Fabrication and characterization of innovative bottom up plasmonic nanostructures The present thesis introduces the research of various fabrication strategies of bottom up plasmonic nanostructures for the bio analytical application. First a novel label free P. ramorum detection platform was realized employing SERS. This invasive plant pathogen was successfully detected and the entire analysis chain including sample preparation DNA isolation amplification and hybridization on SERS active silver substrate immobilized adenine free capture probes is introduced in the thesis. Later the above introduced silver plasmonic arrays so called EGNPs were coated with the dielectric material Al2O3 using atomic layer deposition (ALD). These procedure increased their sensitivity specificity and shelf life. Second hierarchically designed 3D flower like hybrid nanostructures were developed by combining the metastable property of EGNPs substrates with plasma enhanced atomic layer deposition (PE ALD). The resulting ultra stable nanostructures were established as an efficient SERS template substrate. Finally an alternative silver nanoparticle synthesizing method using microwave radiation was proposed. This employs as a reliable rapid simple reproducible and environmental friendly bottom up fabrication strategy. The approach was implemented to the glass capillaries. An ultra sensitive and high reproducible novel SERS based capillary platform was developed and applied for the trace detection of THC. For this purpose not only the physical material and optical properties of these developed nanostructures were characterized but also their SERS efficiency was studied in detail. The developed novel SERS active nanostructures show improved SERS performance in terms of high SERS reproducibility surface uniformity easy synthesis cost effectiveness easy handling and high signal to noise ratio. Finally the great potential of those novel SERS active substrates in the field of biochemical and trace detection of an illegal drug were highlighted.