Introduction

Favipiravir (6-fluoro-3-hydroxypyrazine-2-carboxamide) belongs to the class of fluorinated pyrazine carboxamides (Fig. 1) and is the main component of an antiviral drug that has been used in some countries for oral treatment of various RNA virus infections1, including COVID-19 and Ebola.

Figure 1
figure 1

Molecular structures and spin-selective chemical reaction pathways in liquid-state photo-CIDNP (modified after16). Left image: Molecular structures of riboflavin-5′-monophosphate (chromophore P) and of the fluorinated antiviral drug (hyperpolarizable target molecule Q). Right image: Simplified reaction pathways in liquid-state photo-CIDNP. Absorption of light (hν) generates an excited singlet state in P, which subsequently transitions via intersystem crossing (ISC) into a highly reactive molecular triplet state. This triplet attracts an electron from the donor Q thereby forming a spin-correlated radical pair (SCRP) with conserved electron spin symmetry. Due to the different Larmor frequencies of the two electrons, the SCRP oscillates between a triplet and a singlet state31. Hyperfine interactions and the difference of the Landé factors (Δg) of the electrons of the radical pair lead to spin sorting of the nuclear spin states which finally gives rise to a non-Boltzmann enrichment of the nuclear spins. The geminate recombination into the original educts can only take place from the singlet state of the SCRP. In the second pathway, the molecules split into free radicals (escape products) and diffuse apart from the solvent cage into the surrounding solvent. There, they recombine either into the original educts (bulk recombination) or they may form side products with other molecules X, Y. For more details see14,17,32.

19F, which is found in many pharmaceuticals, is of particular interest since no natural 19F is present in the human organism. Therefore, 19F provides a background-free marker for NMR and MRI2. However, the concentration of the corresponding marker molecules is often very low, and MR methods are quite insensitive compared to other molecular imaging techniques. The overarching goal of our project is therefore to research and establish new approaches to detect even very small amounts of 19F-containing biomarkers.

The main strategy to increase the SNR is applying higher magnetic fields (B0 field) to increase the so-called thermal (Boltzmann) polarization. The SNR is approximately a quadratic function of the magnetic field strength3 although other factors such as coil characteristics also play an important role. For clinical applications 7 T whole body MRI was recently introduced, and even higher magnetic fields are already available for human research MRI and experimental MRS4. However, in addition to being very expensive, ultra high field MRI also poses unique technical problems and altered relaxation times, all of which affect image contrast.

A completely different approach is to increase the spin population difference beyond the thermal Boltzmann distribution by hyperpolarization techniques, which can provide up to several orders of magnitude higher SNR5. There exist different hyperpolarization techniques such as dynamic nuclear polarization (DNP)5, spin exchange by optical pumping (SEOP)6, or para-hydrogen-based techniques such as standard para-hydrogen-induced polarization (PHIP)7 and signal amplification by reversible exchange (SABRE)8.

Interest in these techniques for biomedical applications was sparked by the demonstration that MRI signals could be significantly enhanced by hyperpolarization, allowing MRI- and MRS-based detection of the metabolism of tumor-related molecules such as pyruvate5,9,10. However, they typically require the removal of toxic substances involved in the hyperpolarization generation process, or complex, costly engineering facilities to thaw the substances hyperpolarized at just a few Kelvin and inject them within the hyperpolarization decay time (DNP). In addition, they require sophisticated experimental modifications if being used repetitively.

An alternative hyperpolarization technique is based on special spin-selective chemical reactions (chemically induced dynamic nuclear polarization, CIDNP), in which a spin-correlated electron radical pair is generated, which ultimately leads to a non-Boltzmann polarization of the target nucleus (Fig. 1). CIDNP was discovered 1967 independently by two groups11,12,13. If the initial radical is generated by irradiating a photo-sensitive molecule that builds a radical pair with the target molecule the technique is called photo-CIDNP. Photo-CIDNP can be used not only to hyperpolarize 1H14 but also 19F15,16,17 or other nuclei such as 13C18 or 15N19,20,21. As an advantage over other hyperpolarization methods such as DNP or PHIP/SABRE, photo-CIDNP can be performed in biologically compatible solutions. It is also a partially cyclic reaction, allowing many repetitions until the photo-sensitive chromophore is bleached (Fig. 1). Repeating measurements can serve to increase the SNR by signal averaging as well as to monitor the dynamic evolution of the system22. Replacing the potentially harmful lasers with high-power LEDs to excite the molecule not only reduces the cost of the experimental setup, but also makes it extremely safe to operate in normal laboratory or medical settings23,24. Photo-CIDNP has long been applied to biomedical important model systems such as amino-acids and 19F-labeled proteins17,25,26,27. The magnetic field dependent spin dynamics of light-induced radical pairs in retinal cryptochrome flavoproteins could even explain the magnetic sense of some migratory birds28.

