Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2023 Jun 20.
Published in final edited form as: Anal Chem. 2021 Sep 13;93(38):13029–13037. doi: 10.1021/acs.analchem.1c02917

Fast 19F Magic Angle Spinning NMR for Structural Characterization of Active Pharmaceutical Ingredients in Blockbuster Drugs

Caitlin M Quinn 1, Roman Zadorozhnyi 1,2, Jochem Struppe 4, Ivan V Sergeyev 4, Angela M Gronenborn 2,3,*, Tatyana Polenova 1,2,*
PMCID: PMC10280463  NIHMSID: NIHMS1908166  PMID: 34517697

Abstract

Fluorinated drugs occupy a large and growing share of the pharmaceutical market. Here we explore high frequency, 60 to 111 kHz, magic angle spinning 19F NMR spectroscopy for structural characterization of fluorinated active pharmaceutical ingredients in commercial formulations of seven blockbuster drugs: Celebrex®, Cipro®, Crestor®, Levaquin®, Lipitor®, Prozac®, and Zyvox®. 19F signals can be observed in a single scan and spectra with high signal-to-noise can be acquired in minutes. 19F spectral parameters, such as chemical shifts and line widths are sensitive to both the nature of the fluorine moiety and the formulation. We anticipate that the fast MAS 19F NMR-based approach presented here will be valuable for rapid analysis of fluorine-containing drugs in a wide variety of formulations.

Keywords: fast 19F MAS NMR, active pharmaceutical ingredients, API

Graphical Abstract

graphic file with name nihms-1908166-f0001.jpg

INTRODUCTION

Fluorine-containing molecules comprise 20–30% of all drugs in the pharmaceutical market, and their market share is constantly growing.13 According to current estimates, fluorine atoms or fluoroalkyl groups are incorporated in over 150 commercial drugs, including some of the most-prescribed and/or most-profitable.13 In 2019 alone, eleven new fluorine-containing drugs were approved by the FDA4. Indeed, fluorination has become an indispensable tool in the medicinal chemistry tool chest: introduction of fluorine into organic drug scaffolds allows for stalling metabolism, increasing lipophilicity, and fine-tuning pharmacokinetic properties.5 Diverse fluorine functionalities are employed, with monofluoro-, polyfluoro-, and trifluoromethyl substituents commonly incorporated into aromatic or aliphatic units.2 In drug formulations, the active pharmaceutical ingredient (API) typically only comprises a fraction of the overall mixture. Therefore, characterization of drug formulations by NMR with commonly used 13C- or 1H-detected experiments presents a challenge, since the spectrum invariably reports predominantly on the excipients69.

Fluorine or, specifically, the 100%-abundant magnetically active 19F isotope, is a powerful NMR beacon that has gained considerable attention as a unique probe in small-molecule pharmaceuticals and biological molecules.1029 19F, a spin-1/2 nucleus, possesses very high sensitivity, similar to 1H (0.85 vs 1) and 19F chemical shifts are exquisitely sensitive to the local structural and electronic environment, spanning a range of over 300 ppm.30 Given the prevalence of fluorinated drugs and fluorine’s advantageous spectroscopic properties, it is surprising that fluorine NMR has been underutilized for analyzing pharmaceutical formulations compared to 1H and 13C: to date, there are very few reports of 19F-based structural characterization of APIs in drug formulations,3135 and little systematic data have been published. 19F MAS NMR offers a sensitive and convenient probe to complement 1H and 13C studies of pharmaceutical formulations. Particularly, with fast spinning capabilities becoming more routine, 19F-based experiments that may not have been practical or informative at slower MAS frequencies enable observation of APIs in commercial formulations. These approaches include 19F-19F, 1H-19F, and 13C-19F correlation spectroscopy. Furthermore, the improved 19F resolution observed with fast MAS frequencies permits extraction of detailed structural features otherwise not accessible.

Herein, we explore fluorine as a direct and sensitive reporter on APIs’ local structure in the complex chemical environment of pharmaceutical formulations. For this study, we selected seven blockbuster drugs (i.e., drugs that generate annual sales of $1 billion or more): the anti-inflammatory Celebrex® (celecoxib), the antidepressant Prozac® (API: fluoxetine hydrochloride), the cholesterol-lowering statins Crestor® (API: rosuvastatin calcium) and Lipitor (API: atorvastatin calcium), and the antibiotics Cipro® (API: ciprofloxacin hydrocholoride), Levaquin® (API: levofloxacin), and Zyvox® (API: linezolid). Given that all drug formulations are unique and often proprietary, we only have knowledge about the fraction of the API in the individual tablets, which varies widely from 6.5 % w/w in Crestor® to 79% in Levaquin® (Table S1).

Our study demonstrates that 1D and 2D 19F-detected NMR experiments at 60 to 111 kHz magic angle spinning (MAS) frequency provide a time-effective and sensitive means to probe the API structure. The data reveal that fluorine chemical shifts report on conformational homo/heterogeneity of the API and permit the detection of crystallographically inequivalent sites. Importantly, it was possible to exploit the high sensitivity of the fluorine nucleus for indirect detection of 13C resonances of the APIs, which may be inaccessible otherwise due to low natural abundance and/or strong background signals from the excipients.

MATERIALS AND METHODS

Chemicals

Pharmaceutical formulations of celecoxib (Celebrex®, 200 mg capsule manufactured by Viatris), fluoxetine hydrochloride (Prozac®, 20 mg capsule manufactured by Eli Lily), rosuvastatin calcium (three generic formulations, 10 and 20 mg tablets manufactured by Biocon, Tris Pharma, and Kanon Pharma), atorvastatin calcium (two different generic formulations, 10 and 40 mg tablets, manufactured by Teva and Apotex), ciprofloxacin hydrochloride (generic, 500 mg tablet manufactured by Pack Pharmaceuticals), levofloxacin (two generic formulations, 750 mg tablets manufactured by Zydus and Camber), and linezolid (generic, 600 mg tablet manufactured by Teva), were used. For NMR spectroscopy, the individual formulations were finely ground into powders and packed into 1.3 or 0.7 mm MAS rotors. Each 1.3 mm rotor contained 2.6–3.2 mg of material, of which 0.17–2.38 mg were the fluorine-containing API. Each 0.7 mm rotor contained less than 0.5 mg of total material.

