Johannes Bürger1, Vera Schalles2,3, Jisoo Kim2,3, Bumjoon Jang2,3, Matthias Zeisberger2,3, Julian Gargiulo1, Leonardo de S Menezes1,4, Markus A Schmidt2,5,3, Stefan A Maier6,1,7. 1. Chair in Hybrid Nanosystems, Nanoinstitute Munich, Ludwig-Maximilians-Universität Munich, Königinstraße 10, 80539 Munich, Germany. 2. Leibniz Institute of Photonic Technology, Albert-Einstein-Str. 9, 07745 Jena, Germany. 3. Abbe Center of Photonics and Faculty of Physics, Friedrich-Schiller-Universität Jena, Max-Wien-Platz 1, 07743 Jena, Germany. 4. Departmento de Física, Universidade Federal de Pernambuco, 50670-901 Recife-PE Brazil. 5. Otto Schott Institute of Materials Research (OSIM), Friedrich-Schiller-Universität Jena, Fraunhoferstr. 6, 07743 Jena, Germany. 6. School of Physics and Astronomy, Monash University, Clayton, Victoria 3800, Australia. 7. The Blackett Laboratory, Department of Physics, Imperial College London, London SW7 2AZ, United Kingdom.
Abstract
Due to their unique capabilities, hollow-core waveguides are playing an increasingly important role, especially in meeting the growing demand for integrated and low-cost photonic devices and sensors. Here, we present the antiresonant hollow-core microgap waveguide as a platform for the on-chip investigation of light-gas interaction over centimeter-long distances. The design consists of hollow-core segments separated by gaps that allow external access to the core region, while samples with lengths up to 5 cm were realized on silicon chips through 3D-nanoprinting using two-photon absorption based direct laser writing. The agreement of mathematical models, numerical simulations and experiments illustrates the importance of the antiresonance effect in that context. Our study shows the modal loss, the effect of gap size and the spectral tuning potential, with highlights including extremely broadband transmission windows (>200 nm), very high contrast resonance (>60 dB), exceptionally high structural openness factor (18%) and spectral control by nanoprinting (control over dimensions with step sizes (i.e., increments) of 60 nm). The application potential was demonstrated in the context of laser scanning absorption spectroscopy of ammonia, showing diffusion speeds comparable to bulk diffusion and a low detection limit. Due to these unique properties, application of this platform can be anticipated in a variety of spectroscopy-related fields, including bioanalytics, environmental sciences, and life sciences.
Due to their unique capabilities, hollow-core waveguides are playing an increasingly important role, especially in meeting the growing demand for integrated and low-cost photonic devices and sensors. Here, we present the antiresonant hollow-core microgap waveguide as a platform for the on-chip investigation of light-gas interaction over centimeter-long distances. The design consists of hollow-core segments separated by gaps that allow external access to the core region, while samples with lengths up to 5 cm were realized on silicon chips through 3D-nanoprinting using two-photon absorption based direct laser writing. The agreement of mathematical models, numerical simulations and experiments illustrates the importance of the antiresonance effect in that context. Our study shows the modal loss, the effect of gap size and the spectral tuning potential, with highlights including extremely broadband transmission windows (>200 nm), very high contrast resonance (>60 dB), exceptionally high structural openness factor (18%) and spectral control by nanoprinting (control over dimensions with step sizes (i.e., increments) of 60 nm). The application potential was demonstrated in the context of laser scanning absorption spectroscopy of ammonia, showing diffusion speeds comparable to bulk diffusion and a low detection limit. Due to these unique properties, application of this platform can be anticipated in a variety of spectroscopy-related fields, including bioanalytics, environmental sciences, and life sciences.
Chip-integration of optical waveguides
plays a central role in
serving the growing demand for compact, cost-efficient, and mass producible
optical devices such as infrared and Raman spectrometers, integrated
quantum optical circuits, optofluidic setups, or point-of-care diagnostics.
Particularly, gas-based measurements like atmospheric monitoring,[1] breath analysis,[2] or
quantum optics with atomic vapors[3] are
currently of interest. While the integration of light sources[4−6] and spectrometers[7−9] has seen considerable progress in recent years, less
attention has been directed on the waveguide elements in between them.
Since the waveguide defines the interaction region between light and
analyte, it has a major influence on the properties of the resulting
device, like response times, detection limits, or decoherence times
of quantum states.Existing approaches typically suffer from
a trade-off between efficient
confinement of light to a narrow cross-section and unrestricted access
of the analyte to this region. At one end of the spectrum, there are
solid core waveguides with completely or partially exposed cores,
allowing them to respond immediately to changes in the surrounding
medium due to their evanescent fields.[10−12] However, light is guided
mostly inside the core, and only a small fraction of the field, the
evanescent waves, can be exploited for analyte interactions.[13−15]The other extreme is represented by hollow-core antiresonant
reflecting
optical waveguides (ARROWs), where both light and analyte are confined
to a hollow core by a sophisticated multilayer cladding.[16−18] This antiresonant approach, which is strongly used in the context
of microstructured optical fibers,[19,20] results in
nearly complete overlap between the central guided mode and the medium.
However, it comes at the cost of poor accessibility of the core volume
due to the capillary-type geometry, as complex cladding structures
need to be employed for light confinement.[21] In practice, the passive introduction of analytes into the micron-sized
core via diffusion from its end faces is impracticably slow, requiring
devices to actively pump the analyte through the waveguide, which
cannot be integrated straightforwardly.[22] Such filling times are particularly long for low-pressure atomic
vapors used in quantum optical experiments and can be on the order
of months for a waveguide length of a few centimeters.[3,23,24]In that context, intermediate
solutions in between these two extreme
cases have been reported: For instance, single-[25,26] and multislotted waveguides[27] have been
developed, where two or more subwavelength-sized solid cores in close
proximity provide a larger evanescent field region, thereby increasing
the volume of light matter interaction. However, a non-negligible
fraction of the field remains inside the waveguide’s material,
which is an inherent problem to solid core guidance. Since the extent
of the evanescent field of such waveguides is wavelength-dependent,
complex modal calculations that precisely consider the waveguide geometry
are required to modify Lambert–Beer’s law for quantitative
sensing applications.[28]On the other
hand, techniques have been developed to increase the
sidewise accessibility, that is, “openness” of hollow-core
waveguides, by introducing lateral holes into their cladding, including
femtosecond laser drilling,[29−31] application of heat and pressure,[32] and etching.[33,34] Although such
perforated hollow-core waveguides feature orders of magnitude lower
analyte exchange times, the inserted holes increase the propagation
loss, require an additional lengthy postprocessing step, and can lead
to variations between different waveguide batches.Recently,
we showed that additive waveguide fabrication via 3D-nanoprinting
using two-photon absorption based direct laser writing (in the text
abbreviated as 3D-nanoprinting) of polymeric photoresists can circumvent
these issues, realizing hollow-core light cage waveguides with large
structural openness while maintaining low propagation loss.[35] Building on this work, we present a novel type
of on-chip waveguide that can achieve both a strong light–analyte
interaction and fast response times, without requiring advanced multistep
fabrication techniques. Our design features two elements that alternate
on the micrometer scale, as shown in Figure : (1) a square-shaped hollow waveguide segment
responsible for confining light via the antiresonance effect and (2)
an open gap region allowing fast and straightforward access to the
core. The microgap waveguides were successfully implemented up to
several cm lengths by 3D-nanoprinting, principally allowing flexible
interfacing to other photonic components and low-cost fabrication.