So far, however, only a few spatially resolved measurements based on photo-CIDNP have been reported15,16,29,30. Recently we showed that at 0.6 T the field-dependent CIDNP-effect is strong enough and the lifetime of the hyperpolarization is sufficiently long to allow performing 19F MRI. In that study, we investigated a biocompatible aqueous solution containing 3-fluoro-tyrosine and riboflavin-5′-monophosphate as a chromophore16.

In this proof-of-principle study we investigated a fully biocompatible model of an aqueous solution of the fluorinated antiviral drug favipiravir as the target molecule with riboflavin-5ʹ-monophosphate (FMN) as a chromophore (Fig. 1). As in a previous study, the experimental setup not only allows 19F and 1H MRI but also NMR-spectroscopic measurements including the simultaneous data acquisition of both 1H and 19F. Further technical details on the experimental setup can be found in16 and in the discussion section below.

Results

1H and 19F MRI

The capability to observe 1H and 19F signals simultaneously allowed a quick and reliable adjustment of the sequence parameters and illumination power to optimize data acquisition both for spectroscopy and MRI (see methods section and Fig. 2). The 1H images (Fig. 2a and b) were used to verify fiber and sample positioning. They were acquired with a higher resolution than the 19F images. The excellent spatial resolution is evident from the clear delineation of the fiber tip within the sample, even though the 19F coil exhibits only 15% sensitivity at the 1H Larmor frequency compared to the 19F frequency.

Figure 2
figure 2

Two-dimensional Turbo spin echo (2D-TSE) 1H and 19F MRI. (a, b) High-resolution 1H images of the sample (one average, matrix size 32 × 32, TE 6 ms, phase-oversampling (PhOS) factor 8, read-oversampling factor 2, field-of-view (FoV) 15 × 15 mm2, one slice covering the whole sample, data fourfold zero-filled). The central signal decrease reflects the position of the fiber. Due to the two-dimensional acquisition technique, the image represents a projection along the direction orthogonal to the displayed plane. a1H image, axial view, b1H image, coronal view. (c, d) 19F images without (c) and after 4 s of illumination (d) (one average, axial view, matrix size 8 × 8, FoV 15 × 15 mm2, one slice covering the whole sample, PhOS 4, Turbo factor (TF) 32, zero-filling factor 4). Without illumination, only noise can be seen, while after illumination the signal is clearly visible in the center of the image.

No signal was seen in 19F MRI when the sample was not illuminated (Fig. 2c). This changes dramatically after illumination of the sample. A spatially localized signal is now clearly visible (Fig. 2d). We started with a low-resolution image as the approximate spatial position and strength signal can be estimated after just one measurement. The one-shot measurement also minimizes potential light-induced damage to the chromophore.

In the next step, we increased the resolution by reducing the field of view and increasing the image matrix (Fig. 3; the matrix size was changed to odd numbers to allow the positioning of the fiber tip in the center of the sample). Images were oversampled in read-out and in phase-encoding directions, the latter increasing the acquisition time by the factor of phase-encoding oversampling which for short T2-values may lead to signal loss in the acquisition of late echoes (see discussion section). Increasing the resolution resulted in more detail, but also increased the noise, if the number of averages is increased (see Table 1).

Figure 3
figure 3

Examples of different spatial distributions of 19F hyperpolarization of favipiravir with varying resolution and number of acquired k-space lines (Coronal 2D-TSE, FoV 9 × 9 mm2, slice thickness 9 mm, PhOS 4, TE 4 ms, TR 4 s). (ad) gray value images (zero-filling factor 4). (a) matrix 9 × 9, 8 averages, TF 36; (b) matrix 17 × 17, 16 averages, TF 68, PhOS 4; (c) matrix size 17 × 17, 16 averages, TF 17; (d) matrix size 23 × 23, 16 averages, TF 46. (eh) Corresponding non-zero-filled images showing the varying degree of hyperpolarization in original resolution. The colors correspond to the measured values in μV displayed in each image (red/blue: highest/lowest signal, cf. Fig. 6). Figure 3b/f and c/g have identical resolution but Fig. 3b/f was acquired using one measurement cycle covering the whole k-space while figure c/g was acquired using four cycles each covering a quarter of the four-fold oversampled k-space. Figure 3d/h was acquired using two acquisition cycles (acquisition of one cycle required a new illumination; see text for details).

Table 1 Image acquisition parameters, measured values of noise as well as the signal and SNR of the totally illuminated area (Stotal), and the segmented high intensity (Shigh) and low intensity parts (Slow) (cf. Figure 3). The fourth row presents the time required for acquiring the number of k-space lines after one block of illumination. All images were acquired with a FoV of 9 × 9 mm2 (cf. Figure 3) and a four-fold oversampling, i.e. four-fold number of k-space lines as compared to the actual resolution. The first two echoes of each echo train were not used for image encoding to reduce the impact of B0 and B1 artifacts.

We then applied the segmented TSE method by acquiring multiple shorter echo trains (here: four echo trains) to test whether finer details could be displayed with a higher amplitude. Figure 3c shows more details, however, not only the 90° pulse had to be repeated four times but also the preceding irradiation. The SNR of the single images was too low to show the 19F signal unambiguously, but averaging led to a clear depiction of the illuminated area. As routinely used in clinical diagnosis the grey-valued images in Fig. 3a–d are zero-filled resulting in a finer resolution. The original image resolution is shown in Fig. 3e–h, whith color-coding supporting the visual inspection of the spatial distribution of the hyperpolarization.

