Abstract
Theoretical calculations are proving as an essential tool to understand luminescence processes even for systems including lanthanide (Ln3+) ions. As such, the aim of this study is that of presenting a general and comprehensive theoretical protocol based on DFT calculations to rationalize and possibly drive the design of new luminescent Ln3+ complexes through the ab initio determination of the electronic properties of a ligand and two Eu3+ complexes. Different theoretical methodologies have been combined to look into the excited state energies, the luminescence quantum yield, and the energy transfer processes. The protocol has been validated for a β-diketone ligand and two Eu3+ complexes, which contain, in addition to the main ligand, ethanol or triphenylphosphine oxide. Moreover, by starting from the geometry optimization up to the estimation of the ligands’ singlet and triplet lowest energy states, theoretical results quantitatively agree with luminescence experimental parameters, providing at the same time insights into the different energy transfer processes. The different quantum yields of the two complexes have been correctly reproduced.
1 Introduction
In the last decades, technological development contributed to a huge of lanthanide (Ln) chemistry [1], [2], [3], [4]. Indeed, they find applications in several fields ranging from organic light-emitting devices [5], [6], [7], magnetic devices [8], chemosensors [9], luminescent thermometers [10], to tumour target bioimaging [11], [12], [13] or in general to the drug delivery monitoring [14], [15], [16] to name just a few but very relevant functionalities. More specifically, ternary β-diketonate europium complexes have large relevance [17] as red emitters in electroluminescence devices [18], as temperature sensors [19], as laser devices [20] or as luminescence probes in biological systems [21].
Now, despite the gigantic amount of papers devoted every year to lanthanide complexes, only a small fraction of them involves computational tools and computer-driven protocols [22], which might support experimental studies focused on the design of more efficient luminescence systems [23], [24], [25] or more sensitive thermometers devices [19, 26], [27], [28]. Among the electronic properties theoretically achievable, the ligands’ excited triplet state plays a pivotal role in several photophysical and reactive phenomena due to the so-called “antenna effect” for the sensitization of lanthanide emission [3]. Indeed, the energy gap between the ligand excited triplet state (T1) and the Ln3+ emitter level (5D0), ΔE(T1 − 5D0), is one of the key factors to evaluate the luminescence properties. In particular, an efficient ligand → metal energy transfer (ET) implies 2500 cm−1 < ΔE(T1 − 5D0) < 4000 cm−1 [29], while a higher sensitivity in luminescence thermometers [19, 26], [27], [28, 30], [31], [32] needs ca. 20 cm−1 < ΔE(T1 − 5D0) < 1500 cm−1 [33, 34]. Theoretical ligand energy levels and transition moments may be then combined to estimate the ET and back-ET rates between the ligands and the Ln3+ ion, allowing the evaluation of both the quantum yield (PLQY) and the weight between the radiative and non-radiative paths for the luminescence processes [17].
In this study, a general and comprehensive DFT-based protocol is proposed to rationalize, and possibly to drive, the design of luminescent Ln3+ complexes through an ab initio determination of the electronic properties of a ligand and two selected Eu3+ complexes’. The protocol will be herein validated for two Eu3+ tris(β-diketonate) complexes, whose coordination chemistry and photo-physics properties have been recently published [19]. The β-diketone ligand (L) we considered features two thienyl groups, while the two Eu3+ complexes, in addition to L, have two auxiliary ligands: ethanol in EuL3(EtOH)2 (hereafter, EuL 3 E 2 ) or triphenylphosphine oxide (TPPO) in EuL3(TPPO)2 (hereafter, EuL 3 T 2 ) (see Fig. 1).

L, EuL 3 E 2 and EuL 3 T 2 complexes obtained from the optimized structures (PBE level). Yellow, white, grey, red, green and orange sticks are S, H, C, O, Eu and P atoms, respectively. In the complexes, H atoms are omitted for clarity.
The final goal is beyond that of finding the origin of the different EuL 3 E 2 /EuL 3 T 2 behaviour and instead to propose a computational protocol able to quantitatively reproduce the observed trend by calculating luminescence quantum yields, radiative (Arad) and non-radiative (Anrad) decay rates, ET and back-ET contributions starting from the L lowest singlet (S1) and triplet (T1) excited states to Eu3+ selected excited states (5D4, 5D1 and 5D0). Different methodologies and software packages have been combined to get the best agreement with experimental evidence at every single step of the protocol, from geometry optimization to the T1 energy up to the luminescence quantum yield. The forthcoming discussion is organized into three sections: (i) the first one is devoted to the modelling of the structural properties of L and of the Eu3+ complexes and then compared with single crystal X-ray diffraction (SCXRD) data; (ii) the second is focused on the rationalization of the absorption spectra of L, EuL 3 E 2 and EuL 3 T 2 and (iii) the third one is dedicated to the modelling the EuL 3 E 2 and EuL 3 T 2 luminescence behaviour by exploiting the excited states properties and intermolecular energy transfer (IET) processes.
