Published January 16, 2021 | Version v1
Journal article

Voltammetric determination of heavy metals in honey bee venom using hanging mercury drop electrode and PLA/carbon conductive filament for 3D printer

  • 1. Charles University, Faculty of Science. Department of Analytical Chemistry, UNESCO Laboratory of Environmental Electrochemistry (Czech Republic)
  • 2. J. Heyrovský Institute of Physical Chemistry of the Czech Academy of Sciences (Czech Republic)

Description

A new method for determination of selected heavy metals (Cd, Pb, Cu, Zn, and Ni) in honey bee venom was developed. Heavy metals are metabolized and incorporated into bee products, including honey and honey bee venom (apitoxin). Their composition reflects contamination of "bee environment", providing information about heavy metal contamination in the neighborhood of human dwellings. Moreover, assessment of bee products contamination is relevant for medicine, as they are a tool for promising therapeutic and chemoprophylactic strategies against COVID-19 (SARS-CoV-2). Owing to the complicated matrix, the developed method consists of wet mineralization with sulfuric acid, nitric acid, under increased temperature, and pressure and subsequent repeated boiling with concentrated nitric acid. Determination of the selected metals was carried out by anodic or cathodic stripping voltammetry on two types of electrodes: pen-type hanging mercury drop electrode (HMDE) and PLA filament with carbon conductive admixture (PLA-C) for 3D printer. Contents of lead and cadmium in all analyzed bee venom samples were on the level of mg kg−1, of nickel and copper about ten times higher, and of zinc on the level of g kg−1. The results achieved using HMDE were recorded with average relative standard deviation (RSD) 5.4% (from 3.2% to 8.6%) and using PLA-C 11.8% (from 6.5% to 18.0%). The results achieved using both electrodes proved to be equivalent with statistical probability higher than 95%. Graphic abstract:

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Publishing Information

Journal Title
Monatshefte fuer Chemie
Journal Volume
152
Journal Issue
1
Journal Page Range
p. 35-41
ISSN
0026-9247
CODEN
MOCHAP

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Copyright (c) 2021 © Springer-Verlag GmbH Austria, part of Springer Nature 2021