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. 2022 Jul 1;144(27):12421–12430. doi: 10.1021/jacs.2c04262

Strategy for Engineering High Photolysis Efficiency of Photocleavable Protecting Groups through Cation Stabilization

Albert M Schulte , Georgios Alachouzos †,*, Wiktor Szymański †,‡,*, Ben L Feringa †,*
PMCID: PMC9284546  PMID: 35775744

Abstract

graphic file with name ja2c04262_0010.jpg

Photolabile protecting groups (PPGs) enable the precise activation of molecular function with light in many research areas, such as photopharmacology, where remote spatiotemporal control over the release of a molecule is needed. The design and application of PPGs in recent years have particularly focused on the development of molecules with high molar absorptivity at long irradiation wavelengths. However, a crucial parameter, which is pivotal to the efficiency of uncaging and which has until now proven highly challenging to improve, is the photolysis quantum yield (QY). Here, we describe a novel and general approach to greatly increase the photolysis QY of heterolytic PPGs through stabilization of an intermediate chromophore cation. When applied to coumarin PPGs, our strategy resulted in systems possessing an up to a 35-fold increase in QY and a convenient fluorescent readout during their uncaging, all while requiring the same number of synthetic steps for their preparation as the usual coumarin systems. We demonstrate that the same QY engineering strategy applies to different photolysis payloads and even different classes of PPGs. Furthermore, analysis of the DFT-calculated energy barriers in the first singlet excited state reveals valuable insights into the important factors that determine photolysis efficiency. The strategy reported herein will enable the development of efficient PPGs tailored for many applications.

Introduction

Photolabile protecting groups (PPGs) are chemical moieties that can be synthetically introduced to a substrate of interest and subsequently be removed simply by irradiation with light of a suitable wavelength. Due to this unique property, they are widely used to remotely control the concentration of molecules with a particular function of interest (payloads)16 because they allow for high spatiotemporal control over the payload release. PPGs have proven their utility in a variety of fields, ranging from molecular biology and organic synthesis to materials science.712

A critical property fundamental to the applicability of PPGs is the efficiency of payload release. This efficiency is captured in the mathematical product of two factors: (i) the ability of the PPG to absorb photons at the irradiation wavelength (represented by the molar attenuation coefficient ε, M–1 cm–1) and (ii) the photochemical uncaging process quantum yield (φ, QY). In recent years, significant progress has been made in improving the first parameter, especially directed at the development of PPGs with high ε at bathochromically shifted irradiation wavelengths.1319 However, thus far, enhancing the second parameter—the photochemical QY—has remained challenging. Given the role of QY in the overall efficiency of uncaging, a general strategy for reliably increasing QY is needed, and this would represent a major step forward for the field of PPG development.

The importance of photochemical quantum yield is exemplified in the field of photopharmacology, where PPGs are used to suppress the activity of a bioactive payload in the covalently bound photocaged form. Subsequent on-site release of the bioactive molecule is achieved through light irradiation, preventing systemic side effects in nonirradiated areas.1,2,2024 The importance of molar absorptivity (ε) has been widely recognized in photopharmacology and has led to impressive progress for red- or green-light responsive PPGs featuring high ε, such as those derived from the BODIPY and coumarin scaffolds.14,1719,25 However, in most cases, high ε at long irradiation wavelengths was achieved at the expense of photochemical QY, negatively affecting the overall efficiency of these PPGs.26 Few exceptions to this trend often rely on the introduction of extended π-systems with strongly electron-donating moieties into the PPG structure, yet these strategies come at a great synthetic step cost, and the flat, extended π-systems suffer from low aqueous solubility, restricting their use in photopharmacology.27,28

Here, we present a rational strategy for increasing PPG efficiency, hinging on a detailed investigation into the important factors that determine PPG QYs. Taking fundamental organic chemistry principles as the starting point and supporting them with a DFT computational approach, we focused on 7-diethylaminocoumarins as a model class of PPGs. The synthetic accessibility of coumarins and their visible light responsiveness12,29 have led to their privileged use for the photocaging of various functionalities, such as carboxylic acids, alcohols, and amines (as their carbonate and carbamate esters, respectively),30 making them an ideal showcase for our strategy. Furthermore, we also show that our strategy is general and extends to other classes of PPGs that utilize heterolytic bond cleavage in their photochemical step, as opposed to different classes of PPGs, such as ortho-nitrobenzyls, whose uncaging mechanism relies on other processes.3 Finally, we demonstrate how the fluorescence increase that we observe during the uncaging of the new subtype of PPGs introduced here can be used as a convenient readout of the progress of the uncaging process in a complex biological system.

Mechanism of Coumarin PPG Photocleavage

The mechanism of photocleavage of coumarin PPGs relies on heterolytic bond cleavage in the first singlet excited state (S1).30 After photon absorption to S1, weakening of the bond between the payload and the α-carbon allows for the excited state breakage of this bond (Scheme 1, k1).30,31 Upon breakage of the payload-PPG bond, a contact ion pair (CIP) intermediate is formed, in which the positive charge is located on the coumarin chromophore and the negative charge on the payload.3033 The formed CIP intermediate can now undergo two different processes: (i) the unproductive process, i.e., recombination to reform the substrate (Scheme 1, red k–1), or (ii) the productive process that results in payload release: diffusion to a solvent separated ion pair (SSIP, not shown) accompanied by solvent trapping to quench the carbocation (Scheme 1, both processes combined in blue k2).

Scheme 1. Schematic Representation of the Coumarin Photocleavage Mechanism Highlighting the Contact Ion Pair (CIP) Intermediate.

Scheme 1

Shown is a model coumarin with a model carboxylic acid payload, in which the fused aromatic ring of the coumarin chromophore is abbreviated by a semicircle.

