1996
DOI: 10.1002/1616-8984(199607)1:1<1::aid-seup1>3.0.co;2-6
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Opto-Chemical and Opto-Immuno Sensors

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Cited by 28 publications
(13 citation statements)
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“…An affinity biosensor consists of a transducer (electrochemical [1], piezoelectric [2], or optical [3]) and a biological recognition element which is able to interact with a selected analyte. Various optical methods have been exploited in biosensors including fluorescence spectroscopy [4], interferometry (reflectometric white light interferometry [5] and modal interferometry in optical waveguide structures [6]), spectroscopy of guided modes of optical waveguides (grating coupler [7] and resonant mirror [8]), and surface plasmon resonance (SPR) [9,10].…”
Section: Introductionmentioning
confidence: 49%
“…An affinity biosensor consists of a transducer (electrochemical [1], piezoelectric [2], or optical [3]) and a biological recognition element which is able to interact with a selected analyte. Various optical methods have been exploited in biosensors including fluorescence spectroscopy [4], interferometry (reflectometric white light interferometry [5] and modal interferometry in optical waveguide structures [6]), spectroscopy of guided modes of optical waveguides (grating coupler [7] and resonant mirror [8]), and surface plasmon resonance (SPR) [9,10].…”
Section: Introductionmentioning
confidence: 49%
“…This class of sensors is of major importance in biomedical analysis and they are quite flexible to miniaturization. In potentiometric sensors the potential change due to the accumulation of charge (electrons) on the working electrode is measured relative to a reference electrode when no current is flowing (Gauglitz, 1996). The working electrode potential must depend on the concentration of the analyte in the solution.…”
Section: Introductionsupporting
confidence: 38%
“…), white light interferometry, surface plasmon resonance, etc. [89][90][91][92][93]. Organic [94][95][96] or inorganic [97][98][99] materials are used as active layers in such gas sensing devices.…”
Section: Sensor-based Systemsmentioning
confidence: 40%