铜
材料科学
纳米技术
碳纳米管
手性(物理)
碳纤维
离子
DNA
化学
冶金
物理
复合数
复合材料
量子力学
有机化学
生物化学
手征对称破缺
Nambu–Jona Lasinio模型
夸克
作者
Jianying Chen,Yinong Li,Jiajie Wu,Jialong Liu,Xuan Zhou,Zelong Li,Kunpeng Tang,Lei Shi,Zhilong Zhang,Zhiwei Lin
出处
期刊:ACS Nano
[American Chemical Society]
日期:2025-08-01
卷期号:19 (31): 28743-28754
标识
DOI:10.1021/acsnano.5c08364
摘要
Copper is an essential trace metal in living organisms, but excessive copper intake poses significant risks to plants, animals, and human health throughout the food chain. Developing a sensitive, nondestructive, and real-time technique to assess copper uptake in plants is highly desirable, yet it remains a challenging task. Here, we demonstrate that purified single-chirality carbon nanotubes (scCNTs) wrapped with a periodically ordered DNA structure provide an unparalleled platform for copper detection. By screening five distinct purified DNA-scCNT species, we identified C3GC6GC4-(7,5) as the most promising candidate. It demonstrated ultrasensitive and highly selective detection of Cu2+ ions, with a limit of detection of 1.20 pM, and showed no interference from 13 competing ions. This system functions by efficiently adsorbing Cu2+ ions onto the surface of the (7,5) nanotubes through an ordered DNA wrapping structure. The electron transfer from (7,5) to Cu2+ significantly quenches the nanotube fluorescence. Femtosecond transient absorption (fs-TA) measurements revealed that the electron transfer occurs on a femtosecond time scale. C3GC6GC4-(7,5) was successfully applied as a nanosensor for real-time, rapid, and quantitative detection of Cu2+ uptake in living plants. Our findings highlight the superiority of purified DNA-scCNT sensors, establishing a paradigm for next-generation nanosensors.
科研通智能强力驱动
Strongly Powered by AbleSci AI