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Voltammogram “Landscapes” Aid Detection and Identification of In Vivo Electrochemical Signals
Author(s) -
Phillips Paul E. M.,
Stamford Jonathan A.
Publication year - 1999
Publication title -
electroanalysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.574
H-Index - 128
eISSN - 1521-4109
pISSN - 1040-0397
DOI - 10.1002/(sici)1521-4109(199905)11:5<301::aid-elan301>3.0.co;2-b
Subject(s) - identification (biology) , signal (programming language) , electrochemistry , biological system , computer science , position (finance) , cyclic voltammetry , voltammetry , pattern recognition (psychology) , chemistry , analytical chemistry (journal) , artificial intelligence , chromatography , electrode , biology , botany , finance , economics , programming language
Voltammetry does not have the capacity to identify detected compounds unequivocally but relies largely upon independent verification criteria. Nevertheless, the most useful starting points are the size, shape and position of the oxidation peaks. While constant for many compounds, some signals, such as serotonin, change with time and can confound attempts at identification. In the present article we have used voltammogram sequences to generate ‘landscapes’ as an aid to detection and identification of the constituents of electrochemical signals. This enables one to integrate temporal information into the signal identification criteria and allows the detection of electrochemical features that may be missed on single scans. We report several instances of applications where voltammogram landscapes aid detection.