Heavy Metal Content of Cow's Milk from Maiduguri Metropolis and Its Environs, Borno State Nigeria

Journal Title: American journal of Engineering Research - Year 2018, Vol 7, Issue 3

Abstract

Milk is a very important component of human diet. The presence of heavy metals in milk at high concentration may create significant health problems. This study therefore was aimed at determining the level of the heavy metals: Pb, Cu, Cr, Co, Cd, Zn, Ni, Fe, Mn and Ag in fresh milk samples from, Kasuwan shanu (cattle market), University of Maiduguri animal farm and Jimtilo village all in Jere local government area; and Auno in Konduga local government area, Nigeria. Samples were collected from lactating cows by milking manually in the morning hours. Collection was done in phases; the first three month of lactation; the six, and the ninth month of lactation period. Samples were digested by the optimized microwave digestion method using HNO3 and H2O2. Sample analysis was done using Atomic Absorption Spectrometer. The results indicate that, of all the elements determined Fe has the highest concentration that ranged from 0.365 to 10.688 µg/g followed by Mn (0.047 to1.965µg/g), then Pb (0.168 to 1.394 µg/g) and to some extent Zn which ranged from 0.130 to 1.177 µg/g. The level of Cd ranged from 0.005 to 0.028µg/g. Increase in the level of some of the elements is proportional to the lactation periods and as well as the rate of feeding which is one of source of the elements by the lactating cow. The sampling site in this study are primary supplier of milk to Maiduguri Metropolis, it may be ascertained that, milk from these areas of study are good sources of Fe, and to some extent Mn and Zn. Milk from these site therefore contributes to the total iron and zinc intake. Consumption of milk form Maiduguri may be free of risks, but bioaccumulation of Pb, Cd and to certain level Ni through the food chain and intake from other food stuff should also be of concern. Special attention should also be given to heavy metals as once they are present in concentrations greater than the acceptable daily intake, may be dangerous to health especially children.

Authors and Affiliations

Garba, S. T. , Abdullahi, S.

Keywords

Related Articles

Multiple Linear Regression Approach To Predicting Noise Pollution Levels and Their Spatial Patterns For The Tarkwa Mining Community Of Ghana

Predicting and preventing intraurban noise pollution in our communities are very challenging for urban planning, epidemiological studies and environmental management; especially in the developing world. Most existing noi...

Designing a Web Application and Detecting Vulnerabilities Using Vega Vulnerabilities Scanner

Web applications are popular due to the ubiquity of web browsers and the conveniences if using a web browser as a client to update and maintain web applications. Every day a variety of newly web applications are raised o...

Fault Detection and Isolation (FDI): Efficient Technique and Analysis

This paper deals extensively on Fault Detection and Isolation (FDI) techniques, using a three tank system with two inputs, three measured outputs and three States. And describes how the Fault detection and Isolation was...

Tc99m-Sestamibi Dosimetry in Myocardial Perfusion Imaging

This paper addressed myocardial perfusion imaging providing a spatial dosimetric investigation of the 99mTc-radiopharmaceutical dose distribution at the myocardium. Radiological data manipulation was performed in order t...

Effect of Colour Rendering for University Campus Landscape Lighting at Night in a Snowy Region

The importance of the landscape lighting of urban nightscapes is increasing with the urban lifestyle for a 24-hour-life. In addition, the feature of landscape lighting has changed from emphasis on the lighting design for...

Download PDF file
  • EP ID EP396496
  • DOI -
  • Views 57
  • Downloads 0

How To Cite

Garba, S. T. , Abdullahi, S. (2018). Heavy Metal Content of Cow's Milk from Maiduguri Metropolis and Its Environs, Borno State Nigeria. American journal of Engineering Research, 7(3), 63-73. https://www.europub.co.uk/articles/-A-396496