DocumentCode
1869906
Title
Highly sensitive sers Diagnosis for Bacteria by three dimensional Nano-Mushrooms and Nano-Stars-Array sandwiched on Bacterial Aggregation
Author
Chun-Wei Lee ; Jen-Kuei Wu ; Fan-Gang Tseng
Author_Institution
Dept. of Eng. & Syst. Sci., Nat. Tsing Hua Univ., Hsinchu, Taiwan
fYear
2015
fDate
18-22 Jan. 2015
Firstpage
223
Lastpage
225
Abstract
This paper reports a highly sensitive SERS Diagnosis system by incorporating three dimensional Nano-Mushrooms and Nano-Stars-Array sandwiched on Bacterial Aggregation. Through the action of ACEOF and nano-mushroom/bacteria/nano-stars-array self-aggregation process, the signal can be much enhanced by 5 orders of magnitude in 5 minutes. Detection limit can approach 1 bacterium/ml from the analysis result.
Keywords
aggregation; biomedical optical imaging; cellular biophysics; microorganisms; nanomedicine; surface enhanced Raman scattering; ACEOF; bacterial aggregation; detection limit; highly sensitive SERS diagnosis system; nanomushroom-bacteria-nnanostars-array; self-aggregation; three-dimensional nanomushrooms; Gold; Microorganisms; Nanoparticles; Photonics; Raman scattering; Substrates; Three-dimensional displays;
fLanguage
English
Publisher
ieee
Conference_Titel
Micro Electro Mechanical Systems (MEMS), 2015 28th IEEE International Conference on
Conference_Location
Estoril
Type
conf
DOI
10.1109/MEMSYS.2015.7050927
Filename
7050927
Link To Document