Compared to our previous study on 19F tyrosine16, we did not acquire images of non-illuminated favipiravir as this would have required also a long acquisition time similar to the long-term acquisition of non-illuminated spectra, where the substance showed signs of structural changes after being in the magnet for many hours (see discussion section and SI).

Acquisition parameters, mean signals and SNR of the different parts of the illuminated area for data of Fig. 3 are summarized in Table 1. Values were determined using a histogram-based segmentation procedure (see Fig. 6). While the absolute signals were comparable between Fig. 3c/g and d/h for both the central part I1 with the strongest hyperpolarization and the peripheral part I2, the background noise is higher at increased resolution. The influence of signal loss due to T2 was reduced in Fig. 3c/g as the time for acquiring a part of k-space after illumination was shorter than in the other images. This was due to the four-fold segmentation of the image acquisition and the according four-fold illumination of the sample. For further effects to be considered see discussion section. Thus, Fig. 3c/g exhibited a high SNR at medium-high resolution.

19F MR spectroscopy, relaxation times and estimation of signal enhancement

Spectroscopic measurements served to estimate the initial hyperpolarization of the sample, the relaxation times, and the signal enhancement (SE). As a first estimation of the degree of hyperpolarization, we used the standard procedure of acquiring spectra with and without illumination. Typical measurements are shown in Fig. 4a and b. Without illumination, several thousand acquisitions were required (measurement time 341 min) to achieve an acceptable SNR, while hyperpolarized spectra required only one to a few data acquisitions depending on the spectral resolution (measurement time 5.3 min in Fig. 4b). Thus, hyperpolarization resulted in this example in a 64-fold reduction in data acquisition time while simultaneously increasing the signal amplitude by approximately 20-fold.

Figure 4
figure 4

LED-induced signal enhancement of favipiravir in H2O (phase-corrected real part of spectrum). (a) Non-hyperpolarized favipiravir (2048 averages, TR 10 s, FID acquisition time 250 ms); (b) Hyperpolarized favipiravir (4 s illumination, 32 averages, TR 10 s, FID acquisition time 250 ms). (c) High-resolution spectrum of hyperpolarized favipiravir (128 averages, 4 s illumination, TR 10 s, FID acquisition time 2 s).

Because the low-resolution hyperpolarized spectra showed evidence that the 19F resonance line might have an additional substructure, we acquired a higher-resolution spectrum (Fig. 4c). The clearly resolvable doublet is due to J-coupling between the 19F and the neighboring 1H nucleus with J = 8.4 Hz. However, due to the longer acquisition time, the resulting increased noise required significantly more averaging to achieve a good SNR. This acquisition scheme is therefore not suitable for acquiring a large number of spectroscopic measurements due to increasing potential bleaching effects.

We then determined the T1-relaxation time from the decay of the hyperpolarization as a function of the delay between illumination and acquiring the FID leading to a T1 of about 6 s (Fig. 5a). The transversal lifetime of the hyperpolarization was determined using a Carr-Purcell-Meibohm-Gill (CPMG) pulse sequence leading to a T2-relaxation time of about 160 ms (Fig. 5b). The T2* times of 1H and and hyperpolarized 19F were in the range of 32 ms (Fig. SI 2).

Figure 5
figure 5

Relaxation times of 19F in favipiravir. (a) Lifetime (T1-relaxation) of hyperpolarized 19F as a function of the delay after illuminating the sample for 6 s (repetition time TR kept constant at 20 s). Each spectroscopic data set was acquired four times and then averaged except for two longest delay times (eight acquisitions to increase the SNR by averaging). The blue line depicts the mono-exponential fit with a half lifetime of (5.8 ± 0.6) s. (b) T2-relaxation measured using a CPMG sequence and acquiring 100 echoes with TE = 6 ms, TR = 20 s (illumination time 4 s). 32 data sets were averaged. T2 was determined with a mono-exponential fit to (159 ± 8.8) ms (blue line).

To determine the SE of 19F, it has to be taken into account that the sample is inhomogeneously illuminated preventing a simple comparison of the spectra with and without illumination: the signal of the non-illuminated spectrum originates from the entire volume, while the signal after illumination comes from a much smaller volume. Therefore, we included image-based information to estimate the mean SE. The resolution of the digitized image makes it difficult to precisely analyze the distribution of the hyperpolarized volume especially in the border zones exhibiting partial volume effects. In a first rather crude approximation, we estimated two partial volumes V1,2 exhibiting a clearly delineated high and low mean degree of hyperpolarization. The extensions of the hyperpolarized regions were determined using a histogram-based approach (Fig. 6a and b) by manually adjusting the thresholds for the intensities to exclude noisy as well as partial volume voxels resulting in a somewhat higher mean intensity for the peripheral parts. I1 and I2 were then determined by averaging the values in each partial volume. Although the 2D imaging technique results in a rectangular volume where the intensities have been projected onto the image plane, the signals come only from smaller volumes that we assumed to be rotationally symmetric. The spatial distribution ρ(x,y,z) of the hyperpolarization can then be approximated as follows, where heights (h1, h2) and diameters (d1, d2) of the cylinders were determined from the transversal plane (Fig. 6c):