All relevant details from the optics perspective, such as propagation
loss, tunability of the resonances, and influence of the gaps on transmission,
are experimentally revealed and simulated. Furthermore, we developed
two analytical models for light guidance in square-core antiresonant
waveguides that correctly describe the experimental behavior. To demonstrate
the sensing capabilities, tunable diode laser absorption spectroscopy
of ammonia gas was performed.
Figure 1
On-chip hollow-core microgap waveguide. (a)
Illustration of the
waveguides fabricated via 3D-nanoprinting (two-photon absorption based
direct laser writing), including the main parameters (gap size G, segment length L, wall thickness W, and core size D. Inset: Square-shaped
cross-section. (b–d) Scanning electron microscope (SEM) images
of a fabricated structure showing an overview (b), the cross-section
(c), and the gap between adjacent elements (d). Note that the dimensions
in (b) and (d) are affected by the tilt of the chip during SEM imaging.
Insets in (b): Photographic image of a 5 cm long microgap waveguide
nanoprinted onto a silicon chip; CCD image of the core mode. (e) Transmission
microscopy image of three waveguides (top view).
On-chip hollow-core microgap waveguide. (a)
Illustration of the
waveguides fabricated via 3D-nanoprinting (two-photon absorption based
direct laser writing), including the main parameters (gap size G, segment length L, wall thickness W, and core size D. Inset: Square-shaped
cross-section. (b–d) Scanning electron microscope (SEM) images
of a fabricated structure showing an overview (b), the cross-section
(c), and the gap between adjacent elements (d). Note that the dimensions
in (b) and (d) are affected by the tilt of the chip during SEM imaging.
Insets in (b): Photographic image of a 5 cm long microgap waveguide
nanoprinted onto a silicon chip; CCD image of the core mode. (e) Transmission
microscopy image of three waveguides (top view).
Results
Light Guidance in Hollow Square-Shaped Core Waveguides
The light confining segment of our microgap waveguides consists of
a hollow square-shaped core with edge length D, surrounded
by a polymer wall of thickness W and refractive index n (inset of Figure a). In the following, we describe
the optical properties of this segment using finite-element simulations
and develop two analytical models under the simplification that the
waveguide is uniform along its axial dimension, that is, neglecting
the gaps.The simulations reveal broad spectral bands of high
transmission, which are delimited by sharp resonances with orders
of magnitude higher loss (Figure b). For practical applications, the waveguide will
be operated in the off-resonance domains, in which losses of about
0.01 dB/mm for visible light are theoretically achievable (D = 20 μm, W = 1 μm). Simulations
of the shape of the fundamental mode show that in these low-loss regions
the mode has a square-shaped symmetry and most of the optical power
is located inside the core (Figure d, image B). Only a small fraction of the power of
well below 10–3 remains inside the polymer wall
(Figure c), similar
to the previously investigated light cage geometry.[36] Closer to the resonance, the mode spreads out along the
polarization direction, transforming to an elliptical shape (Figure d, image A). This
asymmetric shape arises due to the polarization dependence of the
reflections on the confining walls.
Figure 2
Optical properties of microgap waveguides
(theory). (a, b) Spectral
distribution of the real part of the effective index (i.e., phase
index np) and the attenuation of the fundamental
core mode (red: 2D Finite-Element simulation of a rounded cross-section
of the waveguide; green: Fabry–Pérot model; blue: leaky
slab waveguide model). The vertical black dashed lines in (a) denote
the position of the cladding resonances (eq ). All calculations include the material dispersion
of the polymer. (c) Median-filtered spectral distribution of the optical
power located in the polymer walls normalized to the total power of
the mode integrated over the complete simulation region (square with
length of 34 μm). (d) Simulated Poynting vector distribution
of the core mode at the wavelengths indicated in a/b by the red stars
(A: Close to resonance; B: Off-resonance; C: Azimuthal subresonance).
Red arrow denotes the polarization of the propagating mode. The calculations
were performed for D = 20 μm and W = 1 μm.
Optical properties of microgap waveguides
(theory). (a, b) Spectral
distribution of the real part of the effective index (i.e., phase
index np) and the attenuation of the fundamental
core mode (red: 2D Finite-Element simulation of a rounded cross-section
of the waveguide; green: Fabry–Pérot model; blue: leaky
slab waveguide model). The vertical black dashed lines in (a) denote
the position of the cladding resonances (eq ). All calculations include the material dispersion
of the polymer. (c) Median-filtered spectral distribution of the optical
power located in the polymer walls normalized to the total power of
the mode integrated over the complete simulation region (square with
length of 34 μm). (d) Simulated Poynting vector distribution
of the core mode at the wavelengths indicated in a/b by the red stars
(A: Close to resonance; B: Off-resonance; C: Azimuthal subresonance).
