乙腈
石墨烯
猝灭(荧光)
水溶液中的金属离子
光化学
纳米颗粒
溶剂
材料科学
化学
无机化学
作者
Ahmed Shahin,Khaled H. Ibrahim,Fan Ye,Reza Karimi,Joseph Sanderson,Kevin P. Musselman
标识
DOI:10.1016/j.snb.2022.131576
摘要
A femtosecond laser is used to break and exfoliate two dimensional (2D) flakes of nitrogen-doped graphene oxide (NGO) or molybdenum disulfide (MoS 2 ) dispersed in acetonitrile or a 1:1 ethanol-water mixture and convert them into nanoparticles (NPs) in 70–100 min. The chemically active NPs bond with atoms from the laser-dissociated acetonitrile or ethanol and water molecules to form 2D NPs functionalized with varying quantities of nitrogen, oxygen, hydrogen, and carbon groups. Sensitive and selective detection of heavy metal ions (HMI) Hg 2+ , As 3+ , Pb 2+ , and Cd 2+ is demonstrated with the solvent-functionalized NGO and MoS 2 NPs. Binding between the HMI and functional groups leads to quenching of the NPs’ photoluminescence. Limits of detection of 3 n m (Hg 2+ ), 3.8 n m (As 3+ ), 1.8 n m (Pb 2+ ), and 13 n m (Cd 2+ ) are demonstrated with the solvent-functionalized NGO in acetonitrile, NGO in acetonitrile, MoS 2 in acetonitrile, and NGO in ethanol-water, respectively. The selectivity is attributed to varying bond polarities associated with the different combinations of NPs and functional groups, which electrostatically attract HMI with different affinities. The functional groups responsible for the selective sensing in the different NP solutions are identified using Fourier transform infrared spectroscopy. This rapid, one-pot, room-temperature process can be used to tailor 2D materials for targeted chemical sensing. • A femtosecond laser is used to synthesize and functionalize nanoparticles of MoS 2 and nitrogen-doped graphene oxide. • The laser treatment is a one-pot, room-temperature process that takes only 70 mins. • Sensitive and selective detection of Hg 2+ , As 3+ , Pb 2+ , and Cd 2+ ions based on fluorescence quenching is demonstrated. • Limits of detection are < 15 nanomolars for all ions. • Specific functional groups responsible for the selectivity are identified.
科研通智能强力驱动
Strongly Powered by AbleSci AI