7th International Symposium on Sensor Science 2019
DOI: 10.3390/proceedings2019015008
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Sensing of Copper(II) by Immobilized Ligands: Comparison of Electrochemical and Surface Plasmon Resonance Transduction

Abstract: Two sensors for the detection of the metal ion Cu(II), based on the same sensing layer, are compared. They rely on different transduction methods, i.e., electrochemistry and surface plasmon resonance (SPR). D,L-penicillamine was used as the specific receptor since it is a strong ligand for copper(II). Moreover it is easily immobilized on a gold layer by a self assembling procedure by contacting the gold layer overnight with water/EtOH (80/20) containing D,L-penicillamine, taking advantage of the spontaneous in… Show more

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Cited by 2 publications
(6 citation statements)
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“…These results indicate that the selectivity of the proposed sensor in water is very good, considering that the natural sample examined has a high mineral content, for example a calcium concentration as high as 2 × 10 −2 M (see Table 3). This confirms some previously reported preliminary results, showing that the resonance wavelength of the SPR-POF sensor with d , l -penicillamine SAM is not affected by low concentrations of metal ions as Ca(II) or Fe(III) [22].…”
Section: Resultssupporting
confidence: 92%
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“…These results indicate that the selectivity of the proposed sensor in water is very good, considering that the natural sample examined has a high mineral content, for example a calcium concentration as high as 2 × 10 −2 M (see Table 3). This confirms some previously reported preliminary results, showing that the resonance wavelength of the SPR-POF sensor with d , l -penicillamine SAM is not affected by low concentrations of metal ions as Ca(II) or Fe(III) [22].…”
Section: Resultssupporting
confidence: 92%
“…The Δλ max value, here obtained (3.56 nm), is lower than that obtained in the preliminary investigation [22], which was about 6 nm. This is ascribable mainly to the fact that a different photoresist was here used, as the buffer layer, to build the sensor.…”
Section: Resultscontrasting
confidence: 90%
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