Red arrow denotes the polarization of the propagating mode. The calculations
were performed for D = 20 μm and W = 1 μm.The first analytical model, the leaky slab waveguide
model, shows
that the mechanism of light guidance in microgap waveguides is based
on the antiresonance effect:[37,38] Typically cladding
modes and core mode phase-match at certain wavelengths (vertical dashed
black lines in Figure a), leading to large propagation losses due to the removal of power
from the core mode. Away from the resonances the wave vector mismatch
grows, and low-loss transmission bands occur. Although the losses
can be made arbitrarily small, for example, by choosing larger core
dimensions,[37] antiresonantly confined modes
always dissipate energy during propagation and are therefore referred
to as tunneling leaky modes or leaky modes.[39] Such leaky modes are common to many waveguides where light is not
guided via total internal reflection, such as ARROWs,[16] hollow-core photonic-crystal fibers,[40,41] or revolver hollow-core fibers.[42]The leaky slab waveguide model describes the cladding as an infinitely
extended flat polymer slab acting as a Fabry–Pérot cavity
onto which rays of light from the core mode impinge under a fixed
angle (details can be found in the Supporting Information in Section 3.1). For a square-shaped cross-section,
both TE- and TM-polarized reflections need to be taken into account
in order to correctly resemble the fundamental core mode.[37] Thereby the model takes into account the finite
reflectivity of the polymer slab, yielding closed-form expressions
for the dispersion (i.e., phase index np) and the propagation loss of the fundamental core mode (expressions
can be found in the Supporting Information in Section 3.1). In particular, the model shows that the spectral
positions of the resonances solely depend on the thickness of the
wall W for a given refractive index n of the polymer:where m is the order of the
resonance, which is equal to the number of field oscillations in the
polymer layer. The Fabry–Pérot model accurately predicts
the spectral properties of the core mode compared with a full numerical
simulation, with small deviations occurring toward longer wavelengths
(Figure a,b).As a separate step, we investigated a model that describes the
square core as an independent superposition of two infinitely extended
slab waveguides[43] (details can be found
in the Supporting Information in Section 3.2) facing each other. Here, the effective indices of the fundamental
TE and TM modes of a single slab waveguide were calculated numerically
by solving Maxwell’s equations with suitable boundary conditions.
These were then combined to obtain the complex effective index neff of the square waveguide while neglecting
the fields in the corners (Figure S5).
Note that this approximation is particularly valid in situations where
the core extent is substantially larger than the wavelength λ
as for the microgap waveguide investigated here. Furthermore, preliminary
simulations show that the exact shape of the corners is irrelevant,
both for the position of the resonances and the off-resonance loss
(Figure S1). The results of this model
(blue lines in Figure a,b) yield virtually complete overlap with the full electromagnetic
simulation (red lines).None of the models account for azimuthal
resonances (Figure d, image C), visible through
field oscillations along the long axis of the rectangular cladding
elements, which has a length of D + 2W. The spectral positions of these azimuthal resonances highly depend
on the shape of the corners, where the approximation of having two
independent slab waveguides breaks down (Figure S1). As shown in ref (44), these azimuthal resonances do not notably impact the modal
characteristics and thus can be neglected for the microgap waveguide.
Design and Implementation of Microgap Waveguides via 3D-Nanoprinting
The microgap waveguides were fabricated directly on silicon chips
in a single pass of 3D-nanoprinting using liquid IP-Dip photoresist
(see Materials and Methods). As shown in Figure a, their design is
based on a segmentation approach, where square-shaped hollow waveguide
sections alternate with gap regions on the micrometer scale. The entire
waveguide is supported from below by a chain of supporting blocks,
which makes light guidance independent of potentially rough or tilted
substrate surfaces. This design allows quick and reproducible fabrication,
with a typical manufacturing time of 10 min per millimeter waveguide
length. SEM and transmission microscopy images of the resulting waveguides
are shown in Figure b–e. We verified the degree of reproducibility of the printing
method for a different waveguide geometry, the light cage, showing
low chip-to-chip variations of the printed dimensions of about 15
nm.[45] This was done by determining the
strand diameter of light cages located on different chips from optical
transmission measurements using a well-established formula that relates
the resonance wavelengths to the strand diameter (related to the cutoff
wavelengths of LP modes of isolated polymer strands).[35] An overview of fabrication inaccuracies and their impact
on the waveguide properties can be found in Table . Combined with the accessibility of all
three spatial dimensions offered by 3D-nanoprinting, the parameters
of microgap waveguides can be straightforwardly adapted to the requirements
of a certain application. This flexibility is used here to investigate
the impact of changing wall thickness W (600 nm to
2 μm), core size D (10–20 μm),
gap length G (2–40 μm), and segment
length L (45 μm to 1 mm). The maximum waveguide
length reached is 5 cm (see inset image in Figure b). If not stated otherwise, a sample length
of 5 mm was used for the optical experiments.
Table 1
Overview of the Different Types of
Fabrication Inaccuracies
type of inaccuracy
effect
magnitude
surface roughness (constant average
wall thickness)
broadening of resonances, increased
loss
not studied rigorously in this work, 30–40
nm reported
in other works[67,76]
wall
thickness differences within structure (e.g., different
thickness of left and right wall)
splitting of resonances
50 nmthis work
batch-to-batch
(chip-to-chip) variations (different average
thickness of the wall for different batches)
shifting
of resonances
15 nm reported for light cages[45]
In order to quantify the amount of open space for
side-wise accessing
the core, we calculated the structural openness factor (SOF) for all
fabricated devices. The SOF is defined here as the fraction of the
surface area of the waveguide that is open to the environment[35] which in this case is given by SOF = G/(L + G). Fully functional
samples with SOFs ranging from 0.2% to 18% were fabricated.
Optical Characterization of Transmission Loss, Resonance Tunability,
and Gaps
The fabricated waveguides were characterized optically
by measuring their transmission spectrum and mode profile. To this
end, the samples were inserted into a transmission setup consisting
of a horizontally polarized broadband white light source and a spectrometer.
In- and outcoupling to the waveguide chip was achieved by two microscope
objectives (details in Materials and Methods).All investigated samples show a core mode formation from
the blue to the near-infrared, matching the shape predicted by the
numerical simulations (Figure c). The recorded spectra show bands with high transmission
delimited by resonance dips, reaching contrasts of more than 60 dB
for the sample with a 5 cm length. Repeatability of the fabrication
is high, as indicated by the light-colored lines in Figures and 4 that represent transmission spectra of copies of the waveguide located
on the same chip.
Figure 3
Optical properties of microgap waveguides (experiment).
