Reliable diagnosis
of disease using body fluids requires sensitive
and accurate detection of disease-specific analytes present in the
fluid. In recent years, there has been increasing interest in using
surface-enhanced Raman spectroscopy (SERS) for this purpose. The demonstrable
signal enhancement and sensitivity of SERS makes it ideally suited
for detection of a trace quantity of any analyte. However, lack of
reproducibility along with large spatial variability in the measured
Raman intensities due to differential (and often random) distribution
of surface “hot spots” limits its routine clinical use.
We propose here a technique, nanotrap-enhanced Raman spectroscopy
(NTERS), for overcoming these long-standing limitations and challenges
of SERS. In this technique, hot spots are formed by drying up a microvolume
drop of the liquid, containing the mixture of nanoparticles and analytes
in the focal volume of the Raman excitation laser, and the Raman signal
is detected from these spots containing the analytes localized within
the nanoparticle aggregates. The performance of the technique was
evaluated in detecting trace quantities of two Raman-active analytes,
Rhodamine 6G (R6G) and urea. It was found that R6G and urea could
be detected down to a concentration of 50 nM with signal-to-noise
ratio (SNR) value of ∼75 and 4 mM with SNR value of ∼500,
respectively. A comparison with SERS revealed that NTERS not only
had significantly superior (around 2 orders of magnitude) signal enhancement
but also had high reproducibility because of its intrinsic ability
to form nanoparticle aggregates with high repetitiveness. Another
advantage of NTERS is its simplicity and cost effectiveness as it
does not require any specialized substrate.