2 Results and discussion
2.1 Ground state geometries for L, EuL3E2 and EuL3T2
Positional disorder in X-ray crystal structure (CCDC 1539534) suggests that L occurs as two rotamers (Fig. S1; hereafter, A and B) whose percentages amount to 85 ± 0.5 % (A) and 15 ± 0.5 % (B) [35]. In A, both thiophene rings “point” in the same directions, with two S atoms on the same side of the diketone oxygen atoms, while in B the S atoms point at opposite sides. Geometrical parameters of both A and B have been optimized by adopting either the PBE or the B3LYP functionals and, independently of the adopted exchange-correlation (XC) functional, A resulted more stable than B (0.39 kcal/mol and 0.50 kcal/mol in PBE and B3LYP calculations, respectively). All computational details for calculations are reported in Supplementary Information. If a Boltzmann population is assumed for the two rotamers and the energy differences are taken into account, the theoretical distribution at room temperature (RT, 298.15 K) can be obtained by:
where
X-ray data for EuL 3 E 2 (CCDC 1539532) and EuL 3 T 2 (CCDC 1539535) are reported in ref [19, 35] and corresponding geometries have been used as a starting point for the geometry optimisation calculations. To simplify the comparison between theoretical and experimental structures, the following key quantities have been monitored throughout the numerical experiments: (i) internuclear distances between Eu3+ and the coordinated O atoms of L; (ii) the angle formed by the O atoms of L and Eu; (iii) the angle formed by Eu and the central C atoms of two distinct L (see Fig. S4). In fact (i) and (ii) provide information about the Eu3+ coordination environment, while (iii) supply details about the L relative orientation. The comparison of the EuL 3 E 2 and EuL 3 T 2 optimized geometrical parameters with the experimental outcomes (see Tables S1 and S2, respectively) reveals the very good agreement between experiment and theory (Fig. S5), with the Eu-O distances slightly overestimated by ∼2 % on average (see Table S3). Again, tiny deviations may be tentatively attributed to crystal packing phenomena. Before moving to the analysis of spectroscopic data, let us emphasise that B3LYP and PBE geometrical parameters are very similar (Fig. S6), with the former performing slightly better than the latter but at a significantly higher computational cost: the EuL 3 E 2 B3LYP geometry optimisation took 17 times more CPU time than the PBE one with the same starting geometry. As the differences between B3LYP and PBE optimized geometries are almost negligible, EuL 3 T 2 calculations have been carried out by exploiting only the PBE functional (the PBE optimised geometry of EuL 3 T 2 is compared with its X-ray structure in Fig. S7). As a whole, DFT calculations provide a reliable prediction of the ground state geometry of the Eu3+ complexes and the optimised structures are in very good agreement with X-ray data.
2.2 L, EuL3E2 and EuL3T2 absorption spectra
The L absorption spectrum has a single broad band in the near UV region (around 375 nm) and two evident shoulders at 395 and 360 nm (Fig. 2, solid line).

Normalized experimental absorption spectrum of L (solid black line) recorded in solution (toluene) superimposed to the different theoretical vertical excitation energies on the rotamer A estimated by adopting the B3LYP optimised ground state geometry but diverse XC functionals (SAOP, LB94, PBE0, B3LYP) (a). 3D plots of the MOs mainly contribute to the electronic transition (b).
TD-DFT numerical experiments have been carried out by exploiting diverse XC functionals (SAOP, LB94, PBE0 and B3LYP) and by using the B3LYP optimized ground state geometry. Regardless of the adopted XC functional, the near UV region includes only one intense transition (Fig. 2a and Table S4) involving the highest occupied molecular orbital (HOMO) and lowest unoccupied molecular orbitals (LUMO), both of them delocalized over the whole molecule (Fig. 2b). PBE0 and B3LYP XC functionals overestimate the HOMO–LUMO ΔE, a well-known hybrid functional drawback [38, 39], while the agreement between experiment and theory for SAOP and LB94 functional, specifically designed to estimate excitation energies, is somehow better. More specifically, the SAOP HOMO–LUMO ΔE (385 nm) lies very close to the absorption spectrum’s highest intensity peak (375 nm), while the LB94 one (400 nm) is at the edge of the spectrum, close to the lower energy shoulder (395 nm). As a whole, the absolute position of vertical transitions indicates that the SAOP XC functional provides the best numerical agreement between experiment and theory. Literature results pertaining to β-diketones ligands formed by a thienyl group and different polycyclic aromatic hydrocarbons (naphthyl, phenanthryl and pyrenyl) are consistent with the results herein reported [26]. Despite such a semi-quantitative agreement, we cannot be silent about the failure of the tested XC functionals in reproducing the presence of the different shoulders characterizing the absorption spectrum of L. Indeed, an accurate simulation of the excited state energies is a key factor to reproduce luminescence properties and hopes to drive the design and the synthesis of new materials.
Besides the electronic transitions, it is well known that the absorption spectrum shape is determined by different factors such as the presence of (i) diverse L geometrical isomers (such as rotamers); (ii) different L structural isomers (keto-enol tautomerism in β-diketone ligands) and (iii) vibronic progression based on the Franck–Condon principle. The shoulders’ origin in the L absorption spectrum has been then rationalized by individually considering, via DFT methods, all these factors. The absorption spectra of rotamers A, B and C have been modelled with both SAOP and LB94 functionals and, for all the rotamers, only one high-intensity TD-DFT transition (∼385 nm) is present in the UV–Vis region (see Fig. S8). The shoulders characterizing the L absorption spectrum cannot be then attributed to the presence of different L rotamers in solution and different factors need to be explored.
