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Article

The Role of Percent Volume Buried in the Characterization of Copper(I) Complexes for Lighting Purposes

by
Murat Alkan-Zambada
1,*,
Edwin C. Constable
2 and
Catherine E. Housecroft
2
1
Laboratory of Inorganic Synthesis and Catalysis, Institute of Chemical Sciences and Engineering, École Polytechnique Fédérale de Lausanne (EPFL), ISIC-LSCI, BCH 3305, 1015 Lausanne, Switzerland
2
Department of Chemistry, University of Basel, BPR 1096, Mattenstrasse 24a, CH-4058 Basel, Switzerland
*
Author to whom correspondence should be addressed.
Molecules 2020, 25(11), 2647; https://doi.org/10.3390/molecules25112647
Submission received: 20 May 2020 / Revised: 2 June 2020 / Accepted: 3 June 2020 / Published: 6 June 2020
(This article belongs to the Special Issue Researches on Photonics and Plasmonics)
Browse Figures
Versions Notes

Abstract

:
The usefulness of percent volume buried (%Vbur) as a readily quantifiable property is investigated with regard to [Cu(NN)(PP)]+ complexes of interest for lighting purposes. Photoluminescence quantum yields (PLQYs) and single crystal X-ray structures of 100 reported compounds were assembled, %Vbur of the ligand systems were calculated and analyzed for correlations. We found that increased shielding of the central Cu(I) cation relying on shared contributions of both (NN) and (PP) ligand systems led to increased PLQYs. These findings are of relevance for future characterizations of Cu(I)-based complexes and their photophysical behavior in the solid-state.

Graphical Abstract

1. Introduction

Ionic transition metal complexes (iTMCs) are widely present in chemistry for e.g., catalysis or lighting purposes. Understanding of the electronic and steric effects of ligands on the iTMCs is essential to improve rational design of iTMCs for their varied purposes. While quantifying electronic effects of ligands onto metal complexes can be performed by spectroscopic methods such as IR, [1] similar quantification of the steric impact is less straight-forward. Tolman cone-angles have been introduced for the calculation of steric parameters [2] and widely used but suffer limitations as its usefulness is greatly diminished when applied to more elaborate mono- or bi-dentate ligands. Consequently, Nolan and Cavallo introduced the percent volume buried (%Vbur) as a quantifiable parameter to describe any given ligand [3]. The %Vbur describes the volume occupied by any given ligand inside a sphere with a 3.5 Å radius around the metal center and topographical steric maps [4] are created using SambVca 2.1 package [5]. Since its introduction, the %Vbur parameter has proven to be useful as a descriptor of iTMCs in catalysis [6,7,8,9]. In the field of iTMC-based lighting devices, however, it has not gained attention despite its potential in structural analysis.
Heteroleptic copper(I)-based iTMCs have been employed in light-emitting electrochemical cells (LECs) and represent a promising avenue towards cost-efficient and sustainable lighting devices [10,11,12]. Consequently, understanding of the photophysical behavior of these complexes has guided their improved design for applications in LECs [13,14,15,16,17,18]. Electronic properties such as redox potentials, absorption and emission spectra are among the descriptors used in the analysis of Cu(I) complexes. Quantifiable descriptors of steric factors, however, are mostly limited to discussions regarding angles and/or bond-lengths in X-ray single crystal structures. We have recently evaluated the effect that Cu···O distances in the {Cu(POP)} and {Cu(xantphos)} domains of [Cu(P^P)(N^N)][X] (POP = bis(2-(diphenylphosphanyl)phenyl)ether; xantphos = 4,5-bis(diphenylphosphanyl)-9,9-dimethyl-9H-xanthene) compounds have on solid-state photoluminescence quantum yield (PLQY) values [19]. Discussions regarding steric shielding of the copper(I) complex cation by the ligands are mostly limited to simplistic comparisons of steric bulk imposed by ligand-substituents [19,20,21,22,23,24,25,26,27]. Therefore, we sought to investigate the usefulness of %Vbur with regard to Cu(I)-based iTMCs in lighting devices. As a case study we chose [Cu(NN)(PP)]+ systems (where NN and PP refer to bidentate diimine and mono- or bi-dentate bisphosphane ligands) due to its popularity and photoluminescence quantum yields (PLQYs) because of the importance of large PLQY values for lighting purposes.

