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Quantitative multiplexed simulated-cell identification by SERS in microfluidic devices.

M R Hoonejani1, A Pallaoro, G B Braun

  • 1Department of Mechanical Engineering, University of California, Santa Barbara, CA 93106, USA. meinhart@engineering.ucsb.edu.

Nanoscale
|September 26, 2015
PubMed
Summary
This summary is machine-generated.

This study introduces a novel multiplexed labeling strategy using surface-enhanced Raman spectroscopy (SERS) biotags for identifying multiple cell surface markers. This method enables precise cell identification for diagnostic and therapeutic applications.

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Area of Science:

  • Biotechnology
  • Analytical Chemistry
  • Spectroscopy

Background:

  • Accurate cell identification is crucial for diagnostics and therapeutics.
  • Current methods often rely on fluorescence, which can have limitations.
  • Multiplexed detection of surface markers is highly desirable.

Purpose of the Study:

  • To develop and demonstrate a multiplexed labeling and detection strategy for identifying multiple cell surface markers.
  • To utilize surface-enhanced Raman spectroscopy (SERS) biotags (SBTs) for this purpose.
  • To validate the strategy using microfluidics and advanced data analysis.

Main Methods:

  • Four populations of microparticles were labeled with distinct SERS biotags (SBTs) in varying concentrations.
  • Microfluidic devices were used to flow and analyze individual microparticles.
  • Surface-enhanced Raman spectroscopy (SERS) was employed for signal acquisition.
  • Principal Component Analysis (PCA) and Classical Least Squares (CLS) were used for data analysis.

Main Results:

  • SERS spectra successfully distinguished between the four microparticle populations.
  • PCA enabled confident separation of populations based on spectral data.
  • CLS accurately quantified the contribution of each SBT to the overall signal.
  • The quantified SBT contributions correlated well with the designed marker concentrations.

Conclusions:

  • The developed strategy demonstrates effective multiplexing capabilities using SERS biotags.
  • This approach shows promise for applications like immunophenotyping.
  • The findings support the use of SERS-based multiplexing for reliable cell identification.