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A smartphone digital image colorimetric method based on nanoparticles for determination of lamotrigine.

Yasaman Sefid-SefidehkhanMehdi MokhtariAbolghasem JouybanMaryam KhoshkamMaryam KhoubnasabjafariVahid Jouyban-GharamalekiAlireza Foroumadi
Published in: Bioanalysis (2023)
Aim: A colorimetric approach for quantification of lamotrigine using spectrophotometric and smartphone image analysis is described in this study. Methods: For full optimization and validation procedures, UV-visible spectroscopy was used, and image analysis was carried out with the help of an app (PhotoMetrix PRO ® ). Then, as a multivariate calibration method, parallel factor analysis was used for data analysis. Results: The results demonstrated the capacity of these methods to estimate lamotrigine concentrations in the range of 0.1-7.0 μg.ml -1 in exhaled breath condensate, indicating the value of using digital images and smartphone applications in combination with chemometric tools. Conclusion: The image analysis can be superior for its fast and reliable lamotrigine analysis in biological samples.
Keyphrases
  • data analysis
  • gold nanoparticles
  • deep learning
  • hydrogen peroxide
  • sensitive detection
  • fluorescent probe
  • convolutional neural network
  • single molecule
  • low cost
  • liquid chromatography