2. Results and Discussion

2.1. General Strategies

The Cambridge Structural Database (CSD) [28] was searched for compounds consisting of mononuclear [Cu(NN)(PP)]+ units where NN and PP refer to diimine and bisphosphane ligands. Searches were made using CSD version 5.4.1 and ConQuest version 2.0.4. [29]. The results were then further reduced to compounds with reported solid-state photoluminescence quantum yields (PLQYs). Particularly, values for thin-film PLQYs were not included as such values can differ from PLQYs of powder or crystal samples [11,18,25]. Moreover, PLQY values for crystalline samples were chosen over powder samples where such differentiations were made [30]. Similarly, PLQY values obtained under air were chosen over values obtained under an Ar atmosphere where such differentiations were made [31]. A total of 100 compounds were found and their %Vbur was calculated for the (NN), (PP) and (NN)(PP) units which are referred to as %Vbur(NN), %Vbur(PP) and %Vbur(NN + PP) (Table S1, supporting information) [17,18,19,20,21,23,24,25,26,27,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48]. All compounds contain bidentate diimine and bisphosphane ligands with one exception containing a bidentate diimine and two monodentate triphenylphosphano ligands (CCDC: 1558486) [45]. Where a compound contained more than one independent cation in the asymmetric unit, the %Vbur values were calculated for each independent cation, resulting in a total of 123 data points for 100 compounds. An inherent bias is present in these values as compounds with low PLQYs may be inevitably not fully investigated or reported with regards to solid state PLQY values and X–ray single crystal structures. Furthermore, the spread of %Vbur is biased by virtue of the commercial availability of ligands, the synthetic feasibility of ligand scaffolds as well as the synthetic feasibility of different [Cu(NN)(PP)]+ complexes. As the PLQY values were measured by different groups or by different means, those values may thus be subject to varying errors. Consequently, we assume an error of ±10% of a given PLQY value, e.g., ±5% for a PLQY of 50%. The end result of an analysis for a given compound is summarized in Figure 1 for the archetypical [Cu(bpy)(xantphos)]+ (1) (bpy = 2,2′-bipyridine). Topographical steric maps for the (NN), (PP) and (NN)(PP) subunits are shown including the total %Vbur as well as the %Vbur for the four quadrants. The topographical steric maps plot the metal at the center of the reference axes (X, Y) splitting the plot into four quadrants. The volume occupied by the ligands is indicated by contour lines (Z axis) where positive values refer to the upper hemisphere of the sphere.

2.2. Macroscopic Level

Scatter plots of the results for all 123 data points of the 100 compounds are shown in Figure 2. Careful analysis of these scatter plots suggests that, firstly, there is a small positive impact of increased %Vbur(NN) on the PLQY (Figure 2a), and, second, an optimal %Vbur(PP) seems to be located at ca 56%. An increase or decrease of %Vbur(PP) negatively impacts the PLQY (Figure 2b). Thirdly, similar to %Vbur(PP), there seems to be an optimal %Vbur(NN + PP) located at ca 92% (Figure 2c). The fourth point is that %Vbur(NN + PP) strongly depends on %Vbur(PP) while the %Vbur(NN) has little impact (Figure 2d–f).
For a more detailed analysis of the results, color-coded three-dimensional scatter plots were generated including all four variables (Figure 3 and Figures S1–S3, Supplementary Materials). The PLQY was plotted against two %Vbur values with the remaining third %Vbur color-coded in the scatter plots. All three iterations of such plots support the dependence of large %Vbur(NN + PP) for large PLQYs as seen in Figure 2c. Furthermore, these plots reveal that the best outcome is achieved by a shared %Vbur between the NN and PP ligands. A large %Vbur(NN + PP) relying mostly on the PP ligand, on the other hand, yields low PLQYs. This shared contribution from both ligand units to the %Vbur(NN + PP) seems to be the cause for the above mentioned observation regarding a perceived optimal %Vbur(PP) at ca 56%. Most likely, a shared contribution of %Vbur(NN) and %Vbur(PP) within the [Cu(NN)(PP)]+ framework is more difficult to achieve for %Vbur(PP) > 60% resulting in only three data-points in that regime. At this point it should be mentioned again that the values presented here are biased by synthetic feasibility and only serve to reflect empirical trends in reported values and the usefulness of %Vbur.