(a) Transmission
spectra of waveguide samples (G = 2 μm, L = 176 μm, D = 20 μm, W = 1.55 μm) with different total lengths (red, 0.5
cm; orange, 1.5 cm; green, 3 cm; blue, 5 cm). Vertical dashed lines:
Theoretical resonance wavelengths of order m obtained
from the Fabry–Pérot model. Bottom plot: Spectral distribution
of the modal attenuation. Values of copies of a certain structure
are shown as curves with lower degree of color saturation. (b) Measured
dependence of resonance wavelengths (circles) on wall thickness. Lines
show the relation expected from the Fabry–Pérot model.
Gray curves show transmission spectra for the lowest (W = 601 nm) and largest (W = 2085 nm) investigated
wall widths. (c) Measured mode profiles at selected wavelengths indicated
by red circles in (a). Modes between 420 and 710 nm are represented
by their true colors, as measured by the camera. Scale bars have a
length of 10 μm.
Figure 4
Gap dependence of waveguide transmission. (a) Curves in
color show
the transmission spectra of samples with different sizes G (5 μm–40 μm) and numbers N (160–20)
of gaps such that the total length covered by gaps (N·G) is constant, thus fixing the structural
openness factor (SOF) to 18%. The gray curve always corresponds to
a reference sample with SOF = 1% and otherwise identical properties
(D = 20 μm, W = 1.75 μm).
Values of replicas of a certain structure are shown as curves with
lower degree of color saturation. Insets: Transmission microscopy
images showing the different gap distributions (scale bar 100 μm).
(b) Loss per gap averaged over the wavelength regions of the five
transmission bands shown in (a). Each band is labeled by its center
wavelength.
Optical properties of microgap waveguides (experiment).
(a) Transmission
spectra of waveguide samples (G = 2 μm, L = 176 μm, D = 20 μm, W = 1.55 μm) with different total lengths (red, 0.5
cm; orange, 1.5 cm; green, 3 cm; blue, 5 cm). Vertical dashed lines:
Theoretical resonance wavelengths of order m obtained
from the Fabry–Pérot model. Bottom plot: Spectral distribution
of the modal attenuation. Values of copies of a certain structure
are shown as curves with lower degree of color saturation. (b) Measured
dependence of resonance wavelengths (circles) on wall thickness. Lines
show the relation expected from the Fabry–Pérot model.
Gray curves show transmission spectra for the lowest (W = 601 nm) and largest (W = 2085 nm) investigated
wall widths. (c) Measured mode profiles at selected wavelengths indicated
by red circles in (a). Modes between 420 and 710 nm are represented
by their true colors, as measured by the camera. Scale bars have a
length of 10 μm.Gap dependence of waveguide transmission. (a) Curves in
color show
the transmission spectra of samples with different sizes G (5 μm–40 μm) and numbers N (160–20)
of gaps such that the total length covered by gaps (N·G) is constant, thus fixing the structural
openness factor (SOF) to 18%. The gray curve always corresponds to
a reference sample with SOF = 1% and otherwise identical properties
(D = 20 μm, W = 1.75 μm).
Values of replicas of a certain structure are shown as curves with
lower degree of color saturation. Insets: Transmission microscopy
images showing the different gap distributions (scale bar 100 μm).
(b) Loss per gap averaged over the wavelength regions of the five
transmission bands shown in (a). Each band is labeled by its center
wavelength.Based on the idea of the cut-back method, we determined
the propagation
loss of samples with a core size of D = 20 μm
and SOF of 1% (L = 176 μm, G = 2 μm) by measuring the transmission spectrum of samples
with different length ranging from 0.5 to 5 cm (Figure a). The obtained modal attenuation within
the transmission bands in the visible is 0.38–0.72 dB/mm, increasing
to 1.25 dB/mm in the IR (1400 nm) for this specific core size and
gap length.According to eq ,
the resonance wavelengths can be tuned by varying the thickness of
the polymer walls W. This relationship was experimentally
verified by changing the thicknesses of the vertical walls between
600 nm and 2 μm, with step sizes down to 60 nm (circles in Figure b). Using eq , we calculated the experimentally
realized wall thicknesses and verified that the designed step sizes
(i.e., thickness increments) were successfully implemented as 62 and
67 nm (samples with wall thicknesses of 1670, 1737, and 1799 nm).
The thickness of the horizontal walls was kept fixed to 1.7 μm
because a separate experiment showed that resonances corresponding
to the horizontal walls are not observable. Evaluating the change
of the resonance wavelengths with wall thickness yields tuning slopes
between 1.13 nm/nm for the m = 2 resonance and 0.25
nm/nm for the m = 9 resonance. Remarkable is the
large free spectral range of 220 nm in the visible of the sample with
600 nm wall thickness, as shown in the left panel of Figure b. This thickness is close
to the transverse size of the printed voxel which sets a fundamental
size limit to the features realizable by 3D nanoprinting. By calculating
the difference between the measured wall thickness and the designed
wall thickness, we determined the lateral voxel size to be (358 ±
23) nm for the used printing parameters (see details in Section 2 of the Supporting Information). Note
that this estimate does not describe the size of isolated voxels,
since the close proximity to other voxels inside the wall influences
their size.Furthermore, we revealed the impact of the gaps
on the transmission
characteristics by comparing samples with a fixed SOF of 18% but different
distributions of gaps to a reference sample which is nearly completely
closed (SOF = 1%, G = 2 μm; Figure ). An overall lower transmission
is observed for the samples with larger SOF. For a fixed SOF, the
losses decrease when a large number of small gaps is used instead
of a few long gaps. The transmission is highest for the shortest gap
size of G = 5 μm while the resonances are sharpest
in the samples with gap sizes of G = 10–20
μm. The less pronounced resonances for the sample with G = 5 μm could be attributed to its short segment
length of L = 23 μm, which might not be enough
for the resonances to built up. Assuming that the gap loss of the
reference sample with SOF = 1% is negligible, we calculated the loss
per gap for each of the investigated transmission bands (Figure b). The gap loss
is lowest for a gap size of G = 5 μm with 0.003
dB per gap increasing to 0.22 dB per gap for G =
40 μm.In all recorded transmission spectra, a double
dip structure is
visible, which most likely arises due to fabrication-related inhomogeneities
in the wall thickness. Numerical simulations reveal that surface roughness
in the cross-section of the waveguide can lead to a splitting of the
resonances, especially toward shorter wavelengths (Figure S1). Another reason might be a slight difference in
the wall width between the left and right side of the square shaped
cross-section. By fitting a sample spectrum with a two-width model,
we determine this difference to be on the order of 50 nm for a wall
thickness of 1.55 μm (Table , Figure S6).
