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Mid-infrared-perturbed molecular vibrational signatures in plasmonic nanocavities

A Correction to this article was published on 24 February 2022

This article has been updated

Abstract

Recent developments in surface-enhanced Raman scattering (SERS) enable observation of single-bond vibrations in real time at room temperature. By contrast, mid-infrared (MIR) vibrational spectroscopy is limited to inefficient slow detection. Here we develop a new method for MIR sensing using SERS. This method utilizes nanoparticle-on-foil (NPoF) nanocavities supporting both visible and MIR plasmonic hotspots in the same nanogap formed by a monolayer of molecules. Molecular SERS signals from individual NPoF nanocavities are modulated in the presence of MIR photons. The strength of this modulation depends on the MIR wavelength, and is maximized at the 6–12 μm absorption bands of SiO2 or polystyrene placed under the foil. Using a single-photon lock-in detection scheme we time-resolve the rise and decay of the signal in a few 100 ns. Our observations reveal that the phonon resonances of SiO2 can trap intense MIR surface plasmons within the Reststrahlen band, tuning the visible-wavelength localized plasmons by reversibly perturbing the localized few-nm-thick water shell trapped in the nanostructure crevices. This suggests new ways to couple nanoscale bond vibrations for optomechanics, with potential to push detection limits down to single-photon and single-molecule regimes.

Introduction

Optical detection methods in the mid-infrared regime (MIR, 3–15 µm) with single-photon sensitivity have wide implications in astrophysics and molecular nanoscience. Molecules and polar dielectric systems have characteristic bond vibrations and phonon modes across MIR wavelengths1,2,3,4,5,6. For ultrasmall sample volumes, optical detection (or pumping) of these modes gives low signals and is challenging due to the weak far-field coupling of these vibrations and low quantum efficiencies of MIR detectors7,8. Fourier transform infrared spectroscopy methods with photoconductive detectors (MCT) remain the workhorse for MIR detection, but they are slow, often require cryogenic cooling, and cannot approach the quantum limit. Upconverting low-energy MIR photons to high-energy visible photons would significantly benefit from single-photon-sensitive semiconductor (CCD, CMOS) technologies9,10,11,12,13,14. However, the poor conversion efficiencies and small spatial overlap of MIR and visible photons pose significant challenges15.

Recent developments have circumvented the limitations associated with optical diffraction at long wavelengths by using near-field tip scanning (s-SNOM), photothermal infrared (PTIR)16,17 and far-field mid-infrared photothermal microscopy (MIP)18. s-SNOM still relies on MCT-based detection schemes but can overcome diffraction limits from near-field scanning tips. Near-field (PTIR) and far-field (MIP) photothermal methods instead utilize efficient detection in the visible. The modulated MIR laser beam changes the reflection/transmission of a visible beam due to thermal expansion, pressure waves, refractive index changes or Grüneisen changes in the medium, which are efficiently detected through lock-in methods18. Even though the visible detectors used are fast and efficient, the signals obtained in PTIR and MIP are limited by thermal diffusivities on millisecond timescales.

These challenges can be addressed by upconversion which utilizes cavity optomechanical approaches for efficient MIR detection. When MIR light impinges on an optical resonator it can excite mechanical resonances which are read out optically, allowing measurement at room temperature with low noise19,20,21,22. Here the detection limits are set by optomechanical coupling strengths (g), proportional to the quality factor of the mechanical mode. However, the diffraction-limited size of such cavities limits g to less than 1 MHz and thus functions worse than conventional MCT-based detectors. Intriguingly, the mechanical motion can now be replaced by vibrating bonds in molecules (Fig. 1a), opening clear avenues for molecular optomechanics and photochemistry23,24. This landscape of detection speed and resolution towards single-photon and single-molecule sensitivity shows how these diverse detection methods compare (Fig. 1b).

