Urease-based biosensor for mercuric ions determination

Volotovsky, Viatcheslav; Nam, Young Jung; Kim, Namsoo

doi:10.1016/s0925-4005(97)80340-1

Cited by 49 publications

(23 citation statements)

References 6 publications

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“…The relationship between biomarker concentration and sensor response was plotted in double-logarithmic scale to obtain a linear equation, as reported previously (Kuhlmeier et al, 2003;Volotovsky et al, 1997). For the linear response in panel B of Fig.…”

Section: Concentration-dependent Responses Of the Immunosensormentioning

confidence: 99%

Carp vitellogenin detection by an optical waveguide lightmode spectroscopy biosensor

Kim

Cho

et al. 2008

Biosensors and Bioelectronics

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Section: Concentration-dependent Responses Of the Immunosensormentioning

confidence: 99%

Carp vitellogenin detection by an optical waveguide lightmode spectroscopy biosensor

Kim

Cho

et al. 2008

Biosensors and Bioelectronics

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“…The IC 50 value calculated for this metal by these authors was 0.2 M (40 g l −1 ), while metals such as lead, cadmium or zinc produced the same effect at concentrations 500 fold higher. Volotovsky et al (1997) obtained lower sensitivity for these metals with urease immobilised in Nafion on the surface of an ion sensitive field effect transistor that recorded pH changes (300 g l −1 for Hg(II) and 317 g l −1 for Cu(II)). Preininger and Wolfbeis (1996) developed a disposable cuvette test with integrated sensor layers for the determination of metal ions.…”

Section: Urease Inhibition Studiesmentioning

confidence: 99%

Development of urease and glutamic dehydrogenase amperometric assay for heavy metals screening in polluted samples

Rodriguez

Bolbot

Tothill

2004

Biosensors and Bioelectronics

125

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“…They concluded that such technology could be applicable to metal contamination in foods. Volotovsky et al [166] showed that additions of NaI to their sample improved the selectivity of their urease-based mercury sensor by decreasing the effects of silver interference.…”

Section: Heavy Metal Analysismentioning

confidence: 99%

Sensors and Food Quality

Connell

Guilbault

2001

Sensors Update

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Production processes require quality control. The quality of food going to the consumer must always be assured. Traditionally this was performed by taking a sample and sending it to a remote laboratory. While this is successful for most samples, this was not always the case. Having remote laboratories means that there could be a significant lag-time between sampling and results. Some unstable samples may have changed or the source material could have been already used/processed by the time they are analyzed. Sensor-based systems, especially those incorporated within flow injection analyzers, can overcome this problem. As the systems can be small and inexpensive relative to other automated analyzers, they can easily be fitted onsite. With the sensors fitted within the production process, a nearly instant reading can be achieved. The advantages and disadvantages of physical, chemical, and biosensors and their applicability to food analysis are discussed. Particular attention is focused on the improvements made to the underlying technology used in biosensor construction.

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Urease-based biosensor for mercuric ions determination

Cited by 49 publications

References 6 publications

Carp vitellogenin detection by an optical waveguide lightmode spectroscopy biosensor

Carp vitellogenin detection by an optical waveguide lightmode spectroscopy biosensor

Development of urease and glutamic dehydrogenase amperometric assay for heavy metals screening in polluted samples

Sensors and Food Quality

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