Even though the L NMR data are consistent with the coexistence of both enol and ketone isomers, the former species is strongly prevalent [35], perfectly in agreement with the optimized B3LYP geometry of L in its enolic form, more stable than that corresponding to the keto isomer of 6.84 kcal/mol, probably as a consequence of the higher electronic delocalisation taking place in the enol species (see in Fig. S9 the strongly localized nature of the HOMO in the ketone isomer). It has been already mentioned that a single electronic HOMO–LUMO transition at 385 nm is expected for the enol isomer on the basis of TD-DFT/SAOP calculations (see Fig. 2), while, in agreement with the literature data of Suwa et al. [40] which assigned the far UV region (∼260 nm) of the absorption spectrum of L in acetonitrile to the ketone isomer, the corresponding theoretical spectrum is characterized by several excitations around 270 nm. Thus, the ketonic form of L cannot be invoked to explain the shape of its spectrum in the region of interest (320–420 nm), which would seem to be then determined by the vibronic progression. As such, it is useful to remind that TD-DFT only considers purely electronic transitions, i.e., no vibrational components are included. The modelling of a vibrationally resolved spectrum needs the evaluation of Franck-Condon factors. Specifically, the theoretical vibrational progression has to be offset by taking into account the energy of the corresponding electronic transition, and the vibrationally resolved spectrum is obtained. Now, as the hybrid B3LYP and PBE XC functionals are not well suited to estimate excitation energies, only the LB94 and SAOP electronic transitions will be considered in the forthcoming discussion.
SAOP and LB94 vibrationally resolved absorption spectra of the rotamer A are superimposable, as they are both obtained by means of a Franck-Condon analysis carried out by adopting either the PBE or the B3LYP XC functional (see Fig. 3), the only difference being the opposite wavelength shift they need to match the recorded spectrum. Nevertheless, it has to be noted that the PBE Franck-Condon analysis is negligibly affected by the adopted number of vibrational quanta, while the B3LYP vibrational progression dramatically changes if transitions may also start from the first excited vibrational state (see Fig. 3). In even more detail, the agreement between experiment and theory is quantitative if ground state vibrationally excited levels are taken into account: the shoulders on the lower and higher wavelength side are estimated at 19 nm and 18 nm from the main peak, respectively. These two values in the experimental spectrum are 20 nm and 19 nm, respectively. As a whole, the adoption of the B3LYP functional and the inclusion of the vibronic progression not only allow a satisfactory mimicking of the absorption spectrum but also of the emission luminescence one (Fig. S11). Further details are reported in the Supplementary Information.

Normalized vibrationally resolved absorption spectra for the rotamer A of L. The calculated spectra have been redshifted by 10 nm from the HOMO → LUMO transition calculated at the TD-DFT/SAOP level. Geometries and frequencies were calculated with PBE (a) and B3LYP (b). Convoluted profiles have been obtained by using a Lorentzian broadening of 0.05 eV.
The role played by L in determining the EuL 3 E 2 and EuL 3 T 2 electronic properties and corresponding absorption spectra may be better appreciated by considering how spectral features vary upon moving from the free L to the Eu3+ complexes. The close similarity of the spectra (see Fig. 4a) suggests that the absorption properties are mainly determined by L, the main difference being a weak shoulder at ∼420 nm in the EuL 3 T 2 spectrum (see Fig. 4a).

Normalized experimental (a) and simulated (b, c) UV–Vis spectra for EuL 3 E 2 (b) and EuL 3 T 2 (c). Simulated spectra are obtained at the TD-DFT/SAOP and TD-DFT/LB94 levels by using the optimised PBE geometries. Electronic transitions of the free L have been also included for comparison..
Aimed to look into the origin of this feature, the EuL 3 E 2 and EuL 3 T 2 spectra have been then modelled. To minimize the corresponding computational cost, only electronic transitions have been considered while vibrational contributions to the spectra have been neglected. Once again, TD-DFT numerical experiments have been carried out by exploiting both LB94 and SAOP XC functionals (see Fig. 4b and c). Interestingly, at variance to L, whose 320–500 nm spectral region includes only the HOMO → LUMO transition, the spectra of both EuL 3 E 2 and EuL 3 T 2 , independently of the adopted XC functionals, are characterized by several high- and low-intensity excitations whose initial and final states are mainly generated by L-based HOMOs and LUMOs, respectively. As such, it is worthwhile to remind that the three ligands in EuL 3 E 2 and EuL 3 T 2 are not equivalent (Fig. S12). In addition, the likeness of the most intense electronic transition in EuL 3 E 2 and EuL 3 T 2 further supports the assumption that the complex spectra are scarcely affected by the Eu3+ presence. As far as low-intensity transitions are concerned, they both involve ligand-to-ligand charge transfer (CT) and, especially for EuL 3 T 2 ligand-to-metal (LMCT) transition. The LMCT minor contribution to the absorption spectra confirms that the L electronic properties are negligibly affected by the presence of the metal centre [26].
TD-DFT calculations may be also useful to look into the Eu3+ local environment if the attention is focused on 4f–4f transitions. Even though such analysis might be useful to thoroughly characterise the complexes, its detailed description is beyond the scope of the protocol and it is reported in the Supplementary Information.
2.3 EuL3E2 and EuL3T2 luminescence: excited states properties and intermolecular energy transfer (IET) process
The two complexes have different lifetimes and quantum yields: 60.7 μs and 0.4 % for EuL 3 E 2 , 170.8 μs and 5.0 %, for EuL 3 T 2 respectively [19]. Quite confidently, the EuL 3 T 2 longer lifetime may be attributed to the C2H5OH absence [19]. Indeed, ethanol increases the non-radiative decay rate (Anrad) and deactivates the 5D0 excited state of Eu3+ [19, 41, 42]. Rather than looking for the origin of the different spectroscopic properties of EuL 3 E 2 and EuL 3 T 2 , our goal is the quantitative reproduction of the experimental quantum yield PLQY and to obtain quantum efficiency, Arad, Anrad, the energy transfer rate (WET) and the back-energy transfer rate (WBT) values by combining experimental data (lifetime and emission spectrum) and TD-DFT calculations (energies of the L lowest singlet (S1) and triplet (T1) excited states). In addition, the literature Eu3+ selected (5D4, 5D1 and 5D0) excited states are used, whose choice has been determined by the evidence that the 5D0 state may be populated by three paths: (i) the energy transfer (ET) from S1 to 5D4 and then, for non-radiative decay, to 5D0; (ii) the ET from T1 to 5D1 and then, for non-radiative decay, to 5D0 or (iii) a direct ET from T1 to 5D0. The weights of the different paths are related to WET and WBT.
