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Structural Biology 2018 & STD AIDS 2018
Journal of Genetics and Molecular Biology
|
Volume 2
S e p t e m b e r 0 3 - 0 4 , 2 0 1 8 | B a n g k o k , T h a i l a n d
allied
academies
STD-AIDS AND INFECTIOUS DISEASES
STRUCTURAL BIOLOGY AND PROTEOMICS
&
International Conference on
International Conference on
Joint Event on
Raju Botta, J Genet Mol Biol 2018, Volume 2
TUBERCULOSIS DETERMINATION
USING SURFACE ENHANCED RAMAN
SPECTROSCOPY AND CHEMOMETRIC
METHODS
Raju Botta
National Electronics and Computer Technology Center, Thailand
NSTDA, Thailand
R
ecently applications of Raman spectroscopy have been increased to
various fields, especially clinical diagnosis. Tuberculosis (TB) is one of the
leading causes of mortality in the world. WHO estimated that 10.4 M people
were detected as active TB and about 1.4 M people died in 2015. However,
propagation of TB can be prevented by early diagnosis and treatments.
Various methods have been used for diagnosis TB such as sputum smear
microscopy (SSM), culture method, chest radiography, tuberculin skin testing,
etc. The existing methods are poorly sensitive and time-consuming. So, there
is a need to develop a rapid and sensitive method to detect TB. Surface
enhanced Raman spectroscopy (SERS) is an alternative nondestructive
method in terms of its rapid and sensitivity. Herein, two groups of serum
protein samples, active TB (AT) and healthy control (HC) were selected for
SERS analysis and spectra were measured with 785 nm laser. The measured
spectra associated with vibrational modes of serum proteins. To analyze the
data various multivariate statistical methods such as principal component
analysis (PCA), support vector machine (SVM), decision tree (DT) and random
forest (RF) were developed and tested their ability to discriminate the HC and
AT samples. First two principal components (PC1, PC2) PCA scores showed
clusters of AT and HC separately. A blind test has been done to validate the
calibration model and test data currently falls under the same category.
Results demonstrate the distinction between HC and AT samples.
Raju Botta has received his PhD in Physics from the
University of Hyderabad, India in 2016. He is working
as Postdoctoral Researcher in Carbon-based Devic-
es and Nanoelectronics Laboratory (CNL), National
Electronics and Computer Technology Center (NECT-
EC), National Science and Technology Development
Agency (NSTDA), Thailand. His main research inter-
ests are surface-enhanced Raman scattering (SERS),
nanostructures fabrication, PVD techniques, sensing
application in biomedical, environmental, agriculture
and aquaculture.
raju.botta@nectec.or.thBIOGRAPHY