Defect-engineered TiO2 nanotube photonic crystals for the fabrication of near-infrared photoelectrochemical sensor. Issue 25 (30th May 2017)

• Record Type: Journal Article
• Authors: Wu, Wenlong; Zhang, Zhonghai
• Is Part Of: Journal of materials chemistry. Volume 5:Issue 25(2017)
• Page Start: 4883
• Page End: 4889
• Publication Date: 2017-05-30
• Subjects: Materials -- Periodicals; Chemistry, Analytic -- Periodicals; Biomedical materials -- Research -- Periodicals; 543.0284
• DOI: 10.1039/c7tb01081h
• Languages: English
• ISSNs: 2050-750X

Abstract

Abstract : A prototype of near-infrared (NIR) light-responsive PEC analysis platform is first proposed with defect-engineered TiO2 nanotube photonic crystals as photoelectrode and dopamine as target molecule, which opens up a distinctive avenue for promoting NIR PEC analysis to become a versatile detection method. Abstract : The use of photoelectrochemical (PEC) sensors, with their outstanding advantages of remarkable sensitivity, inherent miniaturization, portability and easy integration, is becoming a promising analytical detection technique. The rational design of PEC materials and convenient establishment of PEC analysis platforms have given this technique tremendous popularity in both analytical and medical communities for biomolecule detection. However, most of the current efforts in the development of PEC analysis have been made with ultraviolet and visible light (UV-vis) as light source, which are detrimental to biomolecules because of their high energy. On the contrary, near-infrared (NIR) light is biocompatible and is available for in vivo detection. Herein, a prototype of NIR light-responsive PEC analysis platform is first proposed with defect-engineered TiO2 nanotube photonic crystals as photoelectrode and dopamine as target molecule. The coupled strategies of defect engineering for electronic structure modification and morphology design for photon manipulation open up a distinctive avenue to not only implement sensitive NIR PEC detection of dopamine but also have potential multi-target detection ability by integrating bio-recognition units, thus promoting NIR PEC analysis as a versatile analysis method.