To rationalise and then quantify the different roles played by L and Eu3+, the energies of the L S1 and T1 excited states need to be known accurately. As such, the role of the triplet may be experimentally determined by substituting the Eu3+ ion with the Gd3+ one both in EuL 3 E 2 and EuL 3 T 2 : GdL 3 E 2 and GdL 3 T 2 emissions from S1 (fluorescence) and T1 (phosphorescence) excited states lie at ca. 23,800 cm−1 and ca. 18,900 cm−1, respectively [19]. As far as the theoretical modelling is concerned, a highly accurate T1 energy is crucial because the ΔE between T1 and the Eu3+ excited states ΔE(T1 − 5D0) is tightly bound to the quantum efficiency. Indeed, the T1 state must be higher in energy than the Eu3+ excited state (5D0) to prevent the back-ET from the Eu3+ emitting state to T1, which would favour the luminescence quenching. As recently shown in a study with L = β-diketonate [26], the T1 energy may be estimated through two distinct approaches: (i) the vertical transition (VT) approach [43] either as the lowest energy S0 → T1 TD-DFT vertical transition in the GS optimized geometry or as the lowest energy T1 → S0 TD-DFT vertical transition in the T1 optimized geometry; (ii) the adiabatic transition – AT approach [44], as the ΔE(T1 − S0) with both states in their optimised geometries (see Fig. S13). AT and VT T1 energies have been estimated for L, EuL 3 E 2 and EuL 3 T 2 as well as for LaL 3 E 2 and LaL 3 T 2 (see Table S6). According to the literature [26], the best-suited approach is the AT one and corresponding L T1 energies will be herein used to investigate the EuL 3 E 2 and EuL 3 T 2 ET processes. A detailed analysis of VT and AT values is reported in the Supplementary Information.
To model the L − Eu3+ ET, both the ET and the decay rates were evaluated by employing the LUMPAC code [22], where, in addition to TD-DFT results, the experimental spectrum for the Judd-Ofelt intensity parameters (omega) and the lifetime are necessary to gain quantum yield PLQY, quantum efficiency, Arad, Anrad, WET and WBT values. As far as Eu3+ is concerned, the ET has been modelled by considering only the three states 5D4, 5D1 and 5D0 (see above), whose energy values are fixed in the code; as far as L is concerned, the S1 and T1 energies must be computed. Despite LUMPAC would allow their estimate, the evaluation of T1 energies at the INDO/S-CI levels is significantly and systematically underestimated when compared with the experiment (see Table S7). Diverse geometries (PBE optimized geometry, X-ray data and Sparkle/RM1 optimized geometry) have been tested to evaluate the LUMPAC T1 energy; its values resulted in systematically underestimated by ∼3–4000 cm−1 and then a negligible energy transfer (Table S8). On the contrary, TD-DFT calculations combined with the AT approach provide T1 values, which better agree with the experiment. On this basis, the L S1 and T1 energies have been estimated at the DFT/SAOP level and used as input in LUMPAC to evaluate all the parameters useful to quantitatively model the EuL 3 E 2 and EuL 3 T 2 ET mechanism. In particular, Arad, Anrad, quantum efficiency, and PLQY for both complexes are shown in Table 1.
LUMPAC values for the radiative (Arad) and nonradiative (Anrad) decay rates, quantum efficiency, and quantum yield PLQY are reported obtained from experimental lifetimes of 60.7 μm (EuL 3 E 2 ) and 170.8 μm (EuL 3 T 2 ). In parentheses, PLQY experimental values. Ligand state energies (S1 and T1) are calculated at the TD-DFT SAOP and AT levels of theory, respectively.
EuL3E2 | EuL3T2 | |
---|---|---|
Arad (s−1) | 661 | 1143 |
Anrad (s−1) | 15814 | 4712 |
Quantum efficiency (%) | 4.01 | 19.52 |
PLQY (%) | 0.67 (0.4) | 3.48 (5.0) |
The emission quantum yield PLQY value is a relevant parameter because a direct comparison with the experimental data is possible. In LUMPAC, PLQY value is the ratio between the emitted and absorbed light intensities (see Eq. (3)):
where
The inspection of data reported in Table 1 reveals the substantial difference between Arad and Anrad values for both complexes. Moreover, the EuL
3
E
2
Anrad value (15814 s−1) is larger than the Arad one (661 s−1), while the opposite is true for EuL
3
T
2
(4712 s−1 and 1143 s−1 for Anrad and Arad, respectively). Such a difference can be explained by referring, in the former complex, to the presence of the O–H oscillators, which accounts for the lower PLQY and quantum efficiency. Theoretical outcomes herein reported allow us to gain further details on the radiative and non-radiative process: the EuL
3
E
2
Arad value is ∼½ the EuL
3
T
2
one, while the EuL
3
E
2
Anrad is ∼3 the EuL
3
T
2
one. This result suggests that ancillary ligands such as EtOH or TPPO influence differently radiative and non-radiative processes: they slightly affect the former, while they may significantly affect the latter. Further information about A
rad may be gained by referring to the contribution percentage of each Eu3+ 5D0 → 7FJ transition; in fact, not all transitions equally contribute to the radiative process. In this regard, it can be useful to mention that Arad and Anrad have been calculated in the past for similar Eu3+ complexes containing TPPO by using LUMPAC and literature results show similar trends [45, 46]. In the EuL
3
E
2
(EuL
3
T
2
) percentages to the radiative decay rate are 5D0 → 7F1 = 7.45 (4.31), 5D0 → 7F2 = 73.13 (88.52), 5D0 → 7F3 = 0.00 (0.00), 5D0 → 7F4 = 19.39 (7.14), 5D0 → 7F5 = 0.00 (0.00), and 5D0 → 7F6 = 0.03 (0.03). These values show that, in both complexes, the 5D0 → 7F2 transition has the largest percentage thus providing the major contribution to the radiative process, even if with sizable different percentages. Finally, the populations of the S0, 5D0 and T1 states have been calculated for both complexes:
As far as WET and WBT are concerned, they have been calculated within the Malta’s model [17, 47] by using LUMPAC code (see Table 2). In more detail, WET and WBT are obtained for the most relevant processes involving the ligand and the Eu3+ sides, S1 ↔ 5D4, T1 ↔ 5D1 and T1 ↔ 5D0 and they are presented in Table 2 and in Figs. S14 and S15.
