Development of Multiple SERS Enhancement Technique for Keratitis Bacteria Detection

• Main Authors: WU, JIAN-RONG, 吳建融
• Other Authors: LIN, CHI-CHANG
• Format: Others
• Language: zh-TW
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/8ssmc8

碩士 === 東海大學 === 化學工程與材料工程學系 === 107 === In the recent years, number of ophthamology disorders and diseases are increased clinically which strong correlation to the usage of electronic 3C devices. Contact lenses, another important risk, provides not only eyepower correction ability but also acts as cosmetic products. However, contact lens wearing can cause a variety of problems ranging from mild to severe such as dry eyes, allergic eye disease, distortion of the cornea, blood vessels growing in the cornea due to a lack of oxygen, scratches or abrasions on the cornea, and cornea infection which can lead to blindness if the infection is severe. The goal for this thesis was to prepare nano-scale metallic materias for rapid and high sensitivitybacteris Raman and surface enhanced Raman spectroscopy (SERS) ananlysis. The specific bacteria Raman and SERS fingerprints were further classified under principle components analysis (PCA) which performed bacteria groupping ability and can be applied for further clinical applications. This study included fourparts: 1. Preperation of silver nanoparticles decorated SERS Filter membranes were used for bacteria SERS fingerprint measurement and the filtration and concentration functions were also studied. 2. SERS measurement and analysis of clinical isolated bacteria were performed and compared with standard strans. PCA was performed for rapid classification and characterization of bacteria between strains and specises. 3. Gold nanoparticles (AuNPs) was synthsized for direct contect with target bacteria in three dimention. Chemical analyte was performed to stufy signal enhancement ability of nanoparticles prior to bacteria measurement. Size and morphology of particles were discussed. 4. Double enhancement were performed by intergration of metallic nanoparticles (AuNPs) and SERS substrate. Low concentration samples were be tested for understand the concentration ability of prepared SERS Filter. This thesis presented a rapid, high sensitive and specificity tool based on double enhancement SERS technique for low concentration bacteria SERS measurement by combination of AuNPs and SERS Filter. PCA analysis results showed clinical isolated bacteria from keratitis specements can be classified succefully under strains level. The method reported here not only for clinical microorganism screening, but also can be applied for environments and food safety monitoing.