Lowering the energy of the CIP through the use of payloads that effectively stabilize the generated negative charge (i.e., payloads with a low pKa of their conjugate acid) has been shown to improve photochemical QY.31 However, engineering an increase of the QY in this manner is impractical or often even impossible, since the stability of the negative charge is inherent to the payload and cannot be conveniently engineered without compromising other payload chemical properties (e.g., its bioactivity). On the other hand, the stabilization of the other component of the CIP, the PPG chromophore cation, represents an underexplored and potentially superior approach in that it would offer a general strategy for increasing the QY of PPGs that rely on heterolytic bond cleavage, independent of the chemical nature of the payload.

Design

Although CIP formation is a fast process in coumarin PPGs, recombination of the CIP (k–1) is significantly faster than the competing productive pathway k2.31 Based on this observation, it was deduced that rather than promoting heterolysis toward CIP formation, slowing down CIP recombination itself (i.e., lowering k–1) would be a viable strategy to significantly increase PPG photochemical QY.

In the coumarin photocleavage process, the positive charge on the α-carbon (adjacent to the payload, Scheme 1) in the CIP intermediate cannot be efficiently stabilized through delocalization or hyperconjugation. Being a primary cation, it is expected to be high in energy, favoring CIP recombination back to the substrate rather than the productive step (Figure 1a, k–1 and k2, respectively). Based on this simple analysis, we sought to increase photolysis efficiency through direct stabilization of this cationic intermediate, thereby retarding its unproductive recombination by increasing the kinetic barrier for this process (Figure 1a vs 1b, k–1). We hypothesized that the rate of CIP diffusion followed by solvent trapping (Figure 1, k2) depends on constant coulombic forces and will be independent of the overall CIP stability. Therefore, while stabilization of the cationic intermediate will increase the barrier of the unproductive step k–1, it will not increase the barrier of the productive step k2. Consequentially, it will result in a higher ratio of the rates of k2 over k–1, increasing the overall PPG photochemical QY (Figure 1b).

Figure 1.

Figure 1

(a) Energy diagram of the coumarin photolysis mechanism after excitation, showing an unstable CIP intermediate resulting in a high rate of CIP recombination, a relatively low rate of the productive step (k2), and consequentially a low photochemical QY. (b) A stabilized CIP intermediate, reducing the rate of CIP recombination and consequentially increasing the photochemical QY. (c) Coumarin PPGs bearing substituents on the α-carbon (black) stabilizing the cationic intermediate through delocalization and hyperconjugation, as described in this paper. All coumarins are caging an acetic acid payload (gray).

In fact, intermediate cation stabilization through hyperconjugation via methyl substitution at the carbon bearing the payload to produce “secondary coumarins” has been previously attempted, but only showed marginal improvements in quantum yield.34 Consequently, given the stability of allylic cations, we hypothesized that installing an allylic system onto the coumarin α-carbon (Figure 1c, Allylic) should significantly stabilize the incipient positive charge formed upon photoheterolysis. Since the double bond in the allylic substituent is not in conjugation with the chromophore, its influence on photochemical and photophysical properties would likely be restricted to CIP cation stability after photoheterolysis, while the wavelength of absorption and the molar attenuation coefficient should be relatively unaffected. Mono- or di-methyl substitution on the allylic system (Figure 1c, compounds 2 and 3) was expected to confer extra stabilization through hyperconjugation and further increase cation stability. In a similar fashion, we hypothesized that direct geminal dimethylation of the α-carbon itself would stabilize the incipient CIP tertiary cation through hyperconjugation (Figure 1c, Tertiary 4), in line with results we reported earlier this year.19

Results

DFT Calculations

Density functional theory (DFT) calculations were performed to study the effect of the nature of the allylic or tertiary cations on the calculated energy barriers of CIP formation and recombination in the first singlet excited state (S1, Figure 2, ΔGk1 and ΔGk–1, respectively). In all computed structures, acetic acid was chosen as the simple model payload. Geometries were optimized at the MN15/Def2SVP/SMD = H2O level of theory,3537 and the energy barriers shown are extrapolated from the ZPE-corrected free energies obtained at the same level of theory. The employed level of theory was expected to give a good balance of computational cost to computed free energy accuracy, although it should be noted that DFT ground state or TD-DFT excited-state calculations with implicit solvent model SMD for reactions involving neutral and ion pair species may be prone to errors. Given that literature describes CIP recombination and relaxation to S0 as a concerted process,30,31 we decided to consider both S0 and S1 cations in our calculations. However, we were unable to find a stable CIP at the S0 energy level (vide infra, page 10) and therefore based our calculations on the S1 energy level. For the designed compounds 14 (Figure 1c), the barrier of CIP recombination was calculated to be significantly increased as compared to a reference primary coumarin with the same acetic acid payload (Figure 2, red bars). The extent of increase followed an expected trend depending on the degree of hyperconjugation and delocalization. Cation stabilization through allyl substitution on coumarins 13 was found to increase the energy barrier of CIP recombination more than hyperconjugation did in tertiary coumarin 4. Although the heterolysis barrier k1 also differed depending on the substituents on the α-carbon (Figure 2, gray bars), less variation was observed in the energy levels of this barrier. The k1 barriers for allylic coumarins 1–3 were predicted to be energetically nearly identical (Figure 2, gray bars).

Figure 2.

Figure 2

Energy barriers for the k1 and k–1 steps for designed coumarins 1–4 and model primary and secondary coumarins as calculated by DFT (obtained at the MN15/Def2SVP/SMD = H2O level of theory).

Synthesis

Encouraged by the DFT calculations that predicted significantly increased energy barriers for CIP recombination in the designed coumarin-based PPGs, we set out to synthesize compounds 14 and study their photochemical properties. The newly designed photocages were all synthesized through a previously reported aldehyde intermediate 5.38 Reactions of this aldehyde with a variety of allylic Grignard reagents gave the three allylic coumarin alcohols with varying methyl substitution at the northern sp2-carbon (Scheme 2). The model photocage—primary coumarin alcohol—is generally also obtained through one synthetic step from the same aldehyde, highlighting the synthetic accessibility of allylic coumarins 6–8. Subsequently, the allylic coumarin alcohols were loaded with the model payload acetic acid through acetylation with acetic anhydride in the presence of DMAP as a nucleophilic catalyst.