$$\rho \left( {x,y,z} \right) = \left\{ {\begin{array}{*{20}l} {I_{1} ,} \hfill & {\quad x_{1} ,y_{1} ,z_{1} \in V_{1 } } \hfill \\ {I_{2} ,} \hfill & {\quad x_{2} ,y_{2} ,z_{2} \in V_{2 } } \hfill \\ 0 \hfill & {\quad elsewhere} \hfill \\ \end{array} } \right.,\quad V_{1} = { }h_{1} \left( {\frac{{d_{1} }}{2}} \right)^{2} ,\quad V_{2} = { }h_{2} \left( {\frac{{d_{2} }}{2}} \right)^{2} - V_{1}$$
(1)
Figure 6
figure 6

Spatial distribution of the 19F hyperpolarization of favipiravir (compare Fig. 3d and h). (a) Histogram of the intensities color-encoded in Fig. 3h, 6b (dashed lines symbolize cut-offs of image values). (b) Threshold image (compare Fig. 3h) to determine the spatial distribution of the degree of hyperpolarization (colors encode for the signal in V). (c) Schematic view of the fiber, the volume V1 with high mean intensity I1 and the volume V2 with low mean intensity I2.

In the selected image, each quadratic pixel had a size of (0.39 mm)2, i.e., FoV/matrix size leading to d1 = 0.78 mm, h1 = 0.78 mm, and d2 = 1.56 mm, h2 = 4.29 mm. Making the assumption that the illumination from the cylindrical fiber has rotational symmetry, the resulting cylindrical volumes were then approximately V1 = 0.37 μL and V2 = (8.2–0.37) μL = 7.83 μL. The used phase encoding scheme (center-out) leads to a reduced amplitude at higher phase encoding steps (T2 effect). This leads to a similar effect to k-space filters that are typically used to reduce Gibbs ringing. Because of this, the apparent illuminated region detected in the images might be larger in phase encoding direction than the actually illuminated region.

The mean intensity I2 was determined to approximately 70% of the mean intensity I1. We assumed that each signal (hyperpolarized and non-hyperpolarized) is proportional to the number of hyperpolarized (Nhyp) and non-hyperpolarized (Ntotal) favipiravir molecules, which in turn is proportional to the volumes of the corresponding regions. The number of hyperpolarized molecules Nhyp was therefore estimated (where α denotes an unknown constant of proportionality) to

$$N_{hyp} = \alpha\left( {V_{1} + 0.{7} \cdot V_{2} } \right)$$
(2)

To determinate the mean SE factor, the signal of the non-illuminated sample which results from a much larger volume of 600 μL must therefore be scaled down by a correction factor that considers the smaller illuminated volume:

$$F_{CORR} = N_{{hy{\text{p}}}} {/}N_{total} = \left( {V_{1} + \, 0.{7}V_{2} } \right)/V_{{{\text{total}}}} = {5}.{85/6}00 = 0.00{98}$$
(3)

The phase-corrected real part of the 19F spectra with (ILED_ON) and without illumination (ILED_OFF) (Fig. 4a, b) was integrated over a range of 60–75 Hz (where the signals approached the baseline).

This led to ILED _ON = 89.72·10–9 VHz and ILED _OFF = 5.487·10–9 VHz. The mean SE was estimated considering the correction factor:

$${\text{SE}} = I_{LED\_ON} /I_{LED\_OFF} /F_{CORR} = {16}.{37}/0.00{98} = {167}0.$$
(4)

To estimate the minimum amount of hyperpolarized substance seen in Fig. 6b, we assumed that the most peripheral parts of the cylindrical volume V2 represent the projection of 2–3 cubic voxels. With a volume of 0.06 μL per voxel, this would correspond to less than 331–496 pmol of hyperpolarized favipiravir.

Discussion

Several main results were obtained in this study: first, it was shown that the background-free 19F nucleus of the drug favipiravir, already used for anti-viral treatment in humans, could be hyperpolarized using an easy-to-apply and inexpensive experimental setup. Photo-CIDNP allowed to combine the light-induced signal amplification with standard NMR signal averaging on the same sample without adding new substances, and thus increasing the SNR as compared to single image acquisition. Second, the photo-CIDNP effect was large enough at 0.6 T to allow 19F MRI of favipiravir with a sub-mm resolution. Additionally, T1 and T2 relaxation times of hyperpolarized 19F in favipiravir could be determined. Third, the minimal amount of hyperpolrazed 19F detectable on MRI was about 500 pmol or less per voxel. Taken together, these results provide a major step towards significantly increasing the sensitivity of MRI and making it more applicable for molecular imaging techniques. Favipiravir is a very interesting molecule as it contains a pyrazine moiety. It can therefore also be hyperpolarized using para-hydrogen-based techniques. 1H hyperpolarization of favipiravir was recently reported by Jeong et al.33. In contrast to our approach, they used SABRE to hyperpolarize Favipiravir. However, they did not investigate a transfer of the 1H hyperpolarization to the 19F nucleus. Additionally, SABRE requires dissolving the drug in an organic solvent together with an Iridium-based catalyst, both of which are toxic. Therefore, this concept cannot be easily transferred to living organisms, as it would require rapid and complete removal of these substances before being applied. However, both techniques might be used in a complementary manner to analyze the different molecular mechanisms underlying generation and transfer of hyperpolarization between different nuclei.