Gas Sensing with Micro-Gap Waveguides
To demonstrate
the practical applicability of microgap waveguides for on-chip sensing
devices, gas sensing of ammonia was performed using laser scanning
absorption spectroscopy (details can be found in Materials and Methods). Therefore, a target wavelength of
1501.74 nm was chosen overlapping with a strong absorption line of
ammonia.[46,47] The waveguide used here was manufactured
with a wall thickness of W = 1.67 μm such that
the selected absorption line lies in a high transmission region of
the sample (Figure S7). Furthermore, the
waveguide has a core size of D = 20 μm, gap
length G = 10 μm, segment length L = 176 μm, and total length of 5 mm.The sample was placed
into a self-designed gas chamber and a tunable infrared laser provided
a monochromatic input beam (see Figure a,b) Two microscope objectives enabled in- and outcoupling
to the waveguide and a photodetector measuring the outgoing power.
Gas mixtures of nitrogen with varying concentrations of ammonia from
10% to 100% were prepared by means of a computer-controlled gas mixing
unit to guarantee precise control over the concentration. The measurement
was started 2 min after changing the concentration to ensure that
the gas inside the chamber was replaced completely.
Figure 5
IR gas absorption spectroscopy
with microgap waveguide. (a) Schematic
of experimental setup illustrating the diffusion of molecules into
the waveguide core (IR: tunable infrared laser, Obj: 20× microscope
objective, PD: photodetector, arrows: gas in- and outlets). (b) Photographic
images of the experimental gas chamber. (c) Waveguide transmission
spectra for varying concentrations of ammonia mixed with nitrogen,
recorded around a strong ammonia absorption line (λ0 = 1501.74 nm, green dots: absorption data according to HITRAN database[46,47]). Transmission values larger than one are caused by laser power
fluctuations. (d) Corresponding absorbance at λ0 (blue:
measurement from (c), orange: reference measurement without waveguide,
blue line: calibration curve). (e) Time-resolved decay of the transmission
for different gap sizes G when filling the chamber
with 100% ammonia (at λ0). (f) Filling time of the
waveguides shown in (e) as a function of SOF (dotted gray line: filling
time of the chamber measured without waveguide).
IR gas absorption spectroscopy
with microgap waveguide. (a) Schematic
of experimental setup illustrating the diffusion of molecules into
the waveguide core (IR: tunable infrared laser, Obj: 20× microscope
objective, PD: photodetector, arrows: gas in- and outlets). (b) Photographic
images of the experimental gas chamber. (c) Waveguide transmission
spectra for varying concentrations of ammonia mixed with nitrogen,
recorded around a strong ammonia absorption line (λ0 = 1501.74 nm, green dots: absorption data according to HITRAN database[46,47]). Transmission values larger than one are caused by laser power
fluctuations. (d) Corresponding absorbance at λ0 (blue:
measurement from (c), orange: reference measurement without waveguide,
blue line: calibration curve). (e) Time-resolved decay of the transmission
for different gap sizes G when filling the chamber
with 100% ammonia (at λ0). (f) Filling time of the
waveguides shown in (e) as a function of SOF (dotted gray line: filling
time of the chamber measured without waveguide).The results of the measurements are shown in Figure c. At the main absorption
line (λ0 = 1501.74 nm) the transmission decreases
with increasing
ammonia concentration as expected.[36] In
order to show the dependency between concentration and absorption,
the absorbance at this wavelength was determined by Lambert–Beer’s
law:[48]with the absorbance A, the
incident power P0, the transmitted power P, the molecular absorption coefficient ϵ, the molar
concentration c, and the absorption path length l. To verify that Lambert–Beer’s law can be
used in its unmodified form, we calculated the fraction of the power
of the modal field present inside the polymer walls and thereby cannot
be absorbed by the gas (see details in Section 6 of the Supporting Information). As shown in Figure c, this fraction is below 10–3 within the transmission bands, meaning that virtually
all of the field interacts with the gas.In Figure d, the
absorbance is shown as a function of the ammonia concentration. As
expected, the absorbance increases linearly with concentration for
low concentrations between 10% and 50%, while for higher concentrations
a saturation can be observed. This trend is also present in a reference
measurement with the same gas chamber without the waveguide. As reported
elsewhere,[49,50] this saturation can be attributed
to collision broadening of the line shape with increasing ammonia
concentration, which results in an increase in the area of the absorption
dip but not its amplitude. We used the absorbance data for concentrations
between 10% and 50% to obtain a linear calibration curve in accordance
with eq : A = 6.89 × 10–4 × c + 0.0109, where c is the volume concentration of ammonia in percent.
The values of these coefficients agree with the reference measurement
within one standard deviation, as expected (details can be found in
the Supporting Information, Section 5).From the calibration curve in Figure d, the limit of detection (LoD), meaning
the lowest concentration that can be detected in this setup, can be
obtained by[51] LoD = 3σ/s. Here, σ is the standard deviation of the residuals and s is the slope. For the specific configuration used here
we determined a limit of detection of LoD = 3.1%.To further
assess the gas diffusion capabilities, the gas filling
time into the core has been determined through dynamic measurements.
Specifically, the transmission through waveguides with different gap
sizes (G = 2–20 μm, Figure e,f) was continuously monitored
at one ammonia absorption line (λ0 = 1501.74 nm).
Each measurement started by switching the incoming gas from 100% nitrogen
to 100% ammonia. The initial plateau (t < 0, T = 1 in Figure e) appears due to the time the gas needs to flow from the
gas mixing unit into the gas chamber. After the waveguide is reached,
the transmission shows a rapid decay, indicating diffusion into the
different waveguide segments. Note that no further decrease in transmission
was observed at any longer time, indicating no further diffusion.