2.3. Case Study 1: Importance of Steric Effects

In 2018, we reported twelve copper(I) complexes with 6-alkoxy- or 6-alkylthio-substituted bpy ligands in combination with xantphos (2a–7a) or POP (2b–7b) (Figure 4) [26]. The complexes were investigated by means of single crystal X-ray analysis, NMR spectroscopy, absorption and emission spectra, cyclic voltammetry as well as excited state lifetime measurements and density functional theory (DFT) calculations. The observed PLQY values (Table 1) were analyzed and a trend was established of increased PLQY by increased rigidity of xantphos compared to POP as well as increased steric bulk of the NN ligand in the order of bpyXMe < bpyXEt < bpyXPh (X = O, S). However, %Vbur is not included in this discussion and the explanation as such is only partially supported by the reported values (compare PLQYs of 2a and 4a or 2b and 4b). Thus, the available photophysical properties in combination with the relatively large set of substrates renders this set of compounds a suitable case study for the inclusion of %Vbur as a descriptor in the discussion of photophysical properties.
The PLQY values for the series of complexes shown in Figure 4 as well as %Vbur are summarized in Table 1 and Figure 5. An analysis of the %Vbur(NN) values shows that the intuitive assignment of increased steric bulk in the order of bpyXMe < bpyXEt < bpyXPh (× = O, S) is not reflected in the percent volume buried. Instead the following order is more appropriate based on the calculated %Vbur(NN):
For P^P = Xantphos: bpyOPh < bpyOMe ≈ bpyOEt < bpySEt ≈ bpySPh ≈ bpySMe
For P^P = POP:    bpyOPh < bpyOMe ≈ bpyOEt < bpySPh ≈ bpySMe < bpySEt
Overall, the %Vbur(PP) values for POP are larger than those for xantphos with the exception of compounds 7a and 7b. Moreover, %Vbur(NN + PP) seems to increase with %Vbur(NN) while the largest %Vbur(NN + PP) appears to be located at a medium %Vbur(PP) of ca. 56.5%. Visualization of all four properties in color-coded three-dimensional scatter plots reveals that the highest PLQY values are reached when a high %Vbur(NN + PP) is achieved by a combination of high %Vbur(NN) and %Vbur(PP) (Figure 6), in agreement with the interpretation of all 100 compounds (vide supra). Notably, comparing 5a or 6a to 7a shows an increased PLQY with an increased %Vbur(PP) or %Vbur(NN + PP) while a similar correlation is not present when comparing 5a to 6a which only differ in %Vbur(NN). Consequently, the nature of the differing PLQYs when comparing 5a and 6a is not due to the steric effects of the particular ligand system. Alternative explanations may be based on crystal packing such as improved accessibility of atmospheric O2 to the complex [20].

2.4. Case Study 2—Investigating Electronic Effects

Tsubomura and co-workers reported a series of seven heteroleptic copper(I) complexes in 2015 with the aim of investigating oxygen-responsive luminescence in the solid state. The single crystal X-ray structures of compounds 8–12 (Figure 7) were reported as well as powder PLQY values under air and under an argon atmosphere (Table 2) [31]. Given the choice of N^N and P^P ligands made by the authors, it is assumed that differences in PLQY are mostly due to electronic effects with the exception of 8 and 10. The authors rationalize the trends in the observed PLQYs through differences in the crystal packing preventing structural rearrangement and differences in the transitions based on DFT calculations. Special emphasis was placed on the presence of voids in the crystal lattices which allows for excited state quenching by atmospheric O2. While significant differences in shielding by the ligands of the central copper(I) cation are not expected, we considered that an analysis of %Vbur may provide further insight. Most importantly, %Vbur values allow for a straight-forward, quantitative comparison of steric effects if these are indeed present.
An analysis of the scatter plots in Figure 8 indicates that steric effects may participate in the decrease of PLQY in the case of 8 and 10. The remaining compounds are almost identical in the %Vbur values and any differences in PLQY may be attributed to electronic effects. On the other hand, effects due to differences in crystal packing can be excluded as changes in PLQY under air or under Ar atmosphere are absent or negligible. Only complex 10 exhibits a significant increase in PLQY upon removal of atmospheric O2. Structural shielding by the ligand system for compound 10 may be present but is negated by the presence of voids in the crystal packing and effective quenching of the excited state by O2 and energy transfer occurs instead. The lack of change in the PLQYs for the remaining compounds may be explained by structural rigidity inferred by the crystal packing rather than shielding of the central copper(I) cation.