Scheme 2. Synthetic Route for the Formation of Allylic Coumarins 1–3 and Tertiary Coumarin 4.

Scheme 2

Alcohol precursors (blue) were synthesized and acetylated to yield model compounds 14 (red).

The synthesis of tertiary coumarin 4 started from secondary coumarin alcohol 9, which was oxidized to the ketone and treated with a methyl Grignard reagent to produce the tertiary alcohol 10 (Scheme 2). Tertiary alcohol 10 was loaded with the same model payload acetic acid through acetylation to yield coumarin 4.

Photochemistry

With the synthesized compounds 14 in hand, we sought to explore their photochemical properties using UV–vis spectroscopy and 1H-NMR analysis. Gratifyingly, irradiation (λ = 400 nm) of 14 followed by 1H-NMR analysis confirmed that all compounds released the payload acetic acid upon irradiation (Figure 3a,b and SI Section 7). UV–vis spectroscopy (Figure 3c) revealed that the absorption maxima of 13 were indeed comparable to that of primary coumarin: absorption spectra of 13 showed an average 4 nm red-shift as compared to that of the primary coumarin model (λmax = 396 and 392 nm, respectively). As presumed, the molar attenuation coefficients of allylic coumarins 13 were similar to that of primary coumarin with an acetic acid payload (ε values = 13.700–17.500 M–1 cm–1). Irradiation (λ = 390 nm) of compounds 14 in water led to rapid (within seconds) changes in absorption spectra with clear isosbestic points (Figure 3c). Analysis of irradiated samples by 1H-NMR and UPLC-MS revealed that allylic coumarins 13 formed the corresponding allylic alcohols upon irradiation, the result of water trapping of the cationic intermediate (Figure 3a,d). In contrast, tertiary coumarin 4 underwent elimination toward an alkene rather than water trapping (Figure 3b,d). Furthermore, for two allylic coumarins 12, upon irradiation, a small fraction (∼15%) of a product with a mass identical to the substrate was observed. This is believed to be the result of acetate payload rearrangement to the allylic carbon (Figure 3d and SI Section 9). Irradiation of allylic coumarin 3 did not result in payload rearrangement, and this compound displayed clean conversion to the alcohol as a result of water trapping (Figure 3d).

Figure 3.

Figure 3

(a) Partial 1H-NMR spectrum of the alcohol photoproduct isolated after dilute irradiation of 3 (water/MeCN 9:1 ∼190 μM, λ = 400 nm, 5 min, spectrum in CDCl3) and AcOH signal obtained after irradiation of 3 in 1:1 DMSO-d6/D2O. For the full spectra, please see the Supporting Information, Section 7. (b) Partial 1H-NMR spectrum obtained after irradiation of 4 in 1:1 DMSO-d6/D2O (λ = 400 nm, 30 min) and AcOH signal obtained after irradiation of 3 in 1:1 DMSO-d6/D2O and spiking with AcOH. (c) Absorption spectra of the allylic coumarins (water/acetonitrile, 99:1), freshly prepared solutions, and solutions after irradiation (λ = 390 nm) for the times indicated. (d) Overview of the observed photoproducts after irradiation for the allylic coumarins 1–3 and tertiary coumarin 4, relative amounts were determined by UPLC-MS peak integration. (e) Quantum yields for the uncaging of coumarin acetates in water/acetonitrile (3–5% MeCN), shown are averages and SD-values from triplicate measurements. (f) Exponential plot of photochemical QY and DFT-calculated k1 barrier height. (g) Exponential plot of photochemical QY and DFT-calculated k–1 over k1 barrier height. The linear curve fit indicates the exponential dependence of QY on the relative barrier height.

The quantum yields of PPG consumption were determined by UV–vis spectroscopy in water with a small amount of acetonitrile. As reference model compounds, widely used primary and secondary coumarin PPGs with the same acetic acid payload were also studied. To our delight, cation stabilization resulted in a remarkably high QY for all newly designed coumarins, with the allylic coumarin 3 showing a QY as high as 27%, a 16-fold increase over its primary coumarin model (Figure 3e). Notably, uncaging cross sections of up to ∼3.7 × 103 were achieved with the allylic coumarins 13 (Table 1).

Table 1. Photochemical Properties of Coumarin PPGs 14 and Model 1 and 2° Coumarinsa.

PPG CPD no. λmax (nm) ε (L mol–1 cm–1)/103 QY ε × QY/103 ΔGk–1 (kcal mol–1)
  393 16.4 0.017 0.27 2.23
  389 18.2 0.024 0.44 3.27
4 394 15.9 0.105 1.7 9.82
  1 398 17.5 0.157 2.7 12.51
allylic 2 397 16.6 0.192 3.2 13.74
  3 396 13.8 0.270 3.7 15.60
a

Included are λmax values, molar absorptivity (ε) at λ = 400 nm, quantum yield (QY), uncaging cross section at λ = 400 nm (ε × QY), and the energy barrier for CIP recombination, as calculated by DFT (ΔGk–1).

