We investigate the potential of surface plasmon polaritons at noble metal interfaces for surface-enhanced chiroptical sensing of dilute chiral drug solutions with nl volume. The high quality factor of surface plasmon resonances in both Otto and Kretschmann configurations enables the enhancement of circular dichroism differenatial absorption thanks to the large near-field intensity of such plasmonic excitations. Furthermore, the subwavelength confinement of surface plasmon polaritons is key to attain chiroptical sensitivity to small amounts of drug volumes placed around ≃100 nm by the metal surface. Our calculations focus on reparixin, a pharmaceutical molecule currently used in clinical studies for patients with community-acquired pneumonia, including COVID-19 and acute respiratory distress syndrome. Considering realistic dilute solutions of reparixin dissolved in water with concentration mg/ml and nl volume, we find a circular-dichroism differential absorption enhancement factor of the order ≃20 and chirality-induced polarization distortion upon surface plasmon polariton excitation. Our results are relevant for the development of innovative chiroptical sensors capable of measuring the enantiomeric imbalance of chiral drug solutions with nl volume.
I. INTRODUCTION
Chiral sensing plays a key role in pharmaceutics because the specific enantiomeric form of drugs affects their functionality and toxicity.1 Current state-of-the-art techniques capable of measuring enantiomeric excess of chiral mixtures, e.g., nuclear magnetic resonance,2 gas chromatography3 and high performance liquid chromatography,4 provide advanced tools for drug safety, but are designed to operate with macroscopic drug volumes and are not suitable for real-time analysis and innovative lab-on-a-chip integration schemes. Photonic devices can potentially overcome such limitations, but technological advancement in this direction is hampered by the inherently weak chiroptical interaction, which requires ml volumes in order to attain sensitivity to the enantiomeric imbalance of chiral drug solutions through, e.g., polarimetry5 or electronic/vibrational circular dichroism (CD).6,7 Diverse approaches are currently investigated to enhance chiroptical interaction, as in particular ultrafast and nonlinear chiroptical spectroscopy techniques8–11 or the exploitation of superchiral fields12,13 that can be engineered via metasurfaces and nanophotonic structures.14–16 However, the actual exploitation of superchiral fields for novel chiral sensing schemes remains elusive, mainly because most of the experimental sensing demonstrations in literature rely on chiral nanoplasmonic subtrates. The major issue is that when a chiral sample is placed in the near-field of such nanostructures, the detected CD signal is contaminated by the chiroptical response of the nanostructure itself, which acts as a strong background noise and masks the weak chiroptical signal of the actual sample.17 It has to be noted that chiral drugs diluted in solutions are continuously deformed by the conformational fluctuations of the molecule in interaction with the solvent at finite temperature, modulating over time their chiroptical response. Concurring electric and magnetic resonances in nanostructures provide enhanced CD thanks to the dual enhancement of both electric and magnetic fields.18 While such schemes are promising for single molecule chiral discrimination, they are difficult to implement for extended drug solutions because CD enhancement is attained only at specific hot spots where electric and magnetic field lines are strong, parallel and π/2 shifted.17,18 Over a complementary direction, metal-based nanophotonic structures enable plasmon-enhanced CD spectroscopy,19 which has been predicted for isolated molecules,20 while it has been adopted mainly to characterise chiral nanoparticles.21–23