Energy transfer (WET) and back energy transfer (WBT) rates calculated within the Malta’s model by using LUMPAC code for EuL 3 E 2 and EuL 3 T 2 . S1 and T1 energies have been evaluated at the TD-DFT SAOP and AT levels of theory, respectively.
Ligand state (cm−1) | Eu3+ 4f state (cm−1) | EuL3E2 | EuL3T2 | ||
---|---|---|---|---|---|
WET rate (s−1) | WBT rate (s−1) | WET rate (s−1) | WBT rate (s−1) | ||
S1 (25,986) | 5D4 (27,583) | 3.08 × 104 | 6.64 × 107 | 3.96 × 104 | 8.54 × 107 |
T1 (17,922) | 5D1 (18,973) | 9.05 × 103 | 1.82 × 106 | 1.12 × 104 | 2.24 × 106 |
T1 (17,922) | 5D0 (17,227) | 1.84 × 104 | 9.00 × 102 | 2.27 × 104 | 1.11 × 103 |
The position of the excited states involved in the ET mechanism makes WET and WBT very similar in both EuL 3 E 2 and EuL 3 T 2 . The first possible path to populate the 5D0 state is the ET from S1 to 5D4. The S1 → 5D4 WET is 104 s−1, definitely slower than the S1 → T1 inter-system crossing (rate = 108 s−1) [48], which cancels the former path weight. Such a peculiar behaviour is determined by the relative position of the 5D4 state, higher in energy than the S1 one by ∼2000 cm−1. The T1 state is populated at the expense of the 5D4 one and the main ET paths are from L T1 to Eu3+ lower excited states (5D1 and 5D0). A second possible alternative path to populate the 5D0 state is the ET from T1 to 5D1. For both complexes, the T1 → 5D1 WET is 104 s−1, while WBT amounts to 106 s−1. The latter value is of the same order of magnitude as the 5D1 → 5D0 non-radiative rate; thus, back-ET and the non-radiative decay are competitive processes and the 5D1 state may contribute to populating the 5D0 one. The third and final path corresponds to the direct T1 → 5D0 ET. For both complexes, the corresponding WET = 104 s−1, while WBT = 103 s−1. The direct ET seems thus to be the process most contributing to the 5D0 state population. Before going on, it can be of some interest to point out that the T1 → 5D0 WET is only twice the T1 → 5D1 one. This is due to the peculiar T1 relative position, whose energy is almost in between the 5D0 and 5D1 ones (see Figs. S14 and S15). Based on the theoretical luminescence parameters, we propose the following EuL 3 E 2 and EuL 3 T 2 ET diagram (Fig. 5). Dashed and full lines are associated with nonradiative and radiative paths, respectively, while curve dashed lines account for L → Eu3+ ET or Eu3+→ L back-ET.

EuL 3 T 2 and EuL 3 E 2 Jablonski energy-level diagram with most relevant ET channels. Theoretical photophysical properties (see also Tables 1 and 2) have been obtained by exploiting the LUMPAC code. Red and black arrows account for L → Eu3+ ET and Eu3+→ L back-ET, respectively. WET and WBT values are reported in Table 2.
In general, an efficient ligand → metal ET implies in Eu3+ complexes implies 2500 cm−1 < ΔE(T1 − 5D0) <4000 cm−1 [29]. Thus, in the presence of β-diketonate ligands, the ET is dominated by the exchange Dexter mechanism and WET is in the order of 108 s−1 [41, 49]. Moreover, in several diketonate complexes, E(T1) > E(5D0) and E(T1) > E(5D1) so that the T1 → 5D1 ET rate becomes the largest one [41]. Conversely, the T1 state has in the present case a peculiar position relative to the Eu3+ 5D0 and 5D1 low-lying excited states. Indeed, E(T1) > E(5D0) by only ∼1800 cm−1 but E(T1) < E(5D1) by ∼1100 cm−1. This evidence implies: (i) T1 → 5D0 and T1 → 5D1 WET are rather low (∼104 s−1) and (ii) the T1 → 5D1 WET is not the largest. Even though a further consequence of the peculiar T1 relative energy is the low quantum yields, it has to be underlined that EuL 3 E 2 and EuL 3 T 2 are extremely sensitive to temperature variations and thus making them useful for technological applications such as molecular thermometers.
