ACS Publications. Most Trusted. Most Cited. Most Read
My Activity
CONTENT TYPES

Figure 1Loading Img

Calibration Models under Dynamic Conditions for Determining Molecular Oxygen with Optical Sensors on the Basis of Luminescence Quenching of Transition-Metal Complexes Embedded in Polymeric Matrixes

View Author Information
Department of Chemical Sciences, University of Padua, 1 Via Marzolo 1, 35131 Padua, Italy
* To whom correspondence should be addressed. Phone: (+)39 49 8275182. Fax: (+)39 49 8275175. E-mail: [email protected]
Cite this: J. Phys. Chem. C 2009, 113, 47, 20467–20475
Publication Date (Web):November 2, 2009
https://doi.org/10.1021/jp906059m
Copyright © 2009 American Chemical Society

    Article Views

    452

    Altmetric

    -

    Citations

    LEARN ABOUT THESE METRICS
    Other access options

    Abstract

    Abstract Image

    Three oxygen-sensitive polysulfone-based membranes employing ruthenium tris(4,7-diphenyl-1,10-phenanthroline)octylsulfonate (Ru(dpp)OS), 5,10,15,20-tetraphenyl-21H,23H-porphyrin platinum(II) (PtTPP), and 5,10,15,20-tetrakis(pentafluorophenyl)-21H,23H-porphyrin palladium(II) (PdFTPP) were prepared and tested with different calibration approaches. The three luminescent labels were chosen for their different lifetimes giving the dimensionless Stern−Volmer (SV) constant, KSV, of 0.0176(0.0001), 0.146(0.001), and 1.768(0.014) for Ru(dpp)OS, PtTPP, and PdFTPP, respectively. The usual SV calibration approach, model I, was compared to two alternative dynamic models on the basis of the light emission profile. Model II was based on the inflection point, and model III was based on a suitable integral of the light emission profile. Regression parameters were determined, and their physical meanings were explained with digital simulation techniques enlightening the nature of the chosen approaches. Sensitivity, precision, and working interval of the three membranes were studied. Model I fails for high oxygen percentage values, %O2 (depending on luminophore nature), while the other two work well in the whole 0−100 %O2 range. Model I works up to 98%, 50%, and 25% oxygen with Ru(dpp)OS, PtTPP, and PdFTPP, respectively. Model II is more sensitive than model I for %O2 < 60%, < 6%, and < 2% for Ru(dpp)OS, PtTPP, and PdFTPP membranes, respectively. Precision of model I is almost constant as foreseen for a linear model. Averaged experimental precision values of 3.5, 0.7, and 0.4% were found for Ru(dpp)OS, PtTPP, and PdFTPP, respectively. An averaged dimensionless kinetic constant valid for all membrane typologies was determined. It allowed the evaluation of the membrane thickness.

    Read this article

    To access this article, please review the available access options below.

    Get instant access

    Purchase Access

    Read this article for 48 hours. Check out below using your ACS ID or as a guest.

    Recommended

    Access through Your Institution

    You may have access to this article through your institution.

    Your institution does not have access to this content. You can change your affiliated institution below.

    Cited By

    This article is cited by 7 publications.

    1. Angel de la Torre, Santiago Medina-Rodríguez, Jose C. Segura, Jorge F. Fernández-Sánchez. A Polynomial-Exponent Model for Calibrating the Frequency Response of Photoluminescence-Based Sensors. Sensors 2020, 20 (16) , 4635. https://doi.org/10.3390/s20164635
    2. Nicola Trivellin, Diego Barbisan, Denis Badocco, Paolo Pastore, Gaudenzio Meneghesso, Matteo Meneghini, Enrico Zanoni, Giuseppe Belgioioso, Angelo Cenedese. Study and Development of a Fluorescence Based Sensor System for Monitoring Oxygen in Wine Production: The WOW Project. Sensors 2018, 18 (4) , 1130. https://doi.org/10.3390/s18041130
    3. Santiago Medina-Rodríguez, Ángel de la Torre-Vega, Carlos Medina-Rodríguez, Jorge F. Fernández-Sánchez, Alberto Fernández-Gutiérrez. On the calibration of chemical sensors based on photoluminescence: Selecting the appropriate optimization criterion. Sensors and Actuators B: Chemical 2015, 212 , 278-286. https://doi.org/10.1016/j.snb.2015.02.022
    4. Alberto Nisti, Francesca Dini, Alexandro Catini, Rosamaria Capuano, Eugenio Martinelli, Roberto Paolesse, Corrado Di Natale, Arnaldo D’Amico. An Optical Sensor for Measuring Oxygen Concentration. 2014, 459-463. https://doi.org/10.1007/978-1-4614-3860-1_82
    5. Denis Badocco, Andrea Mondin, Paolo Pastore. Signal drift of oxygen optical sensors. Part I: Rationalization of the drift nature and its experimental check with a light intensity detection based sensor. Sensors and Actuators B: Chemical 2013, 181 , 943-948. https://doi.org/10.1016/j.snb.2012.12.040
    6. Denis Badocco, Andrea Mondin, Paolo Pastore. Rationalization of the behaviour of a bi-label oxygen optical sensor. Sensors and Actuators B: Chemical 2011, 158 (1) , 54-61. https://doi.org/10.1016/j.snb.2011.05.024
    7. Francesco Barigelletti. Photophysics of transition metal complexes. 2010, 234-274. https://doi.org/10.1039/9781849730860-00234

    Pair your accounts.

    Export articles to Mendeley

    Get article recommendations from ACS based on references in your Mendeley library.

    Pair your accounts.

    Export articles to Mendeley

    Get article recommendations from ACS based on references in your Mendeley library.

    You’ve supercharged your research process with ACS and Mendeley!

    STEP 1:
    Click to create an ACS ID

    Please note: If you switch to a different device, you may be asked to login again with only your ACS ID.

    Please note: If you switch to a different device, you may be asked to login again with only your ACS ID.

    Please note: If you switch to a different device, you may be asked to login again with only your ACS ID.

    MENDELEY PAIRING EXPIRED
    Your Mendeley pairing has expired. Please reconnect