Here we predict that CD differential absorption (CDDA) by nl volumes of dilute drug solutions can get enhanced by a factor fCDDA ≃ 20 via the excitation of surface plasmon polaritons (SPPs) at a planar interface between a noble metal and the chiral sample. In particular, we focus on an isotropic assembly of reparixin (an inhibitor of the CXCR2 function attenuating inflammatory responses24 that has been adopted in clinical trials for the treatment of hospitalized patients with COVID-19 pneumonia25) dissolved in water with dilute number molecular density of the order nm−3 (corresponding to a concentration of 5 mg/ml), where indicate the number densities of R and S enantiomers, respectively. Because SPPs possess a momentum greater than the one of radiation in vacuum, their excitation requires a radiation momentum kick, which can be provided either by a grating26,27 or by a prism through attenuated total reflection in Kretschmann28 or Otto29 configurations. However, the adoption of gratings to excite SPPs modifies significantly the SPP dispersion,30 and in turn here we focus on silica prism coupling. We observe that CDDA ΔA = AR − AL upon right/left circular polarization excitation is proportional to the enantiomeric excess density , and in turn by measuring the CDDA it is possible to retrieve Δnmol. Furthermore, we observe that the maximum plasmon-induced CDDA enhancement factor fCDDA ≃ 20 is attained with silver in the Otto configuration, while other noble metals like gold and copper provide a smaller fCDDA. The vacuum wavelength (λ) dependence of all macroscopic optical parameters [dielectric permittivity ɛr(λ), magnetic permeability μr(λ) and chiral parameter κ(λ)] of the isotropic chiral mixture are calculated from first principles. This is accomplished by perturbatively solving the density matrix equations accounting for the leading electronic and vibrational absorption peaks and by averaging the obtained polarizability tensors over the random molecular orientation through the Euler rotaton matrix approach.31,32 We evaluate plasmon-enhanced CDDA ΔA by classical electrodynamics calculations accounting for (i) silica prism in the Otto and Kretschmann SPP coupling schemes, (ii) the macroscopic bi-anisotropic response of the chiral mixture, and (iii) the dielectric response of noble metals. Our predictions of efficient plasmon-enhanced CDDA by isotropic drug solutions of nl volume suggest novel avenues for integrated chiroptical sensing.
For the present study, it is necessary to make use of quantum molecular observables (i.e., electric and magnetic moments, electronic and vibrational excitation energies) evaluated for the solvated drug, i.e., aqueous reparixin in our calculations. This is not a trivial task because such quantum molecular observables should be perceived as genuinely quantum expectation values averaged (in statistical-mechanical terms) over a large number of reparaxin/solvent configurations. For this purpose we have adopted a combination of computational approaches, described to some extent in the supplementary material and briefly illustrated in Fig. 1. The adopted methods combine semi-classical Molecular Dynamics (MD) simulations (necessary for the reparaxin-solvent conformational sampling), quantum-chemical (QM) calculations and Perturbed Matrix Method (PMM)33–35 which, using the information obtained from MD simulations and QM calculations, provides the observables of interests expressed as ensemble averages. This approach is necessary for including in our model subtle but relevant effects produced by the semi-classical atomic-molecular motions (both reparaxin and water).
Step 1. MD simulation of reparaxin in water. Step 2. (2a) Conformational analysis of the trajectory from Step 1 through Essential Dynamics (see supplementary material). (2b) Extraction of the (four) reparaxin conformation states, representative of high-probability basins (see, Fig. 2), for TD-DFT calculations (in the gas-phase) aimed at obtaining the unperturbed basis-set, of size Ns, necessary for Step (3c). Step 3. (3a) For each reparaxin conformation state a further MD simulation is carried out with solute kept frozen and the solvent allowed to move. (3b) The electric field exerted by the solvent is evaluated onto the reparaxin center of mass at each frame of the trajectory of the previous section. (3c) The basis set obtained in the Step (2b) and the electric field from the Step (3b) Perturbed Matrix Method (see supplementary material) is applied for evaluating, at each frame of the trajectory of Step (3a), the instantaneous expectation value of interest (electric dipole, electronic energy, vibrational energy) or the instantaneous values of electric or magnetic transition moment. The latter are used to obtain the UV and/or CD spectrum, either electronic or vibrational. Step 4. According to the probability of conformation state basins, all the above observables (including the spectra), the observables - assuming an ergodic behaviour of the produced trajectories - are calculated as time-averages and represent ensemble averages.