To rationalize these results, the observed heterolysis QYs were compared to the heterolysis energy barriers of CIP formation and recombination, as calculated by DFT. Gratifyingly, we found that the barrier height of the unproductive k–1 process (the CIP recombination) was a good predictor for the quantum yield (SI, Figure S93). In contrast, we observed that the calculated energy barrier for the k1 process correlated poorly to photochemical QY (Figure 3f). These findings confirm our initial hypothesis that the limiting factor in coumarin photochemical QY is CIP recombination, rather than CIP formation itself. Also, the relative barrier height ratio of k–1 over k1 showed a strong correlation with photochemical QY, exhibiting an exponential relationship between this relative barrier height ratio and the QY (Figure 3g). These results demonstrate that retarding CIP recombination results in drastic enhancements in photochemical QY, and, moreover, confirm this as a viable strategy for improving the PPG efficiency. A possible explanation for the poor correlation of k1 barrier height to the QY could be that this barrier is partially overcome through excitation to a higher vibrational level in S1, regardless of the nature of the incipient CIP cation. This hypothesis is supported by the large Stokes shift of 7-diethylamino-coumarins (Supporting Information, Figure S49), suggesting that a higher S1 vibrational level is almost always accessed upon excitation. Although the barrier height of the seemingly important productive forward step k2 is not included in this calculation, our calculations nonetheless provide an exponential trend correlating the reversibility of CIP formation to QY. This suggests that the k2 barrier height is energetically comparable for all shown coumarin photocages, also confirming our initial hypothesis that this barrier is largely independent of CIP stability. This is plausible, since both the acetate payload and the photoproduct cations in the CIPs formed from the photoheterolysis of each PPG variant 14 are similar in their electrostatic topology and thus must be similar in their Coulombic nature. Thus, the diffusion rate out of the CIP, ultimately resulting in productive cation trapping by the solvent, would be expected to be near-identical for each PPG variant 14.

The photochemical quantum yield of tertiary coumarin 4 (Figure 3g, dark blue) did not fit the predicted trend. This discrepancy can be explained by the fact that tertiary coumarin 4 exhibits a different mechanism of CIP escape. Whereas the usual mechanism of CIP escape is diffusion followed by solvent trapping, tertiary coumarin exhibited elimination toward an alkene (Figure 3b). Since the photochemical quantum yield of tertiary coumarin is higher than expected (i.e., it can be found above the curve fit), it can be concluded that its deprotonation barrier must be lower than the k2 barrier for the Allylic coumarins 13 and primary and secondary coumarins. Currently, we are performing further studies on the effect of the k2 barrier on PPG photoheterolysis efficiency.

In literature describing the coumarin PPG mechanism of photocleavage, often CIP recombination and relaxation to S0 is reported as a concerted process (i.e., a conical intersection of the S1 and S0 potential energy surfaces exists at the CIP recombination event).30,31 However, one must also consider the possibility that relaxation back to S0 happens before CIP recombination and, thus, that CIP recombination happens on the S0 potential energy surface. We could not find definitive evidence for this situation, but nonetheless, we attempted to calculate the energy barriers for CIP recombination on the S0 potential energy surface as well. Our DFT calculations were unable to find a stable CIP in the S0 state or even a heterolysis transition state for all described coumarins 14. Although we can’t fully exclude some extent of recombination occurring in the ground state, the good correlation of the measured QYs with the S1 energy barriers suggests that CIP recombination in S1 seems the most reasonable. In a recent paper by Contreras-García et al., no local minimum was found either for the ion pair—and thus no energy barrier for CIP recombination—in the ground state.39

Allylic Substitution as a General Strategy for Quantum Yield Enhancement

Since the photochemical QY improvement of coumarin photocages was achieved through the stabilization of the cationic chromophore component of the CIP, we predicted that it would be a general strategy for QY improvement that would also hold for payloads other than carboxylic acids. To explore this generality, the allylic PPG with the highest QY (compound 3) was also used to cage and release another moiety that is often photocaged in bioactive payloads: an amine group. Due to their inability to stabilize a negative charge, amines are generally photocaged as their carbamate analogues.40 Two photocages bearing an amine payload were synthesized, one bearing the allylic substituent on the α-carbon (Figure 4a, 12, red) and a primary reference compound (Figure 4a, 11, black). Upon comparing their photochemical quantum yields, we were pleased to find that the allylic carbamate also displayed very efficient photolysis. Its quantum yield underwent an >35-fold improvement over that of the model primary coumarin bearing the same carbamate payload, an even more pronounced effect than the one that was observed for acetate payloads. These results highlight the robustness of this approach: PPG cation stabilization is a general way to slow down CIP recombination, which is expected to improve photochemical QY for a diverse subset of payloads.

Figure 4.

Figure 4

(a) Quantum yields (55 μM, 9:1 water/MeCN) of coumarin-carbamates 11 (black bar) and 12 (red bar). Irradiation-dependent absorption spectra (20 μM, water/MeCN 99:1) of coumarin-carbamate 12. (b) Relative uncaging rate of BODIPY 13 (black bar) and 14 (blue bar) (10 μM, water/MeCN 9:1). Irradiation-dependent absorption spectra (10 μM, water/MeCN 9:1) of BODIPY 14.

Finally, we aimed to see if this optimization strategy holds also for a different member of the class of heterolytic PPGs. Arguably, all PPGs belonging to this class would benefit from a stabilized incipient chromophore cation through allylic substitution at the α-carbon. To illustrate this, we set out to introduce allylic substitution on another widely used class of photocages, BODIPY PPGs. Allylic-BODIPY PPG 14 (Figure 4b, blue) was synthesized and confirmed to release acetic acid upon irradiation (SI Section 7). Interestingly, rather than photobleaching that is often observed for BODIPY photocages, Allylic-BODIPY PPG 14 showed clean conversion to a different BODIPY photoproduct with a clear isosbestic point (Figure 4b). The photoproduct is likely the result of water trapping of the cation (1H-NMR, SI Figure S60). Finally, the rate of deprotection of Allylic-BODIPY PPG 14 was compared to that of primary BODIPY 13 at the same concentration. A 7-fold improvement in rate was found. Since the molar attenuation coefficients at the irradiation wavelength (λ = 530 nm) for both compounds are virtually the same (see the Supporting Information for details), the samples exhibited very similar absorption, allowing us to translate the rate improvement directly to the 7-fold improvement in quantum yield. These findings illustrate the versatility of this simple principle: our strategy of cation stabilization results in significant improvements in photochemical QY and holds for multiple types of PPGs.