It is important to note that the CIDNP effect depends not only on the substances used but also on the applied magnetic field. 1H photo-CIDNP of amino acids and other substances was analyzed over a large range of near-earth magnetic field up to 7 T25,34. The working group of Hore et al. optimized 19F photo-CIDNP experiments including 19F-labeled proteins. Kuprov et al. developed a very detailed theoretical analysis including relaxation and diffusion during the process of the hyperpolarization of 3-fluoro-tyrosine17. Our results show that 19F photo-CIDNP can be used also at magnetic fields of 0.6 T which is the typical range of benchtop NMR/MRI.

Although our experimental setup is optimized for imaging, the ability to acquire spectra from different nuclei simultaneously with a sufficient resolution proved to be very beneficial in optimizing signal acquisition. One can immediately check the signal strength of both nuclei as well as the SNR and the position of the resonance lines (Fig. 9, Fig. SI 2). The dual-core option also allows for the compensation for Larmor frequency fluctuations (due to residual minimal magnet temperature fluctuations) without the need to adding a reference substance. The prerequisite is that one of the substances of the system (solvent/chromophore/target molecule) exhibits a sufficient SNR in each individual measurement to serve for internal locking. Here, the 1H nucleus of the solvent (H2O) was used to post-process both the 1H and 19F spectra by correcting the phase drift prior to signal averaging. Thus, even non-illuminated 19F spectra could be acquired, which served as a reference for the determination of the mean SE (s. below). For more technical details see16.

The hyperpolarized spectrum could be further resolved by extending the acquisition time of the FID four-fold. The spectrum showed a doublet (Fig. 4c) in which the difference of the two resonance lines was 8.5 Hz, giving the J-coupling between the 19F and the vicinal proton of the aromatic ring system. However, this increased resolution was not used for the standard protocol because the increased noise contribution would have required more averaging, resulting in longer total acquisition time and higher total illumination time, which in turn would have resulted in faster bleaching of the chromophore. We also refrained from acquiring routinely non-irradiated spectra with a higher resolution, since the standard protocol already required several thousand averages in which additional chemical reactions occurred.

Accelerating the data acquisition for MRI required a trade-off between fast measurements with low spatial resolution and longer-duration data acquisitions needed to resolve the spatial distribution of the hyperpolarization in more detail, which is required for biomedical applications. For the mere detection and approximate localization of the substance, rapid acquisition of low-resolution images may be sufficient. These might also be used to monitor the dynamics of a target molecule in terms of both localization and metabolism35. However, increasing the resolution increases the time required for averaging. The time scale is also determined by substance-specific parameters such as relaxation times, sequence-specific parameters such as pulse angle, gradient duration, recording principles36, and the illumination time. The fast spin-echo MRI technique, widely used in routine medical MRI, also allowed to acquire a full low-resolution image within 4 s which was mainly due to the duration of the illumination time. The repetition time of 4 s is somewhat short compared to T1 and decreases the maximum achievable signal but was chosen to render the overall image acquisition not too long when acquiring many averages. However, in the future, we will also investigate whether faster sequences and shorter light exposure times with increased irradiation power can lead to acceptable images36.

Another limiting factor in fast spin-echo imaging is the T2 relaxation of the hyperpolarization, which determines the number of echoes that can be acquired with sufficient SNR. While smaller image matrices can be fully acquired after only one 90° pulse (e.g. Figure 3a), higher resolution usually requires segmented acquisition each preceded by a time intervall required for illumination in order to regenerate the hyperpolarization again. Figure 3b and c show the differences of recording all phase-encoded rows of the oversampled raw data matrices in the so-called k-space after one irradiation (Fig. 3b) compared to acquiring only a quarter of the raw data matrix before generating new hyperpolarization again (Fig. 3c). With a T2-relaxation of about 160 ms the signal was still high enough to acquire the full image in one shot (Fig. 3b) (please note that image encoding started at the center of the k-space). The SNR of the segmented image is about 50% higher than that of the non-segmented image (both having the same anumber of averages). However, this gain in SNR comes with an approximately four-fold longer acquisition and irradiation time. The latter ultimately leads to a faster bleaching of the sample.

