A Surface Enhanced Raman Scattering (SERS) microdroplet detector for trace levels of crystal violet

  • Bingxiang Liu
  • , Wei Jiang
  • , Haiting Wang
  • , Xiaohui Yang
  • , Sanjun Zhang
  • , Yufeng Yuan
  • , Ting Wu*
  • , Yiping Du
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

31 Scopus citations

Abstract

We report on a microfluidic platform that integrates a winding microdroplet chip and a surface-enhanced Raman scattering (SERS) detection system for trace determination of crystal violet (CV). Colloidal silver was applied to generate SERS. Compared to the continuous flow microfluidic system, the microdroplet based detection described here effectively eliminates any memory effects. Effects of flow pattern, droplet size, surfactant, and position of detection were optimized. Under optimal conditions, there is a linear correlation between signal and the concentration of CV in the 10 nM to 800 nM range, with a correlation coefficient (R2) of 0.9967. The limit of detection in water is 3.6 nM. [Figure not available: see fulltext.]

Original languageEnglish
Pages (from-to)997-1004
Number of pages8
JournalMicrochimica Acta
Volume180
Issue number11-12
DOIs
StatePublished - Aug 2013
Externally publishedYes

Keywords

  • Crystal violet (CV)
  • Micro total analysis system
  • Microdroplet
  • Surface-enhanced Raman scattering (SERS)

Fingerprint

Dive into the research topics of 'A Surface Enhanced Raman Scattering (SERS) microdroplet detector for trace levels of crystal violet'. Together they form a unique fingerprint.

Cite this