Fluorescence Properties of the Coumarin Uncaging Product

In the photoheterolysis process in aqueous media, the allylic coumarin PPGs 13 undergo water trapping to form alcohols. Large-scale irradiation of allylic coumarin 3 with dimethyl substitution allowed for the detailed characterization of its photoproduct. The isolated alcohol 15 (Figure 5b) was presumably the result of an irradiation-dependent SN1′ type of reaction, in which the double bond had rearranged (Figure 5a) and water trapping occurred at the northern tertiary carbon atom, likely due to the higher stability of the cation at this position. Due to the extended conjugation of the chromophore established after the double bond had rearranged, the absorption spectrum of this photoproduct showed a bathochromic shift as compared to the starting material (Figure 3c). Fluorescence characterization of this compound also revealed a pronounced bathochromic shift of its fluorescence emission spectrum as compared to the photocaged substrate, with the photoproduct showing an intense emission band between 550 and 650 nm (Figure 5b) and a fluorescence quantum yield of ∼10% (See the SI, Section 6). Because of the bathochromic shift of both the absorption- and emission spectrum of the photoproduct, during the deprotection process, the fluorescence signal of the photoproduct could be addressed almost exclusively through excitation and emission readout at red-shifted wavelengths (λ = 434 and 565 nm, respectively).

Figure 5.

Figure 5

(a) Structure of the fluorescent coumarin uncaging product formed after irradiation of allylic coumarins 13. (b) Normalized fluorescence spectrum of the photoproduct of allylic coumarin 3 (20 μM, Water/MeCN 99:1). (c) Normalized fluorescence spectra of allylic coumarins 1–3 (20 μM, Water/MeCN 99:1, λexc: 434 nm). Fluorescence spectra of the same samples were recorded before (black curves) and after irradiation (λmax = 400 nm, 90 s, red curves).

In a similar way, allylic coumarin 2 also showed conversion to the rearranged alcohol upon irradiation, enabling a similar fluorescence readout of the uncaging process (Figure 5c). In contrast, upon irradiation, allylic coumarin 1 produced a mixture of both the rearranged alcohol and the product of direct water substitution at the α-carbon, slightly affecting its fluorescence response (Figure 5c). However, since the rearranged alcohol had distinct fluorescence properties, a similar fluorescent sensitivity for the uncaging process could be achieved at red-shifted wavelengths. It should be strongly emphasized that the significant enhancement in fluorescent properties for allylic coumarins 1–3 upon irradiation can be used to follow the payload release through normalization of the fluorescence signal.4143

To illustrate the utility of the allylic PPGs 13 and their fluorescence properties, we aimed to use the PPGs to photocage a model bioactive compound and release this compound upon irradiation in a process whose progress could be independently followed solely by fluorescence. Due to our lab’s experience in the photoactivation of antibiotics,4447 we have chosen piperacillin—a potent member of the β-lactam class—as a model bioactive compound.

Since the caged antibiotics were to be used in a 24-h bacterial growth assay, the hydrolytic stability of the model photocaged compounds 13 was first evaluated. Allylic photocages 1 and 2 showed excellent hydrolytic stability, forming no hydrolysis product after 15 h at 25 °C in the dark. Allylic photocage 3, however, showed slight hydrolysis after 15 h, likely by virtue of its superior cation stability after hydrolysis (SI, Figure S89). Given its greater hydrolytic stability, it was decided to use allylic photocage 1 for the construction of the caged antibiotics whose activation can be followed by fluorescence.

In an initial assay, the minimal inhibitory concentration (MIC) of piperacillin towardEscherichia coliCS1562 was determined to be 0.5–1.0 μM (SI, Figure S84). The required photocaged piperacillin 16 (Figure 6a) was conveniently obtained through a Steglich esterification of piperacillin with the corresponding allylic alcohol 6.

Figure 6.

Figure 6

(a) Irradiation of allyl-piperacillin 16 resulting in the formation of the antimicrobial and a fluorescent reporter of payload release. (b) Fluorescence response of allyl-piperacillin 16 upon irradiation (20 μM, water/acetonitrile 8:2, irradiation at λmax = 400 nm, fluorescence excitation at λ = 434 nm, readout at λ = 565 nm). (c) Results of the antimicrobial assay. The predicted piperacillin concentrations calculated from the fluorescence response are reported, as well as the irradiation time (in seconds). Blue bars show bacterial growth, indicating piperacillin concentrations below the MIC. Red bars show full growth inhibition, indicating piperacillin concentrations above the MIC.

Irradiation of photocage 16 showed the expected emergence of a fluorescent response due to double bond rearrangement (Figure 6b). The predicted degree of payload release was calculated from the fluorescence signal through an exponential decay curve fit and was corrected for the observed amount of payload rearrangement (10%, UPLC-MS, SI). To our delight, the predicted concentrations of the liberated piperacillin (obtained after irradiation with λ = 400 nm light for much less than a minute) corresponded perfectly to bacterial growth inhibition (Figure 6c). A predicted piperacillin concentration of 0.88 μM showed bacterial growth inhibition, whereas 0.66 μM still allowed for bacterial growth. This indicates that the fluorescence-determined MIC was 0.66–0.88 μM, well within our independently determined MIC of 0.5–1.0 μM.

These results confirm the practical utility of the allylic photocages reported herein and illustrate the reliability of the fluorescent signal that can be used to quantitatively predict the amount of bioactive payload released in biological assays. In sum, our newly developed PPGs 1–3 developed using the QY enhancement strategy described herein allowed for the rapid release of complex biological payloads while enabling a convenient fluorescence readout method for monitoring the uncaging process.

Discussion

In this study, we identify an approach for preventing CIP recombination in PPG photolysis as a key strategy to greatly increase the photolysis QY. The QY enhancement strategy is supported by DFT calculations, which predict higher energy barriers for the recombination process. An excellent correlation between the reversibility k–1 of the heterolytic step and the photochemical quantum yield was observed. We also concluded that a poor correlation exists between the calculated k1 barrier and our measured QYs and have thus demonstrated that preventing recombination of the CIP, rather than kinetically stimulating its formation, is a crucial strategy in increasing PPG efficiency. Furthermore, we showed that our strategy for increasing PPG efficiency through incipient cation stabilization is general for different payloads (carboxylic acids and amines) and for different PPG classes (coumarin and BODIPY PPGs), again demonstrating the versatility of this simple principle.

