title: Ultrasensitive SERS detection of trinitrotoluene through capillarity-constructed reversible hot spots based on ZnO-Ag nanorod hybrids.
abstract: A simple and efficient self-approach strategy was used to apply ultrasensitivity and self-revive ZnO-Ag hybrid surface-enhanced Raman scattering (SERS) sensors for the highly sensitive and selective detection of explosive TNT in both solution and vapour conditions. The good ultrasensitive sensing performance is a result of the abundant Raman hot spots, which were spontaneously formed in a reversible way by the self-approaching of flexible ZnO-Ag hybrid nanorods driven by the capillary force of solvent evaporation. Moreover, the enhancement effect was repeatedly renewed by the reconstruction of molecular bridges, which could selectively detect TNT with a lower limit of 4 × 10(-14) M. In addition, TNT vapor was also tested under this sensor, whereby once the ZnO-Ag NRs hybrid substrate was dipped in TNT, this substrate could detect the existence of TNT even in 5 detection cycles via a capillarity-constructed reversible hot spots approach. Compared with other pure Ag-based SERS sensors, this ZnO-Ag hybrid SERS sensor could rapidly self-revive SERS-activity by simple UV light irradiation and could retain stable SERS sensitivity for one month when used for TNT detection. This stable and ultrasensitive SERS substrate demonstrates a new route to eliminate the oxidized inactive problem of traditional Ag-based SERS substrates and suggests promising use in the applications of such hybrids as real-time online sensors for explosives detection.
authors.affiliation: Institute of Chemical Materials, China Academy of Engineering Physics, Mianyang 621900, China. xuan.hellen@gmail.com jackzhang531@gmail.com.
authors.forename: Xuan
authors.initials: X
authors.lastname: He
authors.forename: Hui
authors.initials: H
authors.lastname: Wang
authors.forename: Zhongbo
authors.initials: Z
authors.lastname: Li
authors.forename: Dong
authors.initials: D
authors.lastname: Chen
authors.forename: Jiahui
authors.initials: J
authors.lastname: Liu
authors.forename: Qi
authors.initials: Q
authors.lastname: Zhang