Accumulation of Arsenic, Copper and Iron in Common Medicinal Plants of Murshidabad district, West Bengal, India

  • Soume Pyne Department of Environmental Science, University of Kalyani, Nadia-741235, West Bengal, India
  • Subhas Chandra Santra Department of Environmental Science, University of Kalyani, Nadia-741235, West Bengal, India
Keywords: Arsenic, copper, iron, medicinal plant, Murshidabad

Abstract

Medicinal plants are the most important source of life saving drugs for the majority of the world’s population. Human knowledge about medicinal value of the plants date back probably for more than five thousand years. Murshidabad is one of the severe arsenic contaminated districts in West Bengal. This study evaluated the potential of 27 medicinal plants, grown & collected from the contaminated site of Murshidabad district. Plant, soil and water samples were collected and analyzed for total Arsenic (As), Copper (Cu), Iron (Fe) concentration. The plant samples were collected from side of agricultural field and roadside area. Results revealed that arsenic-contaminated irrigation water ranged from (0.20– 0.37 mg l-1) and soil (2.23–5.31 mg kg1 ) considerably influenced in the accumulation of arsenic in vegetables, crops, rice, pulses, as well as medicinal plants in the study area. Copper and Iron which are also an essential nutrients both for plant growth and to complete plant lifecycle. Thus it reveals from the present survey that the medicinal plants, grown in the studied area are probably not safe for using as medicinal purposes and there is a probability of entry of arsenic to human through the use of medicinal plants grown in this region. To the best of our knowledge this is the initial work reporting on the useful baseline data on the heavy metal content in common medicinal plants in arsenic prone areas of rural West Bengal.

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Published
2017-02-28
How to Cite
Pyne, S., & Santra, S. (2017). Accumulation of Arsenic, Copper and Iron in Common Medicinal Plants of Murshidabad district, West Bengal, India. International Journal of Experimental Research and Review, 9, 54-62. Retrieved from https://qtanalytics.in/journals/index.php/IJERR/article/view/1303
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Articles