Step 1. MD simulation of reparaxin in water. Step 2. (2a) Conformational analysis of the trajectory from Step 1 through Essential Dynamics (see supplementary material). (2b) Extraction of the (four) reparaxin conformation states, representative of high-probability basins (see, Fig. 2), for TD-DFT calculations (in the gas-phase) aimed at obtaining the unperturbed basis-set, of size Ns, necessary for Step (3c). Step 3. (3a) For each reparaxin conformation state a further MD simulation is carried out with solute kept frozen and the solvent allowed to move. (3b) The electric field exerted by the solvent is evaluated onto the reparaxin center of mass at each frame of the trajectory of the previous section. (3c) The basis set obtained in the Step (2b) and the electric field from the Step (3b) Perturbed Matrix Method (see supplementary material) is applied for evaluating, at each frame of the trajectory of Step (3a), the instantaneous expectation value of interest (electric dipole, electronic energy, vibrational energy) or the instantaneous values of electric or magnetic transition moment. The latter are used to obtain the UV and/or CD spectrum, either electronic or vibrational. Step 4. According to the probability of conformation state basins, all the above observables (including the spectra), the observables - assuming an ergodic behaviour of the produced trajectories - are calculated as time-averages and represent ensemble averages.
II. ELECTRONIC AND VIBRATIONAL STRUCTURE OF REPARIXIN IN WATER
(a) Calculated relative free-energy at T = 298 K of the reparixin pure S enantiomer (dissolved in water) through MD simulations followed by Essential Dynamics analysis (see supplementary material for details), indicating the co-existence of four distinct, statistically relevant conformation state basins bk, where k = 1 − 4. P1 and P2 represent the projections of the solvated reparaxin position vectors (sampled during the MD simulation) onto the eigenvectors of the all-atoms covariance matrix (see supplementary material for additional details). (b) Sketch of reparixin vibronic dynamics produced by a driving optical laser field in the electric/magnetic dipole approximation. (c) Temporal evolution of electronic transition dipole moduli |d1,2|, |m1,2|, and chiral projection |d1,2 · m1,2| (in atomic units) of a single reparixin molecule in the b1 conformation state calculated at each temporal frame (expressed in nanoseconds) of the MD simulation through PMM calculations (see supplementary material for additional details). We emphasize that the MD simulation box size is ≃3 nm lateral size and ≃27 nm3 volume, and is unrelated to the 100 nm thickness of the chiral sample used.
(a) Calculated relative free-energy at T = 298 K of the reparixin pure S enantiomer (dissolved in water) through MD simulations followed by Essential Dynamics analysis (see supplementary material for details), indicating the co-existence of four distinct, statistically relevant conformation state basins bk, where k = 1 − 4. P1 and P2 represent the projections of the solvated reparaxin position vectors (sampled during the MD simulation) onto the eigenvectors of the all-atoms covariance matrix (see supplementary material for additional details). (b) Sketch of reparixin vibronic dynamics produced by a driving optical laser field in the electric/magnetic dipole approximation. (c) Temporal evolution of electronic transition dipole moduli |d1,2|, |m1,2|, and chiral projection |d1,2 · m1,2| (in atomic units) of a single reparixin molecule in the b1 conformation state calculated at each temporal frame (expressed in nanoseconds) of the MD simulation through PMM calculations (see supplementary material for additional details). We emphasize that the MD simulation box size is ≃3 nm lateral size and ≃27 nm3 volume, and is unrelated to the 100 nm thickness of the chiral sample used.
