1 / 32

NEW APPLICATION OF INFRARED SPECTROSCOPY IN MEDICAL DIAGNOSIS

NEW APPLICATION OF INFRARED SPECTROSCOPY IN MEDICAL DIAGNOSIS. Prof. János Mink Department of Molecular Spectroscopy Institute of Structural Chemistry Chemical Research Center of the Hungarian Academy of Sciences H-1025-Budapest Pusztaszeri str. 59-67.

rosemary
Download Presentation

NEW APPLICATION OF INFRARED SPECTROSCOPY IN MEDICAL DIAGNOSIS

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. NEW APPLICATION OF INFRARED SPECTROSCOPY IN MEDICAL DIAGNOSIS Prof. János Mink Department of Molecular Spectroscopy Institute of Structural Chemistry Chemical Research Center of the Hungarian Academy of Sciences H-1025-Budapest Pusztaszeri str. 59-67.

  2. Chemical Research Center of HAS Department of Molecular Spectroscopy • Laboratories: • Infrared and Raman Spectroscopic Lab. • ESR Spectroscopic Lab. • NMR Spectroscopic Lab. • Laser Spectroscopic Lab. • Professors: • László Biczók • Gábor Keresztury • János Mink • Lászó Nemes • Antal Rockenbauer • Tamás Vidóczy • 28 – 16 young scientists / PhD students

  3. University of Pannonia (Veszprém) • Research group: 5 (4) PhD / young scientists • PhD School: Material Science and Technology

  4. Infrared and Raman Laboratory Budapest: • 2 FT-Raman systems • FTIR Microscope with FPA detector (micro ATR) • FTIR Microscope • 2 FTIR spectrometer (ATR) • FTIR emission system • FTIR-GC system Veszprém: • FTIR research grade • 2 FTIR routine • Far-IR system • Open-path FTIR S 13 spectrometer

  5. Extended Collaborations • Surface study:ATR; IRRAS; DRIFTS; EMISSION; LB-films; coatings; polymer surfaces;dispersed catalysts; archeological samples • Analytical studies:HPLC-FTIR; GC-FTIR;TLC-Raman • Environmental studies:atmospheric pollutants; aerosol-microscopy • Theoretical studies:DFT; ab initio; Chemometrsics; etc. • Medical applications:human hair and skin

  6. One fingerprint Four fingerprints

  7. Discovery of the spectral effects Hair: • Narcotics in hair • Effects of bleaching • Effects of UV-radiation Skin: • Moisture content • Lipid content • Effects of cosmetics (Literature) Unexpected spectral differences

  8. Spectral parameters • Band position • Band intensities • Band widths • Spectral subtraction • First derivative • Second derivative • Band deconvolution

  9. Statistical data processing • artificial neural network (ANN), • principal component analysis (PCA) and factor analysis (FA), • principal component regression (PCR), • partial minimum squares (PMS), • Cluster analysis (CA), • generic algorithms (GA).

  10. SKIN

  11. Difference IR spectrum of two healthy patients is very small

  12. Spectral deviations between “healthy” and “ill” patients, exhibiting different RIAR values

  13. RIAR - Relative Infrared Analytical Risk

  14. Deviation of a healthy patient’s spectra from the averaged spectra of healthy patients (minimum 20-40 persons) RIAR – Relative Infrared Analytical Risk

  15. Process of recovery monitored by infrared spectra of the skin belonging to a patient suffering in pancreas cancer. Green line is the limit value of healthy patients

  16. Distribution between different types of diseases of 820 “ill” patients measured by FTIR spectra of their skin

  17. Results of measurements for 380 patients declaring themselves as healthy in accordance of their genial state of health

  18. Results of 39 diabetic patients and 59 healthy persons analyzed by Principal Component Analysis (PCA)

  19. HAIR Infrared spectra of untreated (lower trace) and bleached (upper trace) female hair sample. The difference spectrum is given below (dashed line, with 5x ordinate expansion)

  20. Comparison of human hair infrared spectra of a healthy (lower trace, full line) and a breast cancer patient (upper trace, dashed line)

  21. Difference spectrum of healthy and breast cancer patient’s hair samples

  22. Plot of PCA scores for infrared spectra of hair samples ◊-Healthy female scores (negative), □-healthy male scores (positive), ○-breast cancer patients’ scores

  23. Partners • Stockholm University (Electron Microscopy) • Institute für Innovative Diagnostik (Ulm) • Municipal Clinic (XVI District, Budapest) • LaborTrading Ltd./Varian (Instrumentation)

  24. SUMMARY OF THE RESULTS

  25. B Transmission FT-IR imaging of human hair Cuticle Cortex Medulla A Images based on the absorption of the CH stretching band (collagen) (A), the Amide I band (protein) (B), of hair

  26. ADVANTAGES • Detection (health condition) • Prevention (early diagnosis) • Monitoring • Diagnosis (under investigation)

  27. CHALLANGING • Simple methods • Quick measurement (hair: ~1 min, skin: ~ ½ min) • Not invasive and painless • Relative cheap • Screening test in mass measures • Patients showed very positive attitudes

  28. PhD students and young co-workers Viktória Komlósi Éva Pfeifer László Kocsis László Hajba Bernadett Illés Veronika Gombás

  29. Co-workers Zsuzsanna Kovács Dr. Zoltán Bacsik Dr. Judith Mihály Katalin Módly Dr. Károly Héberger Csaba Németh Dr. Gábor Keresztury

  30. It was my great pleasure to be with you: Thanksfor Jenny, Carolyn, Jennifer, Kevin, Imre, Glenn, Chris, Mark, George, Baijn and Sam Special thanks for April H. Foley, Ambassador of United States

  31. Thanks for your kind attention!!!

More Related