Given their synthetic accessibility and high photochemical QYs, the efficient PPGs 1–3 themselves, designed applying the cation stabilization strategy showcased herein, could prove valuable in assays that require near-instant release of a payload, such as those in time-resolved structural biology studies.48 Furthermore, the fluorescent readout of PPGs 1–3 can be reliably used to quantify the amount of complex biological payload release in complex biological environments, as is also demonstrated.

We believe the new PPG design strategy demonstrated herein directly addresses the need for increasing PPG efficiency in the rapidly expanding research fields that rely on precise activation of molecular function with light. Our QY engineering strategy will undoubtedly prove valuable for the development of ideal photocages tailored for more complex applications, for example (but not limited to), red-shifted photocages with high quantum yields for use in photopharmacology.

Acknowledgments

The authors are grateful for the generous funding support to G.A. (EMBO LTF-232-2020 Postdoctoral Fellowship), and to B.L.F. (ERC Advanced Investigator Grant No. 694345; and the Ministry of Education, Culture and Science of The Netherlands Gravitation Program No. 024.001.035). The authors are grateful to J.L. Sneep for collecting high-resolution mass spectrometry data for all newly reported compounds. The authors thank the Center for Information Technology of the University of Groningen for their support and for providing access to the Peregrine high-performance computing cluster.

Supporting Information Available

The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/jacs.2c04262.

  • Synthetic methods, NMR-spectra, photochemical data, bacterial growth curves, computational data, and ambient light stability (PDF)

The authors declare no competing financial interest.

Supplementary Material

ja2c04262_si_001.pdf (8.5MB, pdf)

