Optical micro resonance based sensor schemes for detection and identification of nano particles and biological agents in situ
Optical micro resonance based sensor schemes for detection and identification of nano particles and biological agents in situ
复制标题
基于光学微共振的传感器方案,用于原位检测和识别纳米颗粒和生物制剂
DOI:
10.1117/12.853691
复制
发表时间:
2010
影响因子:
0.7
通讯作者:
A. Ostendorf
中科院分区:
文献类型:
--
作者:
V. Saetchnikov;E. Tcherniavskaia;G. Schweiger;A. Ostendorf
A novel emerging technique for the label-free analysis of nano particles including biomolecules using optical micro cavity resonance is being developed. Various schemes based on a mechanically fixed microspheres as well as microspheres melted by laser on the tip of a standard single mode fiber have been investigated to make further development for microbial application. Water solutions of ethanol, HCl, glucose, vitamin C and biotin have been used to test refractive index changes by monitoring the magnitude of the whispering gallery modes spectral shift. Particular efforts were made for effective fixing of the micro spheres in the water flow, an optimal geometry for micro resonance observation and material of microsphere the most appropriate for microbial application. Optical resonance in free micro spheres from PMMA fixed in micro channels produced by photolithography has been observed under the laser power of less then 1 microwatt. Resonance shifts of C reactive protein water solutions as well as albumin solutions in pure water and with HCl modelling blood have been investigated. Introducing controlled amount of glass gel nano particles into sensor microsphere surrounding were accompanied by both correlative resonance shift (400 nm in diameter) and total reconstruct of resonance spectra (57 nm in diameter). Developed schemes have been demonstrated to be a promising technology platform for sensitive, lab-on-chip type sensor of diagnostic tools for different biological molecules, e.g. proteins, oligonucleotides, oligosaccharides, lipids, small molecules, viral particles, cells as well as in different experimental contexts e.g. proteomics, genomics, drug discovery, and membrane studies.
影响因子:
3.8
作者:
White, Ian M.;Fan, Xudong
通讯作者:
Fan, Xudong
影响因子:
4
作者:
Pang, Shuo;Beckham, Richard E.;Meissner, Kenith E.
通讯作者:
Meissner, Kenith E.