Evaluation of Non-Faradaic Impedimetric Parameters for IL-8 Detection Using Gold Interdigitated Electrode-Based Biosensors: Towards Early Detection of Newborn Disability
Interleukin-8 (IL-8) is a critical biomarker associated with inflammation and disability in both adults and newborns. Conventional detection methods are often labor-intensive, time-consuming, and require highly trained personnel. Non-Faradaic impedimetric biosensors offer a label-free, rapid, and direct approach for IL-8 detection. While previous studies have primarily focused on capacitance and phase changes, the potential of other impedimetric parameters remains underexplored. In this study, a gold interdigitated electrode (Au-IDE)-based non-Faradaic biosensor was developed for IL-8 detection, evaluating multiple impedimetric parameters, including capacitance, impedance magnitude (Z<sub>mod</sub>), real impedance (Z<sub>real</sub>), and imaginary impedance (Z<sub>imag</sub>). Among these, Z<sub>imag</sub> exhibited the lowest limit of detection (LoD) at 90 pg/mL, followed by Z<sub>mod</sub> at 120 pg/mL, and capacitance at 140 pg/mL, all significantly below the clinical threshold of 600 pg/mL. In contrast, Z<sub>real</sub> displayed the highest LoD at 1.3 ng/mL. Sensitivity analysis revealed that Z<sub>imag</sub> provided the highest sensitivity at 13.1 kΩ/log (ng/mL), making it the most effective parameter for detecting IL-8 at low concentrations. The sensitivity of Z<sub>mod</sub> and Z<sub>real</sub> was lower, while capacitance sensitivity was measured at 20 nF/log (ng/mL). These findings highlight the importance of investigating alternative impedimetric parameters beyond capacitance to optimize biosensor performance for biomarker detection. This study demonstrates that non-Faradaic biosensors, despite their capacitive-based nature, can achieve enhanced sensitivity and detection limits by leveraging additional impedimetric parameters, offering a promising approach for rapid and effective IL-8 detection.
Authors
- Abdulaziz K. Assaifan (ORCID: https://orcid.org/0000-0002-2836-9243)
- Hend Alfadul (ORCID: https://orcid.org/0009-0007-8086-937X)
- Abdulelah S. Alrebaish (ORCID: https://orcid.org/0000-0001-5372-0632)
- Amir Altinawi
- Layla O. Alnami
- Joud M. Alshraim
- Razan A. Alnghemshi
- Alanoud A. Aljammaz
- Kholood K. Alhuthali
Institutions
- King Saud University (SA)
- King Salman Center for Disability Research (SA)
Publication Details
- Journal
- Micromachines
- Published
- 2025-03-28
- DOI
- https://doi.org/10.3390/mi16040395
- Citations
- 2
- Primary Topic
- Advanced biosensing and bioanalysis techniques
- Type
- article
- Field-Weighted Citation Impact
- 1.61
Funders
- King Salman Center for Disability Research