III. MACROSCOPIC BI-ANISOTROPIC RESPONSE OF REPARIXIN IN WATER
Because the mixing polarizability flips sign for opposite enantiomers, , the chiral parameter is proportional to the enantiomeric number density imbalance . Hence, optical activity vanishes for racemic mixtures where . Note that accounts for both the dielectric permittivity of the solvent (water) 37 and the calculated correction produced by reparixin Δɛr(λ). In Figs. 3(a)–3(f) we illustrate the dependence of Δɛr(λ), κ(λ) and μr(λ) of a solution of pure S reparixin enantiomers dissolved in water over the molecular number density nmol and the vacuum wavelength of impinging radiation λ. Note that the chiroptical response of reparixin is affected by the tails of electronic (resonant at λ ≃ 250 nm) and vibrational transitions (resonant at λ ≃ 6 μm). The real part of ɛr(λ) is the leading contribution to the refractive index dispersion , which is dominated by the refractive index of water due to the dilute molecular number density 10−3 nm−3 < nmol < 10−1 nm−3, see Figs. 3(a) and 3(d). The chirally insensitive extinction coefficient is affected mainly by the imaginary part of ɛr(λ) and is also dominated by the absorption of water, see Figs. 3(a) and 3(d). The relative magnetic permeability μr(λ) arises from the reparixin magnetic response but is chirally insensitive and provides only a tiny correction to the mixture absorption and dispersion, see Figs. 3(b) and 3(e). The dependence of the complex dimensionless chiral parameter κ(λ) over vacuum wavelength λ and molecular number density nmol is depicted in Figs. 3(c) and 3(f). Note that the chiral parameter is responsible for the rotatory power (proportional to Re[κ(λ)]) and CD (proportional to Im[κ(λ)]), and is maximised at the electronic/vibrational resonances of reparixin.
(a)–(c) Vacuum wavelength λ and [(d)–(f)] number molecular density nmol dependencies of [(a) and (d)] relative dielectric permittivity correction Δɛr, [(b) and (e)] relative magnetic permeability correction μr − 1, and [(c) and (f)] chiral parameter κ of a water solution containing only the S enantiomer of reparixin for [(a)–(c)] fixed molecular number density nmol = 10−2 nm−3 and [(d)–(f)] fixed vacuum wavelength λ = 600 nm.
(a)–(c) Vacuum wavelength λ and [(d)–(f)] number molecular density nmol dependencies of [(a) and (d)] relative dielectric permittivity correction Δɛr, [(b) and (e)] relative magnetic permeability correction μr − 1, and [(c) and (f)] chiral parameter κ of a water solution containing only the S enantiomer of reparixin for [(a)–(c)] fixed molecular number density nmol = 10−2 nm−3 and [(d)–(f)] fixed vacuum wavelength λ = 600 nm.
IV. PLASMON-ENHANCED CD SPECTROSCOPY
(a) Schematic representation of plasmon-enhanced CD in the Otto configuration. The considered chiral sample is a solution of S and R reparixin enantiomers dissolved in water with molecular density nmol. [(b) and (c)] Dependence of (b) TM absorbance (for TM linear polarization excitation) and (c) CDDA ΔA(o)(θ, λ) = AR(θ, λ) − AL(θ, λ) (for circular polarization excitations) over the vacuum wavelength λ and the angle of incidence θ of the impinging radiation in the Otto coupling scheme illustrated in (a). The plots refer to a pure S reparixin enantiomer dissolved in water (with enantiomeric number density imbalance ). (d) Dependence of CDDA over the enantiomeric number density imbalance for several distinct incidence angles θ and fixed excitation vacuum wavelength λ = 800 nm. All plots are obtained for a silver substrate with dielectric constant ɛm(λ) (taken from Ref. 39), fixed solvate aqueous reparixin thickness d = 500 nm and fixed total molecular number density nmol = 10−2 nm−3. The dashed white curves in [(b) and (c)] indicate the SPP dispersion relation.