MAS NMR spectroscopy

19F and 13C-detected experiments were performed on a 11.7 T wide bore Bruker AVANCE III spectrometer outfitted with a 1.3 mm HFX MAS probe. The Larmor frequencies were 500.13 MHz for 1H, 470.59 MHz for 19F and 125.76 MHz for 13C. All MAS NMR spectra were acquired at a MAS frequency of 60 kHz maintained within ±10 Hz by Bruker MAS III controller. The sample temperature was calibrated with KBr as an external temperature sensor, and was maintained at 28±0.3 °C by a Bruker variable temperature controller. 19F and 13C chemical shifts were referenced with respect to those of trifluoroacetic acid (100 μM solution in 25 mM sodium phosphate buffer, pH 6.5) as an external reference (0 ppm) and adamantane, respectively. Typical 90° pulse lengths were 2.35 μs for 1H, 2.39 μs for 19F and 2.89 μs for 13C. 19F and 1H spin-lattice relaxation rates were measured using a standard inversion-recovery sequence36.

For 1H-13C CPMAS experiments, 1H-13C cross polarization was performed with a linear ramp; the 1H and 13C radio frequency (RF) fields were 105 kHz and 45 kHz, respectively; the typical CP contact times were 1.5–2 ms; the 13C carrier frequency was set to 100 ppm. The spectra were collected with 2816 scans (ciprofloxacin, 4 hrs 41 min), 2048 scans (fluoxetine, 3 hrs 59 min), 1024 scans (celecoxib, 2 hrs 50 min), 2048 scans (rosuvastatin, 3 hrs 25 min), 3072 scans (atorvastatin, 5 hrs 59 min). 3072 scans (linezolid, 5 hrs 7 min), and 3072 scans (levofloxacin, 3 hrs 25 min).

13C-19F cross-polarization was performed with a linear amplitude ramp of 70–100% on 13C, with the center of the ramp Hartmann-Hahn matched to the first spinning sideband; the 13C carrier frequency was set to 100 ppm. The 19F RF field was 15 or 35 kHz; the 13C RF field was 45 or 25 kHz. For 1H-19F CPMAS experiments, 1H-19F cross polarization was performed with a linear ramp; the 1H and 19F RF fields were 105 kHz and 45 kHz, respectively; the typical CP contact time was 2 ms. For the 2D 1H-19F HETCOR of levofloxacin a 0.5 ms contact time was used and 32 scans with 64 complex points were acquired in the t1 dimension. For atorvastatin, a 1.5 ms mixing was used, and 384 and 88 scans with 64 complex points were acquired with for generic formulations 1 and 2, respectively. 2D (1H)-13C-19F HETCOR experiments on ciprofloxacin, fluoxetine, and levofloxacin, were acquired with 48, 144, and 144 scans, respectively; the 1H-13C contact times were 1.5–2 ms; 13C-19F CP contact times were 11, 7, and 10 ms; 64, 74, and 192 complex points, respectively, were acquired in the t1 dimension. The carrier frequency in 13C was set to 100.0 ppm. In several experiments, 19F decoupling was performed with a rotor-synchronized π-pulse (RF field of 105 kHz), applied every second rotor period during evolution in the 13C dimension. In most 19F detected experiments, 15 kHz time-proportional phase modulation (TPPM)37 1H decoupling was applied during acquisition. Other acquisition parameters were sample-dependent and are provided in the corresponding figure legends. For chemical shift anisotropy (CSA) parameter determination of levofloxacin and atorvastatin, slow MAS spectra were acquired at 10 kHz MAS (Figure S2). The CSA values were determined with Herzfeld-Berger analysis (HBA)38 and incorporated into delays alternating with nutation for tailored excitation - radio frequency driven recoupling (DANTE-RFDR) simulations described below.

The 1D 19F DANTE39,40 and DANTE-RFDR spectra of levofloxacin, atorvastatin calcium, and rosuvastatin calcium formulations were acquired with 32, 96, and 256 scans respectively. For frequency-dependent DANTE inversion experiments, 42–48 0.1-μs DANTE inversion pulses were applied on resonance for each peak in the spectra of levofloxacin and atorvastatin, and for rosuvastatin in 1 ppm steps between −22 and −43 ppm. The DANTE interpulse delays were set to 1 (levofloxacin peaks I-II), 2 (levofloxacin peaks III-IV) or 4 (atorvastatin, rosuvastatin) rotor cycles. For levofloxacin and atorvastatin, CP from 1H was used for initial 19F excitation, to speed up data acquisition. The recycle delay was 4.0 s (levofloxacin), 6.0 s (atorvastatin) or 10 s (rosuvastatin). The (XY8)14 or/and XY8 phase cycle41 was applied during the RFDR mixing. To account for zero-quantum (ZQ) relaxation occurring during RFDR mixing, control experiments were acquired without DANTE selective inversion. For levofloxacin, a series of 2D 19F-19F RFDR spectra were acquired with 1H-19F CP, followed by a RFDR period; the mixing times were 10, 30, and 100 ms; 128 scans with 64 complex points were acquired in the t1 dimension. For the atorvastatin 19F-19F RFDR spectrum, the mixing time was 20 ms, and 96 scans with 88 complex points were acquired in the t1 dimension.

