Open Access Article
Ali Akbari
* and
Danial Zand Hoseinshahi
Department of Chemistry, Faculty of Science, University of Jiroft, Jiroft, Iran P. O. Box 8767161167. E-mail: a.akbari@ujiroft.ac.ir; Fax: +98-344-334-7065; Tel: +98-344-334-7061
First published on 24th April 2026
A copper-catalyzed multicomponent protocol is described for the synthesis of structurally diverse isoquinolines from readily available phenylacetaldehyde derivatives, benzaldehydes, and ammonia. A commercially available 4 M solution of ammonia in methanol serves as a practical and comparatively benign nitrogen source, avoiding the use of prefunctionalized amine substrates. The transformation proceeds at room temperature via a modified Pomeranz–Fritsch-type cyclization, enabling direct one-pot access to the target heterocycles in good to excellent yields under operationally simple conditions. The multicomponent design, combined with the avoidance of stoichiometric activating reagents and strongly acidic media, leads to improved atom economy and reduced waste generation relative to conventional isoquinoline syntheses. Mechanistic studies indicate a stepwise pathway involving the formation and isolation of a key 1,4-diphenyl-2-azabutadiene intermediate, while TEMPO trapping experiments support the involvement of radical species. Notably, a heterogeneous CuO/TiO2 catalyst can be readily recovered and reused with minimal loss of activity, further enhancing the sustainability profile of the methodology. Overall, this approach integrates earth-abundant copper catalysis, mild conditions, multicomponent efficiency, and mechanistic insight for the environmentally considerate construction of isoquinoline frameworks.
In recent years, a large number of structurally diverse isoquinoline compounds have been isolated from natural sources, particularly microorganisms and plants.11 Isoquinoline alkaloids exhibit a wide range of biological activities, including anticancer,12 antitumor,13 antifungal,14 antibacterial,15 antiviral,16,17 and broad-spectrum antimicrobial effects.18,19 Beyond their pharmaceutical relevance, isoquinoline derivatives—especially isoquinoline N-oxides—have attracted increasing attention as photoactive motifs and play important roles in photochemical transformations.20 Isoquinolines have also found extensive application as ligands in transition-metal-catalyzed reactions, notably those involving cobalt,21 ruthenium,22,23 and nickel24 complexes, further underscoring the versatility of this heterocyclic scaffold. Owing to these important attributes, considerable efforts have been devoted to the development of efficient synthetic methodologies for isoquinoline derivatives. Classical approaches include the Pomeranz–Fritsch reaction between benzaldehydes and 2,2-dialkoxyethylamines under acidic conditions,25 the Bischler–Napieralski cyclization of β-arylethylamides or carbamates,26 the Pictet–Spengler condensation of β-arylethylamines with aldehydes or ketones,27 and the Pictet–Gams cyclization of β-hydroxy-β-phenethylamides.28 Despite their historical significance, many of these traditional methods suffer from inherent drawbacks that contradict modern sustainability metrics. For example, the Pomeranz–Fritsch reaction typically requires strong aqueous acids (≈6 M) and elevated temperatures (>100 °C), which severely restrict substrate scope and result in high E-factors due to extensive neutralization and aqueous waste.29 Subsequent modifications employing excess Lewis's acids, such as aluminum trichloride,30 strong Brønsted acids such as trifluoroacetic acid, or transition-metal catalysis have been reported.31,32 Nevertheless, many existing approaches to isoquinoline synthesis continue to suffer from drawbacks such as harsh reaction conditions, the use of stoichiometric hazardous reagents, multiple isolation steps, and poor atom economy. Despite extensive efforts devoted to the construction of isoquinoline frameworks, a general, mild, and highly efficient method that minimizes environmental impact remains critically needed. This gap in current methodology prompted us to explore an alternative, milder approach to isoquinolines based on the α-amination of phenylacetaldehyde derivatives. Radical-mediated transformations have recently emerged as powerful tools for C–N bond formation, benefiting from mild reaction conditions, broad functional-group tolerance, and unique reactivity patterns, aligning closely with the principles of Green Chemistry.33–36 Although α-aminocarbonyl compounds are well established as versatile intermediates in radical chemistry, their application in the assembly of isoquinoline frameworks has remained largely unexplored.37–40 We propose that a copper-catalyzed, radical-driven α-amination strategy, utilizing an earth-abundant catalyst and aqueous ammonia, could provide an exceptionally efficient and environmentally benign access to isoquinoline derivatives from readily available phenylacetaldehyde precursors, while entirely circumventing the harsh conditions and multistep protocols associated with classical methods.
