As
one of the most effective surface-enhanced infrared absorption
(SEIRA) techniques, metal–insulator–metal structured
metamaterial perfect absorbers possess an ultrahigh sensitivity and
selectivity in molecular infrared fingerprint detection. However,
most of the localized electromagnetic fields (i.e., hotspots) are confined in the dielectric layer, hindering
the interaction between analytes and hotspots. By replacing the dielectric
layer with the nanofluidic channel, we develop a sapphire (Al2O3)-based mid-infrared (MIR) hybrid nanofluidic-SEIRA
(HN-SEIRA) platform for liquid sensors with the aid of a low-temperature
interfacial heterogeneous sapphire wafer direct bonding technique.
The robust atomic bonding interface is confirmed by transmission electron
microscope observation. We also establish a design methodology for
the HN-SEIRA sensor using coupled-mode theory to carry out the loss
engineering and experimentally validate its feasibility through the
accurate nanogap control. Thanks to the capillary force, liquid analytes
can be driven into sensing hotspots without external actuation systems.
Besides, we demonstrate an in situ real-time dynamic
monitoring process for the acetone molecular diffusion in deionized
water. A small concentration change of 0.29% is distinguished and
an ultrahigh sensitivity (0.8364 pmol–1 %) is achieved.
With the aid of IR fingerprint absorption, our HN-SEIRA platform brings
the selectivity of liquid molecules with similar refractive indexes.
It also resolves water absorption issues in traditional IR liquid
sensors thanks to the sub-nm long light path. Considering the wide
transparency window of Al2O3 in MIR (up to 5.2
μm), the HN-SEIRA platform covers more IR absorption range for
liquid sensing compared to fused glass commonly used in micro/nanofluidics.
Leveraging the aforementioned advantages, our work provides insights
into developing a MIR real-time liquid sensing platform with intrinsic
IR fingerprint selectivity, label-free ultrahigh sensitivity, and
ultralow analyte volume, demonstrating a way toward quantitative molecule
identification and dynamic analysis for the chemical and biological
reaction processes.