References

  1. Welleman I. M.; Hoorens M. W. H.; Feringa B. L.; Boersma H. H.; Szymański W. Photoresponsive Molecular Tools for Emerging Applications of Light in Medicine. Chem. Sci. 2020, 11, 11672–11691. 10.1039/D0SC04187D. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Hansen M. J.; Velema W. A.; Lerch M. M.; Szymanski W.; Feringa B. L. Wavelength-Selective Cleavage of Photoprotecting Groups: Strategies and Applications in Dynamic Systems. Chem. Soc. Rev. 2015, 44, 3358–3377. 10.1039/C5CS00118H. [DOI] [PubMed] [Google Scholar]
  3. Klán P.; Šolomek T.; Bochet C. G.; Blanc A.; Givens R.; Rubina M.; Popik V.; Kostikov A.; Wirz J. Photoremovable Protecting Groups in Chemistry and Biology: Reaction Mechanisms and Efficacy. Chem. Rev. 2013, 113, 119–191. 10.1021/cr300177k. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Šolomek T.; Wirz J.; Klán P. Searching for Improved Photoreleasing Abilities of Organic Molecules. Acc. Chem. Res. 2015, 48, 3064–3072. 10.1021/ACS.ACCOUNTS.5B00400. [DOI] [PubMed] [Google Scholar]
  5. Brieke C.; Rohrbach F.; Gottschalk A.; Mayer G.; Heckel A. Light-Controlled Tools. Angew. Chem., Int. Ed. 2012, 51, 8446–8476. 10.1002/anie.201202134. [DOI] [PubMed] [Google Scholar]
  6. Bardhan A.; Deiters A. Development of Photolabile Protecting Groups and Their Application to the Optochemical Control of Cell Signaling. Curr. Opin. Struct. Biol. 2019, 57, 164–175. 10.1016/j.sbi.2019.03.028. [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Huang Q.; Bao C.; Ji W.; Wang Q.; Zhu L. Photocleavable Coumarin Crosslinkers Based Polystyrene Microgels: Phototriggered Swelling and Release. J. Mater. Chem. 2012, 22, 18275–18282. 10.1039/c2jm33789d. [DOI] [Google Scholar]
  8. Bochet C. G. Photolabile Protecting Groups and Linkers. J. Chem. Soc., Perkin Trans. 1 2002, 2, 125–142. 10.1039/B009522M. [DOI] [Google Scholar]
  9. Fodor S. P. A.; Read J. L.; Pirrung M. C.; Stryer L.; Lu A. T.; Solas D. Light-Directed, Spatially Addressable Parallel Chemical Synthesis. Science 1991, 251, 767–773. 10.1126/SCIENCE.1990438. [DOI] [PubMed] [Google Scholar]
  10. Hoffmann N. Photochemical Reactions as Key Steps in Organic Synthesis. Chem. Rev. 2008, 108, 1052–1103. 10.1021/CR0680336. [DOI] [PubMed] [Google Scholar]
  11. Deshpande R. K.; Waterhouse G. I. N.; Jameson G. B.; Telfer S. G. Photolabile Protecting Groups in Metal–Organic Frameworks: Preventing Interpenetration and Masking Functional Groups. Chem. Commun. 2012, 48, 1574–1576. 10.1039/C1CC12884A. [DOI] [PubMed] [Google Scholar]
  12. Ellis-Davies G. C. R. Caged Compounds: Photorelease Technology for Control of Cellular Chemistry and Physiology. Nat. Methods 2007, 4, 619–628. 10.1038/nmeth1072. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Weinstain R.; Slanina T.; Kand D.; Klán P. Visible-to-NIR-Light Activated Release: From Small Molecules to Nanomaterials. Chem. Rev. 2020, 120, 13135–13272. 10.1021/ACS.CHEMREV.0C00663. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Slanina T.; Shrestha P.; Palao E.; Kand D.; Peterson J. A.; Dutton A. S.; Rubinstein N.; Weinstain R.; Winter A. H.; Klán P. In Search of the Perfect Photocage: Structure–Reactivity Relationships in Meso -Methyl BODIPY Photoremovable Protecting Groups. J. Am. Chem. Soc. 2017, 139, 15168–15175. 10.1021/jacs.7b08532. [DOI] [PubMed] [Google Scholar]
  15. Sitkowska K.; Feringa B. L.; Szymański W. Green-Light-Sensitive BODIPY Photoprotecting Groups for Amines. J. Org. Chem. 2018, 83, 1819–1827. 10.1021/acs.joc.7b02729. [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Sitkowska K.; Hoes M. F.; Lerch M. M.; Lameijer L. N.; van der Meer P.; Szymański W.; Feringa B. L. Red-Light-Sensitive BODIPY Photoprotecting Groups for Amines and Their Biological Application in Controlling Heart Rhythm. Chem. Commun. 2020, 56, 5480–5483. 10.1039/D0CC02178D. [DOI] [PubMed] [Google Scholar]
  17. Peterson J. A.; Wijesooriya C.; Gehrmann E. J.; Mahoney K. M.; Goswami P. P.; Albright T. R.; Syed A.; Dutton A. S.; Smith E. A.; Winter A. H. Family of BODIPY Photocages Cleaved by Single Photons of Visible/Near-Infrared Light. J. Am. Chem. Soc. 2018, 140, 7343–7346. 10.1021/jacs.8b04040. [DOI] [PubMed] [Google Scholar]
  18. Shrestha P.; Dissanayake K. C.; Gehrmann E. J.; Wijesooriya C. S.; Mukhopadhyay A.; Smith E. A.; Winter A. H. Efficient Far-Red/Near-IR Absorbing BODIPY Photocages by Blocking Unproductive Conical Intersections. J. Am. Chem. Soc. 2020, 142, 15505–15512. 10.1021/jacs.0c07139. [DOI] [PubMed] [Google Scholar]
  19. Alachouzos G.; Schulte A. M.; Mondal A.; Szymanski W.; Feringa B. L. Computational Design, Synthesis, and Photochemistry of Cy7PPG, an Efficient NIR-Activated Photolabile Protecting Group for Therapeutic Applications. Angew. Chem., Int. Ed. 2022, 10.1002/anie.202201308. [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Velema W. A.; Szymanski W.; Feringa B. L. Photopharmacology: Beyond Proof of Principle. J. Am. Chem. Soc. 2014, 136, 2178–2191. 10.1021/ja413063e. [DOI] [PubMed] [Google Scholar]
  21. Lerch M. M.; Hansen M. J.; van Dam G. M.; Szymanski W.; Feringa B. L. Emerging Targets in Photopharmacology. Angew. Chem., Int. Ed. 2016, 55, 10978–10999. 10.1002/ANIE.201601931. [DOI] [PubMed] [Google Scholar]
  22. Hüll K.; Morstein J.; Trauner D. In Vivo Photopharmacology. Chem. Rev. 2018, 118, 10710–10747. 10.1021/acs.chemrev.8b00037. [DOI] [PubMed] [Google Scholar]
  23. Vorobev A. Y.; Moskalensky A. E. Long-Wavelength Photoremovable Protecting Groups: On the Way to in Vivo Application. Comput. Struct. Biotechnol. J. 2020, 18, 27–34. 10.1016/J.CSBJ.2019.11.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Broichhagen J.; Frank J. A.; Trauner D. A Roadmap to Success in Photopharmacology. Acc. Chem. Res. 2015, 48, 1947–1960. 10.1021/acs.accounts.5b00129. [DOI] [PubMed] [Google Scholar]
  25. Palao E.; Slanina T.; Muchová L.; Šolomek T.; Vítek L.; Klán P. Transition-Metal-Free CO-Releasing BODIPY Derivatives Activatable by Visible to NIR Light as Promising Bioactive Molecules. J. Am. Chem. Soc. 2016, 138, 126–133. 10.1021/jacs.5b10800. [DOI] [PubMed] [Google Scholar]