Fig. 1: Coupling MIR and visible light into plasmonic nanogaps.
figure 1

a Energy diagram of MIR-perturbed SERS from molecule with ground (v = 0) and excited (v = 1) vibrational states. b Landscape of MIR detection speed and resolution comparing conventional and state-of the-art detection schemes with the NPoF devices. Faster detectors can distinguish single MIR photon arrival times in the detection stream. c Nanoparticle-on-foil (NPoF) constructed on thin metal film. d Simulated electromagnetic field enhancement vs wavelength in the center of NPoF gap. Inset shows enhanced light intensity at MIR λ = 10 µm. Shaded regions show perturbed SERS (red) and MIR pumping (yellow). e Simulated electromagnetic field enhancement at 633 nm used for SERS measurements

Here we develop a MIR-perturbed surface-enhanced Raman scattering (SERS) method which uses single-molecule-sensitive metal nanocavities. The system is constructed using gold nanoparticles (AuNP) on a thin foil of planar Au with vibrating molecules assembled in the gap formed between them (Fig. 1c). The strong visible-light confinement in the nanogap provides enhanced (>109) Raman scattering from the molecules in the gap, acting as a near-field probe. In this detection scheme, MIR light is absorbed in molecular bonds on the foil significantly altering the Stokes and anti-Stokes Raman signals at visible wavelengths, which can easily be detected (Fig. 1a). The interaction of light and matter in these sub-nm mode volumes allows extreme sensitivity to (in principle) single MIR photon with resolution down to a single molecule (Fig. 1b).

Results

Coherent electron oscillations coupled with light (plasmon polaritons) trap electromagnetic (EM) fields around metal nanostructures giving a resonant optical response in the visible and broad weaker optical response spanning from visible to MIR wavelengths25,26,27,28,29,30. While single metal nanoparticles do not provide sufficient field enhancement needed for robust single-molecule SERS, nanogap confinement improves this greatly. Here we exploit a multilayer nanoparticle-on-foil (NPoF) cavity that resonantly enhances the near-field at visible wavelengths in addition to giving a broad MIR optical response from lighting rod effects31,32. This structure consists of a faceted gold nanoparticle placed ~1.3 nm above a thin Au film (10 nm) deposited on a SiO2 substrate (Fig. 1c). The gap distance between the AuNP and Au film is set by the monolayer height of biphenyl-4-thiol (BPT) molecules preassembled from solution onto the film before AuNP deposition. The resulting NPoF structure supports plasmonic (lm) = (10) and (20) cavity resonances at 850 nm and 650 nm with E/E0 > 100 (Fig. 1e)33,34,35. This gives strong SERS and a broad uniform near-field enhancement across the MIR absorption wavelengths of 5–15 µm (Fig. 1d). The NPoF is designed for optimal spatial overlap of visible and MIR light which is vital for MIR-perturbed SERS.

To study the MIR-perturbed SERS from these cavities, we direct a tunable MIR pump beam (500 µW average power) and 633 nm SERS probe (150 µW average power) onto individual NPoF cavities (Fig. 2a). The 633 nm laser is focused through the SiO2 substrate while the MIR pump is focused via a Cassegrain objective from the air-side, with estimated spot diameters on the sample of 1 μm for 633 nm and 20 μm for the MIR beam at λ = 10 μm (Supporting Information, Fig. S1). Both beams are coaligned onto the sample and the back-scattered SERS from BPT molecules is collected through the SiO2 substrate and routed to the spectrometer. The NPoF supports a unique dual configuration with metal-insulator-metal (MIM) gap mode at the AuNP-foil junction coupling to the insulator-metal-insulator (IMI) mode at the air–foil–glass interface, resulting in tightly confined MIMI modes which radiate SERS light predominately into the glass medium36.

Fig. 2: MIR pump and visible SERS probe.
figure 2

a Setup of MIR (800–1600 cm−1) pump and visible (633 nm) probe beams illuminating an individual NPoF sample highlighted in black dotted circle. Acousto-optic modulator (AOM) for 633 nm SERS probe beam is synchronized with MIR pulses. SERS from NPoF sample is collected by a 0.8 NA ×100 objective after filtering out probe laser with two notch filters. b SERS spectra from BPT self-assembled monolayer with and without the MIR pump at 1100 cm−1. c Difference in the SERS amplitude induced by MIR, averaged over 3 scans on a single NPoF. d Perturbed change (Δζ %) in SERS intensity (measured at 1100 cm−1) obtained by repeatedly switching the MIR beam ON/OFF for two different NPoFs

The NPoF cavities provide stable SERS signals upon laser illumination at 633 nm, with characteristic BPT vibrational lines at 1080 cm−1 and 1585 cm−1 (Fig. 2b).37 The spectral intensity variation obtained from time-series spectra over a period of 30 s from an individual NPoF cavity is <1% (Supporting Information Fig. S2). Upon irradiating with MIR light at 1100 cm−1, the SERS intensity is found to decrease by Δζ > 20% (Fig. 2b). This strong decrease in SERS signal is observed across all the vibrational lines of BPT as well as the Stokes background from the electronic Raman scattering (Fig. 2c). The observed intensity change immediately recovers once the MIR light is turned off (Fig. 2d).

