دراسة كيموحياتية لتقدير بعض الايونات ذات التأثير السمي في الأنسجة والسوائل البايولوجية

Rp- biochemical study for the determination of some toxic ions in biological tissues and fluids

A poison define as any substance introduce into the body if sufficient amount of turbulence caused by the temporary or permanent, or led to death and that the poisoning is characterized by symptoms gradate and more often commensurate with the severity with the type and amount of the poison inside the body.

    The present Study aims to determine  the level of the elements that have a biochemical effects on the health of the individual and to identify appropriate ways to reduce  affection of chemicals in the chemical laboratory.

     To achieve  this aim ,20 samples group  of students from the Department of Chemistry (test) include males (10) smokers (10)non-smokers compared with the control group, which contains (15) male model (8) smokers (7) non-smokers, as estimated elements (copper, lead, mercury, nickel and chromium) for both groups (test and control) and to find relations among them. obtained models (blood, urine and hair) from students of the college  of Science – Karbala University.

  Statistical analysis data showed through the connection  relationship between the two groups ( test and control) all the elements (Pb⁺²,Cr⁺³,Ni⁺²,Cu⁺²,Hg⁺²) significant.

 Statistical analysis data showed through the connection elationship between the two groups ( test and control) , elements (Ni⁺²,Cu⁺²,Hg⁺²)non-significant ,except(Cr⁺³,Pb⁺²)significant for the models hair.

    The serum samples showed a statistical analysis data a significant relationship for (Pb⁺²,Cr⁺³, Ni⁺²), except (Cu⁺²,Hg⁺²) non- significant, models urine sample the statistical analysis data showed a significant relationship (Cu⁺²,Hg⁺²,Cr⁺³,Ni⁺²) and non-significant for the lead. The results showed in the test group (smokers and non-smokers) for the elements (Cu⁺²,Hg⁺²,Cr⁺³) for all models (hair, urine and blood) The non- significant relationship, however, for the (Ni⁺²) a significant relationship to all models, The (Pb⁺²) a significant relationship to the models (Hair and serum) and non- significant of the models (urine).
The results showed in the control group (smokers and non-smokers) for the elements (Cu⁺²,Hg⁺²) non- significant relationship to all the models, and for the element (Pb⁺²) there is non- significant in all models and also showed the results for the chromium element non- significant relationship for (hair and serum) models and significant for urine models.

The nickel element, find  significant relationship  in the models (urine and hair) and non- significant for serum samples.

For the relationship between the element , statistical analysis data showed in test group for the chromium element, non- significant relationship with the (Cu⁺²,Hg⁺²,Pb⁺²) and with the (Ni⁺²) significant relationship . The copper element was found that non- significant relationship with the (Cr⁺²,Ni⁺²) and a significant  with the (Pb⁺², Hg ⁺²). The mercury element was found that the relationship was non- significant with  (Cr ⁺³) and significant with the (Cu⁺²,Pb⁺²,Ni⁺²). The nickel element found that the relationship with the (Cu⁺², Pb⁺²) non- significant, and significant with the (Hg⁺²,Cr⁺³). The lead element found that the relationship with (Cr⁺³, Ni⁺²) non-significant  and significant with the (Cu⁺²,Hg⁺²).

Statistical analysis data also showed in the control group for the chromium element, non- significant relationship with the (Cu⁺², Ni⁺²) and significant with the (Pb⁺²,Hg⁺²). The copper element found to be non – significant relationship with the (Cr⁺², Ni⁺², Pb⁺², Hg⁺²). The mercury element found that the non- significant relationship with (Cu⁺²) and significant with the (Cr⁺³, Pb⁺², Ni⁺²). The nickel element found non- significant relationship not with the (Cr⁺³, Cu⁺², Pb⁺²) and significant with(Hg ⁺²). The lead element found non significant relationship with the (Cu⁺², Ni⁺²) and significant with the (Cr⁺³, Hg⁺² ).