The filling times for different gap sizes, defined by the time difference
between 90% and 20% of the originally transmitted power (see Materials
and Methods for the choice of these values), are shown in Figure f. Here, larger gaps
lead to a faster decay of the transmission and reach 2 s for the waveguide
with 20 μm gaps. This value almost corresponds to the filling
time of the gas chamber itself, which was determined in a separate
measurement (1.92 s). Note that for the smallest gap size (G = 2 μm) twice that time is required (all numerical
values can be found in the Supporting Information, Section 5). The shoulder in the transmission data, which is
visible after the initial decay, results from mechanical compression
and decompression of the waveguide, leading to size modulation of
the core section and thus the core mode.
Discussion
The two presented analytical models are
in high agreement with
the numerical simulations, with the leaky slab waveguide approach
showing the best overlap, especially at IR wavelengths, all of which
confirms that antiresonance guidance is the relevant light guidance
effect. Note that eq accurately predicts the spectral positions of the resonances (Figures b and S2), providing a straightforward pathway to design
samples with desired optical properties.Numerical investigations
showed that fabrication inaccuracies such
as a rounding of the corners or surface roughness that is uniform
along the waveguide axis (e.g., parallel stripes running along the
waveguide axis) does not have a strong impact on the waveguide transmission
(Figure S1). This is in line with previous
findings that the exact shape of the corners of polygonal hollow-core
waveguides is irrelevant for its optical properties.[52] Loss due to the introduction of gaps was investigated experimentally
and also found to be low with about 10–2 dB per
gap for gaps shorter than 10 μm. However, the experimentally
observed off-resonance loss is about 1 order of magnitude higher than
predicted by theory. This could be explained by surface roughness
that is nonuniform along the waveguide axis therefore acting as a
grating that leads to scattering losses. Preliminary AFM-measurements
of the waveguide walls showed that such a roughness is present in
the fabricated samples. Future work will target improving the wall
uniformity and quality to reach higher levels of transmission, particularly
at IR wavelengths. Note that increasing the core size substantially
reduces modal attenuation, as for instance observed in antiresonant
fibers where losses scale with 1/R4 (R: core radius).[37] This phenomenon
is different to waveguides that operate on total internal reflection
and in which the modal losses are defined by scattering. A further
reduction of the loss of the waveguide could principally be achieved
by using materials with higher refractive index during the printing
process like ceramics or crystalline materials provided that the strong
shrinkage of the typically used hybrid organic–inorganic resists
during the heat-induced curing can be substantially reduced.[53−57] On the other hand, materials with lower refractive indices like
quartz glass might also be beneficial because the losses from surface
roughness could be lower[58,59] and the resonances
shift less with a varying wall thickness (see eq ). However, the optical properties of the
waveguides also depend to a great extent on the mechanical stability
of the resist and the ability to create optically smooth surfaces,
making it hard to judge a priori which type of resist is best suited.
Overall, the use of inorganic materials would provide better stability
of the microgap waveguides against harsh environmental conditions.
As shown for light cages, protection against corrosive chemicals can
also be provided by coating the nanoprinted structures with alumina
nanofilms via low-temperature atomic layer deposition (ALD).[3,60]The experiments indicate that the introduction of gaps into
the
waveguide system does not influence the position of the transmission
bands but the magnitude of the overall transmission. For reaching
a certain SOF, it seems beneficial to distribute many small gaps along
the waveguide axis instead of a few long gaps. Here, we want to point
out that beam diffraction of the waveguide mode in the gaps is low
since the Rayleigh length of a comparable Gaussian-shaped mode is
on the order of 200 μm, which is much longer than the investigated
gap sizes. Imperfect terminations of the segments or a manufacturing
induced offset between segments perpendicular to the beam axis could
further contribute to the gap loss.The high degree of reproducibility
of the transmission spectra
of copies of the same waveguide within one chip shows that the 3D
nanoprinting process is a highly precise method for manufacturing
waveguides.[45] Despite the fact that the
voxel size is approximately half the wavelength of the femtosecond
laser, subwavelength control of the wall thickness down to 60 nm is
possible using nanoprinting (Figure b).Compared to ARROW waveguides, microgap waveguides
achieve similar
propagation loss and total sample lengths[17,61] while offering simplified fabrication and transverse access to the
core region through the gaps. In addition, square-core waveguides
are intentionally independent of the polarization direction of the
light, which is an advantage over ARROW waveguides which often have
rectangular cross sections.[62−65] One particular advantage of microgap waveguides is
their large structural openness factor: Waveguide architectures that
contain holes that are introduced in a postprocessing step, often
reach SOFs of only 0.001–0.005%,[29−31] while in contrast the
microgap waveguide reaches SOFs of up to 18%. Such high openness is
especially important for diffusion experiments such as low-vapor pressure
quantum optics[3] or nanoparticle tracking
analysis.[66] It is important to note that
the authors recently showed a substantially enhanced level of integration
through interfacing nanoprinted light cages with optical fibers on
silicon chips,[36] an approach that can be
employed to microgap waveguides as well. Another appealing approach
is to nanoprint structures directly on the end face of optical fibers,
which has been realized for conventional hollow-core waveguide geometries.[67] Note that the shorter sample length of 1 mm
and the lack of side-wise openness of these structures might represent
a disadvantage for sensing applications. Compared to our previous
realization of 3D-nanoprinted waveguides,[35] the propagation loss of microgap waveguides is improved by more
than a factor of 2 toward longer wavelengths (λ > 1300 nm)
for
a similar mode area, a result that we attribute to less surface roughness.The agreement of the absorption experiments of waveguide and bulk
reference measurements (see Section 5 in the Supporting Information) verify that microgap waveguides are principally
suitable for gas sensing. From the application perspective, relevant
environmental ammonia concentrations are in the order of parts per
billion (ppb).[68] In this regard, we would
like to point out that in our system, the measured LoD of 3.1% is
mainly limited by the detection system and not by the waveguide itself.
As reported, for instance, in refs (69 and 70), more advanced detection methods such as wavelength-modulation spectroscopy,
lock-in detectors, monitoring of incident laser power, or chemical
methods (e.g., spectrophotometric ammonia detection) can be employed
to measure ammonia concentrations in the ppb range. For unspecific
detection of gases based on refractive index differences, a nanoprinted
fiber-integrated microring resonator device has been demonstrated,
being capable of sensing ethanol concentrations down to 0.5 ppm via
physisorption.[71] At the waveguide level,
the LoD could be further reduced by increasing the waveguide length,
leading to larger fringe contrast. Increasing the waveguide length
from 5 mm to the maximally investigated length of 5 cm principally
allows measuring ten times lower concentrations. Note that while meter-long
hollow-core fibers typically have lower detection limits,[72] associated filling times may exceed practically
feasible limits. Here, microgap waveguides can be directly immersed
in the analyte, which can transversely enter the core section. The
decay of transmission, which is visible in the dynamic measurements
(Figure e), is basically
composed of three contributions: (i) filling time of the gas chamber,
(ii) bulk diffusion into the free areas between the segments, and
(iii) restricted diffusion into the cores of the segments themselves.
