NEW APPLICATION OF INFRARED SPECTROSCOPY IN MEDICAL DIAGNOSIS

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-FTIRTLC-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 patients 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
patients 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
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
Thanks for Jenny, Carolyn, Jennifer, Kevin, Imre,
Glenn, Chris, Mark, George, Baijn and
Sam Special thanks for April H. Foley,
Ambassador of United States
31
(No Transcript)
32
Thanks for your kind attention!!!