Evidence map›Paper›PMID 30911848›Full record

ArticleEnvironmental monitoring and assessment2019

Assessment of heavy metal contamination in two edible fish species Carassius carassius and Triplophysa kashmirensis of Dal Lake, Srinagar, Kashmir, India.

Mohd Yousuf Rather, Younus Mohd Tilwani, Arpita Dey

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Article in Environmental monitoring and assessment, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Bioaccumulation of heavy metals in fish species of Iran: a review.Environmental geochemistry and health · 2021
    Review
  2. Article
  3. Article
  4. 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

3 authors.

Mohd Yousuf RatherDepartment of Ecology and Environmental Sciences, Pondicherry University, Puducherry, India. yousufbashir786@gmail.com.ORCID http://orcid.org/0000-0002-9217-7000
Younus Mohd TilwaniDepartment of Biotechnology, Pondicherry University, Puducherry, India.
Arpita DeyDepartment of Ecology and Environmental Sciences, Pondicherry University, Puducherry, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study was aimed to examine the concentration of heavy metals in the two edible fish species Carassius carassius and Triplophysa kashmirensis of the Dal Lake (Srinagar, Jammu, and Kashmir, India). Metals cadmium (Cd), manganese (Mn), copper (Cu), zinc (Zn), lead (Pb), and chromium (Cr) were analyzed using atomic absorption spectroscopy (AAS). Differences in the heavy metal accumulation were observed between the two species as well as between different sizes of the same species. Small size fishes exhibited more concentration of heavy metals than the larger size fishes of the same species. Heavy metals were found in the ranking order of Zn > Cr > Pb > Cu > Mn > Cd in both species of fishes and in both sizes as well. Zn, being the most concentrated metal found in both species, can pose a threat in the near future. Since both species are edible and constitute an essential part of human diet, the heavy metals assessed can be bioaccumulated in humans when consumed; hence, an extensive investigation is needed to evaluate the heavy metal concentration of other edible fishes of the Dal Lake in the future. The study will also be helpful in providing baseline data on the heavy metal accumulation of edible fish species in freshwater ecosystems.

Indexed as

AnimalsCarpsEnvironmental MonitoringFishesHumansIndiaLakesMetals, HeavySeafoodSpectrophotometry, AtomicWater Pollutants, ChemicalMetals, HeavyWater Pollutants, ChemicalAASBioaccumulationDal LakeFishFreshwater ecosystemHeavy metalsWater pollution

Identifiers

What OpenQuestion holds

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Registered trials

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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.