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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.

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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.

chemical research center of has department of molecular spectroscopy
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
university of pannonia veszpr m
University of Pannonia (Veszprém)
  • Research group: 5 (4) PhD / young scientists
  • PhD School: Material Science and Technology
infrared and raman laboratory
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

extended collaborations
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
slide6

One fingerprint

Four fingerprints

discovery of the spectral effects
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

spectral parameters
Spectral parameters
  • Band position
  • Band intensities
  • Band widths
  • Spectral subtraction
  • First derivative
  • Second derivative
  • Band deconvolution
statistical data processing
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).
spectral dev i ations between healthy and ill patients exhibiting different riar values
Spectral deviations between “healthy” and “ill” patients, exhibiting different RIAR values
slide14

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

slide15

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

slide16
Distribution between different types of diseases of 820 “ill” patients measured by FTIR spectra of their skin
slide17
Results of measurements for 380 patients declaring themselves as healthy in accordance of their genial state of health
results of 39 diabetic patients and 59 healthy persons analyzed by principal component analysis pca
Results of 39 diabetic patients and 59 healthy persons analyzed by Principal Component Analysis (PCA)
slide19
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)

slide20
Comparison of human hair infrared spectra of a healthy (lower trace, full line) and a breast cancer patient (upper trace, dashed line)
plot of pca scores for infrared spectra of hair samples
Plot of PCA scores for infrared spectra of hair samples

◊-Healthy female scores (negative), □-healthy male scores (positive), ○-breast cancer patients’ scores

partners
Partners
  • Stockholm University (Electron Microscopy)
  • Institute für Innovative Diagnostik (Ulm)
  • Municipal Clinic (XVI District, Budapest)
  • LaborTrading Ltd./Varian (Instrumentation)
transmission ft ir imaging of human hair

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

advantages
ADVANTAGES
  • Detection (health condition)
  • Prevention (early diagnosis)
  • Monitoring
  • Diagnosis (under investigation)
challanging
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
phd students and young co workers
PhD students and young co-workers

Viktória Komlósi

Éva Pfeifer

László Kocsis

László Hajba

Bernadett Illés

Veronika Gombás

co workers
Co-workers

Zsuzsanna Kovács

Dr. Zoltán Bacsik

Dr. Judith Mihály

Katalin Módly

Dr. Károly Héberger

Csaba Németh

Dr. Gábor Keresztury

it was my great pleasure to be with you
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