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MultiShapeC, an algorithm to assess concentration in multi-shape nanoparticle samples: nanosilver, a case study.

Rodrigo Nicolás NúñezAlicia Viviana VegliaNatalia Lorena Pacioni
Published in: RSC advances (2022)
Shape, size, and dispersity play a crucial role in the calculation of colloidal nanoparticle concentrations, which results in remarkable differences in the determination of parameters like Stern-Volmer constants. In this work, we propose an algorithm named MultiShapeC to include the variability in shapes and polydispersity in the concentration calculation. This algorithm was validated using the quenching of carbazole fluorescence emission by silver nanoparticles.
Keyphrases
  • silver nanoparticles
  • machine learning
  • deep learning
  • neural network
  • energy transfer
  • iron oxide
  • single molecule
  • solid phase extraction
  • mass spectrometry
  • molecularly imprinted
  • quantum dots