To understand the MIR energy dependence we collect SERS spectra while tuning the MIR energy between 800 and 1600 cm−1 (in steps of 20 cm−1). SERS spectra are also collected both before and after the sample is illuminated with MIR light for reference. Scans with large variations (> 30%) in the SERS spectra before and after MIR illumination either due to the alignment drift or diffusion of Au-adatoms in NPoF gaps are not considered38,39,40. Perturbed changes Δζ in SERS Stokes and anti-Stokes signals upon tuning the MIR illumination energy (Fig. 3a) show a broadband response. Line profiles extracted from BPT at two different vibrational lines (1080 cm−1 and 1585 cm−1, Fig. 3b–e) show the maximum decrease occurs when the MIR is tuned around 1100 cm−1. Electronic Raman signals extracted from the Stokes background exhibit similar line profiles, with a lower magnitude (grey). This characteristic MIR-perturbed peak at 1100 cm−1 corresponds to the SiO2 phonon absorption (see below).

Fig. 3: MIR energy-dependent SERS change.
figure 3

a Perturbed Δζ (%) in the SERS signal from an individual NPoF when scanning the MIR frequency. Δζ is normalized by the reference SERS before and after MIR illumination from the same NPoF cavity. be Perturbed Δζ (%) extracted at the BPT vibrational lines at: 1580 cm−1 (yellow), 1080 cm−1 (brown), Stokes electronic Raman scattering ERS (grey) and anti-Stokes ERS (green), indicated by arrows in (a). Analysis from three other NPoFs is shown in (ce). (Unprocessed spectra in Supporting Information, Fig. S3, S4)

It is important to note that we never observe an increase in SERS, even when using AuNPs with different lower facet size which tunes their plasmon resonances with respect to the 633 nm probe wavelength (Supporting Information, Fig. S10). The measured scattering resonances match our simulations for AuNPs with average facet sizes of 20 nm, which is consistent with scanning electron microscope images (Supporting Information, Fig. S9). In addition, experiments performed on the foil away from the AuNP do not show any signature of MIR-perturbed SERS, which confirms that the perturbed SERS signals are observed only from the nanogap, and not from the foil on its own.

To confirm the origin of MIR-perturbed signals from the influence of vibrations of the support material underneath the foil, we constructed NPoF systems with polystyrene replacing SiO2 under the foil (Fig. 4a). The MIR energy dependence on polystyrene-NPoFs show a different spectral dependence and weaker signal intensity compared to SiO2 samples. Here a smaller MIR frequency range is scanned with a finer resolution of 5 cm−1. The MIR-perturbed SERS spectrum displays sharp peaks matching the vibrational absorption lines of bulk polystyrene, clearly indicating that the signal must originate from interactions with the material underneath the foil. The perturbed SERS signal varies across different NPoF structures which is a characteristic signature of nanoscale inhomogeneities, depending on the exact molecular geometry of polymer underneath the NPoF.

Fig. 4: MIR-perturbed SERS for polystyrene NPoF.
figure 4

a NPoF sample with 500-nm-thick polystyrene underneath the Au-foil. b MIR perturbed Δζ (%) in the SERS signal from an individual polystyrene NPoF when scanning the MIR frequency (unprocessed spectra in Supporting Information, Fig. S13a). c Δζ (%) extracted at the BPT vibrational lines at: 1580 cm−1 (yellow) and 1080 cm−1 (brown) from (b) and compared with the bulk polystyrene absorption (black)