Compared with classical isoquinoline syntheses such as the Pomeranz–Fritsch, Bischler–Napieralski, and Pictet–Spengler reactions, the present methodology operates under markedly milder and more sustainable conditions (Table 1). The avoidance of strong mineral acids, stoichiometric dehydrating agents, and elevated temperatures, combined with a one pot multicomponent design and visible light activation, results in significantly reduced waste generation and improved atom efficiency.
| 1a–3a | ||||||||
|---|---|---|---|---|---|---|---|---|
| a Reaction conditions: phenylacetaldehyde (1.0 mmol), benzaldehyde (1.02 mL, 10 mmol), NH3·MeOH (4 M, 0.25 mL), CuO/TiO2, CuCl, ascorbic acid, solvent (10 mL), visible-light irradiation using a 23 W household fluorescent lamp.b The product was monitored with TLC.c 10 W, 450 nm. | ||||||||
| Entry | CuO/TiO2 (mg) | CuCl (mol%) | Ascorbic acid (mol%) | Solvent (10 mL) | Time (h) | Temp (°C) | Light | Yield (%) |
| 1 | — | — | — | H2O | 24 | r.t | Visible | 0 |
| 2 | — | — | 35 | H2O | 24 | r.t | Visible | 0 |
| 3 | — | 8 | — | H2O | 24 | r.t | Visible | Traceb |
| 4 | — | 8 | 35 | H2O | 24 | r.t | Visible | 23 |
| 5 | 30 | — | 35 | H2O | 24 | r.t | Visible | Trace |
| 6 | 30 | 8 | — | H2O | 24 | r.t | Visible | 41 |
| 7 | 30 | 8 | 35 | H2O | 24 | r.t | Dark | 0 |
| 8 | 30 | 8 | 35 | H2O | 24 | r.t | Visible | 90 |
| 9 | 30 | 8 | 35 | EtOH | 24 | r.t | Visible | 92 |
| 10 | 30 | 8 | 35 | bEtOH 95% | 24 | r.t | Visible | 93 |
| 11 | 30 | 8 | 35 | CH2Cl2 | 24 | r.t | Visible | 35 |
| 12 | 30 | 8 | 35 | Toluene | 24 | r.t | Visible | 42 |
| 13 | 30 | 8 | 35 | DMF | 24 | r.t | Visible | 75 |
| 14 | TiO2 (30) | 8 | 35 | EtOH 95% | 24 | r.t | Visible | Trace |
| 15 | CuO (30) | 8 | 35 | EtOH 95% | 24 | r.t | Visible | 37 |
| 16 | 20 | 8 | 35 | EtOH 95% | 24 | r.t | Visible | 93 |
| 17 | 20 | 8 | 45 | EtOH 95% | 24 | r.t | Visible | 93 |
| 18 | 20 | 8 | 25 | EtOH 95% | 24 | r.t | Visible | 93 |
| 19 | 20 | 8 | 20 | EtOH 95% | 24 | r.t | Visible | 83 |
| 20 | 20 | 8 | 15 | EtOH 95% | 24 | r.t | Visible | 72 |
| 21 | 20 | 8 | 20 | EtOH 95% | 14 | 35 | Visible | 90 |
| 22 | 20 | 8 | 20 | EtOH 95% | 14 | 35 | Visible | 90 |
| 23 | 20 | 8 | 25 | EtOH 95% | 14 | 50 | Visible | 82 |
| 24 | 20 | 8 | 25 | EtOH 95% | 14 | 70 | Visible | 75 |
| 25 | 20 | 8 | 25 | EtOH 95% | 14 | r.t | Visible | 93 |
| 26 | 20 | 8 | 25 | EtOH 95% | 14 | r.t | LED c | 86 |
Furthermore, the sharpness and well-defined nature of the diffraction peaks imply a high level of crystallinity and a homogeneous distribution of CuO nanoparticles on the TiO2 support. These characteristics are crucial for maximizing the surface area accessible for catalytic activity, reinforcing the potential of this composite material for sustainable chemical transformations. The absence of secondary phases further validates the controlled synthesis of the CuO/TiO2 composite. These findings strongly support the application of this material within Green Chemistry frameworks by providing a stable, highly crystalline, and catalytically active heterogeneous catalyst.