3 Conclusions
The aim of this study is to present a general theoretical protocol based on DFT calculations to rationalize and possibly drive the design of luminescent Ln3+ complexes. Two Eu3+ tris(β-diketonate) complexes (EuL 3 E 2 and EuL 3 T 2 ) with a significantly different luminescence behaviour have been chosen to validate the protocol. EuL 3 E 2 , besides the tris(β-diketonate) as the main ligand, has two ethanol molecules as ancillary ligands, which are both substituted by triphenylphosphine oxide in EuL 3 T 2 . The well-known quenching capability of the –OH group, determines a luminescence quantum yield much lower in EuL 3 E 2 than in EuL 3 T 2 . The protocol, having as starting points the optimized geometries, the theoretical excited state energies and the experimental lifetimes, is able to quantitatively reproduce quantum yields and calculate Arad, Anrad WET and WBT (see Fig. 6). Diverse theoretical methodologies and computer packages are combined to insure, at each protocol step, the best agreement between experiment and theory.

Flowchart of the computational procedure (with relative functional and packages) for the vibrationally resolved absorption spectrum (blue side) and luminescence properties (green side) for L or Eu complexes. The orange boxes are the experimental data.
Numerical experiments carried out on L, EuL 3 E 2 and EuL 3 T 2 implied the optimization of their geometries and the modelling of their absorption spectra. Theoretical results have been then compared with corresponding experimental evidence as well as with data pertaining to the analogous Gd3+ complexes to obtain the T1 state. Specifically, absorption spectra and the T1 energies have been estimated via DFT-based methods, while the emission properties have been modelled by means of the LUMPAC software. Absorption spectra have been mimicked by adopting the PBE geometry and the agreement with structural and spectroscopic data has been found very good. As such, a satisfactory modelling of the L absorption spectrum shape needs that vibronic contribution to be taken into account. Two distinct TD-DFT approaches (VT and AT) have been adopted to estimate the T1 energies. Corresponding calculations have been carried out on L as well as on Eu3+ and La3+ complexes to better take into account minor geometrical variations. The outcomes of these numerical experiments show that the best-suited approach is the AT one. AT L triplet energies have been then used to investigate the EuL 3 E 2 and EuL 3 T 2 IET process. Finally, luminescence properties such as quantum yields, Arad, Anrad energy transfer and back-energy transfer rates contributions have been gained by using the LUMPAC code. Despite this software allowing the optimisation of geometrical parameters and the evaluation of the S1 and T1 energies, the T1 is systematically underestimated thus preventing an efficient energy transfer and good quantum yields. The Hobson choice to have a protocol able to provide quantitative modelling of the energy transfer mechanism in the two complexes has been the use of the TD-DFT, within the AT approach, combined with the LUMPAC code.
In this study, a protocol to investigate the optical properties of Eu3+ complexes by starting from the ligand is presented. By the way, the protocol is able to assess whether or not it is sufficient to concentrate on the ligand contributions. These outcomes can be straightforwardly extended to all Eu3+ complexes, where the T1 energy is usually unaffected upon moving from the free L to the complex. The estimate of the luminescence behaviour is limited to the evaluation of (i) the optimized geometries, (ii) the absorption spectrum and the energy of the T1 state, and (iii) the luminescence parameters. The application of the proposed protocol allows the relatively easy determination and screening of luminescence energy transfer processes of different complexes. This additional information could be fruitful to reduce the synthetic efforts to obtain luminescent systems with well-tailored and tuneable properties.
Funding source: Consiglio Nazionale delle Ricerche
Award Identifier / Grant number: PROGETTI@CNR P@CNR_01_ TerMoSmart
Funding source: Università degli Studi di Padova
Award Identifier / Grant number: P-DISC #CARL-SID17 BIRD2017-UNIPD
Award Identifier / Grant number: P-DiSC#01- BIRD2021
Acknowledgements
G.B., M.R. and L.A. thank the National Research Council PROGETTI@CNR P@CNR_01_ TerMoSmart and the University of Padova P-DiSC#01- BIRD2021 for financial support. S.C. and L.B. thank the Computational Chemistry Community (C3P) and grant P-DISC #CARL-SID17 BIRD2017-UNIPD, Project CHIRoN of the University of Padova for financial support..