(a) Schematic representation of plasmon-enhanced CD in the Otto configuration. The considered chiral sample is a solution of S and R reparixin enantiomers dissolved in water with molecular density nmol. [(b) and (c)] Dependence of (b) TM absorbance (for TM linear polarization excitation) and (c) CDDA ΔA(o)(θ, λ) = AR(θ, λ) − AL(θ, λ) (for circular polarization excitations) over the vacuum wavelength λ and the angle of incidence θ of the impinging radiation in the Otto coupling scheme illustrated in (a). The plots refer to a pure S reparixin enantiomer dissolved in water (with enantiomeric number density imbalance ). (d) Dependence of CDDA over the enantiomeric number density imbalance for several distinct incidence angles θ and fixed excitation vacuum wavelength λ = 800 nm. All plots are obtained for a silver substrate with dielectric constant ɛm(λ) (taken from Ref. 39), fixed solvate aqueous reparixin thickness d = 500 nm and fixed total molecular number density nmol = 10−2 nm−3. The dashed white curves in [(b) and (c)] indicate the SPP dispersion relation.
V. DISCUSSION
Reflected polarization dynamics considering a silver substrate with dielectric constant ɛm(λ),39 vacuum wavelength λ = 700 nm, solvated aqueous reparixin with thickness d = 500 nm and total molecular number density nmol = 10−2 nm−3. (a) Evolution of the Stokes parameters as a function of incidence angle θ in the Poincaré sphere for right-circular impinging polarization and pure S solvated aqueous reparixin with enantiomeric number density imbalance . (b) and (c) Stokes parameters variation between pure S and pure R solvated aqueous reparixin upon (b) right-circular and (c) TM impinging polarization.
Reflected polarization dynamics considering a silver substrate with dielectric constant ɛm(λ),39 vacuum wavelength λ = 700 nm, solvated aqueous reparixin with thickness d = 500 nm and total molecular number density nmol = 10−2 nm−3. (a) Evolution of the Stokes parameters as a function of incidence angle θ in the Poincaré sphere for right-circular impinging polarization and pure S solvated aqueous reparixin with enantiomeric number density imbalance . (b) and (c) Stokes parameters variation between pure S and pure R solvated aqueous reparixin upon (b) right-circular and (c) TM impinging polarization.
(a) Schematic representation of plasmon-enhanced CD in the Kretschmann configuration. The considered chiral sample is a solution of S and R reparixin enantiomers dissolved in water with molecular density nmol. (b) and (c) Dependence of (b) TM absorbance ATM(θ, λ) and (c) CDDA ΔA(θ, λ) = AR(θ, λ) − AL(θ, λ) (for circular polarization excitation) over the vacuum wavelength λ and angle of incidence θ of the impinging radiation. Both plots are obtained for a silver thin film with thickness dm = 80 nm, dielectric constant ɛm(λ) (taken from Ref. 39) and a chiral medium with total molecular number density nmol = 10−2 nm−3 and enantiomeric number density imbalance . (d) Evolution of the Stokes parameters as a function of incidence angle θ in the Poincaré sphere for right-circular impinging polarization, pure S solvated aqueous reparixin with enantiomeric number density imbalance and impinging vacuum wavelength λ = 700 nm. (e) and (f) Stokes parameters variation between pure S and pure R solvated aqueous reparixin upon (e) right-circular and (f) TM impinging polarization for impinging vacuum wavelength λ = 700 nm.
(a) Schematic representation of plasmon-enhanced CD in the Kretschmann configuration. The considered chiral sample is a solution of S and R reparixin enantiomers dissolved in water with molecular density nmol. (b) and (c) Dependence of (b) TM absorbance ATM(θ, λ) and (c) CDDA ΔA(θ, λ) = AR(θ, λ) − AL(θ, λ) (for circular polarization excitation) over the vacuum wavelength λ and angle of incidence θ of the impinging radiation. Both plots are obtained for a silver thin film with thickness dm = 80 nm, dielectric constant ɛm(λ) (taken from Ref. 39) and a chiral medium with total molecular number density nmol = 10−2 nm−3 and enantiomeric number density imbalance . (d) Evolution of the Stokes parameters as a function of incidence angle θ in the Poincaré sphere for right-circular impinging polarization, pure S solvated aqueous reparixin with enantiomeric number density imbalance and impinging vacuum wavelength λ = 700 nm. (e) and (f) Stokes parameters variation between pure S and pure R solvated aqueous reparixin upon (e) right-circular and (f) TM impinging polarization for impinging vacuum wavelength λ = 700 nm.
