Glumac, Nada; Vrban, Lucija; Vianello, Robert; Jozanović, Marija; Fizer, Maksym; Kraševac Sakač, Marija; Velotta, Raffaele; Iannotti, Vincenzo; Della Ventura, Bartolomeo; Cvetnić, Matija; Marković, Dean; Sakač, Nikola (2025) A DODTA–TPB-Based Potentiometric Sensor for Anionic Surfactants: A Computational Design and Environmental Application. Chemosensors, 13 (9). ISSN 2227-9040
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Abstract
Surfactants are used in various washing applications with potential negative environmental and health impacts. The ion-pair 1,3-dioctadecyl-1H-1,2,3-triazol-3-ium-tetraphenylborate (DODTA–TPB) was used to fabricate the potentiometric sensor for the quantification of anionic surfactants. The computational analysis of the DODTA+–TPB− adduct reveals a dynamic, thermodynamically favorable interaction driven primarily by hydrophobic C–H∙∙∙π contacts and the flexibility of the C-18 chains, rather than electrostatic or π–π stacking forces. These findings, supported by the MM-PBSA, RDF, and structural analyses, align with broader trends in molecular recognition and provide a foundation for designing advanced ion-pair-based sensors. The sensor showed advanced analytical properties to anionic surfactants with low interfering effects of selected anions. The response of the SDS was investigated in the range from 8.1 × 10−8 M to 1.0 × 10−2 M, with a slope of −59.2 mV and a limit of detection (LOD) of 3.1 × 10−7 M; and DBS was in the range of 8.1 × 10−8 M to 2.5 × 10−3 M with a slope of −57.5 mV and an LOD of 5.9 × 10−7 M. The sensor was tested on potential interfering ions. Potentiometric titrations of technical-grade anionic surfactants had high recovery rates from 100.2 to 100.4%. The recovery test for spiked samples of surface waters was from 94.2 to 96.5%. The sensor was tested on commercial samples containing anionic surfactants, and the results were compared and showed a good agreement with the two-phase titration method.
| Item Type: | Article | ||||||||
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| Uncontrolled Keywords: | anionic surfactant; potentiometry; sensor; ion-pair; water analysis; DFT | ||||||||
| Subjects: | NATURAL SCIENCES > Interdisciplinary Natural Sciences | ||||||||
| Divisions: | Division of Organic Chemistry and Biochemistry | ||||||||
| Projects: |
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| Depositing User: | Lorena Palameta | ||||||||
| Date Deposited: | 05 Nov 2025 08:55 | ||||||||
| URI: | http://fulir.irb.hr/id/eprint/10141 | ||||||||
| DOI: | 10.3390/chemosensors13090321 |
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