References
[1] W. Levason. Coord. Chem. Rev. 340, 298 (2017). https://doi.org/10.1016/j.ccr.2017.04.003.Search in Google Scholar
[2] P.P. Ferreira da Rosa, Y. Kitagawa, Y. Hasegawa. Chem. Rev. 406, 213153 (2020). https://doi.org/10.1016/j.ccr.2019.213153.Search in Google Scholar
[3] L. Armelao, S. Quici, F. Barigelletti, G. Accorsi, G. Bottaro, M. Cavazzini, E. Tondello. Coord. Chem. Rev. 254, 487 (2010). https://doi.org/10.1016/j.ccr.2009.07.025.Search in Google Scholar
[4] J.C.G. Bünzli, C. Piguet. Chem. Soc. Rev. 34, 1048 (2005). https://doi.org/10.1039/b406082m.Search in Google Scholar PubMed
[5] J. Liu, J.S. Miao, H. Bin Wu. Luminescence 30, 393 (2015). https://doi.org/10.1002/bio.2745.Search in Google Scholar PubMed
[6] R. Devi, K. Singh, S. Vaidyanathan. J. Mater. Chem. C 8, 8643 (2020). https://doi.org/10.1039/d0tc01360a.Search in Google Scholar
[7] K. Singh, R. Boddula, S. Vaidyanathan. Inorg. Chem. 56, 9376 (2017). https://doi.org/10.1021/acs.inorgchem.7b01565.Search in Google Scholar PubMed
[8] J. Vallejo, J. Cano, I. Castro, M. Julve, F. Lloret, O. Fabelo, L. Cañadillas-Delgado, E. Pardo. Chem. Commun. 48, 7726 (2012). https://doi.org/10.1039/c2cc33674j.Search in Google Scholar PubMed
[9] F. Cao, Z. Yuan, J. Liu. J. Ling RSC Adv. 5, 102535 (2015). https://doi.org/10.1039/c5ra19710d.Search in Google Scholar
[10] L. Li, Y. Zhu, X. Zhou, C.D.S. Brites, D. Ananias, Z. Lin, F.A.A. Paz, J. Rocha, W. Huang, L.D. Carlos. Adv. Funct. Mater. 26, 8677 (2016). https://doi.org/10.1002/adfm.201603179.Search in Google Scholar
[11] L. Jia, T. Zhou, J. Xu, Z. Xu, M. Zhang, Y. Wang, Z. Li, T. Zhu. J. Mater. Sci. 51, 1324 (2016). https://doi.org/10.1007/s10853-015-9450-x.Search in Google Scholar
[12] V. Fernández-Moreira, B. Song, V. Sivagnanam, A.S. Chauvin, C.D.B. Vandevyver, M. Gijs, I. Hemmilä, H.A. Lehr, J.C.G. Bünzli. Analyst 135, 42 (2009), https://doi.org/10.1039/B922124G.Search in Google Scholar PubMed
[13] S. Quici, A. Casoni, F. Foschi, L. Armelao, G. Bottaro, R. Seraglia, C. Bolzati, N. Salvarese, D. Carpanese, A. Rosato. J. Med. Chem. 58, 2003 (2015). https://doi.org/10.1021/jm501945w.Search in Google Scholar PubMed
[14] J.C.G. Bünzli, S. V. Eliseeva. Chem. Sci. 4, 1939 (2013). https://doi.org/10.1039/c3sc22126a.Search in Google Scholar
[15] K.Y. Zhang, Q. Yu, H. Wei, S. Liu, Q. Zhao, W. Huang. Chem. Rev. 118, 1770 (2018). https://doi.org/10.1021/acs.chemrev.7b00425.Search in Google Scholar PubMed
[16] M.C. Heffern, L.M. Matosziuk, T.J. Meade. Chem. Rev. 114, 4496 (2014). https://doi.org/10.1021/cr400477t.Search in Google Scholar PubMed PubMed Central
[17] G.F. de Sá, O.L. Malta, C. de Mello Donegá, A.M. Simas, R.L. Longo, P.A. Santa-Cruz, E.F. da Silva. Chem. Rev. 196, 165 (2000). https://doi.org/10.1016/s0010-8545(99)00054-5.Search in Google Scholar
[18] L. Zhou, Y. Jiang, R. Cui, Y. Li, X. Zhao, R. Deng, H. Zhang. J. Lumin. 170, 692 (2016). https://doi.org/10.1016/j.jlumin.2015.02.053.Search in Google Scholar
[19] A. Carlotto, L. Babetto, S. Carlotto, M. Miozzi, R. Seraglia, M. Casarin, G. Bottaro, M. Rancan, L. Armelao. ChemPhotoChem 4, 674 (2020), https://doi.org/10.1002/cptc.202000116.Search in Google Scholar
[20] P.K. Shahi, A.K. Singh, S.B. Rai, B. Ullrich. Sens. Actuators A Phys. 222, 255 (2015). https://doi.org/10.1016/j.sna.2014.12.021.Search in Google Scholar
[21] J. Sun, B. Song, Z. Ye, J. Yuan. Inorg. Chem. 54, 11660 (2015). https://doi.org/10.1021/acs.inorgchem.5b02458.Search in Google Scholar PubMed
[22] J.D.L. Dutra, T.D. Bispo, R.O. Freire. J. Comput. Chem. 35, 772 (2014). https://doi.org/10.1002/jcc.23542.Search in Google Scholar PubMed
[23] R.Q. Albuquerque, N.B. da Costa, R.O. Freire. J. Lumin. 131, 2487 (2011). https://doi.org/10.1016/j.jlumin.2011.06.013.Search in Google Scholar
[24] R.O. Freire, F.R.G. Silva, M.O. Rodrigues, M.E. de Mesquita, N.B. da Costa. J. Mol. Model. 12, 16 (2005). https://doi.org/10.1007/s00894-005-0280-7.Search in Google Scholar PubMed
[25] M. Hatanaka, A. Osawa, T. Wakabayashi, K. Morokuma, M. Hasegawa. Chem. Chem. Phys. 20, 3328 (2018). https://doi.org/10.1039/c7cp06361j.Search in Google Scholar PubMed
[26] L. Babetto, S. Carlotto, A. Carlotto, M. Rancan, G. Bottaro, L. Armelao, M. Casarin. Dalton Trans. 49, 14556 (2020). https://doi.org/10.1039/d0dt02624g.Search in Google Scholar PubMed