In order to quantify the plasmon-induced CDDA enhancement, we define the factor fCDDA(λ) = maxθ|ΔA(o,k)(θ, λ)|/|ΔAbulk(λ)|, where is the absorbance of a layer of reparixin dissolved in water in the absence of the nanophotonic structure and . In Figs. 7(a)–7(c) we depict the vacuum wavelength dependence of the CDDA enhancement for silver, gold and copper interfaces in the Otto coupling scheme. Note that the maximum plasmon-induced CDDA enhancement fCDDA ≃ 20 is attained in the Otto configuration at λ ≃ 400 nm adopting silver as metal substrate, see Fig. 7(c). However, for λ > 500 nm, gold and copper provide CDDA enhancement factors fCDDA ≃ 5 comparable with silver. We emphasize that, by assuming metal substrate lateral dimensions of the order of 1 × 1 mm2, the considered chiroptical interaction volume is Vint ≲ 1 nl and the observed ≃10−6 CDDA can be readily measured using lock-in amplifiers. For the considered dilute molecular number density nmol ≃ 10−2 nm−3, we find that plasmon-enhanced CD spectroscopy is a viable chiroptical sensing platform able to discern ≲1013 R, S enantiomers in the considered Vint. We note that, in the considered Otto and Kretschmann coupling schemes, the transmitted intensity vanishes due to absorption because we assumed infinitely extended metal/chiral-sample for z > d, dm. However, in practical experimental realizations, the physical dimensions of the metal/chiral-sample is finite and the transmitted intensity is non-vanishing. In turn, experimentally, absorbance can be measured as A = 1 − IR/I0 − IT/I0, where IR,T,0 indicate the measured reflected (IR), transmitted (IT), and impinging (I0) intensities. CDDA can be in turn measured as the absorbance difference upon left/right impinging polarization. The dissymmetry factor can be measured as the CDDA divided by the averaged absorbance upon left and right impinging polarization. We emphasize that, while the CDDA is enhanced due to SPP excitation, the dissymmetry factor remains unaffected by the nanostructure. Indeed, the role played by SPPs lies in the enhancement of the local electric field enabling both higher averaged absorbance and higher CDDA, while maintaining their ratio (dissymmetry factor) unaffected. In turn, the proposed CD spectroscopic schemes are distinct from superchirality approaches12–16 aiming at enhancing the dissymmetry factor. Nevertheless, importantly the enhanced CDDA enables reducing the volume of the drug solution to be analysed, as illustrated above.
Plasmon-induced CDDA enhancement factor fCDDA(λ) = maxθ|ΔA(o,k)|/|ΔAbulk| in the Otto coupling scheme for (a) copper, (b) gold and (c) silver substrates. The physical parameters used are identical to the ones used in Figs. 4(a) and 4(b), except the metal type included in ɛm, obtained from Ref. 39 for all the considered noble metals.
Plasmon-induced CDDA enhancement factor fCDDA(λ) = maxθ|ΔA(o,k)|/|ΔAbulk| in the Otto coupling scheme for (a) copper, (b) gold and (c) silver substrates. The physical parameters used are identical to the ones used in Figs. 4(a) and 4(b), except the metal type included in ɛm, obtained from Ref. 39 for all the considered noble metals.
VI. CONCLUSIONS
We have investigated the potential of SPPs at interfaces between noble metals and a water solution of reparixin for plasmon-enhanced CD spectroscopy. The considered drug solution is composed of a realistic molecule adopted in clinical studies for patients with community-acquired pneumonia, including COVID-19 and acute respiratory distress syndrome. Our calculations of reparixin microscopic observables are based on MD simulations, TD-DFT and PMM simulations enabling the evaluation of time-averaged permanent and transition electric/magnetic dipole moments. Macroscopic optical parameters of the isotropic chiral mixture are calculated by perturbatively solving the density matrix equations. Our results indicate that SPP excitation enables plasmon-induced CDDA enhancement of the order fCDDA ≃ 20 of solutions with sub-nl volume. Our results are relevant for the development of innovative integrated schems for chiroptical sensing of drug solutions.
