• DocumentCode
    333613
  • Title

    Screening of therapeutical drugs and substances of abuse in human body fluids by near-IR laser Raman spectroscopy

  • Author

    Qu, Jianan ; Yau, O.L. ; Yau, S.F. ; Suria, David ; Wilson, Brian C.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Hong Kong Univ. of Sci. & Technol., Kowloon, Hong Kong
  • Volume
    4
  • fYear
    1998
  • fDate
    29 Oct-1 Nov 1998
  • Firstpage
    1845
  • Abstract
    Near infrared Raman spectroscopy has been successfully used to quantitatively analyze the ethanol, acetaminophen and codeine in water solution and urine samples. A partial least squares method was used to measure the analyte concentrations of interest. Two other methods incorporating the intrinsic spectrum of the analyte of interest into the calibration were examined to improve the accuracy of predicted concentration of desired species. It was found that the methods using intrinsic spectrum of the analyte of interest always achieved the better accuracy comparing with commonly used partial least squares technique. The results have demonstrated the potential of near infrared Raman technology in screening of therapeutic drugs and substances of abuse in human body fluids
  • Keywords
    Raman spectroscopy; bio-optics; biochemistry; biomedical measurement; infrared spectroscopy; spectrochemical analysis; accuracy of predicted concentration; acetaminophen; biomedical optics; calibration; clinical chemistry; codeine; ethanol; human body fluids; intrinsic spectrum; near-IR laser Raman spectroscopy; partial least squares method; quantitative analysis; screening; substances of abuse; therapeutical drugs; urine samples; water solution; Accuracy; Calibration; Drugs; Ethanol; Humans; Infrared spectra; Least squares methods; Pharmaceutical technology; Raman scattering; Spectroscopy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE
  • Conference_Location
    Hong Kong
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-5164-9
  • Type

    conf

  • DOI
    10.1109/IEMBS.1998.746951
  • Filename
    746951