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 :
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