ConspectusSurface-enhanced Raman spectroscopy (SERS) fingerprinting
is highly
promising for identifying disease markers from complex mixtures of
clinical sample, which has the capability to take medical diagnoses
to the next level. Although vibrational frequency in Raman spectra
is unique for each biomolecule, which can be used as fingerprint identification,
it has not been considered to be used routinely for biosensing due
to the fact that the Raman signal is very weak. Contemporary SERS
has been demonstrated to be an excellent analytical tool for practical
label-free sensing applications due its ability to enhance Raman signals
by factors of up to 108–1014 orders of
magnitude. Although SERS was discovered more than 40 years ago, its
applications are still rare outside the spectroscopy community and
it is mainly due to the fact that how to control, manipulate and amplify
light on the “hot spots” near the metal surface is in
the infancy stage.In this Account, we describe our contribution
to develop nanoachitecture
based highly reproducible and ultrasensitive detection capability
SERS platform via low-cost synthetic routes. Using one-dimensional
(1D) carbon nanotube (CNT), two-dimensional (2D) graphene oxide (GO),
and zero-dimensional (0D) plasmonic nanoparticle, 0D to 3D SERS substrates
have been designed, which represent highly powerful platform for biological
diagnosis. We discuss the major design criteria we have used to develop
robust SERS substrate to possess high density “hot spots”
with very good reproducibility. SERS enhancement factor for 3D SERS
substrate is about 5 orders of magnitude higher than only plasmonic
nanoparticle and more than 9 orders of magnitude higher than 2D GO.
Theoretical finite-difference time-domain (FDTD) stimulation data
show that the electric field enhancement |E|2 can be more than 2 orders of magnitude in “hot spots”,
which suggests that SERS enhancement factors can be greater than 104 due to the formation of high density “hot spots”
in 3D substrate. Next, we discuss the utilization of nanoachitecture
based SERS substrate for ultrasensitive and selective diagnosis of
infectious disease organisms such as drug resistance bacteria and
mosquito-borne flavi-viruses that cause significant health problems
worldwide. SERS based “whole-organism fingerprints”
has been used to identify infectious disease organisms even when they
are so closely related that they are difficult to distinguish. The
detection capability can be as low as 10 CFU/mL for methicillin-resistant Staphylococcus aureus (MRSA) and 10 PFU/mL for Dengue virus
(DENV) and West Nile virus (WNV). After that, we introduce exciting
research findings by our group on the applications of nanoachitecture
based SERS substrate for the capture and fingerprint detection of
rotavirus from water and Alzheimer’s disease biomarkers from
whole blood sample. The SERS detection limit for β-amyloid (Aβ
proteins) and tau protein using 3D SERS platform is several orders
of magnitude higher than the currently used technology in clinics.
Finally, w...