Marina Miras

Marina Miras

Análisis instrumental, Centro Tecnológico Nacional de la Conserva y Alimentación, Molina de Segura, Spain
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Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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12 July 2021 in Analytical Methods
Verified
Journal Article
Closed access
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Marina MirasMarina Miras
Marina Miras
MGMaría Soledad García
María Soledad García
VMVicente Martínez
Vicente Martínez
Joaquín Ángel OrtuñoJoaquín Ángel Ortuño
Joaquín Ángel Ortuño
A fast, simple and inexpensive potentiometric method has been developed for the determination of potassium and nitrate in nutrient solutions, by means of ion-selective electrodes based on plasticized PVC membranes containing an ion-exchanger.

20 July 2023 in Chemosensors
Verified
Journal Article
Open access
PDF file
Marina MirasMarina Miras
Marina Miras
MCMaría Cuartero
María Cuartero
MGMaria Soledad García
Maria Soledad García
ARAlberto Ruiz
Alberto Ruiz
Joaquín Ángel OrtuñoJoaquín Ángel Ortuño
Joaquín Ángel Ortuño
A potentiometric electronic tongue (ET) for the analysis of well and ditch irrigation water samples is herein proposed. The sensors’ array is composed of six ion-selective electrodes based on plasticized polymeric membranes with low selectivity profiles, i.e., the membranes do not contain any selective receptor. The sensors differ between them in the type of ion-exchanger (sensors for cations or anions) and the plasticizer used in the membrane composition, while the polymeric matrix and the preparation protocol were maintained. The potentiometric response of each sensor towards the main cations (Na+, K+, Ca2+, Mg2+) and anions (HCO3−, Cl−, SO42−, NO3−) expected in irrigation water samples was characterized, revealing a fast response time (<50 s). A total of 19 samples were analyzed with the sensor array at optimized experimental conditions, but, also, a series of complementary analytical techniques were applied to obtain the exact ion composition and conductivity to develop a trustable ET. The principal component analysis of the final potential values of the dynamic response observed with each sensor in the array allows for the differentiation between most of the samples in terms of quality. Furthermore, the ET was treated with a linear multivariate regression method for the quantitative determination of the mentioned ions in the irrigation water samples, revealing rather good prediction of Mg2+, Na+, and Cl− concentrations and acceptable results for the rest of ions. Overall, the ET is a promising analytical tool for irrigation water quality, exceeding traditional characterization approaches (conductivity, salinity, pH, cations, anions, etc.) in terms of overhead costs, versatility, simplicity, and total time for data provision.