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Improving the accuracy of stripping voltammetry detection of Cd2+ and Pb2+ in the presence of Cu2+ and Zn2+ by machine learning: Understanding and inhibiting the interactive interference among multiple heavy metals

Ning Liu, Wenshuai Ye, Gang Liu, Guo Zhao

2022Analytica Chimica Acta42 citationsDOI

Topics & Concepts

ChemistryInterference (communication)Metal ions in aqueous solutionAnalytical Chemistry (journal)Stripping (fiber)IonVoltammetryAnodic stripping voltammetryFeature (linguistics)ElectrochemistryPattern recognition (psychology)Artificial intelligenceComputer scienceEnvironmental chemistryElectrodeChannel (broadcasting)Materials scienceTelecommunicationsPhilosophyPhysical chemistryOrganic chemistryComposite materialLinguisticsElectrochemical Analysis and ApplicationsAdvanced Chemical Sensor TechnologiesElectrochemical sensors and biosensors
Improving the accuracy of stripping voltammetry detection of Cd2+ and Pb2+ in the presence of Cu2+ and Zn2+ by machine learning: Understanding and inhibiting the interactive interference among multiple heavy metals | Litcius