journal article·2020-12-09Open access

Two-Photon Absorbing AIEgens: Influence of Stereoconfiguration on Their Crystallinity and Spectroscopic Properties and Applications in Bioimaging

Jean Rouillon, Jan Blahut, Marion Jean, Muriel Albalat, Nicolas Vanthuyne, Anne Lesage, Lamiaa M. A. Ali, Kamel Hadj-Kaddour, Mélanie Onofre, Magali Gary-Bobo, Guillaume Micouin, Akos Banyasz, Tangui Le Bahers, Chantal Andraud, Cyrille Monnereau

ACS Applied Materials & Interfaces· Volume 12· Issue 49

Abstract

This paper aims at designing chromophores with efficient aggregation-induced emission (AIE) properties for two-photon fluorescence microscopy (2PFM), which is one of the best-suited types of microscopy for the imaging of living organisms or thick biological tissues. Tetraphenylethylene (TPE) derivatives are common building blocks in the design of chromophores with efficient AIE properties. Therefore, in this study, extended TPE AIEgens specifically optimized for two-photon absorption (2PA) are synthesized and the resulting (E/Z) isomers are separated using chromatography on chiral supports. Comparative characterization of the AIE properties is performed on the pure (Z) and (E) isomers and the mixture, allowing us, in combination with powder X-ray diffraction and solid-state NMR, to document a profound impact of crystallinity on solid-state fluorescence properties. In particular, we show that stereopure AIEgens form aggregates of superior crystallinity, which in turn exhibit a higher fluorescence quantum yield compared to diastereoisomers mixtures. Preparation of stereopure organic nanoparticles affords very bright fluorescent contrast agents, which are then used for cellular and intravital two-photon microscopy on human breast cancer cells and on zebrafish embryos.
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Research context

OpenAlex topics: Luminescence and Fluorescent Materials · Nonlinear Optical Materials Studies · Nanoplatforms for cancer theranostics

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Univ. Lyon, ENS Lyon, CNRS, Université Lyon 1, Laboratoire de Chimie, UMR 5182, 46 Allée d’Italie, 69364 Lyon, France

Univ. Lyon, ENS Lyon, Université Lyon 1, CNRS, High-Field NMR Center of Lyon, FRE 2034, F-69100 Villeurbanne, France

Aix-Marseille Univ, CNRS, Centrale Marseille, iSm2, 13397 Marseille, France

IBMM, Univ Montpellier, CNRS, ENSCM, 34093 Montpellier, France

Department of Biochemistry, Medical Research Institute, University of Alexandria, Alexandria, Egypt

Funding

Minist?re de l'Education Nationale, de l'Enseignement Superieur et de la Recherche

References (59)

