• DocumentCode
    527133
  • Title

    An algal cell biosensor for the rapid detection of Cu2+

  • Author

    Xiao-hui, Liang ; Bing-lian, Wang ; Jian-guo, Shi ; Dong-liang, Hua ; Xue-mei, Li

  • Author_Institution
    Energy Res. Inst., Shandong Acad. of Sci., Jinan, China
  • Volume
    3
  • fYear
    2010
  • fDate
    17-18 July 2010
  • Firstpage
    510
  • Lastpage
    513
  • Abstract
    An algal membrane potential sensor based on extra-cellular technique and electrochemistry was constructed. Membrane potential (MP) and membrane resistance (MR) of algal cell were used for biological indicators of the biosensor. The results showed that MP and MR were significantly correlative with Cu2+ concentration. Qualitative detection of Cu2+ was realized in the experiment, and the detection limit was 1.0 μmol/l, and response time was of 5-20 min. There was a good linearity relationship between relative MP, relative MR and treatment time of Cu2+ solution. Within Cu2+ concentration and treatment time of this experiment, the sensor´s membrane electrical information-time effect curve was close to a straight line (R>0.99), which providing a basis of data models for the quantitative determination of Cu2+ concentration. The reproducibility and stability of the sensor were also estimated with satisfactory results.
  • Keywords
    biochemistry; bioelectric potentials; biological techniques; biomembrane transport; biosensors; cellular biophysics; copper; electrochemistry; microorganisms; Cu; Cu2+ concentration; algal cell biosensor; electrical information-time effect curve; electrochemistry; extra-cellular technique; membrane potential; membrane resistance; time 5 min to 20 min; Biomedical monitoring; Biosensors; Electric potential; Electrodes; Indexes; Monitoring; Sensitivity; Cu2+; Nitella flexilis; algal cell; biosensor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Environmental Science and Information Application Technology (ESIAT), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-7387-8
  • Type

    conf

  • DOI
    10.1109/ESIAT.2010.5568354
  • Filename
    5568354