Surface-enhanced Raman scattering
(SERS) is widely used for low-concentration
molecular detection; however, challenges related to detection uniformity
and repeatability are bottlenecks for practical application, especially
as regards ultrasensitive detection. Here, through the coupling of
bionics and fluid mechanics, a lotus-leaf effect and rose-petal effect
(LLE–RPE)-integrated superhydrophobic chip is facilely developed
using laser-induced graphene (LIG) fabricated on a polyimide film.
Dense and uniform aggregation of gold nanoparticles (AuNPs) in droplets
is realized through a constant contact angle (CCA) evaporation mode
in the dynamic enrichment process, facilitating reliable ultrasensitive
detection. The detection chip consists of two components: an LLE zone
containing an ethanol-treated LIG superhydrophobic surface with a
low-adhesive property, which functions as an AuNP-controllable aggregation
zone, and an RPE zone containing an as-fabricated LIG superhydrophobic
surface with water-solution pinning ability, which functions as a
droplet solvent evaporation and a AuNP blending zone. AuNPs realize
uniform aggregation during rolling on the LLE zone, and then get immobilized
on the RPE zone to complete evaporation of the solvent, followed by
Raman detection. Here, based on dense and uniform AuNP aggregation,
the detection system achieves high-efficiency (242 s/18 μL)
and ultralow-concentration (10–17 M) detection of
a target analyte (rhodamine 6G). The proposed system constitutes a
simple approach toward high-performance detection for chemical analysis,
environmental monitoring, biological analysis, and medical diagnosis.
In this article, the rising trajectories of oil droplets
near the
substrates of small channels in the laminar flow field were observed
using a high-speed camera. Chemical modifications were made on the
surfaces of the brass sheets to change the surface properties, and
the controllable regulation of the superoleophilic–superoleophobic
wettability gradient was achieved. The adhesion behaviors of the oil
droplets on surfaces with different wettabilities at different flow
velocities were observed as well. According to the adhesion behaviors
of oil droplets on surfaces with different wettabilities, a mathematical
model was established to analyze water film thinning and the adherence
of oil droplets on the wall in the laminar flow field. Then the quantitative
relationships among the adhesion times t
f of oil droplets on different wetting surfaces, oil and water properties,
and surface wettability were acquired.
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