|
|
Ultralow detection limit of giant magnetoresistance biosensor using Fe3O4-graphene composite nanoparticle label |
Jie Xu(徐洁)1,2, Ji-qing Jiao(焦吉庆)2, Qiang Li(李强)1, Shan-dong Li(李山东)1,3 |
1. College of Physics, Key Laboratory of Photonics Materials and Technology in Universities of Shandong, and Laboratory of Fiber Materials and Modern Textile, the Growing Base for State Key Laboratory, Qingdao University, Qingdao 266071, China; 2. School of Chemical Science and Engineering, Qingdao University, Qingdao 266071, China; 3. National Laboratory of Solid State Microstructures, Nanjing University, Nanjing 210093, China |
|
|
Abstract A special Fe3O4 nanoparticles-graphene (Fe3O4-GN) composite as a magnetic label was employed for biodetection using giant magnetoresistance (GMR) sensors with a Wheatstone bridge. The Fe3O4-GN composite exhibits a strong ferromagnetic behavior with the saturation magnetization MS of approximately 48 emu/g, coercivity HC of 200 Oe, and remanence Mr of 8.3 emu/g, leading to a large magnetic fringing field. However, the Fe3O4 nanoparticles do not aggregate together, which can be attributed to the pinning and separating effects of graphene sheet to the magnetic particles. The Fe3O4-GN composite is especially suitable for biodetection as a promising magnetic label since it combines two advantages of large fringing field and no aggregation. As a result, the concentration x dependence of voltage difference |ΔV| between detecting and reference sensors undergoes the relationship of |ΔV|=240.5lgx+515.2 with an ultralow detection limit of 10 ng/mL (very close to the calculated limit of 7 ng/mL) and a wide detection range of 4 orders.
|
Received: 14 May 2016
Revised: 13 September 2016
Accepted manuscript online:
|
PACS:
|
07.07.Df
|
(Sensors (chemical, optical, electrical, movement, gas, etc.); remote sensing)
|
|
87.63.-d
|
(Non-ionizing radiation equipment and techniques)
|
|
81.07.-b
|
(Nanoscale materials and structures: fabrication and characterization)
|
|
81.05.-t
|
(Specific materials: fabrication, treatment, testing, and analysis)
|
|
Fund: Project supported by the National Natural Science Foundation of China (Grant Nos. 11074040, 11504192, 11674187, 11604172, and 51403114), the Natural Science Foundation of Shandong Province, China (Grant Nos. ZR2012FZ006 and BS2014CL010), and the China Postdoctoral Science Foundation (Grant Nos. 2014M551868 and 2015M570570). |
Corresponding Authors:
Shan-dong Li
E-mail: lishd@qdu.edu.cn
|
Cite this article:
Jie Xu(徐洁), Ji-qing Jiao(焦吉庆), Qiang Li(李强), Shan-dong Li(李山东) Ultralow detection limit of giant magnetoresistance biosensor using Fe3O4-graphene composite nanoparticle label 2017 Chin. Phys. B 26 010701
|
[1] |
Baselt D R, Lee G U, Natesan M, Metzger S W, Sheehan P E and Colton R J 1998 Biosens. Bioelectron. 13 731
|
[2] |
Enpuku K, Minotani T, Gima T, Kuroki Y, Itoh Y, Yamashita M, Katakura Y and Kuhara S 1999 J. Appl. Phys. 38 L1102
|
[3] |
Lee S, Myers W R, Grossman H L, Cho H M, Chemla Y R and Clarke J 2002 Appl. Phys. Lett. 81 3094
|
[4] |
Besse P A, Boero G, Demierre M, Pott V and Popovic R 2002 Appl. Phys. Lett. 80 4199
|
[5] |
Ejsing L, Hansen M F, Menon A K, Ferreira H A, Graham D L and Freitas P P 2004 Appl. Phys. Lett. 84 4729
|
[6] |
Miller M M, Prinz G A, Cheng S F and Bounnak S 2002 Appl. Phys. Lett. 81 2211
|
[7] |
Graham D L, Ferreira H A, Freitas P P and Cabral J M S 2003 Biosens. Bioelectron. 18 483
|
[8] |
Schotter J, Kamp P B, Becker A, Puhler A, Reiss G and Bruckl H 2004 Biosens. Bioelectron. 19 1149
|
[9] |
Wang S X and Li G 2008 IEEE Trans. Magn. 44 1687
|
[10] |
Li Y, Srinivasan B, Jing Y, Yao X, Hugger M A, Wang J P and Xing C 2010 J. Am. Chem. Soc. 132 4388
|
[11] |
Manteca A, Mujika M and Arana S 2011 Biosens. Bioelectron. 26 3705
|
[12] |
Li L, Mak K Y, Leung C W, Ng S M, Lei Z Q and Pong P W T 2013 IEEE Trans. Magn. 49 4056
|
[13] |
Wang W, Wang Y, Tu L, Feng Y, Klein T and Wang J P 2014 Sci. Rep. 4 5716
|
[14] |
Lee C P, Lai M F, Huang H T, Lin C W and Wei Z H 2014 Biosen. Bioelectron. 57 48
|
[15] |
Kokkinis G, Jamalieh M, Cardoso F, Cardoso S, Keplinger F and Giouroudi I 2015 J. Appl. Phys. 117 17B731
|
[16] |
Park J 2015 J. Magn. Magn. Mater. 389 56
|
[17] |
Martins V C, Germano J, Cardoso F A, Loureiro J, Cardoso S, Soura L, Piedade M, Fonseca L P and Freitas P P 2015 J. Magn. Magn. Mater. 322 1655
|
[18] |
Sun X, Ho D, Lacroix L M, Xiao J Q and Sun S 2012 IEEE Trans. Nanobiosci. 11 1536
|
[19] |
Cai P, Chen H and Xie J 2014 Chin. Phys. B 23 117504
|
[20] |
Sun S N, Wei C, Zhu Z Z, Hou Y L, Subbu S V and Xu Z C 2014 Chin. Phys. B 23 037503
|
[21] |
Yasir R M, Pan L, Javed Q, Zubair I M, Qiu H, Hassan F M, Guo Z and Tanceer M 2013 Chin. Phys. B 22 107101
|
[22] |
Sun S H and Zeng H 2002 J. Am. Chem. Soc. 124 8204
|
[23] |
Yao Y, Miao S, Liu S, Ma L P, Sun H and Wang S 2012 Chem. Eng. J. 184 326
|
[24] |
Xu J, Li Q, Gao X Y, Leng F F, Lü M M, Guo P Z, Zhao G X and Li S D 2016 IEEE Trans. Magn. 52 5200204
|
[25] |
Tural B, Özkan N and Volkan M 2009 J. Phys. Chem. Sol. 70 860
|
[26] |
Gee S H, Hong Y K, Erickson D W, Park M H and Sur J C 2003 J. Appl. Phys. 93 7560
|
[27] |
Shen X, Ho C M and Wong T S 2010 J. Phys. Chem. B 114 5269
|
[28] |
Li F and Kosel J 2014 Biosens. Bioelectron. 59 145
|
No Suggested Reading articles found! |
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
Altmetric
|
blogs
Facebook pages
Wikipedia page
Google+ users
|
Online attention
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.
View more on Altmetrics
|
|
|