Suppr超能文献

具有高效分子内 PET 和 ICT 过程的萘酰亚胺荧光团:在分子逻辑中的应用。

A naphthalimide fluorophore with efficient intramolecular PET and ICT processes: application in molecular logic.

机构信息

Key laboratory of colloid and interface chemistry, Ministry of Education, Department of Chemistry, Shandong University, Jinan, China 250100.

出版信息

Org Biomol Chem. 2011 Aug 7;9(15):5436-44. doi: 10.1039/c1ob05481c. Epub 2011 Jun 10.

Abstract

A novel 4-amino-1,8-naphthalimide (NDI) with two different metal cation receptors connected at 4-amino or imide nitrogen positions respectively was designed and prepared. Significant internal charge transfer (ICT) as well as photoinduced electron transfer (PET) from the receptors to NDI is revealed by the shifted UV-vis absorption spectra and significant fluorescence quenching. Both Zn(2+) and Cu(2+) can coordinate selectively with the two cation receptors in this molecule with different affinities. The coordination of Zn(2+) with the receptor at imide nitrogen hindered the PET process and accordingly restored the quenched fluorescence of NDI. But the coordination of Zn(2+) at 4-amino position blocked the ICT process and caused significant blue-shift on the absorption peak with the fluorescence intensity unaffected. Similarly, coordination of Cu(2+) with the receptor at imide nitrogen can block the PET process, but can not restore the quenched fluorescence of compound 3 due to the paramagnetic properties of Cu(2+), which quench the fluorescence significantly instead. With Cu(2+) and Zn(2+) as two chemical inputs and absorption or fluorescence as output, several logic gate operations, such as OR, NOR and INHIBIT, can be achieved.

摘要

设计并合成了一种新型的 4-氨基-1,8-萘二甲酰亚胺(NDI),两个不同的金属阳离子受体分别连接在 4-氨基或酰亚胺氮位置上。通过紫外可见吸收光谱的位移和荧光猝灭,可以明显观察到受体到 NDI 的内部电荷转移(ICT)和光诱导电子转移(PET)。Zn(2+)和 Cu(2+)可以选择性地与该分子中两个阳离子受体在不同亲和力下配位。与酰亚胺氮上的受体配位的 Zn(2+)阻碍了 PET 过程,从而恢复了 NDI 的猝灭荧光。但是,Zn(2+)在 4-氨基位置的配位阻止了 ICT 过程,并导致吸收峰显著蓝移,而荧光强度不受影响。同样,与酰亚胺氮上的受体配位的 Cu(2+)可以阻止 PET 过程,但由于 Cu(2+)的顺磁性,不能恢复化合物 3 的猝灭荧光,反而会显著猝灭荧光。利用 Cu(2+)和 Zn(2+)作为两个化学输入,以及吸收或荧光作为输出,可以实现几种逻辑门操作,如或、非或和抑制。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验