subject has not been sufficiently studied yet, the extent of such a risk is not accurately determined yet. This study aims to determine the changes of Ni, Co and Mn concentrations depending on traffic density in the leaves, branches, barks and fruits of cherry, plum, mulberry and apple trees growing in areas with dense traffic, low-density traffic and no-traffic zones in Kastamonu province. The results showed that the concentrations of Ni and Co elements increased in many organelles depending on traffic density, and that the heavy metal concentrations in fruits could be very high. This situation indicates that fruit and vegetables grown in industrial zones and urban centers, where heavy metal pollution may be high, can be harmful to the public health if consumed as crops.
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Registered trials
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.