Chitosan blend iron oxide nanostructure-based biosensor for healthy & malignant tissue glucose/urea detection
文献类型:会议论文
作者 | Akram, M. W.; Alam, M. F.; Ji, H. N.; Mahmood, A.; Munir, Tariq; Iqbal, M. Z.; Saleem, M. R.; Amin, N.; Wu, A. G. |
出版日期 | 2019 |
会议日期 | NOV 01-04, 2018 |
关键词 | MAGNETIC-PROPERTIES NANOPARTICLES GD |
卷号 | 474 |
DOI | 10.1088/1757-899X/474/1/012060 |
英文摘要 | A urease trapped chitosan-Fe3O4 based nano-composite biosensor of controlled morphology is successfully fabricated by applying the aqueous chemical growth technique. Final product of nanodevice was characterized by applying various techniques. Log of the concentration of various solutions (1 to 80 mM) ranged between 0.0 to 2.5 mM for urea and glucose sample and an output signal of similar to 42 mV per decade was detected at room temperature. It disclosed the presence of chitosan composite with Fe3O4 results enhanced active surface area of sensing along with up to the mark precession, as compared to traditional biosensor for immobilization of enzymes. The current developed form of chitosan-Fe3O4 nano-composite biosensor illustrated a significant stable potentiometric response in the minimal time period. Besides, nafion/polypyrrole addition to the top surface of CH-Fe3O4 nanocomposite not only protected it from degradation but also upgraded the characteristic of sensor regarding rapid electron transfer enhancement and higher shelf life of this hybrid form of nanomaterial. The advanced form of this voltammetry implied that Ur-GLDH/CH-Fe3O4 bioelectrode is found to be very sensitive in the range of 4-120 mg/dl urea/glucose concentration and can detect as low amount as 0.4mg/dl. |
会议录出版者 | IOP Conference Series-Materials Science and Engineering |
学科主题 | Engineering ; Materials Science |
ISSN号 | 1757-8981 |
源URL | [http://ir.nimte.ac.cn/handle/174433/23339] ![]() |
专题 | 会议专题 会议专题_会议论文 |
推荐引用方式 GB/T 7714 | Akram, M. W.,Alam, M. F.,Ji, H. N.,et al. Chitosan blend iron oxide nanostructure-based biosensor for healthy & malignant tissue glucose/urea detection[C]. 见:. NOV 01-04, 2018. |
入库方式: OAI收割
来源:宁波材料技术与工程研究所
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