To characterize the dynamics of the MIR-perturbed SERS signal originating from the phonons underneath the foil, we develop a time-correlated single-photon lock-in method to time-resolve the signal. The Stokes part of the SERS signal is routed to a single-photon avalanche diode (SPAD) detector (Fig. 5a). The arrival of each SERS photon is time-correlated to the MIR trigger signal from the quantum cascade laser (QCL). This allows us to resolve the MIR-perturbed signal with a time resolution of 100 ps41. The QCL is triggered at 0.32 MHz with MIR pulses of width 100 ns. The MIR-perturbed SERS rapidly decreases immediately after the MIR pulse (Fig. 5b), with a timescale of ~300 ns consistently obtained across multiple NPoF cavities (not limited by the MIR pulsewidth of 100 ns). Subsequently, the SERS signal recovers with a longer decay time of >500 ns. This temporal response is fit with the single exponential rise and decay times using experiments on >25 NPoF cavities. The rise time is narrowly distributed around 290 ± 50 ns whereas the decay time is more variable spanning 700 ± 250 ns (Fig. 5c). We find a positive correlation between the rise and decay times (τdecay ~ 3.9τrise), suggesting they are intrinsically linked to the origin of the MIR-perturbed SERS signature.

Fig. 5: Time-resolved single-photon lock-in measurements.
figure 5

a Modified microscope correlates trigger signals from MIR laser with SERS photons (filtered by band-pass BP) detected by single-photon avalanche diode (SPAD) via custom field-programmable gate array (FPGA) board. Single-photon detection by the SPAD is read out through a signal converter (NIM to TTL) onto the FPGA board. b Time-resolved MIR-perturbed SERS signal (red) from 100 ns MIR pulse. Black curve is fit to extract rise and decay times. c Variation in rise time correlates with decay time, histograms of rise, decay times plotted on corresponding axes

Discussion

The maximum decrease in SERS signal observed at MIR energies ~1100 cm−1 is consistent across different NPoFs; however, the magnitude of signal varies between Δζ = 10–25%. The spectral response of the perturbed SERS does not match with Raman or IR vibrational lines of BPT. This indicates that MIR absorption in BPT is not the dominant contribution to the observed signal. Instead, this characteristic peak at 1100 cm−1 corresponds to the SiO2 phonon absorption. This is also evidenced in the reflection dip that exhibits a typical Reststrahlen band42,43 and confirmed by simulations of the MIR absorption at the Au–SiO2 interface (Fig. 6a, b). Within a band between 900 and 1150 cm–1, the real part of the SiO2 dielectric function is negative (Re(ε)<0). The reduced SERS signal must therefore arise from a decrease in near-field intensity of the 633 nm probe, somehow caused by MIR excitation of this confined mode at the Au–SiO2 interface. This results in a linear response with MIR power (Fig. 6c).

Fig. 6: SERS attenuation due to SiO2 phonon absorption.
figure 6

a Perturbed Δζ (%) in the SERS signal from an individual NPoF when scanning the MIR frequency. b Experimental and FDTD-simulated MIR absorption spectra of SiO2-Au interface obtained in reflection geometry. c MIR (1100 cm−1) power-dependent variation in the Δζ (%) of SERS signal. Solid line is linear fit, dashed gives detection noise baseline. d, e Steady-state heat profile in NPoF simulated at (d) 1000 cm−1 and (e) 1500 cm−1. f Near-field enhancement of NPoF at 705 nm (1580 cm−1 SERS line) surrounded by a 30-nm-thick water shell (blue). g Simulated Δζ (%) for decreasing water shell thicknesses

Direct heating of the Au interface from the 2 mW average power MIR pump contributes only a minimal change of <1 °C in temperature (Fig. 6d, e), which is fully consistent with the unchanged anti-Stokes background of SERS signals observed. The change in refractive index of SiO2 needed to account for a 20% decrease in SERS is rather high (Δn > 0.2) for the pump powers used here (Supporting Information, Fig. S5), corresponding to temperatures >1000 °C. As a result, simple thermal effects are not sufficient to account for these observations. Further, conventional photothermal signals possess slow timescales (ms)44,45 as the induced deflection of visible light requires strong deformations of the substrate underneath. Thermal expansion of Au or SiO2 for a 10 K increase in local temperature is far too small to modulate the visible probe as required (Supporting Information, Table. S1). Similarly, reversible reconstruction of grain boundaries or polycrystallinity in the Au-foil on SiO2 seems also unlikely to explain this MIR-perturbed SERS.