19F-detected experiments on atorvastatin were also performed at several MAS rotation rates between 60 and 111 kHz on a 11.7 T wide bore Bruker Neo spectrometer, outfitted with a 0.7 mm H/F-X MAS probe. The 19F 90° pulse length was 1.0 μs. The 2D 19F-19F RFDR spectrum was acquired with 128 scans, the mixing time 100 ms, and 32 complex points in the t1 dimension.

The 1D 13C CPMAS spectrum of Linezolid was acquired on a 14.1 T standard bore Bruker AVANCE III spectrometer outfitted with a 1.3 mm HCN MAS probe. The MAS frequency was 60 kHz and was maintained within ±10 Hz by Bruker MAS III controller. The sample temperature was calibrated with KBr as an external temperature sensor and was maintained at 21±0.3 °C by a Bruker variable temperature controller. CP conditions and other experimental parameters were similar to those described above.

All spectra were processed in TopSpin 3.6 or 4.0 and analyzed in TopSpin or NMRFAM-Sparky42. All 1D 19F-detected spectra in Figures 1 and 2 (19F direct polarization and 1H-19F CP) were processed with 10 Hz exponential apodization except spectra of rosuvastatin which were processed with 75 Hz exponential apodization. The 2D 19F-19F RFDR spectra of levofloxacin (Figure 3) and atorvastatin (Figure 4) were processed with 90° sinebell apodization in both dimensions. 19F-detected spectra of atorvastatin in Figure 4f were processed without apodization. (1H)13C-19F 2D HETCOR spectra were processed as follows: ciprofloxacin (Figure 2e), 60° sinebell (t2) and 128 points linear prediction followed by 75° sinebell apodization (t1); fluoxetine (Figure 2f), 200 Hz (t2) and 75 Hz (t1) exponential apodization; levofloxacin (Figure 3f), 75° (t2) and 90° (t1) sinebell apodization. 2D 1H-19F HETCOR spectra were processed as follows: levofloxacin (Figure 3g), 90° sinebell apodization in both dimensions; atorvastatin (Sample 1, Figure 4d), 32 points linear prediction in t1 followed by 90° sinebell apodization in both dimensions; atorvastatin (Sample 2, Figure 4d) 75° sinebell apodization in both dimensions.

Figure 1.

Figure 1.

Chemical structures and 19F MAS spectra of APIs in drug formulations of celecoxib, fluoxetine hydrochloride, rosuvastatin calcium, atorvastatin calcium, ciprofloxacin hydrocholoride, linezolid, and levofloxacin. The brand name of the drug is provided in parentheses. All spectra were acquired with 16 scans, except for that of rosuvastatin calcium, for which 128 scans were recorded. 1H TPPM decoupling (15 kHz) was applied during acquisition. The total acquisition times were: 50 s (celecoxib), 2 min 40 s (ciprofloxacin), 75 min (rosuvastatin), 2 m 40 s (levofloxacin), 10 min 40 s (atorvastatin), 2 min 40 s (fluoxetine), and 13 min 20 s (linezolid). The MAS frequency was 60 kHz.

Figure 2.

Figure 2.

1D and 2D MAS NMR spectra of of APIs in different drug formulations: a) rosuvastatin, b) atorvastatin, c) linezolid, d) levofloxacin, e) ciprofloxacin, f) fluoxetine, and g) celecoxib. Peaks that appear in the (1H)-13C-19F 2D HETCOR spectra of ciprofloxacin and fluoxetine are labeled with asterisks. 19F-13C CPMAS spectra of celecoxib were acquired with contact times of 1 ms, 5 ms, and 10 ms (shown next to the individual traces). Several unique peaks could be assigned and are labeled with atom numbers (Fig. 1). The MAS frequency was 60 kHz. Other experimental conditions are detailed in the Methods section.

Figure 3.

Figure 3.

a) Structure of levofloxacin with IUPAC numbering. b) 19F 1D spectra of levofloxacin formulations from two manufacturers (Camber, black and Zydus, magenta). c) 19F-19F RFDR 2D spectrum of levofloxacin (Camber) acquired with the mixing time of 30 ms. d) Experimental (•) and simulated (—) 19F DANTE-RFDR exchange curves for peak pairs I-II (top) and the X-ray structure of levofloxacin, depicting short-range 19F-19F interactions observed in DANTE-RFDR by dashed lines (bottom, CSD-YUJNUM0144). Exchange profiles for peaks I-II were simulated using a 2-spin approximation with interfluorine distances of 2.7 Å (red), 2.9 Å (gold), and 3.1 Å (blue). Crystallographically equivalent fluorine atoms are shown in the same color (light blue or green). e) Experimental (•) and simulated (—) 19F DANTE-RFDR exchange curves for resonance pairs III-IV (top) and the X-ray structure of levofloxacin (P21 space group) depicting long-range 19F-19F interactions between crystallographically inequivalent fluorine atoms by dashed lines; (bottom, CSD-YUJPAU0145). Exchange profiles for peaks III-IV were simulated using a 2-spin approximation with interfluorine distances of 9.5 Å (red), 10 Å (gold), 10.5 Å (blue), 11 Å (green), and 11.5 Å (grey). f,g) (1H)13C-19F HETCOR and 1H-19F HETCOR spectra of levofloxacin (Camber).

Figure 4.

Figure 4.

a) 19F 1D spectra of atorvastatin from 2 pharmaceutical manufacturers: Sample 1 (magenta; Teva), Sample 2 (grey; Apotex). b) Experimental (•) and simulated (—) 19F DANTE-RFDR exchange curves for Sample 1 (top) and Sample 2 (bottom). Exchange profiles were simulated using a 2-spin approximation with interfluorine distances of 8 Å (red), 10 Å (gold), 12 Å (blue), 15 Å (green), and 17 Å (grey). c) Structure of atorvastatin calcium form I51. Fluorine atoms are shown as spheres, with crystallographically equivalent fluorines shown in the same color (teal or green). Long-range F-F interactions between non-equivalent fluorine atoms are indicated by dashed lines. Ca2+ ions and H2O molecules are omitted for clarity. d) 1H-19F HETCOR spectra of atorvastatin Sample 1 (magenta) and Sample 2 (grey). e) 19F-19F RFDR 2D spectrum of atorvastatin (Sample 2) acquired with a 20 ms mixing time; the MAS frequency was 60 kHz. The inset (lower right) shows the cross-peaks in the RFDR spectrum acquired with a 100 ms mixing time; the MAS frequency was 111 kHz. f) 19F 1D spectra of Sample 1 acquired at MAS frequencies ranging from 60 to 111 kHz (listed next to each spectrum). The top spectrum was acquired with 1H decoupling, all others were recorded without decoupling.

