This
study
presents
a
new
method
for
detecting
hydrogen
cyanide
(HCN)
using
custom
quartz
tuning
fork
(QTF)
combined
with
dual-tube
acoustic
micro-resonator
(AmR)
improved
photoacoustic
gas
sensing.
The
AmR's
design
was
optimized
through
theoretical
simulations
and
experiments,
resulting
in
robust
on-beam
Quartz-Enhanced
Photoacoustic
Spectroscopy
(QEPAS)
setup.
An
Erbium-Doped
Fiber
Amplifier
(EDFA)
integrated
to
enhance
laser
power
by
286
times,
while
transformer-based
U-shaped
neural
network
served
as
machine
learning
filter
refine
signals
reduce
background
noise.
approach
achieved
low
HCN
detection
limit
of
0.89
parts
per
billion
(ppb)
rapid
1-second
response
time,
marking
significant
advancement
optical
Validation
tests
confirmed
the
system's
effectiveness
real-time,
high-sensitivity
environmental
monitoring
industrial
safety
applications,
showcasing
notable
improvements
QEPAS
technology
suggesting
further
potential
portable
systems.
This
study
presents
a
new
method
for
detecting
hydrogen
cyanide
(HCN)
using
custom
quartz
tuning
fork
(QTF)
combined
with
dual-tube
acoustic
micro-resonator
(AmR)
improved
photoacoustic
gas
sensing.
The
AmR's
design
was
optimized
through
theoretical
simulations
and
experiments,
resulting
in
robust
on-beam
Quartz-Enhanced
Photoacoustic
Spectroscopy
(QEPAS)
setup.
An
Erbium-Doped
Fiber
Amplifier
(EDFA)
integrated
to
enhance
laser
power
by
286
times,
while
transformer-based
U-shaped
neural
network
served
as
machine
learning
filter
refine
signals
reduce
background
noise.
approach
achieved
low
HCN
detection
limit
of
0.89
parts
per
billion
(ppb)
rapid
1-second
response
time,
marking
significant
advancement
optical
Validation
tests
confirmed
the
system's
effectiveness
real-time,
high-sensitivity
environmental
monitoring
industrial
safety
applications,
showcasing
notable
improvements
QEPAS
technology
suggesting
further
potential
portable
systems.