2.5. Case Study 3—Differentiating Steric from Electronic Factors

In 2016, two of us reported a series of heteroleptic [Cu(NN)(PP)]+ complexes with 6- or 6,6’-substituted bpy ligands in combination with POP or xantphos (13–18, Figure 9) [18]. Following investigations of the structural and photophysical properties, the complexes were tested in LECs and were also investigated using DFT calculations. While high PLQY values were obtained for complexes 13, 14, 16 and 17 (Figure 9), it was observed that replacing the Me or Et substituent with a Ph group resulted in a significantly lower PLQY (Table 3). We ascribed this sharp drop in PLQY to a lower T1 state leading to increased feasibility of non-radiative decay pathways for 15 and 18. We note that the structural discussions in the original publication did not provide a conclusive relationship between steric effects on the observed PLQYs. While %Vbur does not yield any insight into electronic effects, it does offer a concise overview of possible steric effects.
Analysis of the %Vbur values does not result in a clear correlation between the shielding of the central Cu(I) cation and PLQY values (Table 3). Graphical representation of these values further shows that the observed low PLQYs for 15 and 18 do not fit any possible correlation (Figure 10). Lastly, color-coded three-dimensional scatter plots clearly reveal that large PLQY values are obtained by virtually any combination of %Vbur with no correlation (Figure 11) as opposed to the correlations seen in case study 1 or in the analysis of all 100 complexes. This further supports the original hypothesis of lowered PLQY values due to a lowered T1 state by virtue of the phenyl substituent.

3. Materials and Methods

The Cambridge Structural Database (CSD) [28] was searched for compounds consisting of mononuclear [Cu(NN)(PP)]+. Searches were made using CSD version 5.4.1 and ConQuest version 2.0.4 [29]. Literature sources of the results were searched for reports of appropriate PLQY values which were collected together with the CIF files (Table S1 in the Supplementary Material). Topographical steric maps [4] were created using SambVca 2.1 package (https://www.molnac.unisa.it/OMtools/sambvca2.1/index.html) [5]. XYZ of the crystal structures were uploaded and the Cu(I) cation was defined as the center of the sphere. The negative Z-axis was defined by the N-atoms of the diimine for %Vbur(NN) and %Vbur(NN + PP) or by the P-atoms of the bisphosphane for %Vbur(PP). The P-atoms of the bisphosphane defined the XZ-plane for %Vbur(NN) and %Vbur(NN + PP) and the N-atoms of the diimine for %Vbur(PP). All atoms, except for the diimine ligand, bisphosphane ligand or both ligands, were deleted to calculate %Vbur(NN), %Vbur(PP) and %Vbur(NN + PP), respectively. The Bondi radii were scaled by 1.17 and the sphere radius chosen as r = 3.5 Å. Mesh spacing of 0.10 Å was used for the numerical integration and H-atoms were excluded.

4. Conclusions

We have demonstrated that values of %Vbur represent a means of quantifying relationships between structure and PLQYs of heteroleptic [Cu(NN)(PP)]+ complexes. Using the CSD as a source of structural data, we were able to analyze 100 [Cu(NN)(PP)]+ complexes for which solid state PLQYs and single-crystal X-ray structures were available; this provided 123 data points. Analysis of all complexes showed that PLQY values are the highest when %Vbur(NN + PP) is maximized by an increased %Vbur(NN) and %Vbur(PP). Three case studies underline the potential usefulness of including %Vbur as an addition in the structural discussion of [Cu(NN)(PP)]+ complexes as it relates to solid-state photophysical behavior.

