| SENSORS AND ACTUATORS B-CHEMICAL | 卷:195 |
| Highly sensitive SPR response of Au/chitosan/graphene oxide nanostructured thin films toward Pb (II) ions | |
| Article | |
| Lokman, Nurul Fariha1  Bakar, Ahmad Ashrif A.2  Suja, Fatihah1  Abdullah, Huda2  Ab Rahman, Wan Baihaqi Wan2  Huang, Nay-Ming3  Yaacob, Mohd Hanif4  | |
| [1] Univ Kebangsaan Malaysia, Fac Engn & Built Environm, Dept Civil & Struct, Bangi 43600, Selangor, Malaysia | |
| [2] Univ Kebangsaan Malaysia, Fac Engn & Built Environm, Dept Elect Elect & Syst Engn, Bangi 43600, Selangor, Malaysia | |
| [3] Univ Malaya, Fac Sci, Dept Phsy, Low Dimens Mat Res Ctr, Kuala Lumpur 50603, Malaysia | |
| [4] Univ Putra Malaysia, Fac Engn, Wireless & Photon Network Res Ctr, Serdang 43400, Selangor, Malaysia | |
| 关键词: Surface plasmon resonance; Nanostructured thin film; Chitosan; Graphene oxide; Lead ion; | |
| DOI : 10.1016/j.snb.2014.01.074 | |
| 来源: Elsevier | |
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【 摘 要 】
Optical sensors based on surface plasmon resonance (SPR) are utilized for detecting toxic heavy metals in solutions. To improve the sensitivity of SPR sensors, nanostructured thin films with active layers can be synthesized. In this study, the response to Pb (II) was measured and compared for SPR sensors incorporating gold-chitosan-graphene oxide (Au/CS/GO) nanostructured thin films and Au/CS films. The characterization of Au/CS/GO using FESEM analysis revealed a film composed of nanosheets with wrinkled, rough surfaces. The results from XRD analysis confirmed the successful incorporation of GO in the prepared films. Additionally, AFM analysis determined that the Au/CSIGO films had a root mean square (rms) roughness of 28.38 nm and were considerably rougher than the Au/CS films. Upon exposure to a 5 ppm Pb (II) ion solution, the Au/CSIGO films exhibited higher SPR sensitivity, as much as 1.11200 ppm(-1), than Au/CS films, 0.77600 ppm(-1). This enhancement of the SPR response was attributed to strong covalent bonding between CS and GO in these films. These results indicated that the Au/CSIGO films show potential for the detection of heavy metal pollution in environmental applications. (C) 2014 Elsevier B.V. All rights reserved.
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|---|---|---|---|
| 10_1016_j_snb_2014_01_074.pdf | 2729KB |
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