Hubei Key Laboratory of Novel Reactor and Green Chemical Technology, School of Chemical Engineering and Pharmacy, Wuhan Institute of Technology, Wuhan 430072, China.
Key Laboratory of Novel Biomass-Based Environmental and Energy Materials in Petroleum and Chemical Industry, Key Laboratory for Green Chemical Process of Ministry of Education, Wuhan Institute of Technology, Wuhan 430072, China.
Int J Mol Sci. 2022 Aug 17;23(16):9213. doi: 10.3390/ijms23169213.
Carbon dots (CDs) show great potential in bioimaging and biosensing because of their good biocompatibility and excellent optical properties. However, CDs with intense red emissions for sensitive and selective detection are rarely reported. Herein, we prepared the red-emissive carbon dots (RCDs) through a facile hydrothermal method using tetra (4-carboxyphenyl) porphyrin (TCPP) and thiourea as starting materials. The obtained RCDs were characterized by TEM, XRD, and XPS. RCDs exhibited high water solubility and strong red emission (λ = 650 nm), with the fluorescence quantum yield as high as 26.7%, which was greatly higher than that of TCPP. Moreover, the as-prepared RCDs could be acted as a highly selective and sensitive probe for the detection of Hg and glutathione (GSH) through the fluorometric titration method. The detection limits of Hg and GSH were calculated to be 1.73 and 1.6 nM, respectively. The cellular experiments demonstrated the good biocompatibility of RCDs and their feasibility in bioimaging. Thus, this work provided a simple strategy to design and synthesize the highly red-emissive carbon dots, which showed promising application in biological and environmental assays.
碳点 (CDs) 由于其良好的生物相容性和优异的光学性质,在生物成像和生物传感中具有很大的应用潜力。然而,具有强红色发射的 CDs 用于灵敏和选择性检测的报道却很少。在此,我们通过简便的水热法以四 (4-羧基苯基) 卟啉 (TCPP) 和硫脲为起始原料制备了红色发射的碳点 (RCDs)。所得 RCDs 通过 TEM、XRD 和 XPS 进行了表征。RCDs 表现出高水溶性和强红色发射 (λ = 650nm),荧光量子产率高达 26.7%,远高于 TCPP。此外,所制备的 RCDs 可以通过荧光滴定法作为检测 Hg 和谷胱甘肽 (GSH) 的高度选择性和灵敏探针。Hg 和 GSH 的检测限分别计算为 1.73 和 1.6 nM。细胞实验证明了 RCDs 的良好生物相容性及其在生物成像中的可行性。因此,这项工作提供了一种简单的策略来设计和合成高红色发射的碳点,这在生物和环境分析中具有广阔的应用前景。