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| Fig. 3 FTIR spectra of TiO2/CuO composite, CuO, and TiO2, confirming successful synthesis and revealing characteristic peaks indicative of each component and interfacial interactions. | ||
The nitrogen adsorption–desorption isotherm (Fig. 4) confirms the mesoporous nature of the material, displaying a type IV isotherm with a characteristic hysteresis loop indicative of pores between 2–50 nm, beneficial for enhanced mass transport and surface interactions. The specific surface area is approximately 25 m2 g−1, representing moderate porosity. The observed hysteresis loop suggests the presence of capillary-like pores, potentially arising from particle aggregation and aligning with expected SEM observations. Initial low adsorption at lower pressures indicates limited initial accessibility, with significant adsorption enhancement at higher pressures, signifying increased pore accessibility. Notably, the composite material (blue curve) exhibits a significantly larger surface area compared to the individual components (green curve), highlighting a synergistic effect that enhances surface reactivity. Overall, these data demonstrate a material with a favorable pore structure suitable for catalytic or adsorptive applications, with the composite demonstrating improved performance relative to its constituent parts.
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| Fig. 4 N2 adsorption–desorption isotherms of the synthesized material measured at 77 K, displaying a type IV isotherm with a hysteresis loop characteristic of mesoporous structures. | ||
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| Fig. 5 Scanning electron microscopy (SEM) image of the synthesized material showing a densely packed nanogranular morphology with interconnected nanoparticles. Scale bar: 100 nm. | ||
This nanostructured architecture provides a high surface area to volume ratio, which is highly advantageous for catalytic and adsorption applications by enhancing surface reactivity and the accessibility of active sites. The morphology observed thus supports the material's potential for improved performance in catalytic processes due to the synergistic effects of nanoparticle aggregation and porosity.
The EDS spectrum reveals the presence of titanium (Ti), oxygen (O), and copper (Cu) within the analyzed sample. The prominent peaks at approximately 3.2 keV (Ti), 5.1 keV (O), and 7.9 keV (Cu) indicate the successful incorporation of these elements into the material (Fig. 7). The relative intensities of the peaks can be used to determine the elemental composition and stoichiometry of the sample. For example, the peak height for Ti is significantly higher than that of Cu, suggesting a higher concentration of titanium in the material. The presence of oxygen is expected due to the material's composition and potential oxidation states. This confirms the successful synthesis of Cu-decorated TiO2 with a well-defined composition, essential for consistent performance in catalytic and adsorptive processes. It should be noted that the EDS analysis was performed using a copper TEM grid; therefore, the observed Cu signal in the EDS mapping may partially originate from the grid and overlap with the signal from the catalyst. Consequently, the copper content of the catalyst was more accurately determined by ICP analysis, which confirmed a copper loading of approximately 5 wt%.
Notably, the key 1,4-diphenyl-2-azabutadiene intermediate could be readily isolated and fully characterized (see SI). Under the standard reaction conditions, this intermediate was smoothly converted into the corresponding isoquinoline through an oxidative rearrangement process, confirming its competence as a key precursor.
1H NMR (500 MHz, CDCl3) δ 8.40 (s, 1H), 7.85 (m, 2H), 7.25–7.65 (m, 9H), 7.05 (d, J = 13.0 Hz, 1H).
13C NMR (125 MHz, CDCl3) δ 161.3, 141.8, 136.2, 136.1, 131.1, 128.7, 128.6, 127.9, 126.8.
Fig. 8 demonstrates the influence of catalyst loading on product yield, revealing a marked increase in yield with increasing catalyst concentration up to 20 wt%. The highest yield of 93.45% is achieved at a catalyst loading of 28 wt%, suggesting an optimal loading range around 20–28 wt%. Beyond this range, the yield plateaus, indicating that further increases in catalyst concentration do not significantly enhance product formation and may introduce unnecessary costs and waste. This optimization of catalyst loading is a key principle in Green Chemistry, aiming to maximize efficiency and minimize environmental impact through responsible resource utilization. Further investigation into the catalyst's performance at various loadings would aid in refining the process for sustainable chemical synthesis.
Fig. 9 illustrates the impact of co-catalyst loading on product yield, revealing a significant increase in efficiency as the co-catalyst concentration increases from 0 to 8 wt%.
The highest yield of 93 wt% is observed at co-catalyst loadings of 8 and 9 wt%, indicating an optimal range for enhanced catalytic activity. Beyond this point, the yield plateaus, suggesting that further increases in co-catalyst concentration do not lead to substantial improvements in product formation and may increase material costs. This optimization of co-catalyst loading is a crucial aspect of Green Chemistry, aiming to maximize process efficiency while minimizing the use of resources and potential waste generation. Further investigation into the synergistic effects of different co-catalysts at optimized loadings could lead to more sustainable and cost-effective chemical processes.