The decrease in the SERS signal is thus attributed to a shift in the plasmon resonance wavelength perturbed by the modulation of refractive index directly around the AuNP (Supporting Information, Fig. S6). Exciting the SiO2 Reststrahlen band shifts the (10) NPoF plasmon by ~1 nm and reduces the plasmon enhancement of SERS at λ = 633 nm. We can identify very few possible routes for this modulation, but possibilities can be either from nm-scale deformations in the NP surface or from the effects of a nanoscale shell of water in the crevices under the AuNP. This shell of water is always present for such nano-assemblies in ambient conditions, and extremely hard to remove due to the highly acute crevice angle. The experiments performed here are in ambient dry conditions. However, in such nanogap confined environments, trapped water rearranges into various phases and can never be driven off completely46. We perform additional experiments with NPoF samples immersed in water and ethanol where evaporation is absent, and this indeed gives undetectable perturbation of the SERS signal in the presence of MIR light (Supporting Information, Fig. S8). Modelling shows that changing the crevice water shell width by < 5 nm is sufficient to induce a 20% decrease in the SERS signal (Fig. 6f, g). While the weak direct absorption of MIR light is insufficient to induce this, the situation is very different in the spectral band where SiO2 acts as a metal47 (Re(ε)<0 from 900 to 1200 cm−1) which allows it to support surface-plasmon-polaritons (SPPs) that amplify the optical field near Au by >50. These MIR SPPs are excited only by scattering at the NP, leading to even higher fields directly in the crevices and thus heating trapped water in real time. Indeed, replacing the SiO2 with Si3N4 (which has Re(ε) > 0 throughout our spectral range) eliminates this effect, demonstrating the key role of resonant MIR SPPs22. The total absorbed energy from each MIR pulse is a hundred-fold larger than required to evaporate a 5 nm shell of water. This mechanism is also consistent with the sub-µs rise and decay times, which correspond to thermal diffusion times from the heated nanoparticle (Fig. 6f).

Most dielectrics support vibrational mid-infrared-active phonon modes which interact with light and plasmons in the same fashion as described above48,49. These polariton modes are distributed across the MIR-visible regions and constrain the nanoscale geometries for producing upconverted SERS signals. Since MIR SPP excitation improves the MIR coupling into the gap, there is a trade-off between enhanced SERS upconversion and enhanced thermally perturbed retuning of the plasmon resonances. Our work suggests that avoiding the substrate Reststrahlen band will be needed for observing SERS upconversion from molecules22.

The efficiencies of MIR detection in this NPoF system are compared with state-of-the-art low-dimensional semiconductor heterostructures or graphene that have been implemented for THz detection in recent detection schemes50,51,52,53. From an application perspective, the relevant figure of merit is the noise equivalent power (NEP), which corresponds to the lowest detectable power in 0.5 s integration time. This is measured here as the MIR power-dependent perturbation to the SERS signal (Fig. 6c); however, most of the incident MIR is reflected by the Au-foil and remains undetected instead of being absorbed in the substrate. Given the 100 nm2 cross-section of NPoFs at MIR frequencies, the NEP is estimated to be 0.1 nW Hz−0.5, which is close to state-of-the-art detectors. Carefully designed variants of the NPoF geometry with MIR antenna resonances supporting unity absorption of MIR light would greatly boost the NEP. Theoretically the noise level is limited by photon shot noise in the visible laser, although in current experiments the noise is limited by the stability of the SERS signal. Light-driven diffusion of adatoms38,54 and fluctuations39 of defects in the metal nanoparticle contribute to significant variation in SERS intensities. There exists an opportunity to significantly improve the noise reduction by developing more robust nanocavity systems. Further, we suggest additional improvements in MIR detection by deterministically creating adatom picocavities with light40,55.

In summary, we show how molecular SERS signals are modified by irradiating with MIR light across a wide spectral bandwidth from 5.8 to 12 μm (24–51 THz, 800–1700 cm–1). Our observations reveal that phonon resonances of the SiO2 substrate trap intense MIR SPPs in the Reststrahlen band, which can temporarily retune the localized plasmons by perturbing the outer 5-nm-thick shells of water in the nanostructure crevices. This results in strong reductions in SERS intensity, but could also be used in other ways, for instance for tuning plasmons in real time, as well as for exciting the NPoM in the MIR through SPP waveguides or antenna coupling. This suggests new ways to access nanoscale chemical imaging3, MIR photothermal bolometers56, photoacoustic microscopy57 and optomechanics58.