The ordering of the phase-encoded rows in the k-space matrix prior to Fourier-transforming also influences the image contrast. Roughly speaking, the inner part of the k-space determines the brightness and the outer part determines the finer details of the image after Fourier transformation. Here we have chosen an order starting in the center of the k-space favoring overall SNR over image details. Finer details can be degraded due to the reduced signal when encoding the outer parts of k-space later in the echo train. This is seen by comparing Fig. 3b and c. In the latter figure, the central (I1) and peripheral regions (I2) appear better differentiated and exhibit a higher SNR than in Fig. 3b. In the former figure, the time for acquiring the image is almost twice of the T2 time. Thus, the signal has significantly decayed when acquiring the higher frequencies. This may lead to a blurring effect in phase-encoding direction which could lead to an apparently larger hyperpolarized volume. However, new technical solutions may be required as the standard strategy of increasing the SNR by increasing the number of averages and/or increasing the irradiation power is hampered by the inevitable chromophore bleaching and possible accumulation of by-products. We found that these effects became evident after several hundred irradiation cycles.

With the help of the complementary information from spectroscopy and imaging, the mean SE factor and the heterogeneous distribution of the hyperpolarization degree could be estimated. In most photo-CIDNP experiments, great efforts are made to ensure homogeneous illumination37,38, but studying biomedical samples will inevitably lead to an inhomogeneous distribution of the degree of hyperpolarization, since these samples are usually quite heterogeneous. The estimate of the mean SE should be currently seen as a first approximation, since we only reached about 80% of the maximum hyperpolarization as a compromise between irradiation duration and bleaching (Fig. SI 1). The estimated value of SE may also be smaller because the correction factor depends on the hyperpolarized volume which may be larger if including partial volume voxel. However, compared to the region depicted in Fig. 6b partial volume voxels were rather scattered and therefore excluded. T2-blurring may lead to overestimating the true distribution thus leading to a contrary effect. To account for these uncertainties that require more systematic experiments SE is estimated being in the order of 103. Another factor was that the FMN concentration was much lower than the concentration of favipiravir. One molecule of the chromophore thus corresponded to about ten molecules of favipiravir. It can be speculated, that the number of favipiravir molecules could be significantly reduced before the hyperpolarized signal decreases significantly. Indications of this effect can actually be seen in Fig. SI 3. The SE per molecule could therefore be higher than estimated here.

However, the SE measured here still enabled the clear detection of hyperpolarized 19F even in high-resolution MRI data, with lower limits of < 500 pmol amounts of favipiravir per voxel. With the exception of a few spatially resolved photo-CIDNP studies15,16,29 signal amplification due to photo-CIDNP is usually reported from spectroscopic measurements with concentrations of the hyperpolarizable substance between 2 mM and 4 mM. Since the spectroscopic signal comes from the entire sample, efforts are made to illuminate the entire sample as uniformly as possible37,38.

Recent developments in LED-based Low Concentration (LC)-photo-CIDNP were in the range of 1 μM39 or lower. Yang et al.24 used 500 nM of the amino acid tryptophan in their fast-pulsing LED-enhanced NMR experiments. Three years later they reported the detection of only 20 nM tryptophan when acquiring an LED-irradiated enhanced signal of a proton in a side chain in tryptophan (Trp-α-13C-β,β,2,4,5,6,7-d7)19. Most of these studies have been performed with molecules containing aromatic systems with a hydroxy group such as tyrosine, or with tryptophan, which also contains nitrogen in a second ring system. Recently, Mompeán et al. reported sub-pmol detection sensitivity using a microcoil setup at 9.4 T to acquire a photo-CIDNP-enhanced 19F signal of 0.8 μM amount of p-fluorophenole (concentration 2.758 mM) in a detection volume of 1 μL40.

Compared to spectroscopic measurements, MRI measurements offer the opportunity to directly detecting regions with different degrees of hyperpolarization and thus potentially reducing the detection limit without special hardware. Lower degrees of hyperpolarization can either be due to lower amounts of substance or reduced light intensity, as seen in the peripheral parts of the light cone in our experiment. In comparison to a previous 19F hyperpolarized MRI study16 we investigated a heteronuclear system here. Favipiravir is a pyrazine carboxamide and contains two nitrogen atoms, and a hydroxy group is substituted to this heteroaromatic system. Compared to 3-fluoro-tyrosine previously studied by our group, the hydroxy group and the fluorine nuclei in favipiravir have a larger distance. In addition, there are fewer 1H and 19F couplings. Therefore, the hyperpolarization in favipiravir may be less distributed within the molecule and be more efficiently transferred to the 19F nucleus, which in turn may be one potential cause for the lower SE in 3-fluoro-tyrosine. Interestingly, the structural similarity of the hetero-aromatic ring in favipiravir to the middle part of riboflavin is immediately apparent32. Wörner et al. published photo-CIDNP measurements for non-classical disproportionation41. The effect of charge redistribution within the molecule is reflected in the hyperpolarizability of these systems. Further studies to analyze potential mechanisms will be necessary.

