1 research outputs found
Optimal Hotspots of Dynamic Surfaced-Enhanced Raman Spectroscopy for Drugs Quantitative Detection
Surface-enhanced
Raman spectroscopy (SERS) as a powerful qualitative
analysis method has been widely applied in many fields. However, SERS
for quantitative analysis still suffers from several challenges partially
because of the absence of stable and credible analytical strategy.
Here, we demonstrate that the optimal hotspots created from dynamic
surfaced-enhanced Raman spectroscopy (D-SERS) can be used for quantitative
SERS measurements. In situ small-angle X-ray scattering was carried
out to in situ real-time monitor the formation of the optimal hotspots,
where the optimal hotspots with the most efficient hotspots were generated
during the monodisperse Au-sol evaporating process. Importantly, the
natural evaporation of Au-sol avoids the nanoparticles instability
of salt-induced, and formation of ordered three-dimensional hotspots
allows SERS detection with excellent reproducibility. Considering
SERS signal variability in the D-SERS process, 4-mercaptopyridine
(4-mpy) acted as internal standard to validly correct and improve
stability as well as reduce fluctuation of signals. The strongest
SERS spectra at the optimal hotspots of D-SERS have been extracted
to statistics analysis. By using the SERS signal of 4-mpy as a stable
internal calibration standard, the relative SERS intensity of target
molecules demonstrated a linear response versus the negative logarithm
of concentrations at the point of strongest SERS signals, which illustrates
the great potential for quantitative analysis. The public drugs 3,4-methylenedioxymethamphetamine
and α-methyltryptamine hydrochloride obtained precise analysis
with internal standard D-SERS strategy. As a consequence, one has
reason to believe our approach is promising to challenge quantitative
problems in conventional SERS analysis