Due to the latter, the samples with small SOF show a slower diffusion
(delay up to 2 s) compared to the chamber itself. This is in contrast
to the samples with the largest SOF (about 10%), filling up nearly
as fast as the gas chamber. Therefore, we attribute the decrease in
filling time for larger gap sizes G to the fact that
these samples allow more bulk-type diffusion (see Table S2 of the Supporting Information for details). A further
reduction of the filling time can be achieved by using even larger
gaps or local modification of the microgap waveguide (e.g., perforation
or partial opening of the segments), which can be easily realized
by means of the 3D nanoprinting process.Compared to the light
cage concept, the microgap waveguide presented
here has several key advantages, such as simplified and faster fabrication
by 3D nanoprinting in Cartesian coordinates, one-step implementation
of longer waveguides (up to 5 cm), or much lower losses in the infrared
(1.25 vs 3 dB/mm @ 1400 nm). From the optical perspective, improved
optical properties result from much wider spectral transmission windows
(>200 nm) and much more pronounced resonances (>60 dB). With
the same
optical losses (approximately 0.5 dB/mm), the microgap waveguide has
decisive advantages over ARROWs, such as lateral access and thus significantly
faster diffusion and the avoidance of costly and time-consuming multistep
manufacturing processes by using 3D nanoprinting.
Conclusion
In this work, a novel type of integrated
on-chip hollow-core waveguide
that shows strong light-gas interaction over centimeter distances
is introduced. The waveguide design consists of two types of segments
alternating on the micrometer scale: (i) square shaped hollow waveguide
segments consisting of 20 μm cores enclosed by submicrometer
polymer walls and (ii) open gap regions between adjacent elements
for externally accessing the core region. Samples with lengths up
5 cm on silicon chips have been implemented through 3D-nanoprinting,
avoiding time-consuming multistep fabrication procedures. As confirmed
by mathematical models and full numerical simulations, light guidance
in this type of waveguide is based on the antiresonance effect, which
is reflected in a characteristic transmission distribution. Our study
includes full optical characterization, revealing modal loss, impact
of gap size, and spectral tuning potential. Examples of highlights
include operation from visible to near-infrared wavelengths, extremely
broadband transmission windows (>200 nm), clear resonance dips
with
exceptionally high fringe contrasts (>60 dB), low loss per gap
(0.003
dB), and controlling resonance wavelengths through precise nanoprinting
with successfully implemented step sizes (i.e., increments) in wall
thickness of 60 nm. Particularly noteworthy is the exceptionally large
structural opening factor of 18%, exceeding those of perforated waveguides
by more than thousand. The application potential was demonstrated
in the context of laser-scanning absorption spectroscopy of ammonia,
showing fast diffusion speeds nearly indistinguishable to bulk type
diffusion in cuvettes and a limit of detection that lies in the order
of other reported devices. Due to these unique properties, application
of the on-chip antiresonant hollow-core microgap waveguide can be
expected in a variety of fields related to integrated spectroscopy,
including bioanalytics (e.g., detection of contamination), environmental
sciences (e.g., gas analysis) and life sciences (e.g., nanoparticle
tracking analysis). Note that operation in liquids, particularly in
water, is straightforward to achieve due to the flexibility of the
light guidance effect and has been demonstrated on the example of
optofluidic light cage[73] Here, 3D nanoprinting
offers unique opportunities in terms of implementing customized on-chip
hollow-core waveguides, examples of which include the introduction
of local modification already in the fabrication step, or the implementation
of geometries with cross sections that vary along the waveguide axis,
all of which making the presented waveguide a promising alternative
to ARROWs.
Materials and Methods
Fabrication
The microgap waveguides were realized on
polished silicon substrates by two-photon-polymerization of liquid
IP-Dip photoresist using a commercial 3D nanoprinting system (Photonic
Professional GT, Nanoscribe GmbH). Compared to other 3D additive manufacturing
techniques such as direct ink writing or electrohydrodynamic redox
printing, only two-photon-polymerization can reach the required small
voxel size while retaining printing speeds sufficient for creating
centimeter-long waveguides.[74] To this end,
the dip-in configuration of the system was used where a high numerical
aperture objective (Plan-Apochromat 63×/1.40 Oil DIC, Zeiss)
is immersed directly into the resist. Femtosecond laser pulses with
a center wavelength of 780 nm, repetition rate of 80 MHz and pulse
length of 100 fs are focused through the objective to induce polymerization
of the resist. Individual waveguide segments are built up layer-by-layer,
laterally, by scanning the focused laser beam using a galvanometric
mirror and axially by piezo-driven displacement of the substrate. Due to the occurrence of aberrations and a decrease in
intensity toward the edges of the print field, the maximum length
of individual segments was limited to 180 μm. Subsequently,
the substrate is shifted along the waveguide axis by means of a mechanical
stage, either leaving a gap to the previous segment or linking two
segments with an overlap of 10 μm to realize segments lengths
larger than 180 μm. Artifacts arising from the stitching process
were minimized by calibrating the mechanical stage and could further
be improved by using stitch-free nanoprinting where mechanical stage
and galvanometric mirror move in sync.[75] Typical printing parameters were 37 mW, 70000 μm/s, 1 V/ms2, and 150 nm/200 nm for laser power, scanning speed, mirror
acceleration, and hatching/slicing distances, respectively. Please
note that the reported value for the acceleration of the galvanometric
mirror is only applicable within the framework of machines by Nanoscribe
GmbH. Generally, a low mirror acceleration should be used to achieve
a high quality of the edges of the printed structures. The maximum
spacing between blocks in order for the structure to be stable was
determined to be 60 μm. After laser-exposure, the unpolymerized
resist was removed by immersion in propylene glycol monomethyl ether
acetate (PGMEA, Sigma-Aldrich) for 30 min and methoxy-nonafluorobutane
(Novec 7100 Engineered Fluid, 3M) for 15 min, followed by evaporative
drying in air.