As further difference from our 3-fluoro-tyrosine study, we found that favipiravir changed much faster when left in the magnet at 303 K for several days (which is necessary to acquire several non-illuminated 19F spectra with sufficient SNR). While 3-fluoro-tyrosine remained stable for several days16, favipiravir showed an additional 19F signal in the non-illuminated spectra just after one day, while the hyperpolarized 19F spectra remained largely constant for the first four days (Fig. SI 3f). This additional 19F signal, which is shifted to lower frequencies by approximately 1 kHz (44 ppm) relative to the native 19F favipiravir signal (see SI) did not appear in the hyperpolarized spectra meaning that this substance might not be hyperpolarizable (Fig. SI 3).

Although for technical reasons we have not yet been able to precisely determine the molecular structure of the unknown substance, it might be assumed that the additional signal originates from one of the numerous isomeric structures of favipiravir. This molecule has two protonatable nitrogen nuclei in the ring system and the OH group, which can be converted into a ketone group by rearrangement (Fig. 7). It was shown that nine isomers can be formed under different conditions (pH values)42. Theoretical calculations of the transitions between the tautomeric forms were published by43. Due to the high sensitivity of the 19F nucleus to chemical shifts, any structural molecular change affects the position of the one fluorine signal. However, SE in the photo-CIDNP measurements are only expected for the N-heteroaromatic systems that have both a conjugated double bond system and a hydroxyl group. Thus, the detected signal, which was enhanced at neutral pH, can be unequivocally assigned to the enol form.

Figure 7
figure 7

Enol and ketone tautomers of favipiravir. The 19F of the enol form used for the experiment was hyperpolarizable due to the N-heteroaromatic ring system and the OH group. The 19F of the ketone form showed no detectable hyperpolarization (Fig. SI 3).

The results presented here show how new strategies may allow MR-based techniques to close the gap to other molecular imaging techniques. An interesting approach may be represented by combining photo-CIDNP MR spectroscopy with optical spectroscopy in the ps- and ns-time domain44, which allows the analysis of the rapidly occurring primary radical pair reactions. Future experiments will also include 3D imaging sequences to obtain full spatial information about the hyperpolarization distribution. However, this requires additional time-consuming optimization of the TSE sequence in terms of irradiation timing, excitation and refocusing pulses, segmented acquisition, etc., and was therefore outside the scope of this study.

Several limiting factors of this study have to be mentioned: (a) The effects of longer illumination with longer measurement schemes lead to chromophore bleaching, which ultimately prevents the sample from being optimally hyperpolarized and thereby limits the increase in spatial resolution. Potentially phototoxic side products can also limit biomedical applications45. (b) The results for the T1 and T2 measurements should be seen as preliminary. Here, more experiments are necessary to analyze potential dependencies on concentration of chromophores and target molecules, pH, temperature, and chromophore status (fresh vs. partially bleached). (c) A more unambiguous determination of the three-dimensional distribution of the hyperpolarization requires 3D measurements. However, 3D measurements are more time-consuming and require optimization of data acquisition or the use of other fast sequences36.

In summary, unlike other hyperpolarization techniques, photo-CIDNP offers the possibility to hyperpolarize fully biocompatible model systems. The experimental setup used here also provided additional information about the relaxation times of 19F hyperpolarization in favipiravir at 0.6 T. The same strategy may be used for other substances and other nuclei38,46,47,48,49,50 such as 31P, 13C, and 15N as well because appropriate coils are available. In particular, combining MRI and dual-core spectroscopy can provide new results about hyperpolarization transfer between different nuclei and may offer complementary results to standard high-field spectroscopy and MRI.

Methods

Favipiravir (6-fluoro-3-hydroxypyrazine-2-carboxamide, c = 2.758 mM, (purchased from abcr GmbH, Germany) and riboflavin-5ʹ-monophosphate (FMN) sodium salt hydrate (c = 0.279 mM, purchased from Sigma Aldrich) were dissolved in 600 µL H2Odest and filled into a 10 mm diameter NMR glass tube (Fig. 8). A low-cost high-power blue-light LED (CREE XP-E, high-power LED 455 nm) was used for photoexcitation of riboflavin. The light was coupled into an optical fiber (THORLABS, Ø1000 μm Core Multimode Fiber, Low OH). The light intensity, measured at the tip of the fiber, was typically 6 mW. For positioning of the glass fiber, a home-made 3D-printed cylinder with a central hole of about 1 mm was inserted into the glass tube (Fig. 8).

Figure 8
figure 8

Experimental setup. Left image: Tabletop MRI with magnet, controller, small preamplifier and laptop. Right image: NMR tube with fiber positioned in pure H2O containing FMN and favipiravir.

19F and 1H spectroscopic and imaging experiments were performed with a tabletop low-field permanent magnet (0.58 T, Pure Devices GmbH, Wuerzburg, Germany) using a broadband 19F coil that allowed the detection of both 1H and 19F signals. The setup was controlled by a MATLAB-based software environment provided by the vendor. Compared to our previous study16 we improved the SNR by an approximate factor of 7 by inserting a broadband preamplifier with approximately 22 dB amplification (Pure Devices GmbH, Wuerzburg, Germany). Data acquisition and technical details are described in more detail in16.