Supplementary Materials

The following are available online: Figure S1–S3: 3-Dimensional scatter plot with color-coded %Vbur(PP), %Vbur(NN + PP) or PLQY of all 100 compounds found, Table S1: Reported PLQY values for powder samples for Cu(I) complexes and %Vbur for (NN), (PP), and (NN)(PP) units.

Author Contributions

Conceptualization, investigation, formal analysis, M.A.-Z.; manuscript draft: M.A.-Z., Manuscript editing and discussion of concepts and interpretation of data: C.E.H. and E.C.C. All authors have read and agreed to the published version of the manuscript.

Funding

There was no external funding for this project.

Acknowledgments

C.E.H. and E.C.C. thank the University of Basel for continued support. M.A.-Z. thanks Xile Hu for discussion.

Conflicts of Interest

The authors declare no conflict of interest.

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Sample Availability: No new compounds were prepared in this work; no samples are available from the authors.
Molecules 25 02647 g001 550
Figure 1. Topographical steric maps for bpy (a), xantphos (b) and for {(bpy)(xantphos)} (c) of [Cu(bpy)(xantphos)]+ (1) and a schematic representation of (NN), (PP) and (NN)(PP) subunits indicated in dotted lines used for the calculations of the respective percent volume buried (%Vbur). Values in the corners of the topographical steric maps refer to the %Vbur of the respective quadrants and the total %Vbur are listed below. Axes of the topographical steric maps (in Å) refer to the X and Y reference axes and the Z axis is indicated by the contour lines (positive values refer to the upper hemisphere).
Figure 1. Topographical steric maps for bpy (a), xantphos (b) and for {(bpy)(xantphos)} (c) of [Cu(bpy)(xantphos)]+ (1) and a schematic representation of (NN), (PP) and (NN)(PP) subunits indicated in dotted lines used for the calculations of the respective percent volume buried (%Vbur). Values in the corners of the topographical steric maps refer to the %Vbur of the respective quadrants and the total %Vbur are listed below. Axes of the topographical steric maps (in Å) refer to the X and Y reference axes and the Z axis is indicated by the contour lines (positive values refer to the upper hemisphere).
Molecules 25 02647 g001
Molecules 25 02647 g002 550
Figure 2. Scatter plots of photoluminescence quantum yield (PLQY), %Vbur(NN), %Vbur(PP) and %Vbur(NN + PP) for all 100 compounds [17,18,19,20,21,23,24,25,26,27,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48]. (a) Scatter plot of PLQY vs. %Vbur(NN). (b) Scatter plot of PLQY vs. %Vbur(PP). (c) Scatter plot of PLQY vs. %Vbur(NN + PP). (d) Scatter plot of %Vbur(NN) vs. %Vbur(NN + PP). (e) Scatter plot of %Vbur(PP) vs. %Vbur(NN + PP). (f) Scatter plot of %Vbur(NN) vs. %Vbur(PP).
Figure 2. Scatter plots of photoluminescence quantum yield (PLQY), %Vbur(NN), %Vbur(PP) and %Vbur(NN + PP) for all 100 compounds [17,18,19,20,21,23,24,25,26,27,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48]. (a) Scatter plot of PLQY vs. %Vbur(NN). (b) Scatter plot of PLQY vs. %Vbur(PP). (c) Scatter plot of PLQY vs. %Vbur(NN + PP). (d) Scatter plot of %Vbur(NN) vs. %Vbur(NN + PP). (e) Scatter plot of %Vbur(PP) vs. %Vbur(NN + PP). (f) Scatter plot of %Vbur(NN) vs. %Vbur(PP).
Molecules 25 02647 g002
Molecules 25 02647 g003 550
