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Maximizing Electrochemical Information: A Perspective on Background-Inclusive Fast Voltammetry.

Cameron S MovassaghiMiguel Alcañiz FillolKenneth T KishidaGregory McCartyLeslie A SombersKate M WassumAnne Milasincic Andrews
Published in: Analytical chemistry (2024)
This perspective encompasses a focused review of the literature leading to a tipping point in electroanalytical chemistry. We tie together the threads of a "revolution" quietly in the making for years through the work of many authors. Long-held misconceptions about the use of background subtraction in fast voltammetry are addressed. We lay out future advantages that accompany background-inclusive voltammetry, particularly when paired with modern machine-learning algorithms for data analysis.
Keyphrases
  • data analysis
  • machine learning
  • artificial intelligence
  • gold nanoparticles
  • deep learning
  • big data
  • healthcare
  • current status
  • computed tomography
  • drug discovery
  • mass spectrometry
  • simultaneous determination