Bilirubin estimation using non-invasive optical diagnostic technique

Kabita Kumari1, Sharvan Kumar Pahuja1, Sanjeev Kumar2

  • 1Department of Instrumentation and Control Engineering, Dr B. R. Ambedkar National Institute of Technology, Jalandhar, India.

Insights

This study introduces a non-invasive, reflectance-based method for measuring bilirubin levels in newborns. This innovation offers a simpler, potentially point-of-care solution for early jaundice detection, reducing risks associated with invasive procedures.

Area of Science:

  • Biomedical Engineering
  • Neonatal Medicine
  • Spectrophotometry

Background:

  • Jaundice affects 70% of newborns, posing risks of hearing impairment and intellectual disabilities.
  • Early jaundice detection is crucial but challenging with current invasive methods.
  • Bilirubin measurement is key for managing neonatal jaundice.

Purpose of the Study:

  • To develop and validate a reflectance-based, non-invasive method for measuring bilirubin levels.
  • To identify optimal wavelengths for bilirubin detection using spectrophotometry.
  • To compare the accuracy of the developed method against established clinical standards.

Main Methods:

  • Spectrophotometric tests were used for wavelength selection on a sensing system.
  • A prototype device was tested on 18 bilirubin-laced skin-mock samples and 6 human subjects.
  • Results were compared with radiometer and clinical auto-analyzer values.

Main Results:

  • Optimal wavelengths for increased and normal bilirubin serum were identified as 460±5 nm and 420±5 nm, respectively.
  • The developed method showed a high correlation (r=0.9808) with clinical auto-analyzer values.
  • The prototype successfully detected bilirubin levels, demonstrating accuracy and reliability.

Conclusions:

  • A reflectance-based method provides an accurate, non-invasive alternative for bilirubin measurement.
  • The identified wavelengths are crucial for future spectrophotometric-based jaundice detection systems.
  • The developed prototype shows significant potential for point-of-care applications in resource-limited settings.

Related Concept Videos