Regional Symposium on Innovation in science and technology

فارسی

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Application of enhanced Raman scattering (SERS) and advanced statistical methods in veterinary diagnostics

Authors :

Tina Yaghoobpour¹ Hassan Sharifiyazdi² Ehsan Rakhshandehroo³ Amin Safaie⁴

1- Department of Clinical Sciences, Faculty of Veterinary Medicine, Shiraz University, Shiraz, Iran 2- Department of Clinical Sciences, Faculty of Veterinary Medicine, Shiraz University, Shiraz, Iran 3- Department of Clinical Sciences, Faculty of Veterinary Medicine, Shiraz University, Shiraz, Iran 4- Faculty of Science, Department of Physics, Shiraz University, Shiraz 71454, Iran

Keywords :

Application،enhanced Raman scattering،statistical methods،veterinary diagnostics

Abstract :

Raman spectroscopy is a non-destructive analytical technique that reveals a substance’s molecular interactions, chemical structure, phase, polymorphism, and crystallinity. It operates on the principle of atomic vibrations interacting with the inelastic scattering of monochromatic light, typically generated by a laser. Although conventional Raman spectroscopy encounters challenges in detecting biological molecules such as DNA, RNA, and organisms—or even in tumor identification—Surface Enhanced Raman Scattering (SERS) has been developed to overcome these issues. SERS-based biosensors significantly enhance sensitivity and accuracy, allowing rapid analysis of complex biological samples.Advanced statistical techniques like Support Vector Machines (SVM), Linear Discriminant Analysis (LDA), and Principal Component Analysis (PCA) are essential for analyzing SERS data in biomolecular studies. The integration of these techniques with SERS can significantly improve the detection and identification capabilities in various fields, such as parasitology and veterinary diagnostics.