SUPPLEMENTARY MATERIAL
See the supplementary material for the theoretical details on the reparixin quantum observables calculations, the system of algebraic equations for field amplitudes in the Otto and Kretschmann configurations, and a MATLAB script for the calculation of the macroscopic bi-anisotropic response of reparixin dissolved in water.
ACKNOWLEDGMENTS
This work has been partially funded by the European Union - NextGenerationEU under the Italian Ministry of University and Research (MUR) National Innovation Ecosystem Grant No. ECS00000041 - VITALITY - CUP E13C22001060006, the Progetti di ricerca di Rilevante Interesse Nazionale (PRIN) of the Italian Ministry of Research PHOTO (PHOtonics Terahertz devices based on tOpological materials) Grant No. 2020RPEPNH, and the European Union under Grant Agreement No. 101046424. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Innovation Council. Neither the European Union nor the European Innovation Council can be held responsible for them.
The authors acknowledge fruitful discussions with Jens Biegert, Patrice Genevet, Michele Dipalo, Giovanni Melle, Sotirios Christodoulou, Anna Maria Cimini, and Domenico Bonanni.
AUTHOR DECLARATIONS
Conflict of Interest
The authors have no conflicts to disclose.
Author Contributions
Matteo Venturi: Data curation (equal); Formal analysis (equal); Investigation (equal); Methodology (equal); Software (equal); Visualization (equal); Writing – original draft (equal); Writing – review & editing (equal). Raju Adhikary: Data curation (equal); Formal analysis (equal); Investigation (equal); Methodology (supporting); Software (supporting); Visualization (supporting); Writing – original draft (supporting); Writing – review & editing (equal). Ambaresh Sahoo: Data curation (supporting); Formal analysis (equal); Investigation (equal); Methodology (supporting); Software (supporting); Visualization (lead); Writing –original draft (supporting); Writing – review & editing (equal). Carino Ferrante: Investigation (supporting); Methodology (supporting); Project administration (supporting); Supervision (supporting); Visualization (supporting); Writing – original draft (supporting); Writing – review & editing (equal). Isabella Daidone: Formal analysis (supporting); Investigation (supporting); Methodology (supporting); Resources (supporting); Software (supporting); Supervision (supporting); Writing – original draft (supporting); Writing – review & editing (equal). Francesco Di Stasio: Conceptualization (supporting); Funding acquisition (equal); Project administration (supporting); Writing – review & editing (equal). Andrea Toma: Conceptualization (supporting); Funding acquisition (equal); Project administration (supporting); Writing – review & editing (equal). Francesco Tani: Conceptualization (supporting); Funding acquisition (equal); Project administration (supporting); Writing – review & editing (equal). Hatice Altug: Conceptualization (supporting); Funding acquisition (equal); Project administration (supporting); Writing – review & editing (equal). Antonio Mecozzi: Formal analysis (supporting); Investigation (supporting); Methodology (supporting); Writing – review & editing (equal). Massimiliano Aschi: Data curation (supporting); Formal analysis (supporting); Investigation (supporting); Methodology (equal); Resources (lead); Software (lead); Supervision (equal); Writing – original draft (supporting); Writing – review & editing (equal). Andrea Marini: Conceptualization (lead); Formal analysis (equal); Funding acquisition (equal); Investigation (equal); Methodology (equal); Project administration (equal); Software (equal); Supervision (equal); Visualization (equal); Writing – original draft (equal); Writing – review & editing (equal).
DATA AVAILABILITY
The data that support the findings of this study are available within the article and its supplementary material.