Show source-provided references
1. 10.1021/cm300416y10.1021/cm300416y ↗
2. 10.1039/c3cc49313j10.1039/c3cc49313j ↗
3. 10.1002/adfm.20160645810.1002/adfm.201606458 ↗
4. 10.1016/j.chempr.2017.05.01010.1016/j.chempr.2017.05.010 ↗
5. 10.1021/acsami.7b1232010.1021/acsami.7b12320 ↗
6. 10.1002/anie.20200752510.1002/anie.202007525 ↗
7. 10.1039/b105159h10.1039/b105159h ↗
8. 10.1002/ange.20181446210.1002/ange.201814462 ↗
9. 10.1039/C8QM00062J10.1039/C8QM00062J ↗
10. 10.1021/ol036041s10.1021/ol036041s ↗
11. 10.1039/c3tc32052a10.1039/c3tc32052a ↗
12. 10.1039/C7SC04820C10.1039/C7SC04820C ↗
13. Monici M. · 2005 · 11 · 22710.1016/S1387-2656(05)11007-2 ↗
14. 10.1021/cm202836710.1021/cm2028367 ↗
15. 10.1002/anie.20080525710.1002/anie.200805257 ↗
16. 10.1021/ja994497s10.1021/ja994497s ↗
17. 10.1021/cm034375610.1021/cm0343756 ↗
18. 10.1002/adfm.20070064910.1002/adfm.200700649 ↗
19. 10.1016/j.dyepig.2015.04.00710.1016/j.dyepig.2015.04.007 ↗
20. 10.1002/adfm.20150001010.1002/adfm.201500010 ↗
21. 10.1021/jp980829o10.1021/jp980829o ↗
22. 10.1021/acs.chemmater.6b0274610.1021/acs.chemmater.6b02746 ↗
23. 10.1039/a805208e10.1039/a805208e ↗
24. 10.1021/ja053781i10.1021/ja053781i ↗
25. 10.1039/C4TC00145A10.1039/C4TC00145A ↗
26. 10.1021/ol005894710.1021/ol0058947 ↗
27. 10.1016/j.chroma.2020.46120210.1016/j.chroma.2020.461202 ↗
28. 10.1021/ac00279a05410.1021/ac00279a054 ↗
29. 10.1016/j.chroma.2013.07.09210.1016/j.chroma.2013.07.092 ↗
30. 10.3390/molecules2201003810.3390/molecules22010038 ↗
31. 10.1021/acs.chemrev.5b0031710.1021/acs.chemrev.5b00317 ↗
32. 10.1021/jo00040a02610.1021/jo00040a026 ↗
33. 10.1016/j.dyepig.2018.06.02310.1016/j.dyepig.2018.06.023 ↗
34. 10.1021/ja064521j10.1021/ja064521j ↗
35. 10.1021/acs.jpca.7b1266810.1021/acs.jpca.7b12668 ↗
36. 10.1119/1.1293710.1119/1.12937 ↗
37. 10.1021/acs.jpcc.7b0806010.1021/acs.jpcc.7b08060 ↗
38. 10.1021/ja026908210.1021/ja0269082 ↗
39. 10.1021/ja016416+10.1021/ja016416+ ↗
40. 10.1021/ja047604d10.1021/ja047604d ↗
41. 10.1002/cphc.20160017810.1002/cphc.201600178 ↗
42. 10.1039/c2py20057k10.1039/c2py20057k ↗
43. 10.1002/anie.20160024410.1002/anie.201600244 ↗
44. 10.1021/ja208883h10.1021/ja208883h ↗
45. 10.1039/C5CC02377G10.1039/C5CC02377G ↗
46. 10.1002/ijch.20140005810.1002/ijch.201400058 ↗
47. 10.1039/B613157C10.1039/B613157C ↗
48. SEM Images Were Recorded over a Year after Initial Preparation of the Samples.
49. 10.1039/C4CC02824D10.1039/C4CC02824D ↗
50. 10.1039/c3ra40734a10.1039/c3ra40734a ↗
51. 10.1039/b516057j10.1039/b516057j ↗
52. Martineau C. · 2014 · 82 · 1
53. 10.1007/s10895-005-0054-810.1007/s10895-005-0054-8 ↗
54. 10.1016/j.jmr.2017.08.00210.1016/j.jmr.2017.08.002 ↗
55. 10.1364/OE.24.00905310.1364/OE.24.009053 ↗
56. Frisch, M. J.; Trucks, G. W.; Schlegel, H. B.; Scuseria, G. E.; Robb, M. A.; Cheeseman, J. R.; G, S.; Barone, V.; Mennucci, B.; Petersson, G. A.; Nakatsuji, H.; M, C.; Li, X.; Hratchian, H. P.; Izmaylov, A. F.; Bloino, J.; Zheng, G.; Sonnenberg, J. L.; Hada, M.; Ehara, M.; Toyota, K.; Fukuda, R.; Hasegawa, J.; Ishida, M.; Nakajima, T.; Honda, Y.; Kitao, O.; Nakai, H.; Vreven, T.; Montgomery, J. A., Jr.; Peralta, J. E.; Ogliaro, F.; Bearpark, M.; Heyd, J. J.; Brothers, E.; Kudin, K. N.; Staroverov, N. V.; Kobayashi, R.; Normand, J.; Raghavachari, K.; Rendell, A.; Burant, J. C.; Iyengar, S. S.; Tomasi, J.; Cossi, M.; Rega, N.; Millam, N. J.; Klene, M.; Knox, J. E.; Cross, J. B.; Bakken, V.; Adamo, C.; Jaramillo, J.; Gomperts, R.; Stratmann, R. E.; Yazyev, O.; Austin, A. J.; Cammi, R.; Pomelli, C.; Ochterski, J. W.; Martin, R. L.; Morokuma, K.; Zakrzewski, G. V.; Voth, G. A.; Salvador, P.; Dannenberg, J. J.; Dapprich, S.; D, D. A.; Farkas, Ö.; Foresman, J. B.; Ortiz, J. V.; Cioslowski, J.; Fox, D. J. Gaussian 16, revision C01; Gaussian Inc.: Wallingford CT, 2016.
57. 10.1016/j.cplett.2004.06.01110.1016/j.cplett.2004.06.011 ↗
58. 10.1021/acs.jctc.6b0049810.1021/acs.jctc.6b00498 ↗
59. 10.1016/j.dyepig.2018.06.02310.1016/j.dyepig.2018.06.023 ↗