A 2D fast TSE sequence was used both for 1H and 19F MRI51. Unless otherwise specified, a gauss-shaped pulse (duration about 40 μs) was used for the 90° excitation RF pulse, with TE = 4 ms, TR = 4 s, and a four-fold read- and phase-encoding oversampling. With TSE methods36,51, several k-space rows with varying phase-encoding are acquired after the irradiation of a 90° pulse (TF indicates the corresponding number of rows, Fig. 9). TF could be varied from the total number of phase-encoded k-space rows (including phase-oversampling) to smaller values. In the latter case, several 90° pulses and illumination blocks are necessary prior to the acquisition of each echo train with a subset of rows in the k-space matrix. This may be necessary if the lifetime of the hyperpolarization is less than the time required to acquire all k-space rows at once. Duration and onset of the illumination was triggered from the MATLAB-based sequence. Data were usually four-fold oversampled in phase- and in read-encoding direction, which resulted in a four-times-four-fold increased raw data matrix. The oversampling in phase-encoding direction accordingly prolonged the acquisition time. Phase-encoding started from the center of the raw data matrix, i.e., at the center of the k-space.

Figure 9
figure 9

Photo-CIDNP MRI and dual core spectroscopy. (a) Data acquisition schemes. (1) Spectroscopy: the sample is illuminated for Δt seconds and the free induction decay (FID) is acquired immediately. (2) Scheme to determine T1-relaxation using a variable delay time between illumination and FID acquisition. (3) TSE MRI: n1 phase-encoded echoes (i.e. rows of the raw data matrix) are acquired after one 90° pulse preceded by one illumination block of Δt seconds duration. (4) Segmented TSE MRI: each of the n3 acquired echo trains fills n2 rows in the raw data matrix in the k-space. Filling the complete matrix requires n3 new excitation pulses and illumination blocks until the entire data matrix is filled. Each echo decays with T2* while the envelope of the echo amplitudes declines with T2. Therefore, T2 of the signal must be long enough to allow to acquire n1 respectively n2 echoes after each excitation with sufficient SNR. (b) Dual core spectroscopy (one data acquisition). Upper subpanel: signal after illumination (red: 19F signal, blue: 1H signal, y-axis plotted logarithmically). Left lower subpanels: 1H channel (with and without illumination). Right lower subpanels: 19F channel. After 15 s illumination prior to data acquisition, the 19F signal (upper panel) is clearly recognizable while without illumination the SNR was too low to detect the 19F signal (lower panel).

The amplitudes of the 1H signals remain rather constant, regardless of whether the sample is illuminated or not, since the 1H signals originate almost entirely from the solvent (H2O). The 1H signal can therefore be used for internal correction of magnetic field fluctuations before averaging multiple acquisitions. In the displayed measurement, the amplitude of the hyperpolarized 19F signal was approximately 4 × 10–3 of amplitude of the 1H signal (note that the coil sensitivity is only approximately 15% at 1H Larmor frequency). For further details see16.

For spectroscopic experiments, multiple nuclei could be acquired either individually or simultaneously. A composite 90° pulse was used for excitation of both the 1H and the 19F nuclei. The duration of both the 1H and the 19F 90° pulse component was approximately 450 μs but the driving amplitude of the 19F pulse was only approximately 15% that of the 1H pulse due to the reduced coil efficiency at the 1H Larmor frequency. The 19F Larmor frequency for favipiravir was shifted by −10.5 ppm (−240.45 Hz) with respect to the default 19F Larmor frequency of about 22,901,443 Hz.

For long-term acquisition of up to several thousand free induction decay (FID) signals, data were post-processed prior to averaging. This accounted for minimal fluctuations in the B0 field due to remaining temperature fluctuations of the magnet (kept at 303 K) despite the precise temperature control. The corresponding MATLAB routine was provided and optimized by Pure Devices GmbH. For further details of the experimental procedures see16.

The relaxation times were determined after a hardware upgrade (gradient amplifier DC-600, HF pulse amplifier RF-100, Pure Device GmbH, Würzburg, Germany). Furthermore, the coupling of the LED into the fiber optic was improved, resulting in a typical output power of 16 ± 2 mW. The concentration of favipiravir (2.546 mmol/L) was slightly lower than in previous measurements. All other parameters remained unchanged. To determine T2 from hyperpolarized 19F, we modified a standard multi-echo sequence based on a CPMG acquisition scheme to allow averaging of the weak echo signals from 19F using a simultaneously acquired 1H signal.

The absolute values of the 19F signal maxima were fitted to a single exponential function using OriginLab 2023b (https://www.originlab.com/origin). The lifetime (T1) was determined similarly to Sheberstov et al.38 by using a fixed illumination time (here: 6 s) and varying the delay time before the FID was detected (Fig. 9a2). Four measurements were averaged for each delay time, except for the two longest delay times (8 s and 12 s), where eight measurements were averaged due to the lower SNR. Absolute values of the 19F signal maxima were fitted with a single exponential function using OriginLab 2023b.