Numerical simulations

The DANTE-RFDR magnetization exchange curves were simulated in SIMPSON43 (version 4.2.1). In the two-spin simulations, the magnetization originated on the non-selectively saturated spin, I2z, followed by the magnetization exchange to -I1z. An example simulation script is presented in the Supporting Information. The simulated curves were corrected for ZQ relaxation using the experimentally determined ZQ relaxation rates.

RESULTS

19F 60 kHz MAS NMR spectra for all seven pharmaceutical formulations (Figure 1), exhibited intense, relatively sharp resonances, except rosuvastatin calcium, for which a broad envelope was observed. Strong signals were obtained with a single scan and high-quality spectra were acquired in less than 2–3 minutes. For atorvastatin and linezolid, the spectra were recorded in 10–15 minutes due to longer 19F T1s (Table S1). Acquiring the spectrum of generic formulations of rosuvastatin with comparable signal-to-noise ratio (SNR) required more signal averaging due to the large, heterogeneous linewidth. When 19F T1s exceeded 10 s, 1H-19F cross polarization permitted faster spectral acquisition (Figure 2a).

In contrast to the ease and speed with which 1D 19F NMR spectra were collected, 13C-detected 1H-13C or 19F-13C CPMAS experiments (Figure 2b,d) required 3–6 hours of signal averaging to achieve comparable signal-to-noise ratios (SNR). Notably, in formulations with a low percentage of API, the 13C signals are dominated by the excipients rather than the API.

19F spectral features, such as chemical shifts and line widths, are very sensitive to the chemical structure and the drug formulation. Line widths vary substantially, from 0.4 ppm in fluoxetine (δiso = 16.8 ppm) to 7.6 ppm in rosuvastatin (peak center at −33.8 ppm). On the basis of the linewidths alone we can conclude that rosuvastatin is amorphous while the other formulations comprise mono- or polycrystalline APIs.

Interestingly, the 19F 1D and/or 2D spectra suggest the presence of at least two distinct species in all samples, except for celecoxib (for which no 2D spectra were acquired). The multiple 19F species observed in the spectra may correspond to crystallographically inequivalent fluorine atoms or indicate conformational disorder. For ciprofloxacin, the 1 ppm-wide 19F peak contains two resonances (δiso = −40.6 and −40.9 ppm), as evidenced by the 2D (1H)13C-19F HETCOR spectrum (Figure 2c). For fluoxetine, the 2D (1H)13C-19F HETCOR spectrum reveals that the 19F peak contains three resonances, a major peak at δiso = 16.8, and two minor peaks at δiso = 16.0 and 15.4 ppm. The presence of the two low-intensity resonances suggests some heterogeneity, possibly caused by aging of the API. The 13C chemical shifts of resonances correlated with each unique fluorine species in fluoxetine and ciprofloxacin are also distinct, as evidenced by the HETCOR spectra. Spectra for atorvastatin and levofloxacin each exhibit at least four individual 19F signals. The spectrum of linezolid possesses 2 very similar resonances whose chemical shifts differ by only 0.35 ppm.

To evaluate the polarization buildup of 19F-13C magnetization, a series of 19F-13C 1D spectra were acquired on celecoxib (Figure 2d) with CP contact times ranging from 1 ms to 10 ms. At short contact times, 13C resonances for atoms within 1–2 bonds of the fluorine atoms appear, while longer-range 19F-13C correlations, corresponding to dipolar transfers between atoms separated by several bonds, emerge at longer mixing times.

Intrigued by the observation of 4 peaks in the 19F MAS NMR spectrum of levofloxacin (provided in Figure 3a with atoms numbered), we performed a series of 1D and 2D experiments, to elucidate the molecular structure of the API in the two formulations. It is apparent that the four peaks comprise two sets of resonances, at −37.7 and −39.5 ppm (peaks I and II, group A) and −41.4 and −42.1 ppm (peaks III and IV, group B) in both formulations (Figure 3b). Within each group, the two resonances are of equal integrated intensity, suggesting the presence of two polymorphs. Indeed, two 19F resonances had been reported previously for the hemihydrate of levofloxacin corresponding to two crystallographically inequivalent molecules,44 whose chemical shifts were very similar to those of group A resonances observed here (−37.7 and −39.5 ppm). Importantly, the relative intensities of group A and group B resonances differ for the two formulations investigated here (Figure 3b), suggesting that different ratios of the two polymorphs are present in the formulations by different manufacturers. In the 2D 19F-19F RFDR spectra recorded with mixing times of up to 100 ms, cross peaks are observed between each pair of resonances within group A and group B, but no cross peaks between the two groups are seen (Figure 3c, S3), corroborating the hypothesis that group A and group B belong to two different polymorphs.