  26. Štacko P.; Šolomek T. Photoremovable Protecting Groups: Across the Light Spectrum to Near- Infrared Absorbing Photocages. CHIMIA 2021, 75, 873–881. 10.2533/chimia.2021.873. [DOI] [PubMed] [Google Scholar]
  27. Lin Q.; Yang L.; Wang Z.; Hua Y.; Zhang D.; Bao B.; Bao C.; Gong X.; Zhu L. Coumarin Photocaging Groups Modified with an Electron-Rich Styryl Moiety at the 3-Position: Long-Wavelength Excitation, Rapid Photolysis, and Photobleaching. Angew. Chem., Int. Ed. 2018, 57, 3722–3726. 10.1002/anie.201800713. [DOI] [PubMed] [Google Scholar]
  28. Chaud J.; Morville C.; Bolze F.; Garnier D.; Chassaing S.; Blond G.; Specht A. Two-Photon Sensitive Coumarinyl Photoremovable Protecting Groups with Rigid Electron-Rich Cycles Obtained by Domino Reactions Initiated by a 5- Exo-Dig Cyclocarbopalladation. Org. Lett. 2021, 23, 7580–7585. 10.1021/acs.orglett.1c02778. [DOI] [PubMed] [Google Scholar]
  29. Amatrudo J. M.; Olson J. P.; Agarwal H. K.; Ellis-Davies G. C. R. Caged Compounds for Multichromic Optical Interrogation of Neural Systems. Eur. J. Neurosci. 2015, 41, 5–16. 10.1111/ejn.12785. [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Schmidt R.; Geissler D.; Hagen V.; Bendig J. Mechanism of Photocleavage of (Coumarin-4-Yl)Methyl Esters. J. Phys. Chem. A 2007, 111, 5768–5774. 10.1021/JP071521C. [DOI] [PubMed] [Google Scholar]
  31. Schmidt R.; Geissler D.; Hagen V.; Bendig J. Kinetics Study of the Photocleavage of (Coumarin-4-Yl)Methyl Esters. J. Phys. Chem. A 2005, 109, 5000–5004. 10.1021/jp050581k. [DOI] [PubMed] [Google Scholar]
  32. Eckardt T.; Hagen V.; Schade B.; Schmidt R.; Schweitzer C.; Bendig J. Deactivation Behavior and Excited-State Properties of (Coumarin-4-Yl)Methyl Derivatives. 2. Photocleavage of Selected (Coumarin-4-Yl)Methyl-Caged Adenosine Cyclic 3′,5′-Monophosphates with Fluorescence Enhancement. J. Org. Chem. 2002, 67, 703–710. 10.1021/JO010692P. [DOI] [PubMed] [Google Scholar]
  33. Schade B.; Hagen V.; Schmidt R.; Herbrich R.; Krause E.; Eckardt T.; Bendig J. Deactivation Behavior and Excited-State Properties of (Coumarin-4-Yl)Methyl Derivatives. 1. Photocleavage of (7-Methoxycoumarin-4-Yl)Methyl-Caged Acids with Fluorescence Enhancement. J. Org. Chem. 1999, 64, 9109–9117. 10.1021/jo9910233. [DOI] [PubMed] [Google Scholar]
  34. Weis S.; Shafiq Z.; Gropeanu R. A.; Del Campo A. Ethyl Substituted Coumarin-4-Yl Derivatives as Photoremovable Protecting Groups for Amino Acids with Improved Stability for SPPS. J. Photochem. Photobiol., A 2012, 241, 52–57. 10.1016/j.jphotochem.2012.05.014. [DOI] [Google Scholar]
  35. Yu H. S.; He X.; Li S. L.; Truhlar D. G. MN15: A Kohn–Sham Global-Hybrid Exchange–Correlation Density Functional with Broad Accuracy for Multi-Reference and Single-Reference Systems and Noncovalent Interactions. Chem. Sci. 2016, 7, 5032–5051. 10.1039/C6SC00705H. [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Zheng J.; Xu X.; Truhlar D. G. Minimally Augmented Karlsruhe Basis Sets. Theor. Chem. Acc. 2011, 128, 295–305. 10.1007/s00214-010-0846-z. [DOI] [Google Scholar]
  37. Marenich A. V.; Cramer C. J.; Truhlar D. G. Universal Solvation Model Based on Solute Electron Density and on a Continuum Model of the Solvent Defined by the Bulk Dielectric Constant and Atomic Surface Tensions. J. Phys. Chem. B 2009, 113, 6378–6396. 10.1021/jp810292n. [DOI] [PubMed] [Google Scholar]
  38. Weinrich T.; Gränz M.; Grünewald C.; Prisner T. F.; Göbel M. W. Synthesis of a Cytidine Phosphoramidite with Protected Nitroxide Spin Label for EPR Experiments with RNA. Eur. J. Org. Chem. 2017, 2017, 491–496. 10.1002/ejoc.201601174. [DOI] [Google Scholar]
  39. Contreras-García E.; Lozano C.; García-Iriepa C.; Marazzi M.; Winter A. H.; Torres C.; Sampedro D. Controlling Antimicrobial Activity of Quinolones Using Visible/NIR Light-Activated BODIPY Photocages. Pharmaceutics 2022, 14, 1070 10.3390/pharmaceutics14051070. [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Montgomery H. Photo-Control of Nitric Oxide Synthase Activity Using a Caged Isoform Specific Inhibitor. Bioorg. Med. Chem. 2002, 10, 1919–1927. 10.1016/S0968-0896(02)00050-0. [DOI] [PubMed] [Google Scholar]
  41. Weinstain R.; Segal E.; Satchi-Fainaro R.; Shabat D. Real-Time Monitoring of Drug Release. Chem. Commun. 2010, 46, 553–555. 10.1039/B919329D. [DOI] [PubMed] [Google Scholar]
  42. Gagey N.; Neveu P.; Jullien L. Two-Photon Uncaging with the Efficient 3,5-Dibromo-2,4-Dihydroxycinnamic Caging Group. Angew. Chem., Int. Ed. 2007, 46, 2467–2469. 10.1002/ANIE.200604598. [DOI] [PubMed] [Google Scholar]
  43. Gorka A. P.; Nani R. R.; Zhu J.; Mackem S.; Schnermann M. J. A Near-IR Uncaging Strategy Based on Cyanine Photochemistry. J. Am. Chem. Soc. 2014, 136, 14153–14159. 10.1021/ja5065203. [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Wegener M.; Hansen M. J.; Driessen A. J. M.; Szymanski W.; Feringa B. L. Photocontrol of Antibacterial Activity: Shifting from UV to Red Light Activation. J. Am. Chem. Soc. 2017, 139, 17979–17986. 10.1021/jacs.7b09281. [DOI] [PMC free article] [PubMed] [Google Scholar]
  45. Velema W. A.; van der Berg J. P.; Hansen M. J.; Szymanski W.; Driessen A. J. M.; Feringa B. L. Optical Control of Antibacterial Activity. Nat. Chem. 2013, 5, 924–928. 10.1038/nchem.1750. [DOI] [PubMed] [Google Scholar]
  46. Velema W. A.; van der Berg J. P.; Szymanski W.; Driessen A. J. M.; Feringa B. L. Orthogonal Control of Antibacterial Activity with Light. ACS Chem. Biol. 2014, 9, 1969–1974. 10.1021/cb500313f. [DOI] [PubMed] [Google Scholar]
  47. Velema W. A.; Hansen M. J.; Lerch M. M.; Driessen A. J. M.; Szymanski W.; Feringa B. L. Ciprofloxacin-Photoswitch Conjugates: A Facile Strategy for Photopharmacology. Bioconjugate Chem. 2015, 26, 2592–2597. 10.1021/acs.bioconjchem.5b00591. [DOI] [PubMed] [Google Scholar]
  48. Monteiro D. C. F.; Amoah E.; Rogers C.; Pearson A. R. Using Photocaging for Fast Time-Resolved Structural Biology Studies. Acta Crystallogr., Sect. D: Struct. Biol. 2021, 77, 1218–1232. 10.1107/S2059798321008809. [DOI] [PMC free article] [PubMed] [Google Scholar]

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