[27] L. Babetto, S. Carlotto, A. Carlotto, M. Rancan, G. Bottaro, L. Armelao, M. Casarin. Inorg. Chem. 60, 315 (2021). https://doi.org/10.1021/acs.inorgchem.0c02956.Search in Google Scholar PubMed PubMed Central
[28] S. Carlotto, L. Babetto, M. Bortolus, A. Carlotto, M. Rancan, G. Bottaro, L. Armelao, D. Carbonera, M. Casarin. Inorg. Chem. 60, 50 (2021). https://doi.org/10.1021/acs.inorgchem.1c01123.Search in Google Scholar PubMed PubMed Central
[29] M. Latva, H. Takalob, V.M. Mukkala, C. Matachescu, J.C. Rodríguez-Ubis, J. Kankare. J. Lumin. 75, 149 (1997). https://doi.org/10.1016/s0022-2313(97)00113-0.Search in Google Scholar
[30] C.D.S. Brites, A. Millán, L.D. Carlos. Lanthanides in Luminescent Thermometry, in Handbook on the Physics and Chemistry of Rare Earths, 49, pp. 339–427, Elsevier Science B.V., Amsterdam (2016).10.1016/bs.hpcre.2016.03.005Search in Google Scholar
[31] C.D.S. Brites, S. Balabhadra, L.D. Carlos. Adv. Opt. Mater. 7, 1801239 (2019). https://doi.org/10.1002/adom.201801239.Search in Google Scholar
[32] J. Rocha, C.D.S. Brites, L.D. Carlos. Chem. – Eur. J. 22, 14782 (2016). https://doi.org/10.1002/chem.201600860.Search in Google Scholar PubMed
[33] C. Bradac, S. Fang Lim, H.-C. Chang, I. Aharonovich, C. Bradac, I. Aharonovich, A.S.F. Lim, H. Chang. Adv. Opt. Mater. 8, 2000183 (2020). https://doi.org/10.1002/adom.202000183.Search in Google Scholar
[34] C.D.S. Brites, P.P. Lima, N.J.O. Silva, A. Millán, V.S. Amaral, F. Palacio, L.D. Carlos. Nanoscale 4, 4799 (2012). https://doi.org/10.1039/c2nr30663h.Search in Google Scholar PubMed
[35] L. Armelao, A. Carlotto, F. Mian, J. Tessarolo, G. Bottaro, M. Rancan. Can. J. Chem. 95, 1183 (2017). https://doi.org/10.1139/cjc-2017-0200.Search in Google Scholar
[36] A.S. Amant, W.D. Cornell, P.A. Kollman, T.A. Halgren. J. Comput. Chem. 16, 1483 (1995), https://doi.org/10.1002/jcc.540161206.Search in Google Scholar
[37] J. Frank. in Introduction to Computational Chemistry, p. 660, John Wiley & Sons, West Sussex, 3rd ed. (2017).Search in Google Scholar
[38] G. Zhang, C.B. Musgrave. J. Phys. Chem. A 111, 1554 (2007). https://doi.org/10.1021/jp061633o.Search in Google Scholar PubMed
[39] M.A. Marques, C.A. Ullrich, F. Nogueira, A. Rubio, K. Burke, E.K. Gross. in Time-Dependent Density Functional Theory, 706, Springer, Berlin, Heidelberg (2006).10.1007/b11767107Search in Google Scholar
[40] Y. Suwa, M. Yamaji. J. Photochem. Photobiol. A Chem. 316, 69 (2016). https://doi.org/10.1016/j.jphotochem.2015.10.010.Search in Google Scholar
[41] J.C.A. Júnior, G.L. dos Santos, M. V. Colaço, R.C. Barroso, F.F. Ferreira, M. V. dos Santos, N.R. de Campos, M. V. Marinho, L.T. Jesus, R.O. Freire, L.F. Marques. J. Phys. Chem. C 124, 9996 (2020). https://doi.org/10.1021/acs.jpcc.0c01374.Search in Google Scholar
[42] C. Daiguebonne, A. Deluzet, M. Camara, K. Boubekeur, N. Audebrand, Y. Gérault, C. Baux, O. Guillou. Cryst. Growth Des. 3, 1015 (2003). https://doi.org/10.1021/cg020060b.Search in Google Scholar
[43] D. Jacquemin, E.A. Perpète, I. Ciofini, C. Adamo. J. Chem. Theory Comput. 6, 1532 (2010). https://doi.org/10.1021/ct100005d.Search in Google Scholar PubMed
[44] F. Gutierrez, C. Tedeschi, L. Maron, J.P. Daudey, R. Poteau, J. Azema, P. Tisnès, C. Picard. Dalton Trans. 1334 (2004), https://doi.org/10.1039/B316246J.Search in Google Scholar PubMed
[45] A.I.S. Silva, V.F.C. Santos, N.B.D. Lima, A.M. Simas, S.M.C. Gonçalves. RSC Adv. 6, 90934 (2016). https://doi.org/10.1039/c6ra20609c.Search in Google Scholar
[46] N.B.D. Lima, J.D.L. Dutra, S.M.C. Goncalves, R.O. Freire, A.M. Simas. Sci. Rep. 6, 1 (2016). https://doi.org/10.1038/srep21204.Search in Google Scholar PubMed PubMed Central
[47] O.L. Malta. J. Lumin. 71, 229 (1997). https://doi.org/10.1016/s0022-2313(96)00126-3.Search in Google Scholar
[48] J.R. Lakowicz. in Principles of Fluorescence Spectroscopy, pp. 1–954, Springer, New York (2006).10.1007/978-0-387-46312-4Search in Google Scholar
[49] I.J. Al-Busaidi, R. Ilmi, J.D.L. Dutra, W.F. Oliveira, A. Haque, N.K. Al Rasbi, F. Marken, P.R. Raithby, M.S. Khan. Dalton Trans. 50, 1465 (2021). https://doi.org/10.1039/d0dt04198j.Search in Google Scholar PubMed
Supplementary Material
This article contains supplementary material (https://doi.org/10.1515/pac-2023-0118).
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