Literature DB >> 25460902

A sensitive and selective magnetic graphene composite-modified polycrystalline-silicon nanowire field-effect transistor for bladder cancer diagnosis.

Hsiao-Chien Chen1, Yi-Ting Chen2, Rung-Ywan Tsai3, Min-Cheng Chen4, Shi-Liang Chen5, Min-Cong Xiao5, Chien-Lun Chen6, Mu-Yi Hua7.   

Abstract

In this study, we describe the urinary quantification of apolipoprotein A II protein (APOA2 protein), a biomarker for the diagnosis of bladder cancer, using an n-type polycrystalline silicon nanowire field-effect transistor (poly-SiNW-FET). The modification of poly-SiNW-FET by magnetic graphene with long-chain acid groups (MGLA) synthesized via Friedel-Crafts acylation was compared with that obtained using short-chain acid groups (MGSA). Compared with MGSA, the MGLA showed a higher immobilization degree and bioactivity to the anti-APOA2 antibody (Ab) due to its lower steric hindrance. In addition, the magnetic properties enabled rapid separation and purification during Ab immobilization, ultimately preserving its bioactivity. The Ab-MGLA/poly-SiNW-FET exhibited a linear dependence of relative response to the logarithmical concentration in a range between 19.5pgmL(-1) and 1.95µgmL(-1), with a limit of detection (LOD) of 6.7pgmL(-1). An additional washing step before measurement aimed at excluding the interfering biocomponents ensured the reliability of the assay. We conclude that our biosensor efficiently distinguishes mean values of urinary APOA2 protein concentrations between patients with bladder cancer (29-344ngmL(-1)) and those with hernia (0.425-9.47ngmL(-1)).
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Apolipoprotein A II protein; Biosensor; Bladder cancer; FET; Graphene

Mesh:

Substances:

Year:  2014        PMID: 25460902     DOI: 10.1016/j.bios.2014.11.019

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


  10 in total

1.  Preparation of Silicon Nanowire Field-effect Transistor for Chemical and Biosensing Applications.

Authors:  Jennifer Yun-Shin Wu; Chih-Heng Lin; Mei-Huei Feng; Chien-Hung Chen; Ping-Chia Su; Po-Wen Yang; Jian-Ming Zheng; Chang-Wei Fu; Yuh-Shyong Yang
Journal:  J Vis Exp       Date:  2016-04-21       Impact factor: 1.355

Review 2.  A review on nanomaterial-based field effect transistor technology for biomarker detection.

Authors:  Leila Syedmoradi; Anita Ahmadi; Michael L Norton; Kobra Omidfar
Journal:  Mikrochim Acta       Date:  2019-11-01       Impact factor: 5.833

Review 3.  Current Researches on Nanodrug Delivery Systems in Bladder Cancer Intravesical Chemotherapy.

Authors:  Yilei Lu; Siqi Wang; Yuhang Wang; Mingshan Li; Yili Liu; Dongwei Xue
Journal:  Front Oncol       Date:  2022-05-24       Impact factor: 5.738

Review 4.  Properties and Applications of Graphene and Its Derivatives in Biosensors for Cancer Detection: A Comprehensive Review.

Authors:  Mehrab Pourmadadi; Homayoon Soleimani Dinani; Fatemeh Saeidi Tabar; Kajal Khassi; Sajjad Janfaza; Nishat Tasnim; Mina Hoorfar
Journal:  Biosensors (Basel)       Date:  2022-04-24

Review 5.  Iron-Based Nanomaterials/Graphene Composites for Advanced Electrochemical Sensors.

Authors:  Kaveh Movlaee; Mohmmad Reza Ganjali; Parviz Norouzi; Giovanni Neri
Journal:  Nanomaterials (Basel)       Date:  2017-11-23       Impact factor: 5.076

Review 6.  Carbon Nanomaterial Based Biosensors for Non-Invasive Detection of Cancer and Disease Biomarkers for Clinical Diagnosis.

Authors:  Tibor Pasinszki; Melinda Krebsz; Thanh Tran Tung; Dusan Losic
Journal:  Sensors (Basel)       Date:  2017-08-20       Impact factor: 3.576

Review 7.  Functional Magnetic Graphene Composites for Biosensing.

Authors:  Fan Li; Yan Huang; Kai Huang; Jing Lin; Peng Huang
Journal:  Int J Mol Sci       Date:  2020-01-08       Impact factor: 5.923

8.  Real-time ultra-sensitive detection of SARS-CoV-2 by quasi-freestanding epitaxial graphene-based biosensor.

Authors:  Soaram Kim; Heeju Ryu; Sheldon Tai; Michael Pedowitz; John Robertson Rzasa; Daniel J Pennachio; Jenifer R Hajzus; Donald K Milton; Rachael Myers-Ward; Kevin M Daniels
Journal:  Biosens Bioelectron       Date:  2021-11-17       Impact factor: 10.618

9.  Bioinformatics profiling identifies seven immune-related risk signatures for hepatocellular carcinoma.

Authors:  Feng Xue; Lixue Yang; Binghua Dai; Hui Xue; Lei Zhang; Ruiliang Ge; Yanfu Sun
Journal:  PeerJ       Date:  2020-05-26       Impact factor: 2.984

Review 10.  Use of Silicon Nanowire Sensors for Early Cancer Diagnosis.

Authors:  Yuri D Ivanov; Tatyana S Romanova; Kristina A Malsagova; Tatyana O Pleshakova; Alexander I Archakov
Journal:  Molecules       Date:  2021-06-18       Impact factor: 4.411

  10 in total

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