Application of enhanced Raman scattering (SERS) and advanced statistical methods in veterinary diagnostics
- سال انتشار: 1403
- محل انتشار: دومین سمپوزیوم منطقه ای نوآوری در علم وفناوری
- کد COI اختصاصی: RESIST02_038
- زبان مقاله: انگلیسی
- تعداد مشاهده: 143
نویسندگان
Department of Clinical Sciences, Faculty of Veterinary Medicine, Shiraz University, Shiraz, Iran
Department of Clinical Sciences, Faculty of Veterinary Medicine, Shiraz University, Shiraz, Iran
Department of Clinical Sciences, Faculty of Veterinary Medicine, Shiraz University, Shiraz, Iran
Faculty of Science, Department of Physics, Shiraz University, Shiraz ۷۱۴۵۴, Iran
چکیده
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 methodsمقالات مرتبط جدید
اطلاعات بیشتر در مورد COI
COI مخفف عبارت CIVILICA Object Identifier به معنی شناسه سیویلیکا برای اسناد است. COI کدی است که مطابق محل انتشار، به مقالات کنفرانسها و ژورنالهای داخل کشور به هنگام نمایه سازی بر روی پایگاه استنادی سیویلیکا اختصاص می یابد.
کد COI به مفهوم کد ملی اسناد نمایه شده در سیویلیکا است و کدی یکتا و ثابت است و به همین دلیل همواره قابلیت استناد و پیگیری دارد.