Fig. 10 illustrates the effect of reaction time on the yield of 3-phenylisoquinoline (3a). The yield exhibits a gradual increase initially, reaching 52.4% after 5 hours. A significant increase occurs between 5 and 10 hours, with the yield rising to 88.13%. The highest yield, approximately 93.08%, is achieved after 22 hours, suggesting a prolonged reaction period can further enhance product formation. However, the rate of yield increase appears to slow considerably after 14 hours, suggesting that 14 hours may represent a near-optimal reaction time, balancing product yield with reaction efficiency. This data indicates that optimizing reaction parameters to achieve efficient product synthesis is crucial. The observed plateau in yield after 14 hours indicates the approach of a kinetic limit or saturation of active sites, highlighting the importance of carefully balancing reaction time for maximized output and resource utilization.
Fig. 11 demonstrates the stability of the catalyst through seven reaction cycles, showing a consistent conversion yield of approximately 92–93%. While a slight decrease in conversion is observed across cycles, the overall performance remains robust, indicating the catalyst's resilience to repeated use.
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| Fig. 11 Catalyst stability and consistent conversion (92–93%) across seven reaction cycles for sustainable chemistry. | ||
This stability is crucial for industrial applications, minimizing waste generation associated with catalyst replacement and contributing to sustainable chemical processes. The minor yield variation observed may be attributed to subtle changes in reaction conditions or catalyst surface properties over time, highlighting the importance of careful process control to maintain catalytic efficiency and minimize environmental impact. Further investigation into the catalyst's long-term stability under varying reaction conditions would be beneficial for optimizing its application in Green Chemistry protocols.
This morphological stability is in line with the experimental observation that the catalyst can be readily recovered and reused for at least seven consecutive cycles with minimal loss of activity.
Under LED irradiation, the reaction proceeds with a slightly lower isolated yield (86%) compared to CFL (93%), but with significantly reduced energy consumption (10 W vs. 23 W), resulting in an approximately two-fold improvement in photonic efficiency (Table 2). Although the emission maximum of blue LEDs (450 nm) lies slightly above the intrinsic band-gap absorption of TiO2 (≈3.2 eV, ca. 390–400 nm), visible-light activation is enabled through CuO sensitization and defect states, which facilitate efficient charge separation while minimizing non-productive heating. Under these conditions, TiO2 may primarily function as a support that stabilizes and disperses the copper species, while the copper centers likely play a more dominant role in the catalytic process. In contrast, CFL sources emit a broader spectrum extending into the near-UV and infrared regions, leading to partial energy loss as heat. Consequently, the LED setup reduces the specific energy input from approximately 1.5 kWh mol−1 (CFL) to 0.7 kWh mol−1 (LED), indicating an overall improvement in the energy profile of the photochemical step. From a green chemistry perspective, the LED-based system aligns with several sustainability criteria—primarily reduced electricity usage, lower heat generation, and milder operating conditions—although it does not fully satisfy all green chemistry principles. Overall, replacing CFL lamps with narrow-band LEDs enhances the energy efficiency of the visible-light-induced isoquinoline synthesis, while further improvements may be achievable through continuous-flow photoreactors employing low-power LEDs to maximize photon utilization and further reduce environmental impact.
| Light source | Power consumption (W) | Wavelength range (nm) | Emission maximum (nm) | Irradiance (mW cm−2) | Yield of 3a (%) | Photonic efficiencya | Sustainability remarks |
|---|---|---|---|---|---|---|---|
| a Photonic efficiency calculated as yield (%)/irradiance (mW cm−2 × power (W)) for comparative purposes, normalized to 1 h illumination. | |||||||
| CFL, household (23 W) | 23 | 400–700 | 6500 K (white) | ≈1.8 | 93 | 0.043 | Readily available; moderate efficiency; minor UV component generates waste heat |
| LED panel (10 W, blue 450 nm) | 10 | 430–470 | 450 nm | ≈2.3 | 86 | 0.095 | Higher photonic efficiency, lower power demand, negligible IR/UV; reduced energy consumption |
| Dark control | — | — | — | — | 0 | — | No reaction |
With the optimized conditions established, the generality of the protocol was explored using a range of substituted phenylacetaldehydes and benzaldehydes (Table 3). Isoquinoline derivatives 3a–p were obtained in good to excellent yields, demonstrating the broad applicability of the method. The reaction outcome was found to be sensitive to electronic effects. Phenylacetaldehydes bearing electron-donating substituents (e.g., methoxy) afforded higher yields than those containing electron-withdrawing groups such as fluoro substituents. Similarly, benzaldehydes with electron-donating substituents generally resulted in higher yields compared to their electron-deficient counterparts. These trends are consistent with the involvement of electron-rich intermediates in the oxidative coupling and cyclization steps.
