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Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/15277

Title: Peptide aptamer-modified single walled carbon nanotube-basedtransistors for high-performance biosensors
Authors: Nguyen Thanh Tung
Phan Tue Trong
Truong Thi Ngoc Lien
Ohno, Yasuhide
Maehashi, Kenzo
Matsumoto, Kazuhiko
Nishigaki, Koichi
Biyani, Manish
Takamura, Yuzuru
Keywords: Single walled carbon nanotube field-effect transistor
peptide aptamer
early diagnosis
Issue Date: 2017-12-20
Publisher: Nature Publishing Group
Magazine name: Scientific Reports
Volume: 7
Start page: Article number: 17881
DOI: 10.1038/s41598-017-18169-1
Abstract: Biosensors employing single-walled carbon nanotube field-effect transistors (SWCNT FETs) offer ultimate sensitivity. However, besides the sensitivity, a high selectivity is critically important to distinguish the true signal from interference signals in a non-controlled environment. This work presents the first demonstration of the successful integration of a novel peptide aptamer with a liquid gatedSWCNT FET to achieve highly sensitive and specific detection of Cathepsin E (CatE), a useful prognostic biomarker for cancer diagnosis. Novel peptide aptamers that specifically recognize CatE are engineered by systemic in vitro evolution. The SWCNTs were firstly grown using the thermal chemical vapor deposition (CVD) method and then were employed as a channel to fabricate a SWCNT FET device.Next, the SWCNTs were functionalized by noncovalent immobilization of the peptide aptamer using1-pyrenebutanoic acid succinimidyl ester (PBASE) linker. The resulting FET sensors exhibited a high selectivity (no response to bovine serum albumin and cathepsin K) and label-free detection of CatE at unprecedentedly low concentrations in both phosphate-buffered saline (2.3 pM) and human serum (0.23 nM). Our results highlight the use of peptide aptamer-modified SWCNT FET sensors as a promisingplatform for near-patient testing and point-of-care testing applications.
Rights: Nguyen Thanh Tung, Phan Trong Tue, Truong Thi Ngoc Lien, Yasuhide Ohno, Kenzo Maehashi, Kazuhiko Matsumoto, Koichi Nishigaki, Manish Biyani, Yuzuru Takamura, Scientific Reports, 7, 2017, Article number: 17881. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. © The Author(s) 2017
URI: http://hdl.handle.net/10119/15277
Material Type: publisher
Appears in Collections:c10-1. 雑誌掲載論文 (Journal Articles)

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