Figure 3. 3-Dimensional scatter plot with color-coded %Vbur(NN) of all 100 compounds found in the Cambridge Structural Database (CSD) (Table S1, Supplementary Materials) [17,18,19,20,21,23,24,25,26,27,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48].
Figure 3. 3-Dimensional scatter plot with color-coded %Vbur(NN) of all 100 compounds found in the Cambridge Structural Database (CSD) (Table S1, Supplementary Materials) [17,18,19,20,21,23,24,25,26,27,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48].
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Molecules 25 02647 g004 550
Figure 4. Structures of the [Cu(NN)(PP)]+ cations reported in reference [26] and used in case study 1.
Figure 4. Structures of the [Cu(NN)(PP)]+ cations reported in reference [26] and used in case study 1.
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Molecules 25 02647 g005 550
Figure 5. Scatter plots of PLQY, %Vbur(NN), %Vbur(PP) and %Vbur(NN + PP) for compounds 2a/b–7a/b [26]. (a) Scatter plot of PLQY vs. %Vbur(NN). (b) Scatter plot of PLQY vs. %Vbur(PP). (c) Scatter plot of PLQY vs. %Vbur(NN + PP). (d) Scatter plot of %Vbur(NN) vs. %Vbur(NN + PP). (e) Scatter plot of %Vbur(PP) vs. %Vbur(NN + PP). (f) Scatter plot of %Vbur(NN) vs. %Vbur(PP).
Figure 5. Scatter plots of PLQY, %Vbur(NN), %Vbur(PP) and %Vbur(NN + PP) for compounds 2a/b–7a/b [26]. (a) Scatter plot of PLQY vs. %Vbur(NN). (b) Scatter plot of PLQY vs. %Vbur(PP). (c) Scatter plot of PLQY vs. %Vbur(NN + PP). (d) Scatter plot of %Vbur(NN) vs. %Vbur(NN + PP). (e) Scatter plot of %Vbur(PP) vs. %Vbur(NN + PP). (f) Scatter plot of %Vbur(NN) vs. %Vbur(PP).
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Molecules 25 02647 g006 550
Figure 6. 3-Dimensional scatter plot with color-coded %Vbur(NN) for compounds 2a/b–7a/b [26].
Figure 6. 3-Dimensional scatter plot with color-coded %Vbur(NN) for compounds 2a/b–7a/b [26].
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Molecules 25 02647 g007 550
Figure 7. Structures of complexes 8–12 studied by Tsubomura and co-workers in 2015 [31].
Figure 7. Structures of complexes 8–12 studied by Tsubomura and co-workers in 2015 [31].
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Molecules 25 02647 g008 550
Figure 8. Scatter plots of PLQY, %Vbur(NN), %Vbur(PP) and %Vbur(NN + PP) for compounds 8–12 [31]. (a) Scatter plot of PLQY vs. %Vbur(NN). (b) Scatter plot of PLQY vs. %Vbur(PP). (c) Scatter plot of PLQY vs. %Vbur(NN + PP). (d) Scatter plot of %Vbur(NN) vs. %Vbur(NN + PP). (e) Scatter plot of %Vbur(PP) vs. %Vbur(NN + PP). (f) Scatter plot of %Vbur(NN) vs. %Vbur(PP).
Figure 8. Scatter plots of PLQY, %Vbur(NN), %Vbur(PP) and %Vbur(NN + PP) for compounds 8–12 [31]. (a) Scatter plot of PLQY vs. %Vbur(NN). (b) Scatter plot of PLQY vs. %Vbur(PP). (c) Scatter plot of PLQY vs. %Vbur(NN + PP). (d) Scatter plot of %Vbur(NN) vs. %Vbur(NN + PP). (e) Scatter plot of %Vbur(PP) vs. %Vbur(NN + PP). (f) Scatter plot of %Vbur(NN) vs. %Vbur(PP).
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Molecules 25 02647 g009 550
Figure 9. Structures of complexes 13–18 from reference [18].
Figure 9. Structures of complexes 13–18 from reference [18].
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Molecules 25 02647 g010 550
Figure 10. Scatter plots of PLQY, %Vbur(NN), %Vbur(PP) and %Vbur(NN + PP) for compounds 13–18 [18]. (a) Scatter plot of PLQY vs. %Vbur(NN). (b) Scatter plot of PLQY vs. %Vbur(PP). (c) Scatter plot of PLQY vs. %Vbur(NN + PP). (d) Scatter plot of %Vbur(NN) vs. %Vbur(NN + PP). (e) Scatter plot of %Vbur(PP) vs. %Vbur(NN + PP). (f) Scatter plot of %Vbur(NN) vs. %Vbur(PP).
