Abstract:
The industries waste management is a very important issue to protect the environment, especially for contaminated heavy metals in wastewater being harmful to humans. There are several methods to indicate the heavy metal contents in wastewater. However, using microwave signal is one of interesting methods to detect the contaminated heavy metals in industrial wastewater. In this research, novel material characterization method using microwave cavity resonator to detect the amount of heavy metals contaminated in water is proposed. The cylindrical cavity resonator has been chosen and designed due to simple and very accurate sensor. Once connected with Vector Network Analysis (VNA), concentration of heavy metal solution shows dielectric constant by considering resonance frequency and Quality Factor. Then the concentration of the contaminated heavy metal can be determined. The value is varied depending on each contaminated heavy metal. During the experiments, the distilled water and the heavy metals solutions containing 250, 500, 750 and 1000 milligram/liter of six key heavy metals (copper, zinc, iron, manganese, lead and nickel) that often are found in industrial wastewater has been tested.
The volume of the heavy metal contaminated in liquid sample can be measured by resonant frequency graph and calculation of dielectric constant as well dielectric loss by perturbation method.