Ma By Liyi, Zhai Xuejiao, Du Gaiping, Zhou Jing
Department of Chemistry , Capital Normal University , Beijing 100048 , People's Republic of China.
Key Laboratory of Photochemical Conversion and Optoelectronic Materials , Technical Institute of Physics and Chemistry , Chinese Academy of Sciences , Beijing 100190 , People's Republic of China.
Chem Sci. 2019 Jan 24;10(11):3281-3288. doi: 10.1039/c8sc05044a. eCollection 2019 Mar 21.
Shortwave infrared (SWIR) photoluminescence has received intense interest in many fields in recent years thanks to the advantages of its wide wavelength range and high tissue imaging ability and it is invisible to the naked eye. However, achieving orthogonal SWIR emission still remains a challenge. In the present study, synthesized NaErF@NaLuF (Er@Lu) and NaYF:Nd@NaLuF (Y:Nd@Lu) nanoparticles emitted atom-like SWIR emission, and the separation distance between the SWIR emission was beyond 50 nm, which permitted orthogonal SWIR signal acquirement with optical filters. Furthermore, an invisible logical code was designed by manipulating the orthogonal SWIR emission of the lanthanide fluoride nanoparticles, and was further operated by basic logical operations and applied in information encryption and anti-counterfeit fields. In addition, the emission between these two hydrophilic nanoparticles could also be separated without signal interference and the orthogonal SWIR imaging mode was achieved, which was demonstrated in a bio-imaging experiment . This demonstration extended the orthogonal SWIR emission capacity by controlling the orthogonal emission, opening new opportunities in the fields of data security, disease diagnosis and non-interference label .
近年来,短波红外(SWIR)光致发光因其波长范围宽、组织成像能力强且肉眼不可见等优点,在许多领域受到了广泛关注。然而,实现正交SWIR发射仍然是一个挑战。在本研究中,合成的NaErF@NaLuF(Er@Lu)和NaYF:Nd@NaLuF(Y:Nd@Lu)纳米颗粒发出类原子的SWIR发射,且SWIR发射之间的分离距离超过50 nm,这使得使用光学滤波器能够获取正交SWIR信号。此外,通过操纵镧系氟化物纳米颗粒的正交SWIR发射设计了一种不可见逻辑编码,并通过基本逻辑运算进一步操作,应用于信息加密和防伪领域。此外,这两种亲水性纳米颗粒之间的发射也可以在无信号干扰的情况下分离,实现了正交SWIR成像模式,这在生物成像实验中得到了证明。这一展示通过控制正交发射扩展了正交SWIR发射能力,为数据安全、疾病诊断和无干扰标记等领域开辟了新机遇。