Published August 2021 | Version v1
Journal article

Polymeric membrane-modified voltammetric sensors for lipophilic analytes with nanomolar detection limit: Key parameters influencing the response characteristics

  • 1. Vanderbilt Eye Institute, Vanderbilt University Medical Center, Nashville TN, 37232 (United States)
  • 2. Department of Biomedical Engineering, The University of Memphis, Memphis, TN 38152 (United States)
  • 3. Biomedical Engineering, Vanderbilt University Medical Center, Nashville TN, 37232 (United States)

Description

Highlights: • The partition coefficient of the analyte between the aqueous sample and the organic membrane. • The membrane volume to sample volume ratio. • The binding constant of constituents in the sample that bind the analyte. • Understanding of the influence of the sensor design parameters on the overall sensor response. Thin plasticized PVC membrane-coated glassy carbon working electrodes have been used for the voltammetric measurement of highly lipophilic, electroactive drugs. Compared to conventional working electrodes, these membrane-coated electrodes exhibit remarkable detection limit and selectivity and are less prone to electrode fouling. The unique performance characteristics of these sensors are related to the large partition coefficient of the analyte in the membrane coating where it is oxidized in a non-aqueous membrane phase. To analyze the influence of the key parameters of the response of membrane-coated sensors, we derived theoretical expressions on the voltammetric response of the sensors. In our analysis we considered 1) the partition coefficient (Pmw) of the analyte between the aqueous sample and the organic membrane, 2) the membrane volume to sample volume ratio (Vm/Vw), and 3) the binding constant of constituents in the sample that bind the analyte (K). The results of our theoretical analysis have been tested through voltammetric measurement of highly lipophilic analytes with logPow values (logarithm of the partition coefficient between octanol and water) ranging between 0.3 and 7.5. By understanding of the influence of the sensor design parameters on the overall sensor response, these parameters can be tuned for optimized response slope, detection limit, etc., for solving specific analytical tasks.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.aca.2021.338642

Additional details

Identifiers

DOI
10.1016/j.aca.2021.338642;
PII
S0003267021004682;

Publishing Information

Journal Title
Analytica Chimica Acta
Journal Volume
1171
Journal Page Range
vp.
ISSN
0003-2670
CODEN
ACACAM

Optional Information

Copyright
Copyright (c) 2021 Elsevier B.V. All rights reserved.