Cargando…

Study of Cationic Surfactants Raw Materials for COVID-19 Disinfecting Formulations by Potentiometric Surfactant Sensor

The behavior of a new 1,3-dioctadecyl-1H-imidazol-3-ium tetraphenylborate (DODI-TPB) surfactant sensor was studied in single and complex mixtures of technical grade QACs—benzalkonium chloride (BAC), N,N-didecyl-N,N-dimethylammonium chloride (DDAC), and N,N-dioctyl-N,N-dimethylammonium chloride (DOAC...

Descripción completa

Detalles Bibliográficos
Autores principales: Sakač, Nikola, Madunić-Čačić, Dubravka, Marković, Dean, Jozanović, Marija
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9964672/
https://www.ncbi.nlm.nih.gov/pubmed/36850724
http://dx.doi.org/10.3390/s23042126
_version_ 1784896565915156480
author Sakač, Nikola
Madunić-Čačić, Dubravka
Marković, Dean
Jozanović, Marija
author_facet Sakač, Nikola
Madunić-Čačić, Dubravka
Marković, Dean
Jozanović, Marija
author_sort Sakač, Nikola
collection PubMed
description The behavior of a new 1,3-dioctadecyl-1H-imidazol-3-ium tetraphenylborate (DODI-TPB) surfactant sensor was studied in single and complex mixtures of technical grade QACs—benzalkonium chloride (BAC), N,N-didecyl-N,N-dimethylammonium chloride (DDAC), and N,N-dioctyl-N,N-dimethylammonium chloride (DOAC) usually used in COVID-19 disinfecting agents formulations. The results obtained with the new DODI-TPB sensor were in good agreement with data measured by a 1,3-dihexadecyl−1H-benzo[d]imidazol−3-ium-tetraphenylborate (DMI-TPB) surfactant sensor, as well as two-phase titration used as a reference method. The quantitative titrations of a two-component mixture of the cationic homologs (a) DDAC and DOAC; and (b) BAC and DOAC showed that the new DODI-TPB surfactant sensor can clearly distinguish two separate mixture components in a single potentiometric titration curve with two characteristic inflexion points. The consumption of SDS (used as a titrant) in the end-point 1 (EP 1) corresponded to the content of DDAC (or BAC), whereas the consumption in the end-point 2 (EP 2) corresponded to the total content of both cationic surfactants in the mixture. DOAC content in both mixtures can be calculated from the difference of the titrant used to achieve EP1 and EP2. The addition of nonionic surfactants resulted in the signal change decrease from 333.2 mV (1:0; no nonionic surfactant added) to 243.0 mV (1:10, w/w). The sensor was successfully tested in ten two-component COVID-19 disinfecting formulations.
format Online
Article
Text
id pubmed-9964672
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-99646722023-02-26 Study of Cationic Surfactants Raw Materials for COVID-19 Disinfecting Formulations by Potentiometric Surfactant Sensor Sakač, Nikola Madunić-Čačić, Dubravka Marković, Dean Jozanović, Marija Sensors (Basel) Article The behavior of a new 1,3-dioctadecyl-1H-imidazol-3-ium tetraphenylborate (DODI-TPB) surfactant sensor was studied in single and complex mixtures of technical grade QACs—benzalkonium chloride (BAC), N,N-didecyl-N,N-dimethylammonium chloride (DDAC), and N,N-dioctyl-N,N-dimethylammonium chloride (DOAC) usually used in COVID-19 disinfecting agents formulations. The results obtained with the new DODI-TPB sensor were in good agreement with data measured by a 1,3-dihexadecyl−1H-benzo[d]imidazol−3-ium-tetraphenylborate (DMI-TPB) surfactant sensor, as well as two-phase titration used as a reference method. The quantitative titrations of a two-component mixture of the cationic homologs (a) DDAC and DOAC; and (b) BAC and DOAC showed that the new DODI-TPB surfactant sensor can clearly distinguish two separate mixture components in a single potentiometric titration curve with two characteristic inflexion points. The consumption of SDS (used as a titrant) in the end-point 1 (EP 1) corresponded to the content of DDAC (or BAC), whereas the consumption in the end-point 2 (EP 2) corresponded to the total content of both cationic surfactants in the mixture. DOAC content in both mixtures can be calculated from the difference of the titrant used to achieve EP1 and EP2. The addition of nonionic surfactants resulted in the signal change decrease from 333.2 mV (1:0; no nonionic surfactant added) to 243.0 mV (1:10, w/w). The sensor was successfully tested in ten two-component COVID-19 disinfecting formulations. MDPI 2023-02-13 /pmc/articles/PMC9964672/ /pubmed/36850724 http://dx.doi.org/10.3390/s23042126 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Sakač, Nikola
Madunić-Čačić, Dubravka
Marković, Dean
Jozanović, Marija
Study of Cationic Surfactants Raw Materials for COVID-19 Disinfecting Formulations by Potentiometric Surfactant Sensor
title Study of Cationic Surfactants Raw Materials for COVID-19 Disinfecting Formulations by Potentiometric Surfactant Sensor
title_full Study of Cationic Surfactants Raw Materials for COVID-19 Disinfecting Formulations by Potentiometric Surfactant Sensor
title_fullStr Study of Cationic Surfactants Raw Materials for COVID-19 Disinfecting Formulations by Potentiometric Surfactant Sensor
title_full_unstemmed Study of Cationic Surfactants Raw Materials for COVID-19 Disinfecting Formulations by Potentiometric Surfactant Sensor
title_short Study of Cationic Surfactants Raw Materials for COVID-19 Disinfecting Formulations by Potentiometric Surfactant Sensor
title_sort study of cationic surfactants raw materials for covid-19 disinfecting formulations by potentiometric surfactant sensor
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9964672/
https://www.ncbi.nlm.nih.gov/pubmed/36850724
http://dx.doi.org/10.3390/s23042126
work_keys_str_mv AT sakacnikola studyofcationicsurfactantsrawmaterialsforcovid19disinfectingformulationsbypotentiometricsurfactantsensor
AT maduniccacicdubravka studyofcationicsurfactantsrawmaterialsforcovid19disinfectingformulationsbypotentiometricsurfactantsensor
AT markovicdean studyofcationicsurfactantsrawmaterialsforcovid19disinfectingformulationsbypotentiometricsurfactantsensor
AT jozanovicmarija studyofcationicsurfactantsrawmaterialsforcovid19disinfectingformulationsbypotentiometricsurfactantsensor