Materials and methods

Sample preparation

To prepare the thin mirror, we deposit 10 nm of Au on a clean SiO2 cover slip (150 µm thick) with a deposition rate of 0.5 Å s−1 (Moorfield nanoPVD-T15A thermal evaporator). The Au-coated SiO2 substrates are dipped into a 1 mM solution of biphenyl-4-thiol (BPT, Sigma Aldrich, 97%) in anhydrous ethanol (Sigma Aldrich, <0.003% H2O) for 12 h resulting in self-assembled molecular monolayers (SAMs). For NPoF optical cavities, 80 nm faceted NPs (BBI Solutions) are deposited directly onto the BPT-assembled Au-coated SiO2 substrates. The deposition time is kept below 30 s, resulting in well-dispersed NPs. Lastly, the samples are rinsed thoroughly with double distilled water to remove the excess AuNPs.

Experimental setup

All SERS and MIR spectroscopy measurements are performed in a custom-built dual-channel microscope. For SERS, a spectrally filtered 633 nm diode laser (Matchbox, Integrated Optics) with 150 µWµm−2 power on the sample is used as a probe and is filtered with two notch filters before routing it to a Shamrock i303 spectrograph and a Newton EMCCD. The 633 nm light is focused onto the sample with the aid of a ×100 0.8 NA long working distance microscope objective. For imaging, the reflected light collected through the same objective lens is directed to a camera (Lumenera Infinity3–1). For the MIR light source, a quantum cascade laser (QCL) from LaserTune IR source (Block) with wavelength range of 5.4–13 μm is used (1635–780 cm−1) and maximum average output of 500 µW (~2 × 4 mm collimated) with 5% duty cycle. The pump (MIR light) is coaligned with the probe (visible light) using a 0.4 NA Cassegrain objective lens. For MIR detection, an external mercury-cadmium-telluride (MCT) IR detector is used along with a ZnSe beam-splitter and is synced with the AOM to modulate the 633 nm diode laser. This improves the pump and probe pulse temporal overlap by matching the repetition rate and pulse widths. The sample is placed on a fully automated motorized stage (Prior Scientific H101) which is controlled with code written in Python.

For single-photon time-correlated measurements, arrival times of all photons at the detector (Micro Photon Devices PDM $PD-100-CTD) and reference signals (MIR laser trigger) are continuously recorded by a time-to-digital converter on a field-programmable gate array (FPGA) board. Comparing the photon timestamps with the reference signal allows recreating the periodic perturbation of the SERS signal by the MIR laser in time, integrated over millions of modulation cycles. This single-photon lock-in detection scheme is described in more detail elsewhere41.

Data availability

Source data can be found at https://doi.org/10.17863/CAM.79290.

Change history

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Acknowledgements

The authors acknowledge support from European Research Council (ERC) under Horizon 2020 research and innovation programme PICOFORCE (Grant Agreement No. 861950), THOR (Grant Agreement No. 829067) and POSEIDON (Grant Agreement No. 861950). We acknowledge funding from the EPSRC (Cambridge NanoDTC EP/L015978/1, EP/L027151/1, EP/S022953/1, EP/P029426/1, and EP/R020965/1). R.C. acknowledges support from Trinity College, University of Cambridge.

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R.C and J.J.B conceived and designed the experiments. R.C. performed the experiments with input from A.X and L.A.J. R.C. carried out the simulation and the analytical modelling with input from A.X. R.C., A.X. and J.J.B. analysed the data. R.C. and J.J.B. wrote the manuscript with input from all authors.

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Correspondence to Rohit Chikkaraddy or Jeremy J. Baumberg.

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Chikkaraddy, R., Xomalis, A., Jakob, L.A. et al. Mid-infrared-perturbed molecular vibrational signatures in plasmonic nanocavities. Light Sci Appl 11, 19 (2022). https://doi.org/10.1038/s41377-022-00709-8

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