| a All products (3a–p) were purified by column chromatography. |
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The possible participation of radical intermediates was investigated through radical trapping experiments. When 2 equivalents of TEMPO were introduced under the standard reaction conditions, the formation of the isoquinoline product was almost completely suppressed, and only trace amounts of product were detected by TLC after 18 h. This pronounced inhibition suggests the involvement of radical species in the reaction pathway.
Based on these observations, a plausible reaction pathway is proposed (Scheme 1). It should be noted that the TEMPO inhibition experiment alone does not provide conclusive mechanistic evidence; therefore, the proposed mechanism should be regarded as tentative and is suggested based on the experimental observations together with relevant precedents reported in the literature.43 Initially, Cu(I) species react with TBHP to generate tert-butoxy radicals along with higher-valent copper species. Subsequent hydrogen atom abstraction from phenylacetaldehyde affords an α-carbonyl radical intermediate. This intermediate undergoes condensation with ammonia and benzaldehyde to form the corresponding 1,4-diphenyl-2-azabutadiene intermediate.
Further single-electron transfer processes may generate cationic radical species, which subsequently undergo nucleophilic addition of methanol followed by oxidative rearrangement. The resulting intermediate then undergoes intramolecular cyclization and aromatization to furnish the isoquinoline framework.
In the catalytic system, CuO/TiO2 is assumed to function as a heterogeneous catalytic platform that provides active surface sites for the transformation. CuCl may participate in the Cu(I)/Cu(II) redox cycle and facilitate the oxidative α-amination process through the formation of reactive copper species. Ascorbic acid likely acts as a reducing agent that promotes the in situ regeneration of catalytically active Cu(I) species, thereby sustaining the copper redox cycle under the reaction conditions. In addition, visible light may facilitate the formation of reactive radical intermediates and assist in the activation of the catalytic system. However, further mechanistic investigations would be required to fully elucidate the exact roles of these components.
Overall, the successful isolation of the azabutadiene intermediate together with the strong inhibitory effect observed in the presence of TEMPO collectively support a stepwise radical-mediated oxidative rearrangement and cyclization pathway leading to the formation of isoquinoline derivatives under the present catalytic conditions.
To quantitatively substantiate the sustainability claims of the present methodology, key green chemistry metrics were evaluated for the optimized copper-catalyzed one-pot synthesis of 3-phenylisoquinoline (3a). As summarized in Table S1 (SI), the multicomponent, single-step protocol exhibits a high theoretical atom economy (≈78%) and a favorable reaction mass efficiency (≈72%), reflecting efficient incorporation of starting materials into the target heterocycle. The avoidance of stoichiometric activating reagents, protecting groups, and strongly acidic media, together with the use of ethanol as a recommended green solvent, results in a qualitatively low E-factor. Energy consumption analysis further reveals a specific energy input of approximately 1.5 kWh mol−1 under CFL irradiation, which can be reduced to ca. 0.7 kWh mol−1 by employing low-power visible-light LEDs, corresponding to an energy reduction of about 50%. In addition, the heterogeneous CuO/TiO2 catalyst can be readily recovered and reused for at least seven consecutive cycles with minimal loss of activity, further enhancing the overall sustainability profile of the protocol.
Compared with classical isoquinoline syntheses such as the Pomeranz–Fritsch, Bischler–Napieralski, and Pictet–Spengler reactions, the present methodology operates under markedly milder and more sustainable conditions (Table 4). The avoidance of strong mineral acids, stoichiometric dehydrating agents, and elevated temperatures, combined with a one pot multicomponent design and visible light activation, results in significantly reduced waste generation and improved atom efficiency.
