A functionalized nanomaterial based, new, solid state cationic-surfactant-selective sensor with fast response and low noise

Hajduković, Mateja; Samardžić, Mirela; Galović, Olivera; Széchenyi, Aleksandar; Sak-Bosnar, Milan

doi:10.1016/j.snb.2017.05.067

Cited by 18 publications

(8 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The MWCNT–OSO 3 − CP + sensor used in this research had a better response to the CS than to the AS since MWCNT–OSO 3 − is not mobile in the sensor membrane and thus forms a repulsive electrostatic barrier for the penetration of anions (Hajduković et al, 2017).…”

Section: Resultsmentioning

confidence: 99%

“…The slope was sub‐Nernstian to OEAS in 1 × 10 −2 M Na 2 SO 4 and super‐Nernstian to EAS and AMAC in water and to DMIC in 1 × 10 −2 M Na 2 SO 4. Sub‐Nernstian and super‐Nernstian responses can be explained with different extraction properties of the membrane toward surfactant cations (Hajduković et al, 2017) and with excess ions at the electrode surface (Pungor and Tóth, 1987). Among the analytical grade CS, DMIC had a slope closest to ideal (59.9 ± 0.5 mV/decade in water), and among the technical grade CS, MAS had a slope closest to ideal (59.5 ± 1.1 mV/decade in water).…”

Section: Resultsmentioning

confidence: 99%

“…The preparation and conditioning of the solid‐state CS‐selective sensor used in this research were previously described (Hajduković et al, 2017). Briefly, MWCNT–OH was modified with chlorosulfonic acid to obtain MWCNT–OSO 3 H, which was mixed with CPC.…”

Section: Methodsmentioning

confidence: 99%

“…In this paper, a solid‐state CS‐selective sensor based on MWCNT functionalized with a sulfate group and the cetylpyridinium ion (MWCNT–OSO 3 − CP + ) as a sensing material (Hajduković et al, 2017) was used. This sensor showed that chemical modification of MWCNT significantly improved the most important properties of the sensor (Hajduković et al, 2017), which is the main reason it was chosen for this investigation. The sensor was used for the optimization of fabric softener composition.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Optimization of a Fabric Softener Formulation with an Electrochemical Sensor and Streaming Potential Measurements

Aničić¹,

Budetić

Dekanić

et al. 2021

J Surfact & Detergents

Self Cite

View full text Add to dashboard Cite

An electrochemical, cationic, surfactant‐selective sensor based on multiwalled carbon nanotubes (MWCNT) functionalized with a sulfate group and the cetylpyridinium ion (MWCNT–OSO3−CP+) as a sensing material was used for optimization of the formulation of a fabric softener. Potentiometric titrations were performed and response measurements were obtained using four cationic surfactants (CS) of technical grade and four CS of analytical grade. The slope closest to Nernstian was obtained for di‐(tallow carboxyethyl) hydroxyethyl methylammonium methosulfate (MAS) (59.5 ± 1.1 mV/decade of activity in water and 57.5 ± 1.3 mV/decade of activity in CaCl2). When using CS as analytes in potentiometric titrations, the best accuracy (99.8%) was obtained when using MAS; therefore, it was chosen as the CS for the fabric softener formulation. Due to the better properties of fabric softeners with silicone in their formulations, four silicones at several concentration levels were used as potential additives. Based on the stability and viscosity of the system, the diquaternary polydimethylsiloxane (DPS) (w = 0.19%) was chosen for the fabric softener formulation. The pH did not significantly influence the potential when in the range of 3–8 or the recovery of potentiometric titrations when in the range of 3–7. The application profile of the CS was assessed through streaming potential measurements of reference fabrics in an electrokinetic analyzer. The obtained electrokinetic parameters indicated on lag in adsorption of model fabric softener (MFS) based on MAS (w = 9%), with the addition of silicone DPS (MFS 3), on cotton and polyester fabrics, but advantage in stability when compared with other MFS investigated.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Optimization of a Fabric Softener Formulation with an Electrochemical Sensor and Streaming Potential Measurements

Aničić¹,

Budetić

Dekanić

et al. 2021

J Surfact & Detergents

Self Cite

View full text Add to dashboard Cite

show abstract

“…It could be overcome by using solid-state sensors or by modifying the membrane composition using less water-soluble sensing materials [ 23 ]. For that purpose, carbon-based nanomaterials, such as multi-walled carbon nanotubes (MWCNTs), proved to be suitable; they can cause better response characteristics [ 24 ], reduce leaching of the sensing material from the membrane, and reduce noise [ 25 ]. In addition, they can be covalently modified while retaining their individual properties, resulting in the formation of a hybrid sensing material [ 26 , 27 ].…”

Section: Introductionmentioning

confidence: 99%

A New, MWCNT-Based, Solid-State Thiabendazole-Selective Sensor

Dandić

Novak

Jozanović

et al. 2022

Sensors

Self Cite

View full text Add to dashboard Cite

Direct potentiometric measurements using solid-state sensors have a great potential for thiabendazole (TBZ) determination, considering simplicity, accuracy, and low cost. Modifying the sensing material of the sensor with multi-walled carbon nanotubes (MWCNTs) leads to improved analytical properties of the sensor. In this study, a new potentiometric solid-state sensor for TBZ determination, based on MWCNTs modified with a sulfate group, and TBZ ion as sensing material was developed. The sensor exhibited a Nernstian response for TBZ (60.4 mV/decade of activity) in a working range between 8.6 × 10−7 and 1.0 × 10−3 M. The detection limit for TBZ was 6.2 × 10−7 M. The response time of the sensor for TBZ was 8 s, and its signal drift was only 1.7 mV/h. The new sensor is applicable for direct potentiometric determination of TBZ in complex real samples, such as fruit peel. The accuracy of TBZ determination is confirmed using the standard addition method.

show abstract