The ultratrace detection of crystal violet using surface enhanced Raman scattering on colloidal Ag nanoparticles prepared by electrolysis

Ren Ming Liu Yi Pu Kang Xing Fa Zi Ming Jun Feng Man Cheng Min Zhen Si

引用本文: Ren Ming Liu,  Yi Pu Kang,  Xing Fa Zi,  Ming Jun Feng,  Man Cheng,  Min Zhen Si. The ultratrace detection of crystal violet using surface enhanced Raman scattering on colloidal Ag nanoparticles prepared by electrolysis[J]. Chinese Chemical Letters, 2009, 20(6): 711-715. doi: 10.1016/j.cclet.2009.02.001 shu
Citation:  Ren Ming Liu,  Yi Pu Kang,  Xing Fa Zi,  Ming Jun Feng,  Man Cheng,  Min Zhen Si. The ultratrace detection of crystal violet using surface enhanced Raman scattering on colloidal Ag nanoparticles prepared by electrolysis[J]. Chinese Chemical Letters, 2009, 20(6): 711-715. doi: 10.1016/j.cclet.2009.02.001 shu

The ultratrace detection of crystal violet using surface enhanced Raman scattering on colloidal Ag nanoparticles prepared by electrolysis

  • 基金项目:

    This work was supported by the National Natural Science Foundation of China (No.10864001) and the Foundation of Science and Technology Department of Yunnan province (No.2005PY01-51).

摘要: Highly active, stable and affordable surface enhanced Raman scattering (SERS) substrates were obtained by electrolyzing a mixture of AgNO3(4×10-4 mol/L) and Na3C6H5O7·H2O (6×10-5 mol/L) for 1, 2, 3 and 4 h at 7 V.With crystal violet (CV) as a test molecule, a portable Raman spectrometer with 785 nm laser excitation was employed to carry out the SERS detection. Colloidal Ag nanoparticles prepared by electrolyzing for 3 h with the particle size of (65±17) nm is a perfect SERS substrate for the ultratrace detection of CV, which displayed an enhancement factor of ca. 1.3×108 and the detection limit of CV is down to ca.10-15 mol/L (ca. 10-4 ppb) with 10-1 mol/L KBr as aggregating agent. Thus, this SERS substrate will provide a hopeful foreground in ultratrace detection. Meanwhile, it will provide a possibility to bring Raman analysis out of the laboratory to process in situ, real-time detection and identification.

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  • 收稿日期:  2008-10-27
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