| Method | Key starting materials | Reaction conditions | Hazardous reagents/media | Steps | Energy input | Waste generation | Green chemistry assessment |
|---|---|---|---|---|---|---|---|
| Pomeranz–Fritsch | Benzaldehyde + aminoacetal | Strong aqueous acid (≈6 M), >100 °C | Concentrated mineral acids | ≥2 | High (heating) | High (acid neutralization, aqueous waste) | Poor: harsh conditions, high E-factor |
| Bischler–Napieralski | β-Arylethylamides | POCl3/P2O5, reflux | Stoichiometric toxic dehydrating agents | ≥2 | High | High (stoichiometric waste) | Poor: hazardous reagents, low atom economy |
| Pictet–Spengler | β-Arylethylamines + aldehydes | Strong Brønsted or Lewis acids | TFA, AlCl3, HCl | ≥2 | Moderate–high | Moderate–high | Moderate: acidic media, limited sustainability |
| This work | Phenylacetaldehydes + benzaldehydes + NH3 | r.t., visible light, EtOH (95%) | None (earth-abundant Cu catalyst) | 1 (one-pot) | Low | Low | Excellent: mild, catalytic, high efficiency |
:
1, v/v) to afford product (3a) as a solid (1.90 g, 93% yield).
1H NMR (500 MHz, CDCl3): δ 9.35 (s, 1H), 8.18–8.12 (m, 2H), 8.06 (s, 1H), 7.97 (d, J = 8.5 Hz, 1H), 7.85 (d, J = 8.0 Hz, 1H), 7.70–7.65 (m, 1H), 7.60–7.55 (m, 1H), 7.55–7.50 (m, 2H) 7.45–7.40 (m, 1H) ppm.
13C NMR (125 MHz, CDCl3): δ 152.5, 151.3, 139.7, 136.7, 130.6, 128.9, 128.6, 127.8, 127.7, 127.2, 127.1, 127.0, 116.6 ppm.
HRMS (ESI) m/z: calcd for C15H12N [M + H]+: 206.0964. Found: 206.0966.
1H NMR (500 MHz, CDCl3): δ 9.26 (s, 1H), 8.12 (d, J = 7.5 Hz, 2H), 8.02 (s, 1H), 7.80–7.70 (m, 2H), 7.55–7.45 (m, 3H), 7.41 (t, J = 7.5 Hz, 1H), 2.55 (s, 3H) ppm.
13C NMR (125 MHz, CDCl3); δ 151.8, 150.5, 139.7, 137.3, 135.1, 133.1, 128.9, 128.5, 128.1, 127.0, 126.9, 126.5, 116.6, 22.0 ppm.
HRMS (ESI) m/z: calcd for C16H14N [M + H]+: 220.1121. Found: 220.1127.
1H NMR (500 MHz, CDCl3): δ 9.19 (s, 1H), 8.11 (dd, J = 8.0,1.5 Hz, 2H), 7.97 (s, 1H), 7.87 (d, J = 9.0 Hz, 1H), 7.50 (tt, J = 7.5,1.5 Hz 2H), 7.42 (tt, J = 7.0,1.5 Hz 1H), 7.20 (dd, J = 8.5,2.0 Hz 1H), 7.11 (sd, J = 2.0 Hz, 1H), 3.96 (s, 3H) ppm.
13C NMR (125 MHz, CDCl3): δ 161.3, 151.8, 151.6, 139.8, 138.8, 129.4, 128.9, 128.6, 127.1, 123.7, 120.4, 116.1, 104.5, 55.6 ppm.
HRMS (ESI) m/z: calcd for C16H14NO [M + H]+: 236.1070. Found: 236.1065.
1H NMR (500 MHz, CDCl3): δ 9.29 (s, 1H), 8.11 (d, J = 8.5 Hz, 2H), 8.50–7.93 (m, 2H), 7.52 (t, J = 8.5 Hz 2H), 7.48–7.40 (m, 2H), 7.33 (td, J = 8.5,2.0 Hz, 1H) ppm.
13C NMR (125 MHz, CDCl3): δ 163.5 (d, J = 252.5 Hz), 152.10 152.06, 139.2, 138.2 (d, J = 10.6 Hz), 130.6 (d, J = 9.9 Hz), 128.9, 127.1, 125.0, 117.7 (d, J = 25.9 Hz), 116.1 (d, J = 5.5 Hz), 110.30 (d, J = 21.1 Hz) ppm.
HRMS (ESI) m/z: Calcd for C15H11FN [M + H]+: 224.0870. Found: 224.0875.
1H NMR (500 MHz, CDCl3): δ 9.36 (s, 1H), 8.05–8.00 (m, 2H), 8.87 (d, J = 8.0 Hz, 1H), 7.76–7.68 (m, 2H), 7.66 (m, 1H), 7.52 (dd, J = 8.0,1.5 Hz, 1H), 7.39 (td, J = 7.5,1.5 Hz 1H), 7.34 (td, J = 7.5,2.0 Hz 1H) ppm.
