Perga's electrical characteristics

Tomás Regrut,Monika Boziková,Veronika Ardonová,Peter Hlavác,Ján Brindza,Ján Novák,Vladimír Cviklovic,Zuzana Hlavácová

doi:10.5937/jpea1703171r

Abstract

The aim of this study was to measure the electrical properties of perga. We measured the capacitance, resistance and impedance. Each property was measured at all frequencies three times. Average value and standard deviation has been computed from these ones. The resistance, impedance, and capacitance decreases with frequency according to power function. The impedance has a slightly higher value as resistance, which is caused by the capacitance of perga. It was determined that the dielectric constant of perga increases when the moisture content of perga increases. The minimal decrease is at higher frequencies. The measurements indicate that perga must be included in the organic heterogeneous multi-component dielectrics or semi-conductors.

Highlights

Bees products like honey, pollen, royal jelly, propolis, bee venom have immense medical importance
The regression equation has the shape of decreasing power function, e.g. for resistance where R – resistance, R0 – reference resistance, f – frequency, f0 = 1 kHz, k – constant
The change of resistance, impedance, and resistivity at low frequency is significant, compared to the higher frequencies.The impedance has slightly higher values as resis-tance, which is caused by the capacitance of perga

Summary

Introduction

Pollen, royal jelly, propolis, bee venom have immense medical importance. Bee bread is considered the most perfect of all natural foods – used by the Greeks as ambrosia. It includes many vitamins (A, B1, B2, B6, B12, C, D, E, P, PP) and trace elements (potassium, magnesium, calcium, copper, iron, sili-con, sulphur, chlorine, manganese) (McIntyre and Snyder, 1978). Bee bread is of benefit for the materials of health food diets, and for in patients undergoing various diseases such as cancer, cardio-vascular diseases, diabetes, and hypertension (Nagai et al, 2005)

Objectives

Methods

Results

Conclusion