To assess the arrangement of the levofloxacin molecules in the crystal lattice, we performed 1D 19F DANTE-RFDR experiments.13 The very rapid exchange observed between the two deshielded resonances I and II suggests a very short, <3 Å interfluorine distance between them (Figure 3d, S5). Indeed, the 2-spin system simulation with an interfluorine distance of 2.9 Å captures the experimental data very well (Figure 3d, solid lines). Deviations between experiment and simulation at longer mixing times are due to multi-spin effects, associated with the contributions from multiple fluorine atoms in the crystal lattice. The short 19F interflourine distance in this polymorph is consistent with frequently observed crystal structures of levoflaxicin4547 (Figure 3d). 2D 1H-19F and (1H)13C-19F HETCOR spectra provide further information about the intermolecular interactions present in this polymorph, also consistent with known crystal structures of levofloxacin (Figure S4). Specifically, the following intermolecular 1H-19F and 13C-19F interactions were identified: F-H8, F-H20, F-C8, F-C19, and F-C20. The calculated 19F chemical shifts summarized in Table S1 of the Supporting Information are in good agreement with the experimental data corroborating structure for this polymorph.

The two fluorine species associated with the shielded peaks (resonances III and IV) are suggestive of a very different crystalline environment. The slow DANTE-RFDR magnetization exchange (Figure 3e, S5) indicates a long interfluorine distance and the simulated curve using the 2-spin approximation is generally consistent with an interfluorine distance of 10 Å; the remaining differences between experiment and simulation are due to multi-spin effects, which were not accounted for in simulations. The cross peaks in the 2D (1H)-13C-19F and 1H-19F HETCOR spectra (Figure 3f and g, respectively) are also very different for this group of resonances. Several cross peaks are missing or significantly weaker, such as C8/H8 and C19/C20/H20, suggesting a different intermolecular organization in this crystalline polymorph.

Atorvastatin calcium exists in numerous crystalline and amorphous forms. High-resolution structural characterization of this drug has proven to be particularly difficult. For the two generic formulations of atorvastatin, manufactured by Teva (Sample 1) and Apotex (Sample 2), 19F MAS NMR spectra are markedly different. The spectrum of Sample 1 exhibits a pair of sharp, well-resolved resonances at −40.1 and −41.9 ppm (Figure 4a). In Sample 2, at least four 19F species can be distinguished, with chemical shifts of −36.9, −37.3, −43.6, and −45.5 ppm. The 19F T1s of the individual species are also clearly different between the two samples, with those in Sample 1 being considerably shorter than in Sample 2 (Table S1). Both spectra suggest that the APIs are crystalline, as evidenced by the overall narrow lines compared to amorphous formulations, such as rosuvastatin. The 19F-19F 2D RFDR spectrum further supports this notion revealing that each broader peak in sample 2 compared to sample 1 comprises multiple narrow resonances with very similar chemical shifts. These individual resonances correspond to distinct crystalline environments in sample 2. Notably, the 19F spectrum of Sample 1 is in excellent agreement with the 19F spectrum reported previously for pure atorvastatin calcium form I48,49 (correcting for TFA vs. CFCl3 referencing). Sample 2 has similar 19F chemical shifts to those reported for the form referred to in the literature as “form X”.49 However, there are notable differences. In Sample 2, the intensity ratio of the two primary resonances (peaks I and II) is 0.75:1, significantly higher than the much lower ratio observed in the pure material. In addition, while in neat form X only two resonances are observed, in the commercial formulation studied here, several additional species are present (a, b, c, d).

To further characterize the atorvastatin samples, 2D 1H-19F HETCOR spectra were acquired (Figure 4d). Since these samples contain only 6–9 % w/w API, it is remarkable that high SNR data sets were obtained in a few hours. Such spectra could be indispensable for elucidating the higher order arrangements of the API in the various formulations. The 1H-19F HETCOR spectrum of Sample 1 (magenta trace) indicates distinct local environments for each of the two fluorine moieties. Interestingly, some cross peaks are present at 1H chemical shifts not associated with any Atorvastatin protons (e.g., 5–6 ppm 48) and may arise from intermolecular correlations between the API and the excipients.

In the 1H-19F HETCOR spectrum of Sample 2 (grey trace), the deshielded group of resonances (collectively labeled I in Figure 4a, centered at −37 ppm) exhibit very different 1H-19F correlations compared to those of the shielded group of resonances (collectively labeled II, centered at −44 ppm). Therefore, the deshielded and the shielded resonances are associated with distinct local environments. In contrast, species associated with the same subset of resonances are generally quite similar, although slightly different local environments may be present, as evidenced by the differences in the cross peak patterns. The 2D 19F-19F RFDR spectrum of Sample 2 (Figure 4e) reveals additional structural details. While two distinct shielded resonances are present in the 1D 19F data set, it is clear from the 2D RFDR spectrum that there are at least four unique fluorine atom environments present. At a relatively short mixing time of 20 ms, many cross peaks are observed within the shielded group of resonances, with several of these connecting the shielded and deshielded groups. In the 100 ms mixing time spectrum, additional cross peaks among the various species are present. Such detail would likely not be distinguishable in the fluorine resonances at slower MAS frequencies.

The DANTE-RFDR exchange curves for both formulations (Figure 4b, S6) can be simulated assuming a two-spin system, in which magnetization exchange occurs between two magnetically inequivalent fluorine atoms, separated by at least 12 Å. In atorvastatin calcium crystals, lamellar type packing can be observed, and in these membrane-like structures the bulky hydrophobic moiety comprises the outer layer with the calcium ion coordinated by the hydrophilic groups of the inner layer50. Fluorine atoms reside in two distinct electronic environments in the inner layer. In known structures of atorvastatin calcium, the distances between the neighboring fluorine atoms within each type of environment are ~5 Å, while the closest distances between the atoms belonging to two different environments are ~10–16 Å5052 (Figure 4c). Since DANTE-RFDR magnetization exchange occurs between peaks with different chemical shifts, groups of resonances labeled I and II in Figure 4a must therefore correspond to fluorine atoms belonging to the different environments separated by ~12 Å. Conversely, fluorine atoms closer to each other (~5 Å apart) must have similar or identical 19F chemical shifts and do not contribute to the observed DANTE-RFDR exchange curves.

