Changwon / Santa Clara / Tulsa / Zabcice / Staufen / Kleve / Leatherhead / Bochum / Tokyo / Munich / Eppendorf / Graz / Herisau / Hamburg / Straznice / St. Louis / /
Company
Anton Paar GmbH / ACS / Agilent Technologies / Sigma-Aldrich / Tosoh Corporation / 3M / Integra a.s. / /
Country
Germany / Switzerland / Croatia / Japan / Austria / United States / Portugal / Korea / United Kingdom / Czech Republic / / /
Facility
Karel Englis College / Brno University of Technology / Central European Institute of Technology / Mendel University / / /
IndustryTerm
important tools / artificial neuronal network / random heavy metal concentrations / heavy metal detection / heavy metal concentrations / metals ion stock solutions / voltammetric systems / heavy metal contents / heavy metal samples / argon inert gas / software-based techniques / artificial neural network / voltammetric signal pre-processing / artificial neural networks / metal ions / injecta device / chemical modification / metal mixtures / chemometric tools / metal / neuronal network / robotic device / multivariate signal processing tool / Conventional heavy metal detection methods / automated neuronal network / neural network / automated pipetting device / heavy metal pollution / heavy metal analysis / electrochemical robotic device / physico-chemical properties / heavy metal content / pure aqueous model solutions / individual metal ions / aqueous heavy metal solutions / metal peak value / automatic electrochemical robotic device / sample solutions / selected heavy metal mixtures / metal solution levels / heavy metal ions / chemicals / printing system / metal concentration pair / /
MusicGroup
X-Ray / /
Organization
Faculty of Agronomy / Karel Englis College / Institute of Technology / Department of Chemistry and Biochemistry / Mendel University / Brno University of Technology / /
Simultaneous Automatic Electrochemical Detection of Zinc, Cadmium, Copper and Lead Ions in Environmental Samples Using a Thin-Film Mercury Electrode and an Artificial Neural Network