Publication Details
ISAAC KWESI NOONI
- NUGS-Nanjing
- Photogrammetry & Remote Sensing (Phd)
- Nanjing University Of Information Science And Technology
Pharmacognostic Evaluation and Physicochemical Analysis of Paullinia pinnata L. (Sapindaceae) 06 Feb 2020
Journal of Pharmacognosy and Phytochemistry
Quantile Mapping Bias Correction on Rossby Centre Regional Climate Models for Precipitation Analysis over Kenya, East Africa 06 Feb 2020
Preprints
Evaluation of the Rossby Centre Regional Climate Model Rainfall Simulations over West Africa Using Large-Scale Spatial and Temporal Statistical Metric 06 Feb 2020
Atmosphere
High Spatial Resolution Simulation of Sunshine Duration over the Complex Terrain of Ghana 06 Feb 2020
Sensors
Support vector machine to map oil palm in a heterogeneous environment 06 Feb 2020
International Journal of Remote Sensing
Assessing contract management as a strategic tool for achieving quality of work in Ghanaian construction industry: A case study of FPMU and MMDAs 06 Feb 2020
Journal of Financial Management of Property and Construction
Evapotranspiration and its Components in the Nile River Basin Based on Long-Term Satellite Assimilation Product 06 Feb 2020
Water
Pharmacognosy Research Journal
06 Feb 2020 | 20:32
The levels of 5 minerals namely; lead, arsenic, mercury, cadmium, and aluminum were assessed in 10 medicinal plants sampled from 5 different geographical locations to determine the effect of location on the plants' mineral content. Atomic absorption spectrophotometry (wet digestion) was used for the analyzes, and content of the minerals per sample was expressed as μg/g. The levels of minerals were compared to their limit specification for herbs and daily total intake of these minerals. A two-way analysis of variance, which tends to look at the effect of the location and the medicinal plant itself on the plants mineral content, was used in the statistical analysis. Lead (Pb) was present in all plant species examined, except Ocimum gratissimum. One plant exceeded the maximum safety limit for lead. Cadmium was also detected in some of the medicinal plant species (44%) whilst majority were below the detection limit (0.002) representing 56%. 40% of the plant species exceeded the limit for cadmium. Mercury and arsenic in all the plant species were below the detection limit (0.001). Significant variation existed in mineral content for the various locations (P ≤ 0.05). The findings generally suggest the variation in mineral levels for the various locations. Thus, our study has shown that same species of medicinal plants, growing in different environments, accumulates different levels of heavy metals.