Suppr超能文献

用于检测铁(III)的具有纳摩尔灵敏度的光刻图案化聚3,4-乙撑二氧噻吩纳米线

Lithographically Patterned PEDOT Nanowires for the Detection of Iron(III) with Nanomolar Sensitivity.

作者信息

Kindra Lindsay R, Eggers Crystin J, Liu Andrew T, Mendoza Kelly, Mendoza Jennifer, Klein Myers Aviva R, Penner Reginald M

机构信息

Oxford Academy , 5172 Orange Avenue, Cypress, California 90630, United States.

Godinez Fundamental School , 3002 Centennial Road, Santa Ana, California 92704, United States.

出版信息

Anal Chem. 2015 Nov 17;87(22):11492-500. doi: 10.1021/acs.analchem.5b03255. Epub 2015 Nov 6.

Abstract

Arrays of nanowires of an electronically conductive polymeric affinity medium tailored to the detection of Fe(III) are prepared, and their properties for detecting Fe(III) are evaluated. This polymeric affinity medium consists of poly(3,4-ethylenedioxythiophene) (PEDOT) into which an iron chelator, deferoxamine (DFA), has been doped during the polymerization process. PEDOT-DFA nanowires are potentiostatically deposited from a solution containing both EDOT and DFA using lithographically patterned nanowire electrodeposition (LPNE). The through-nanowire electrical resistance of PEDOT-DFA nanowires is measured as a function of the Fe(III) concentration. In parallel with measurements on PEDOT-DFA nanowire arrays, the electrochemical impedance of PEDOT-DFA films is characterized as a function of the Fe(III) concentration and the frequency of the impedance measurement in order to better understand the mechanism of transduction. PEDOT-DFA nanowires detect Fe(III) from 10(-4) to 10(-8) M with a limit of detection of 300 pM (calculated) and 10 nM (measured).

摘要

制备了用于检测Fe(III)的导电聚合物亲和介质的纳米线阵列,并评估了它们检测Fe(III)的性能。这种聚合物亲和介质由聚(3,4-乙撑二氧噻吩)(PEDOT)组成,在聚合过程中已掺杂了铁螯合剂去铁胺(DFA)。使用光刻图案化纳米线电沉积(LPNE)从含有EDOT和DFA的溶液中恒电位沉积PEDOT-DFA纳米线。测量PEDOT-DFA纳米线的贯穿纳米线电阻作为Fe(III)浓度的函数。与对PEDOT-DFA纳米线阵列的测量同时进行,PEDOT-DFA膜的电化学阻抗被表征为Fe(III)浓度和阻抗测量频率的函数,以便更好地理解转导机制。PEDOT-DFA纳米线检测Fe(III)的浓度范围为10(-4)至10(-8) M,检测限为300 pM(计算值)和10 nM(测量值)。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验