Modelling the response function of enzyme-based optical glucose-sensing capsules

Tohda, Koji; Yamamoto, Tatsuya; Gratzl, Miklós

doi:10.1080/10610278.2010.483734

Cited by 3 publications

(1 citation statement)

References 32 publications

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“…Glucose oxidase is highly specic for glucose and is commonly used in glucose sensors. 37 Enzyme activity will produce a local change in pH when catalyzing the oxidation of glucose, which is detectable by pH microparticle sensors in the same environment. Optimized concentrations of enzyme and pH sensors using a commercial instrument produced a sensor system to measure glucose over the physiological range of 3 to 10 mM with a measurement sensitivity of 0.8 mM, Fig.…”

Section: Optode Based Sensorsmentioning

confidence: 99%

Fluorescent sensors for the basic metabolic panel enable measurement with a smart phone device over the physiological range

Awqatty

Samaddar

Cash

et al. 2014

Analyst

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The advanced functionality of portable devices such as smart phones provides the necessary hardware to potentially perform complex diagnostic measurements in any setting. Recent research and development have utilized cameras and data acquisition properties of smart phones to create diagnostic approaches for a variety of diseases or pollutants. However, in concentration measurements, such as blood glucose, the performance of handheld diagnostic devices depends largely on the sensing mechanism. To expand measurements to multiple components, often necessary in medical tests, with a single diagnostic device, robust platform based sensors are needed. Here, we developed a suite of dual wavelength fluorescent sensors with response characteristics necessary to measure each component of a basic metabolic panel, a common clinical measurement. Furthermore, the response of these sensors could be measured with a simple optical setup to convert a smart phone into a fluorescence measurement instrument. This approach could be used as a mobile basic metabolic panel measurement system for point of care diagnostics.

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Section: Optode Based Sensorsmentioning

confidence: 99%