13C NMR (125 MHz, CDCl3): δ 152.2, 150.3, 139.3, 136.0, 132.6, 132.0, 130.8, 130.3, 129.4, 127.71, 127.67, 127.66, 127.11, 127.07, 121.4 ppm.
HRMS (ESI) m/z: Calcd for C15H11ClN [M + H]+: 240.0574. Found: 240.0575.
1H NMR (500 MHz, CDCl3): δ 9.32 (s, 1H), 8.07 (d, J = 8.5 Hz 2H), 8.03 (s, 1H), 7.98 (d, J = 8.0 Hz 1H), 7.86 (d, J = 8.0 Hz 1H), 7.67–7.73 (m, 1H), 7.62–7.56 (m, 1H), 7.47 (d, J = 8.5 Hz 2H)ppm.
13C NMR (125 MHz, CDCl3): δ 152.5, 150.0, 137.9, 136.7, 134.8, 131.0, 129.1, 128.4, 127.9, 127.8, 127.5, 127.1, 116.7 ppm.
HRMS (ESI) m/z: calcd for C15H11ClN [M + H]+: 240.0574. Found: 240.0573.
13C NMR (101 MHz, CDCl3): δ 163.4 (d, J = 222.3 Hz), 152.5, 150.3, 136.8, 135.7 (d, J = 3.0 Hz), 130.9, 128.9 (d, J = 8.2 Hz), 127.7, 127.3, 127.0, 116.4, 115.8 (d, J = 21.8 Hz) ppm.
HRMS (ESI) m/z: calcd for C15H11FN [M + H]+: 224.0870. Found: 224.0874.
1H NMR (500 MHz, CDCl3): δ 9.34 (s, 1H), 8.23 (d, J = 8.0 Hz, 2H), 8.08 (s, 1H), 7.99 (d, J = 8.0 Hz, 1H), 7.87 (d, J = 8.5 Hz, 1H), 7.76–7.70 (m, 3H), 7.64–7.58 (m, 1H) ppm.
13C NMR (125 MHz, CDCl3): δ 152.8, 149.6, 143.0, 136.6, 131.0, 130.4 (d, J = 45.4 Hz), 129.1(d, J = 146.8 Hz), 128.2, 127.8, 127.7, 127.3, 127.2, 125.8 (q, J = 3.9 Hz), 117.4 ppm.
HRMS (ESI) m/z: calcd for C16H11F3N [M + H]+: 274.0838. Found: 274.0831.
1H NMR (500 MHz, CDCl3): δ 9.32 (s, 1H), 8.74–8.69 (m, 2H), 8.12 (s, 1H), 8.02–7.95 (m, 3H), 7.87 (d, J = 8.0 Hz 1H), 7.74–7.68 (m, 1H), 7.65–7.60 (m, 1H) ppm.
13C NMR (125 MHz, CDCl3): δ 152.9, 150.4, 148.3, 146.8, 136.3, 131.0, 128.6, 128.2, 127.7, 127.3, 121.2, 117.8 ppm.
HRMS (ESI) m/z: Calcd for C14H11N2 [M + H]+: 207.0917. Found: 207.0915.
1H NMR (500 MHz, CDCl3): δ 9.36 (s, 1H), 8.22 (s, 1H), 8.00–7.92 (m, 2H), 7.84 (d, J = 8.5 Hz, 1H), 7.70–7.63 (m, 1H), 7.60–7.52 (m, 1H), 7.43–7.36 (m, 1H), 7.18–7.12 (m, 1H), 7.04 (d, J = 8.5 Hz 1H), 3.89 (s, 3H) ppm.
13C NMR (125 MHz, CDCl3): δ 157.1, 151.9, 149.2, 136.2, 131.5, 130.3, 129.6, 129.1, 127.43, 127.36, 127.03, 127.01, 121.2, 121.1, 111.4, 55.7 ppm.
HRMS (ESI) m/z: calcd for C16H14NO [M + H]+: 236.1070. Found: 236.1061.
1H NMR (500 MHz, CDCl3): δ 9.31 (s, 1H), 8.08 (d, J = 9.0 Hz 2H), 7.98 (s, 1H), 7.96 (d, J = 8.5, 1H), 7.83 (d, J = 8.5, 1H), 7.69–7.64 (m, 1H), 7.57–7.52 (m, 1H), 7.04 (d, J = 8.5 2H), 3.88 (s, 3H) ppm.
