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Sensor Array-Based Optical Portable Instrument For Determination Of Ph

[PDF] sdarticle-fotometro.pdf (770.8Kb)
Identificadores
URI: https://hdl.handle.net/10481/85490
DOI: 10.1016/j.snb.2011.02.052
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Autor
Martínez Olmos, Antonio; Capel Cuevas, Sonia; López Ruiz, Nuria; Palma López, Alberto José; Orbe Payá, Ignacio De; Capitán Vallvey, Luis Fermín
Materia
Full-range optical pH sensor array
 
OLED display
 
Digital colour detector
 
HSV colour space
 
Portable instrumentation
 
Fecha
2011-02-23
Referencia bibliográfica
A. Martinez-Olmos, S. Capel-Cuevas, N. L´opez-Ruiz, A.J. Palma, I. de Orbe, L.F. Capit´an-Vallvey, Sensor Array-Based Optical Portable Instrument For Determination Of Ph, Sensors and Actuators B: Chemical (2010), doi:10.1016/j.snb.2011.02.052
Patrocinador
Ministerio de Ciencia e Innovación, Dirección General de Investigación y Gestión del Plan Nacional de I+D+i (Spain) (Projects CTQ2009-14428-C02-01 and CTQ2009-14428-C02-02); Junta de Andalucía (Proyecto de Excelencia P08-FQM-3535); Partially supported by European Regional Development Funds (ERDF)
Resumen
A portable optical instrument is presented that makes it possible to determine pH with a colorimetric sensor array. The use of four membranes containing acid-base indicators makes it possible to cover the full range of pH using the H (hue) coordinate measurements of the HSV colour space. pH sensitive membranes were directly cast onto a plastic support to form a two-dimensional array, located between an OLED display as the programmable light source and a set of digital colour detectors. The resulting microcontroller-based system is immune to optical and electrical interferences. A complete optical and electrical characterization and optimization of the hand-held instrument was carried out. The instrument was used to determine pH using a simple algorithm to select the sensor output that was programmed in the microcontroller. The initial eleven candidate pH membranes were reduced to only four, which permit to obtain reliable pH values. The pH response of the selected four sensing elements was modelled, and calibration curves were applied to a validation set and real samples obtaining positive correlations between the real and predicted data.
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