For sample 2 we also performed a systematic evaluation of the 19F line width as a function of the MAS frequency and 1H decoupling. As shown in Figure 4f, 1H decoupling increases the resolution dramatically: at 60 kHz, the widths of the lines are reduced from 419 to 266 Hz and from 336 to 209 Hz for the shielded and deshielded peak, respectively, upon 1H decoupling. Increasing the spinning frequency from 60 to 111 kHz, in the absence of 1H decoupling, also resulted in a significant narrowing of the 19F resonances, from 419 to 301 and from 336 to 252 Hz for the shielded and deshielded resonances, respectively. Taken together, these results indicate that even at 111 kHz MAS, 1H-19F dipolar interactions still contribute significantly to the observed 19F line widths. Comparing the sensitivity of the 1.3 and 0.7 mm rotors, the signal-to-noise ratios of the spectra acquired at 60 kHz and 111.11 kHz are 21.4 and 21.2 respectively for the peak at −40 ppm, yielding an effective SNR per mg per square root of scan of 1.8 (60 kHz MAS, 3 mg material) and 10.6 (111 kHz, 0.5 mg material). It is important to note the excellent resolution of the 60 kHz spectra with 1H decoupling, given that probes capable of 110 kHz MAS are not yet widely available.

In contrast to levofloxacin and atorvastatin, the spectra of the amorphous rosuvastatin are similar for all three formulations investigated here (Figure 5a). To order to uncover the origin of the very broad line, we performed 19F DANTE inversion-based experiments13. The spectra shown in Figure 5b indicate that the broad peak comprises a continuum of resonances, with δiso spanning from −26.7 to −40.8 ppm, and homogeneous line widths are of the order of 1 ppm.

Figure 5.

Figure 5.

a) 19F spectra for rosuvastatin calcium generic formulations from three different manufacturers (BioCon, Sample 1; Kanon Pharma, Sample 2; Tris Pharma, Sample 3). b) A series of 19F DANTE-based spectra for Sample 3. DANTE inversion pulses were applied to the frequencies labeled by arrows. The homogeneous line width is of the order of 1 ppm.

CONCLUSIONS

Taken together, the present results clearly demonstrate that fluorine NMR is uniquely suited to probe pharmaceutical formulations of fluorine-containing drugs. The power of 19F MAS NMR using sample spinning frequencies in the range of 60–111 kHz lies in its exquisite sensitivity (allowing for very fast data collection, even with very small amounts of material) and specificity (chemical shifts report directly on the API and are sensitive to differences in formulation and/or excipients). We anticipate being able to routinely detect conformational heterogeneity and uncover detailed structural information for fluorinated APIs using selective inversion and correlation experiments. Overall, the approach presented here establishes a framework for structural analysis of fluorinated APIs with fast magic angle spinning and is envisioned to be powerful for the identification and quantification of API polymorphs in pharmaceutical formulations.

Supplementary Material

Supporting information

ACKNOWLEDGMENTS

This work was supported by the National Science Foundation (NSF Grant CHE-1708773 to AMG and TP) and by the National Institutes of Health (NIH Grant P50AI150481, Technology Development Project 2) and is a contribution from the Pittsburgh Center for HIV Protein Interactions. We acknowledge the support of the National Institutes of Health (NIH Grant P30GM110758) for the support of core instrumentation infrastructure at the University of Delaware.

Footnotes

CONFLICT OF INTEREST

The authors declare no conflict of interest.

SUPPORTING INFORMATION

1D 1H spectra of all drug formulations; 19F and 1H spin-lattice relaxation; slow MAS spectra of atorvastatin and levofloxacin; additional DANTE-RFDR simulations of atorvastatin; MAS frequency and 1H-decoupling dependence of atorvastatin 19F spectra; DFT calculations of 19F isotropic chemical shifts; example DANTE-RFDR SIMPSON simulation script. This information is available online at http://pubs.acs.org.