13C NMR (125 MHz, CDCl3): δ 160.3, 152.3, 151.0, 137.0, 132.1, 130.7, 128.4, 127.8, 127.5, 126.9, 115.6, 114.3, 55.5 ppm.
HRMS (ESI) m/z: Calcd for C16H14NO [M + H]+: 236.1070. Found: 236.1066.
1H NMR (500 MHz, CDCl3): δ 9.35 (s, 1H), 8.10 (d, J = 8.5, 2H), 8.05 (s, 1H), 7.97 (d, J = 8.0 Hz, 1H), 7.85 (d, J = 8.0 Hz, 1H), 7.69–7.64 (m, 1H), 7.59–7.52 (m, 3H), 1.42 (s, 9H) ppm.
13CNMR (125 MHz, CDCl3): δ 152.4, 151.7, 151.3, 136.82, 136.77, 130.5, 127.72, 127.66, 127.0, 126.8, 125.9, 116.2, 34.8, 31.4 ppm.
HRMS (ESI) m/z: calcd for C19H20N [M + H]+: 262.1590. Found: 262.1596.
1H NMR (500 MHz, CDCl3): δ 9.16 (s, 1H), 8.08 (d, J = 9.0 Hz, 2H), 7.89 (s, 1H), 7.83 (d, J = 8.5 Hz, 1H), 7.21 (d, J = 8.0 Hz, 1H), 7.08 (d, J = 8.5 Hz, 1H), 7.04 (d, J = 8.5 Hz, 2H), 3.95 (s, 3H), 3.88 (s, 3H) ppm.
13C NMR (125 MHz, CDCl3): δ 161.3, 160.3, 151.0, 139.1, 132.1, 130.7, 128.5, 128.3, 123.3, 120.4, 115.6, 114.3, 104.3, 55.5, 55.0 ppm.
HRMS (ESI) m/z: calcd for C17H16NO2 [M + H]+: 266.1176. Found, 266.1168.
1H NMR (500 MHz, CDCl3): δ 9.33 (s, 1H), 8.12 (d, J = 9.0 Hz 2H), 8.02 (s, 1H), 7.97 (dd, J = 8.0,1.0 Hz, 1H), 7.85 (dd, J = 8.0,1.0 Hz, 1H), 7.70–7.66 (m, 1H), 7.60–7.55 (m, 1H), 7.41–7.35 (m, 2H), 7.18–7.12 (m, 3H), 7.12–7.08 (m, 2H) ppm.
13C NMR (125 MHz, CDCl3): δ 157.9, 157.1, 152.5, 150.8, 136.8, 134.8, 130.7, 129.9, 128.6, 127.69, 127.66, 127.1, 126.9, 123.6, 119.2, 119.1, 116.0 ppm.
HRMS (ESI) m/z: calcd for C21H16NO [M + H]+: 298.1226. Found: 298.1221.
1H NMR (500 MHz, CDCl3): δ 9.37 (s, 1H), 8.24 (d, J = 8.0,1.0 Hz, 2H), 8.11 (s, 1H), 7.99 (d, J = 8.5 Hz, 1H), 7.86 (d, J = 8.5 Hz, 1H), 7.77 (d, J = 8.0, 2H), 7.73–7.65 (m, 3H), 7.58 (t, J = 8.0 1H), 7.49 (t, J = 7.5 Hz, 2H), 7.39 (t, J = 7.5 Hz, 1H) ppm.
13C NMR (125 MHz, CDCl3): δ 152.5, 150.8, 141.4, 140.8, 138.5, 136.8, 130.7, 128.9, 127.9, 127.7, 127.62, 127.58, 127.5, 127.24, 127.20, 127.0, 116.6 ppm.
HRMS (ESI) m/z: calcd for C21H16N [M + H]+: 282.1277. Found: 282.1272.
1H NMR (500 MHz, CDCl3): δ 9.29 (s, 1H), 8.06 (d, J = 9.0 Hz, 2H), 7.97–7.92 (m, 2H), 7.81 (dd, J = 8.5, 1.0 Hz, 1H), 7.66–7.62 (m, 1H), 7.52–7.48 (m, 1H), 6.85 (d, J = 9.0 Hz 2H), 3.04 (s, 6H) ppm.
13C NMR (125 MHz, CDCl3); δ 152.1, 151.5, 150.9, 137.1, 130.6, 127.9, 127.7, 127.3, 127.2, 126.8, 126.4, 114.5, 112.6, 40.6 ppm.
HRMS (ESI) m/z: calcd for C17H17N2 [M + H]+: 249.1386. Found: 249.1382.
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