Generalized Adaptive Cation-Selective Interfaces Exhibiting High Stability: Integrating Transduction Materials and Uniform Ion-Selective Membranes via One-Step Fabrication.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 40370121.
- Also identified by DOI 10.1002/adma.202501749.
- No licence information is recorded for this record.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
Abstract
Rapidly advancing all-solid-state ion-selective electrodes are promising candidates as key components in intelligent biological and chemical sensors. Ionics sensing performance, essential for sensor stability and reliability, is influenced not only by interface compositions but by often-overlooked overall interface structures. This work develops a one-step adaptive integrated interface structure (AIIS) with high interfacial stability for analyzing general cations (K<sup>+</sup>, Na<sup>+</sup>, Ca<sup>2+</sup>, Mg<sup>2+</sup>, Pb<sup>2+</sup>, Cd<sup>2+</sup>, and Cu<sup>2+</sup>), showcasing exceptional near-Nernst response across wide linear ranges. AIIS, based on cetyltrimethylammonium-regulated lipophilic molybdenum disulfide (2.0 CTA-MoS<sub>2</sub>), forms single-piece ISM on top and bottom transduction layers over time due to THF volatilization in ISM solutions, ensuring performance adaptability. A kinetic model developed through electrochemical numerical simulation confirms the optimal theoretical stability of an AIIS based on maximum transduction layer charge current and minimal diffusion current. The mixed capacitive transduction mechanism driven by the adsorption of TFPB<sup>-</sup> on the 2.0 CTA-MoS<sub>2</sub> surface is elucidated. Adaptive integrated cadmium ion-selective electrodes, as a case study, exhibit excellent interfacial stability (potential drift of 5.51 ± 0.32 µV h<sup>-1</sup> for 24 h and sensitivity loss rate of 4.77% for 30 days) and selectivity. This study proposes a promising strategy for constructing extendable interface structures, providing valuable insights for advancing sensor chip development.