REFERENCES

  • (1).Inoue M; Sumii Y; Shibata N Contribution of organofluorine compounds to pharmaceuticals. ACS Omega 2020, 5, 10633–10640. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (2).Mei HB; Han JL; Fustero S; Medio-Simon M; Sedgwick DM; Santi C; Ruzziconi R; Soloshonok VA Fluorine-containing drugs approved by the FDA in 2018. Chem. Eur. J. 2019, 25, 11797–11819. [DOI] [PubMed] [Google Scholar]
  • (3).Zhou Y; Wang J; Gu Z; Wang S; Zhu W; Luis Acena J; Soloshonok VA; Izawa K; Liu H Next generation of fluorine-containing pharmaceuticals, compounds currently in phase II-III clinical trials of major pharmaceutical companies: new structural trends and therapeutic areas. Chem. Rev. 2016, 116, 422–518. [DOI] [PubMed] [Google Scholar]
  • (4).Mei H; Remete AM; Zou Y; Moriwaki H; Fustero S; Kiss L; Soloshonok VA; Han J Fluorine-containing drugs approved by the FDA in 2019. Chin. Chem. Lett. 2020, 31, 2401–2413. [Google Scholar]
  • (5).Gillis EP; Eastman KJ; Hill MD; Donnelly DJ; Meanwell NA Applications of fluorine in medicinal chemistry. J. Med. Chem. 2015, 58, 8315–8359. [DOI] [PubMed] [Google Scholar]
  • (6).Hong Y.-l.; Manjunatha Reddy GN; Nishiyama Y Selective detection of active pharmaceutical ingredients in tablet formulations using solid-state NMR spectroscopy. Solid State Nucl. Magn. Reson. 2020, 106, 101651. [DOI] [PubMed] [Google Scholar]
  • (7).Geppi M; Mollica G; Borsacchi S; Veracini CA Solid-state NMR studies of pharmaceutical systems. Appl. Spectrosc. Rev. 2008, 43, 202–302. [Google Scholar]
  • (8).Lubach JW; Munson EJ Solid-state nuclear magnetic resonance of pharmaceutical formulations. Encyclopedia of Analytical Chemistry 2013, 1–18. [Google Scholar]
  • (9).Pindelska E; Sokal A; Kolodziejski W Pharmaceutical cocrystals, salts and polymorphs: advanced characterization techniques. Adv. Drug Deliv. Rev. 2017, 117, 111–146. [DOI] [PubMed] [Google Scholar]
  • (10).Gerig JT Fluorine NMR of proteins. Prog. Nucl. Magn. Reson. Spectrosc. 1994, 26, 293–370. [Google Scholar]
  • (11).Gee CT; Arntson KE; Urick AK; Mishra NK; Hawk LML; Wisniewski AJ; Pomerantz WCK Protein-observed 19F-NMR for fragment screening, affinity quantification and druggability assessment. Nat. Protoc. 2016, 11, 1414–1427. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (12).Boeszoermenyi A; Chhabra S; Dubey A; Radeva DL; Burdzhiev NT; Chanev CD; Petrov OI; Gelev VM; Zhang M; Anklin C; Kovacs H; Wagner G; Kuprov I; Takeuchi K; Arthanari H Aromatic 19F-13C TROSY: a background-free approach to probe biomolecular structure, function, and dynamics. Nat. Methods 2019, 16, 333–340. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (13).Fritz M; Kraus J; Quinn CM; Yap GPA; Struppe J; Sergeyev IV; Gronenborn AM; Polenova T Measurement of accurate interfluorine distances in crystalline organic solids: a high-frequency magic angle spinning NMR approach. J. Phys. Chem. B 2019, 123, 10680–10690. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (14).Lu MM; Ishima R; Polenova T; Gronenborn AM 19F NMR relaxation studies of fluorosubstituted tryptophans. J. Biomol. NMR 2019, 73, 401–409. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (15).Lu MM; Polenova TE; Gronenborn AM 19F NMR studies of cyclophilin A and its interaction with HIV-1 capsid. Biophys. J. 2020, 118, 503a–503a. [Google Scholar]
  • (16).Lu MM; Sarkar S; Wang MZ; Kraus J; Fritz M; Quinn CM; Bai S; Holmes ST; Dybowski C; Yap GPA; Struppe J; Sergeyev IV; Maas W; Gronenborn AM; Polenova T 19F magic angle spinning NMR spectroscopy and density functional theory calculations of fluorosubstituted tryptophans: integrating experiment and theory for accurate determination of chemical shift tensors. J. Phys. Chem. B 2018, 122, 6148–6155. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (17).Lu MM; Wang MZ; Sergeyev IV; Quinn CM; Struppe J; Rosay M; Maas W; Gronenborn AM; Polenova T 19F dynamic nuclear polarization at fast magic angle spinning for NMR of HIV-1 capsid protein assemblies. J. Am. Chem. Soc. 2019, 141, 5681–5691. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (18).Matei E; André S; Glinschert A; Infantino AS; Oscarson S; Gabius HJ; Gronenborn AM Fluorinated carbohydrates as lectin ligands: dissecting glycan-cyanovirin interactions by using 19F NMR spectroscopy. Chemistry 2013, 19, 5364–5374. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (19).Matei E; Gronenborn AM 19F paramagnetic relaxation enhancement: a valuable tool for distance measurements in proteins. Angew. Chem. Int. Ed. 2016, 55, 150–154. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (20).Norton RS; Leung EWW; Chandrashekaran IR; MacRaild CA Applications of 19F-NMR in fragment-based drug discovery. Molecules 2016, 21, 860. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (21).Roos M; Mandala VS; Hong M Determination of long-range distances by fast magic-angle-spinning radiofrequency-driven 19F-19F dipolar recoupling NMR. J. Phys. Chem. B 2018, 122, 9302–9313. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (22).Roos M; Wang T; Shcherbakov AA; Hong M Fast magic-angle-spinning 19F spin exchange NMR for determining nanometer 19F-19F distances in proteins and pharmaceutical compounds. J. Phys. Chem. B 2018, 122, 2900–2911. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (23).Sharaf NG; Ishima R; Gronenborn AM Conformational plasticity of the NNRTI-binding pocket in HIV-1 reverse transcriptase: a fluorine nuclear magnetic resonance study. Biochemistry 2016, 55, 3864–3873. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (24).Sharaf NG; Xi Z; Ishima R; Gronenborn AM The HIV-1 p66 homodimeric RT exhibits different conformations in the binding-competent and -incompetent NNRTI site. Proteins 2017, 85, 2191–2197. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (25).Shcherbakov AA; Hong M Rapid measurement of long-range distances in proteins by multidimensional 13C-19F REDOR NMR under fast magic-angle spinning. J. Biomol. NMR 2018, 71, 31–43. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (26).Shcherbakov AA; Roos M; Kwon B; Hong M Two-dimensional 19F-13C correlation NMR for 19F resonance assignment of fluorinated proteins. J. Biomol. NMR 2020, 74, 193–204. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (27).Wang M; Lu M; Fritz MP; Quinn CM; Byeon IJL; Byeon CH; Struppe J; Maas W; Gronenborn AM; Polenova T Fast magic-angle spinning 19F NMR spectroscopy of HIV-1 capsid protein assemblies. Angew. Chem. Int. Ed. 2018, 57, 16375–16379. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (28).Dalvit C; Vulpetti A Ligand-based fluorine NMR screening: principles and applications in drug discovery projects. J. Med. Chem. 2019, 62, 2218–2244. [DOI] [PubMed] [Google Scholar]
