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

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.

کلیدواژه ها:

Application ، enhanced Raman scattering ، veterinary diagnostics ، statistical methods