Figure 10. Scatter plots of PLQY, %Vbur(NN), %Vbur(PP) and %Vbur(NN + PP) for compounds 13–18 [18]. (a) Scatter plot of PLQY vs. %Vbur(NN). (b) Scatter plot of PLQY vs. %Vbur(PP). (c) Scatter plot of PLQY vs. %Vbur(NN + PP). (d) Scatter plot of %Vbur(NN) vs. %Vbur(NN + PP). (e) Scatter plot of %Vbur(PP) vs. %Vbur(NN + PP). (f) Scatter plot of %Vbur(NN) vs. %Vbur(PP).
Molecules 25 02647 g010
Molecules 25 02647 g011 550
Figure 11. 3-Dimensional scatter plot with color-coded %Vbur(NN) for compounds 13–18 [18].
Figure 11. 3-Dimensional scatter plot with color-coded %Vbur(NN) for compounds 13–18 [18].
Molecules 25 02647 g011
Table
Table 1. Reported PLQY values for powder samples for Cu(I) complexes and %Vbur for (NN), (PP), and (NN)(PP) units. Data are from reference [26].
Table 1. Reported PLQY values for powder samples for Cu(I) complexes and %Vbur for (NN), (PP), and (NN)(PP) units. Data are from reference [26].
ComplexPLQY [%]%Vbur(NN)%Vbur(PP)%Vbur(NN + PP)
2a1936.656.391.8
2b1736.457.091.0
3a2236.756.492.2
3b936.357.291.2
4a1236.355.590.7
4b a535.4/35.955.1/57.789.1/90.6
5a2139.256.192.8
5b3038.056.390.7
6a3238.956.192.8
6b2238.556.591.8
7a3839.057.293.4
7b2037.855.790.7
a Two crystallographically independent cations are present in the asymmetric unit.
Table
Table 2. Reported PLQY values for powder samples for copper(I) complexes and %Vbur for (NN), (PP), and (NN)(PP) units. Data are from reference [31].
Table 2. Reported PLQY values for powder samples for copper(I) complexes and %Vbur for (NN), (PP), and (NN)(PP) units. Data are from reference [31].
ComplexPLQY [%]%Vbur(NN)%Vbur(PP)%Vbur(NN + PP)
80.5 (0.5) a34.248.882.3
97 (8) a34.455.688.0
100.5 (9) a41.055.092.5
113 (3) a34.355.587.7
12 b2 (2) a34.3/34.456.6/56.287.9/87.9
a Value in parenthesis is for sample under Ar atmosphere. b Two crystallographically independent cations are present in the asymmetric unit.
Table
Table 3. Reported PLQY values for powder samples for copper(I) complexes and %Vbur for (NN), (PP), and (NN)(PP) units. Data are from reference [18].
Table 3. Reported PLQY values for powder samples for copper(I) complexes and %Vbur for (NN), (PP), and (NN)(PP) units. Data are from reference [18].
ComplexPLQY [%]%Vbur(NN)%Vbur(PP)%Vbur(NN + PP)
133437.255.991.8
143737.255.892.0
153.739.257.394.2
163739.554.992.5
172436.755.790.4
185.239.155.491.2

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Alkan-Zambada, M.; Constable, E.C.; Housecroft, C.E. The Role of Percent Volume Buried in the Characterization of Copper(I) Complexes for Lighting Purposes. Molecules 2020, 25, 2647. https://doi.org/10.3390/molecules25112647

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Alkan-Zambada M, Constable EC, Housecroft CE. The Role of Percent Volume Buried in the Characterization of Copper(I) Complexes for Lighting Purposes. Molecules. 2020; 25(11):2647. https://doi.org/10.3390/molecules25112647

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Alkan-Zambada, Murat, Edwin C. Constable, and Catherine E. Housecroft. 2020. "The Role of Percent Volume Buried in the Characterization of Copper(I) Complexes for Lighting Purposes" Molecules 25, no. 11: 2647. https://doi.org/10.3390/molecules25112647

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