Anthracene based surface acoustic wave sensors for picomolar detection of lead ions. Correlation between experimental results and DFT calculations
Autor: | R. Ben Chaabane, J.-P. Mbakidi, Seyfeddine Rahali, Safa Hayouni, S. Bouquillon, Safa Teka, Chouki Zerrouki, Ghada Attia, Mahamadou Seydou, S. Chehimi, Najla Fourati, Mustapha Majdoub |
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Přispěvatelé: | Université de Monastir - University of Monastir (UM), Université de Tunis - El Manar II, Université de Tunis El Manar (UTM), Systèmes et Applications des Technologies de l'Information et de l'Energie (SATIE), École normale supérieure - Cachan (ENS Cachan)-Université Paris-Sud - Paris 11 (UP11)-Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-École normale supérieure - Rennes (ENS Rennes)-Université de Cergy Pontoise (UCP), Université Paris-Seine-Université Paris-Seine-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Centre National de la Recherche Scientifique (CNRS), Interfaces, Traitements, Organisation et Dynamique des Systèmes (ITODYS (UMR_7086)), Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), École d'ingénieur généraliste en informatique et technologies du numérique (EFREI), Institut de Chimie Moléculaire de Reims - UMR 7312 (ICMR), SFR Condorcet, Université de Reims Champagne-Ardenne (URCA)-Université de Picardie Jules Verne (UPJV)-Centre National de la Recherche Scientifique (CNRS)-Université de Reims Champagne-Ardenne (URCA)-Université de Picardie Jules Verne (UPJV)-Centre National de la Recherche Scientifique (CNRS)-SFR CAP Santé (Champagne-Ardenne Picardie Santé), Université de Reims Champagne-Ardenne (URCA)-Université de Picardie Jules Verne (UPJV)-Université de Reims Champagne-Ardenne (URCA)-Université de Picardie Jules Verne (UPJV)-Université de Reims Champagne-Ardenne (URCA)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS) |
Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
Materials science
02 engineering and technology Ionic liquid 010402 general chemistry 01 natural sciences Surface acoustic wave sensors Ion chemistry.chemical_compound Sulfanyl [CHIM.ANAL]Chemical Sciences/Analytical chemistry Anthracene derivates Lead ions Materials Chemistry Molecule [CHIM]Chemical Sciences Electrical and Electronic Engineering Instrumentation Detection limit Anthracene Metals and Alloys 021001 nanoscience & nanotechnology Condensed Matter Physics 0104 chemical sciences Surfaces Coatings and Films Electronic Optical and Magnetic Materials chemistry Density functional theory Physical chemistry Surface acoustic wave sensor 0210 nano-technology Selectivity |
Zdroj: | Sensors and Actuators B: Chemical Sensors and Actuators B: Chemical, Elsevier, 2018, 276, pp.349-355. ⟨10.1016/j.snb.2018.08.033⟩ |
ISSN: | 0925-4005 |
Popis: | International audience; 104 MHz surface acoustic wave (SAW) sensors functionalized with new anthracene derivates were designed for the detection of lead ions (Pb2+) in liquid media. On the basis on quantum chemical calculations, three anthracene molecules have been synthetized and tested: 4-(9-anthrylmethoxy) benzyl[4-(9-anthrylmethoxy)phenyl]sulfone (BPS-AN); 9-{[4-({[4-(9 anthrylmethoxy) phenyl]sulfanyl}methyl)]methyl] anthracene (TDP-AN) and 2,2-bis(4 anthracenylmethoxy-1,1′-biphenyl (BP-AN). Gravimetric results indicate that the affinity of BPS-AN towards Pb2+ ions is superior to that of TDP-AN and BP-AN, confirming thus the computational approach. The designed BPS-AN SAW sensor has a sensitivity of [7.2 ± 4.6]×108 [°/M], a limit of detection (LOD) of 22 pM, and displayed very high affinity to lead ions with an apparent dissociation constant Kd of order of (1.1 ± 2.7) × 10−10. Selectivity was investigated by both gravimetry and DFT calculation. Results indicate that the designed sensor is more sensitive to lead cations than copper and mercury ones. A tetrabutylphosphonium (TBP) lactate ionic liquid (IL) solution was used to regenerate the SAW sensor, permitting its further reuse a dozen times without degrading the BPS-AN recognition layer. |
Databáze: | OpenAIRE |
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