Induction of oxidative stress and DNA damage in two common fish species of rivers and reservoirs in Ilorin, Northcentral, Nigeria

Anifowoshe, Abass Toba; Oladipo, Segun O.; Oyinloye, A. N.; Opute, Augusta Onyebuchi; Odofin, E. O.; Omotola, Amusan Oluwatobi; Abdulrahim, Y. M.; Akinseye, K. M.; Abdulkareem, S.I.; Iyiola, Oluyinka A.

doi:10.1080/16583655.2022.2074201

Cited by 5 publications

(1 citation statement)

References 53 publications

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“…This damage is a mutagenic effect of heavy metals in contaminated water (Ali et al, 2020). The frequency of MN depends on several factors such as season, stress, type of pollutant and heavy metals (Anifowoshe et al, 2022). Mercury has a strong toxic effect on cell membranes which has the ability to cross cell membranes and disrupt the cell's metabolic system.…”

Section: Resultsmentioning

confidence: 99%

Hematological Analysis of Red Bader Fish (Barbonymus altus) as a Biomarker in Assessing Pollution Status in Brantas River, Surabaya, East Java

Anasiru,

Hertika,

Yanuhar

2024

jppipa, pendidikan ipa, fisika, biologi, kimia

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The Brantas River has many functions for both humans and the aquatic organisms in it. The type of fish that is often found in the Brantas River in Surabaya is the red bader fish (Barbonymus altus). Hematology is a sensitive parameter and can be used as a marker in assessing water conditions. The aim of this research is to analyze the hematological profile of red bader fish (Barbonymus altus) to assess the condition of the Brantas River, Surabaya. The research was carried out at 3 locations on the Brantas River in Surabaya with 3 sampling times with an interval of 1 month starting in January – March 2022. The parameters observed were water quality (temperature, TSS, TDS, pH, DO, BOD, ammonia and heavy metals Hg) and hematological parameters (erythrocytes, hemoglobin, hematocrit, leukocytes and micronuclei). Analysis of the relationship between water quality parameters and hematology using the Correspondence Correlation Analysis (CCA) method. The results show that there are water quality parameters that do not meet quality standards and there are abnormal hematological parameters. CCA analysis shows that there is a correlation between water quality and hematological parameters with moderate concentrations (erythrocytes, hemoglobin and hematocrit) and strong concentrations (leukocytes and micronuclei).

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Section: Resultsmentioning

confidence: 99%