SIMCA ANALYSIS APPLICATIONS IN BIOMEDICAL AND FORENSIC SCIENCE

Year 2017, Volume: Volume 2 Issue: İssue 1 (1) - 2.İnternational Congress Of Forensic Toxicology, 104 - 104, 16.02.2017

Sherif Abbas Salih Emrı Feride Severcan

Abstract

The ability to
analyze body fluid traces is critical for determining the key details of a
crime. Now, a combination of advanced statistical methods such as SIMCA with
Fourier Transform Infrared (FTIR) spectroscopy shows potential for minimizing false
negatives and positives during samples classification. SIMCA is a statistical
method for supervised classification. In this approach Principal Component
Analysis (PCA) is run on the whole spectra dataset to identify the spectra
groups. The advantage of SIMCA is that the unknown spectrum is assigned to the
group which has high probability only. If the variance of a spectrum exceeds
the upper limit for all modeled of dataset, the spectra will not assign to any
of the groups because, it is either an outlier or comes from a class that is
not represented in the dataset. SIMCA also can work with few samples number in
each group which is an important consideration. We used FTIR coupled with SIMCA
analysis to examine the accumulated pleural fluid of benign transudate,
Malignant Pleural Mesothelioma (MPM) and lung cancer for their characterization
and diagnosis. SIMCA results revealed more than 90% sensitivity in
differentiation of MPM from the other groups. Overall, FTIR spectroscopy
coupled with SIMCA statistical analysis showed great potential for
nondestructive, objective and confirmatory identification of MPM from pleural
fluids. Similar to the identification of MPM from pleural fluids, SIMCA
analysis can be performed for any similar body fluids which demonstrates great potential for the
nondestructive and rapid confirmatory identification of body fluids at crime
scenes.

 

This work was
supported by the Health Sciences Research Group (SBAG) of the Scientific and
Technological Research Council of Turkey (TUBITAK) (Project No: 113S294).

Keywords

SIMCA ANALYSIS APPLICATIONS IN BIOMEDICAL AND FORENSIC SCIENCE

References

• Sherif ABBAS, Salih EMRI, Feride SEVERCAN
• Middle East Technical University, Department of Biological Sciences, 06800, Ankara, Turkey HacettepeUniversity, Department of Chest Diseases, 06100, Ankara, Turkey Ain Shams University, Physics Department, Cairo, Egypt