ArticleEnvironmental science and pollution research international2018
Biocompatible metal decontamination from soil using Ageratum conyzoides.
Article in Environmental science and pollution research international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed, 10 citations in OpenAlex.
- Global Situation of Bioremediation of Leachate-Contaminated Soils by Treatment with Microorganisms: A Systematic Review.Microorganisms · 2023Review
- Turning Waste into Beneficial Resource: Implication of Ageratum conyzoides L. in Sustainable Agriculture, Environment and Biopharma Sectors.Molecular biotechnology · 2022Review
- Spatial variation of herbaceous cover species community in Cu-contaminated vineyards in Pampa biome.Environmental science and pollution research international · 2020Article
- Carbonic anhydrase modification for carbon management.Environmental science and pollution research international · 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
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Metal pollution in soil is a serious problem among waste landfill sites and associated environment all over the globe. Amelioration of contaminated soil by plant bioaccumulation is an important strategy to protect the soil environment. Ageratum conyzoides is a common weed species that can grow easily in any contaminating site and bioaccumulate heavy metals present in the e-waste dumping/recycling sites as a natural scavenger. Soil selected for the study was contaminated with waste cathode ray tube (CRT) and printed circuit board (PCB) powder in the concentration range of 1-10 g/kg. Soil decontamination was achieved by using weed plants with ethylene diamine tetraacetic acid (EDTA, 0.1 g/kg) and kinetin (100 μM) combination in pot experiments. Fe, Mn, Zn, and Cu accumulation was found to be highest in leaves (6.51-38.58; 0.14-73.12; 5.24-269.07; 9.38-116.59%); Pb and Cr in stem (22.83-113.41; 21.05-500%), respectively, as compared with blank. Ion chromatography was used as a tool for the measurement of essential ions present in plant under different conditions. Plants showed better growth in terms of shoot, root length, biomass weight, and chlorophyll content with the proposed combination. EDTA allows the metals available for the accumulation through possible complexation. Also, the compatibility of kinetin to manage stress in plant is found to be enhanced in the presence of EDTA due to possible π-π interaction. Metal stress condition causes the deficiency of essential ions in the plants thereby disturbing its biochemistry and results in its eventual death. EDTA-kinetin hybrid treatment was found to be compatible for metal decontamination from soil, its detoxification in plants by changing its environment and restoring the essential ions for the survival of plant.
Indexed as
Identifiers
What OpenQuestion holds
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.