  • (29).Grage SL; Afonin S; Ulrich AS 19F NMR of biomembranes. Solid-State NMR 2020, 6-1-6-43. [Google Scholar]
  • (30).Sharaf NG; Gronenborn AM 19F-modified proteins and 19F-vontaining ligands as tools in solution NMR studies of protein interactions. Meth. Enzymol. 2015, 565, 67–95. [DOI] [PubMed] [Google Scholar]
  • (31).Urbanova M; Brus J; Sedenkova I; Policianova O; Kobera L Characterization of solid polymer dispersions of active pharmaceutical ingredients by 19F MAS NMR and factor analysis. Spectrochim. Acta A Mol. Biomol. Spectrosc. 2013, 100, 59–66. [DOI] [PubMed] [Google Scholar]
  • (32).Okaru AO; Brunner TS; Ackermann SM; Kuballa T; Walch SG; Kohl-Himmelseher M; Lachenmeier DW Application of 19F NMR spectroscopy for content determination of fluorinated pharmaceuticals. J. Anal. Methods Chem. 2017, Article ID 9206297. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (33).Mattes AO; Russell D; Tishchenko E; Liu YZ; Cichewicz RH; Robinson SJ Application of 19F quantitative NMR to pharmaceutical analysis. Concepts Magn. Reson. Part A 2016, 45A, e21422. [Google Scholar]
  • (34).Lu X; Huang C; Li M; Skomski D; Xu W; Yu L; Byrn SR; Templeton AC; Su Y Molecular mechanism of crystalline-to-amorphous conversion of pharmaceutical solids from 19F magic angle spinning NMR. J. Phys. Chem. B 2020, 124, 5271–5283. [DOI] [PubMed] [Google Scholar]
  • (35).Lu X; Skomski D; Thompson KC; McNevin MJ; Xu W; Su Y Three-dimensional NMR spectroscopy of fluorinated pharmaceutical solids under ultrafast magic angle spinning. Anal. Chem. 2019, 91, 6217–6224. [DOI] [PubMed] [Google Scholar]
  • (36).Hahn EL An accurate nuclear magnetic resonance method for measuring spin-lattice relaxation times. Phys. Rev. 1949, 76, 145–146. [Google Scholar]
  • (37).Bennett AE; Rienstra CM; Auger M; Lakshmi KV; Griffin RG Heteronuclear decoupling in rotating solids. J. Chem. Phys. 1995, 103, 6951–6958. [Google Scholar]
  • (38).Eichele K HBA 1.7.5. Universität Tübingen 2015. [Google Scholar]
  • (39).Bodenhausen G; Freeman R; Morris GA A simple pulse sequence for selective excitation in Fourier transform NMR. J. Magn. Reson. 1976, 23, 171–175. [Google Scholar]
  • (40).Morris GA; Freeman R Selective excitation in Fourier transform nuclear magnetic resonance. J. Magn.Reson. 1978, 29, 433–462. [DOI] [PubMed] [Google Scholar]
  • (41).Shen M; Hu B; Lafon O; Trébosc J; Chen Q; Amoureux J-P Broadband finite-pulse radio-frequency-driven recoupling (fp-RFDR) with (XY8)41 super-cycling for homo-nuclear correlations in very high magnetic fields at fast and ultra-fast MAS frequencies. J. Magn. Reson. 2012, 223, 107–119. [DOI] [PubMed] [Google Scholar]
  • (42).Lee W; Tonelli M; Markley JL NMRFAM-SPARKY: enhanced software for biomolecular NMR spectroscopy. Bioinformatics 2015, 31, 1325–1327. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (43).Bak M; Rasmussen JT; Nielsen NC SIMPSON: a general simulation program for solid-state NMR spectroscopy. J. Magn. Reson. 2000, 147, 296–330. [DOI] [PubMed] [Google Scholar]
  • (44).Gorman EM; Samas B; Munson EJ Understanding the dehydration of levofloxacin hemihydrate. J. Pharm. Sci. 2012, 101, 3319–3330. [DOI] [PubMed] [Google Scholar]
  • (45).Singh SS; Thakur TS New crystalline salt forms of levofloxacin: conformational analysis and attempts towards the crystal structure prediction of the anhydrous form. CrystEngComm 2014, 16, 4215–4230. [Google Scholar]
  • (46).Freitas JTJ; de Melo CC; Viana OMMS; Ferreira FF; Doriguetto AC Crystal structure of levofloxacin anhydrates: a high-temperature powder X-ray diffraction study versus crystal structure prediction. Cryst. Growth Des. 2018, 18, 3558–3568. [Google Scholar]
  • (47).Wei N; Jia L; Shang Z; Gong J; Wu S; Wang J; Tang W Polymorphism of levofloxacin: structure, properties and phase transformation. CrystEngComm 2019, 21, 6196–6207. [Google Scholar]
  • (48).Wang WD; Gao X; Strohmeier M; Wang W; Bai S; Dybowski C Solid-state NMR studies of form I of atorvastatin calcium. J. Phys. Chem. B 2012, 116, 3641–3649. [DOI] [PubMed] [Google Scholar]
  • (49).Brus J; Urbanova M; Sedenkova I; Brusova H New perspectives of 19F MAS NMR in the characterization of amorphous forms of atorvastatin in dosage formulations. Int. J. Pharm. 2011, 409, 62–74. [DOI] [PubMed] [Google Scholar]
  • (50).Adhikari BR; Kim D; Bae JH; Yeon J; Roshan KC; Kang SK; Lee EH New category for active pharmaceutical ingredients, a low molecular weight organogelator: crystal structure of atorvastatin calcium and its unusual phase transition behavior during dissolution. Cryst. Growth Des. 2016, 16, 7198–7204. [Google Scholar]
  • (51).Hodge RL; Kaduk JA; Gindhart AM; Blanton TN Crystal structure of atorvastatin calcium trihydrate Form I (Lipitor®), (C33H34FN2O5)2Ca(H2O)3. Powder Diffr. 2020, 35, 136–143. [Google Scholar]
  • (52).Gates-Rector S; Blanton T The powder diffraction file: a quality materials characterization database. Powder Diffr. 2019, 34, 352–360. [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supporting information

RESOURCES