title: Tunnelling current recognition through core-satellite gold nanoparticles for ultrasensitive detection of copper ions.
abstract: We report a new method for ultrasensitive detection of Cu(2+), which is based on changes in the tunnelling recognition current across self-assembled core-satellite gold nanoparticles (GNPs) networks functionalised with amino acids (l-cysteine). The addition of copper ions induces the formation of GNP/l-cysteine/Cu(2+)/l-cysteine/GNP molecular junctions and generates a significant decrease in the resistance through the networks. The networks are ultrasensitive to over ten orders range of copper ion concentrations.
authors.affiliation: School of Life and Environmental Sciences, Deakin University, Victoria-3217, Australia. wenrong.yang@deakin.edu.au.
authors.forename: Alireza
authors.initials: A
authors.lastname: Foroushani
authors.forename: Yuanchao
authors.initials: Y
authors.lastname: Zhang
authors.forename: Da
authors.initials: D
authors.lastname: Li
authors.forename: Motilal
authors.initials: M
authors.lastname: Mathesh
authors.forename: Hongbin
authors.initials: H
authors.lastname: Wang
authors.forename: Fuhua
authors.initials: F
authors.lastname: Yan
authors.forename: Colin J
authors.initials: CJ
authors.lastname: Barrow
authors.forename: Jin
authors.initials: J
authors.lastname: He
authors.forename: Wenrong
authors.initials: W
authors.lastname: Yang
mesh_terms: D003300:Copper / Q000032:analysis* / Q000737:chemistry*; D003545:Cysteine / Q000737:chemistry; D006046:Gold / Q000737:chemistry*; D006860:Hydrogen Bonding; D057230:Limit of Detection; D053768:Metal Nanoparticles / Q000737:chemistry*
chemical_list: D006046:Gold; D003300:Copper; D003545:Cysteine