Optical Characterization Setup
The optical characterization
of the samples was carried out on two setups. The setups consist of
a broadband white light source (SuperK Fianium, NKT Photonics; SuperK
Compact, NKT Photonics), in- and outcoupling objectives mounted on
3D translation stages (Nikon, 10×, NA = 0.3; Olympus, 20×,
NA = 0.4; Olympus, 10×, NA = 0.25), a CCD for imaging the waveguide
mode and a spectrometer (Princeton Instruments, grating period: 300
g/mm, blaze angle: 750 nm, spectral resolution: Δλ = 0.13
nm; Ando optical spectrum analyzer AQ-6315A) connected to a multimode-fiber
(M15L05, core size: 105 μm, NA: 0.22; M42L05, core size: 50
μm, NA: 0.22). Both setups employ a polarizer to obtain a horizontally
polarized beam from the white light source. One setup uses a system
to improve the beam quality, including a beam expansion stage combined
with a pinhole. The other system includes a notch filter to block
the pump laser of the supercontinuum source at 1060 nm. The coupling
to the fundamental mode of the waveguide is optimized by beam steering
and shifting the objective on the 3D translation stage. The process
is monitored by imaging the core mode onto a CCD optimizing for highest
CCD pixel intensity while preserving the shape of the fundamental
mode. In a second step, the power coupled to the fiber of the spectrometer
is maximized.All recorded spectra are normalized to a reference
spectrum taken without a sample and the objectives moved closer together
to compensate for the missing length of the waveguide. Mode images
at different wavelengths were recorded using the wavelength selector
of the supercontinuum source, which features a bandwidth of approximately
10 nm.
Gas Absorption Measurement
The setup for the ammonia
gas sensing consists of a tunable diode laser (TUNICS 1550, Photonetics),
two microscope objectives for in- and outcoupling (Edmund, 20×,
NA = 0.4; Olympus, 10×, NA = 0.25), a CCD (ABS, IK1513), and
a photodiode (Thorlabs, S122C) to monitor the outgoing power. Both
objectives are mounted on 3D translation stages to enable the coupling
to the fundamental mode of the waveguide. The CCD is used to check
if the coupling is successful. In this case, a clear core mode with
hexagonal symmetry can be observed. In a computer-controlled gas mixer
(Qcal, GMS_4CH_HP) different compositions of ammonia and nitrogen
were prepared with the gas flow set to 75 sccm. From there the gas
mixture flows through a tube to the inlet of a self-designed 3D-printed
gas chamber while the outlet is open to ambient air. The windows of
the gas chamber are made of borosilicate glass and have a thickness
of around 0.15 mm. For the spectroscopic measurement, the laser wavelength
was swept through the wavelength region of 1501.55 to 1501.95 nm with
a step size of 1 pm. The bandwidth of that laser is 100 kHz which
is well below the used step size. Each spectrum was normalized to
an individual linear baseline, that connects the transmission values
at the border of the region of interest (1501.57 and 1501.93 nm).
Each measurement took around 3 min. Note that this duration is limited
by the scanning speed of the tunable laser. For the dynamic measurement,
the transmission wavelength remained constant at the main absorption
line of ammonia (λ0 = 1501.74 nm). The filling times
were then determined as the time difference between reaching 90% and
20% of the original transmitted power. Those limits were chosen to
suppress the effect of fluctuations at the beginning of the measurement
and the shoulder after the initial decay. For a better overview, all
data from the dynamic measurements were rescaled, while for all gap
sizes, the transmission drop is about 15%, which is in accordance
with the static measurements for 100% ammonia concentration (purple
curve in Figure c).
The specifications of the different experiments can be found in the Supporting Information, Section 5.
Numerical Simulation
Numerical simulations were carried
out using a commercial finite element solver (COMSOL Multiphysics,
RF module). The waveguide was assumed to be continuous along the propagation
axis, that is, the effect of gaps is neglected. Using the Cartesian
symmetry of the waveguide, the eigenvalues of one quarter of its two-dimensional
cross section were calculated using perfect-electrical conductor and
perfect magnetic conductor boundary conditions along the vertical
and horizontal symmetry lines, respectively. Perfectly matched layers
were employed at the remaining two boundaries. The predictions of
the analytical model along with manual selection were used to identify
the one-lobed fundamental mode. The Sellmeier coefficients for the
dispersion of the polymer were taken from Table 2 in a work on the
optical properties of photoresists.[77] Material
absorption in the investigated wavelength range is low and was not
considered. All waveguides were simulated with a core size of D = 20 μm and wall thickness of W = 1 μm. For Figure , a rounding radius of 2 μm was used to account for
fabrication inaccuracies. For the simulation of the surface roughness
in Figure S1, a sinusoidal roughness term
was applied to the 2D cross section of the waveguide with a periodicity
of 200 nm and an amplitude of 100 nm for the vertical walls and a
periodicity of 150 nm and an amplitude of 200 nm for the horizontal
walls, accounting for the different slicing/hatching distances and
the ellipsoidal voxel shape. In order to compensate for the additional
material, the wall thickness of the vertical walls was reduced to
856 nm and to 793 nm for the horizontal walls.
Analytical Models
A complete description of the two
analytical models for light guidance in hollow square core antiresonant
waveguides, assuming uniformity along the propagation direction, can
be found in Section 3 of the Supporting Information.
Authors: Jörn P Epping; Tim Hellwig; Marcel Hoekman; Richard Mateman; Arne Leinse; René G Heideman; Albert van Rees; Peter J M van der Slot; Chris J Lee; Carsten Fallnich; Klaus-J Boller Journal: Opt Express Date: 2015-07-27 Impact factor: 3.894
Authors: Krzysztof T Kaczmarek; Dylan J Saunders; Michael R Sprague; W Steven Kolthammer; Amir Feizpour; Patrick M Ledingham; Benjamin Brecht; Eilon Poem; Ian A Walmsley; Joshua Nunn Journal: Opt Lett Date: 2015-12-01 Impact factor: 3.776
Authors: Alexander Hartung; Jens Kobelke; Anka Schwuchow; Jörg Bierlich; Jürgen Popp; Markus A Schmidt; Torsten Frosch Journal: Opt Lett Date: 2015-07-15 Impact factor: 3.776