Metal contamination in traditionally used Medicinal plants: a serious threat in Murshidabad district, West Bengal, India
Journal Title: International Journal of Experimental Research and Review - Year 2018, Vol 16, Issue 2
Abstract
Murshidabad district is one of the most highly Arsenic (As) prone areas of West Bengal, India. The predominantly rural population of this district greatly depends on traditionally used medicinal plants for treatment of various ailments and subjected to risk of arsenic contamination. The present study revealed that some naturally grown medicinal plants in this district were found to have the alarming level of concentration of arsenic and other metals (Fe, Cu) contamination. So, there should be raised more consciousness on the toxic metal contamination of medicinal plants specifically, collected from contaminated sites.
Authors and Affiliations
Pinaki Bose
Keywords
Related Articles
- EP ID EP702202
- DOI https://doi.org/10.52756/ijerr.2018.v16.004
- Views 99
- Downloads 0
Consequences of inappropriate behavior in youth and the issue of mobbing
The aim of the article is to present a phenomenon closely related to the issue of mobbing. It offers theoretical approaches explaining this matter. The most common sources of aggressive proceedings in early childhood wer...
In Silico Molecular Docking Analysis of Flavone and Phytol from Vilvam (Aegle marmelos) against Human Hepatocellular Carcinoma (HepG-2) Mitochondrial Proteins
The vilvam fruit is an important source of phyto compounds, that are a good natural resource for curing several health illnesses. Annually, around 906,000 new cases and 830,000 deaths worldwide are attributed to liver ca...
Assessing the Impact of Real-Time Visual Feedback during Treadmill Training on Walking Improvement in Stroke Patients
After a stroke, most patients often suffer reduced walking ability and balance. Restoring walking ability and improving balance are major goals of stroke rehabilitation. Treadmills are often used in clinical setups to ac...
A Hybrid Framework for Plant Leaf Region Segmentation: Comparative Analysis of Swarm Intelligence with Convolutional Neural Networks
Agriculture is important for the survival of humanity since about 70% of the world's population is engaged in agricultural pursuits to varying degrees. The previous and present methodology lacks ways to identify diseases...
Wavelet transformation and predictability of Gold Price Index Series with ARMA model
The U.S. gold futures market has recently attracted significant attention globally in the highly volatile equity and commodity futures markets. This study investigates an efficient algorithm based on ARMA denoising with...