Bidirectional photomagnetism, exciplex fluorescence and dielectric anomalies in a spin crossover Hofmann-type coordination polymer.
Yan-Ru ChenTing-Ting YingYan-Cong ChenPei-Yu LiaoZhao-Ping NiMing-Liang TongPublished in: Chemical science (2024)
Stepped spin crossover (SCO) complexes with three or more spin states have promising applications in high-order data storage, multi-switches and multi-sensors. Further synergy with other functionalities, such as luminescence and dielectric properties, will provide a good chance to develop novel multifunctional SCO materials. Here, a bent pillar ligand and luminescent pyrene guest are integrated into a three-dimensional (3D) Hofmann-type metal-organic framework (MOF) [Fe(dpoda){Au(CN) 2 } 2 ]·pyrene (dpoda = 2,5-di-(pyridyl)-1,3,4-oxadiazole). The magnetic data show an incomplete and two-step SCO behavior with the sequence of 1 ↔ 1/2 ↔ 1/4. The rare bi-directional light-induced excited spin-state trapping (LIESST) effect and light-induced stepped thermal relaxation after LIESST are observed. The pyrene guests interact with dpoda ligands via offset face-to-face π⋯π interactions to form intermolecular exciplex emissions. The competition between thermal quenching and stepped SCO properties results in a complicated and stepped exciplex fluorescence. Moreover, the stepped dielectric property with higher dielectric permittivity at lower temperature may be related to the more frustrated octahedral distortion parameters in the intermediate spin states. Hence, a 3D Hofmann-type MOF with bent pillar ligands and fluorescent guests illustrates an effective way for the development of multifunctional switching materials.
Keyphrases
- metal organic framework
- single molecule
- energy transfer
- room temperature
- study protocol
- density functional theory
- quantum dots
- living cells
- transition metal
- light emitting
- electronic health record
- randomized controlled trial
- open label
- big data
- drug delivery
- placebo controlled
- clinical trial
- mass spectrometry
- pseudomonas aeruginosa
- double blind
- staphylococcus aureus
- escherichia coli
- molecularly imprinted
- biofilm formation
- machine learning
- reduced graphene oxide
- risk assessment
- drug induced
- water soluble
- artificial intelligence
- data analysis