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Smartphone-Assisted Digital Image-Based Optical Biosensor Array for Quantification of Interleukin-8 Using
Akhil Chandrakanth Komaram1, Yen-Ta Tseng2, Chu-An Chan1
1Department of Chemistry and Biochemistry, National Chung Cheng University, Chiayi 621302, Taiwan.
Micromachines
|July 28, 2026
Summary
A novel smartphone biosensor array enables rapid, low-cost detection of interleukin-8 (IL8), a key inflammation biomarker. This digital image-based assay offers high accuracy for point-of-care diagnostics.
Area of Science:
- Biomedical Engineering
- Nanotechnology
- Point-of-Care Diagnostics
Background:
- Interleukin-8 (IL8) is a crucial biomarker for inflammation and angiogenesis.
- Traditional diagnostic methods like ELISA can be time-consuming and expensive.
- There is a need for rapid, portable, and cost-effective diagnostic tools.
Purpose of the Study:
- To develop a smartphone-assisted digital image-based optical biosensor array.
- To enable multiplex detection of biomarkers, specifically IL8, at the point-of-care.
- To achieve sensitive and accurate quantification of IL8 using a colorimetric assay.
Main Methods:
- A planar glass slide with a 2x5 sensor array was functionalized with capture antibodies (AbC).
- Detection antibody-conjugated gold nanoparticles (AuNP@AbD) formed sandwich complexes with IL8 on sensor spots.
- Digital image analysis using ImageJ software quantified colorimetric signals from gold nanoparticles.
Main Results:
- Achieved a low detection limit of 0.23 pg/mL (27 fM) for IL8.
- Demonstrated good reproducibility with a coefficient of variation of 0.95%.
- Validated with IL8-spiked serum, showing minimal matrix effects and high accuracy (99.5% and 106.1%).
Conclusions:
- The developed biosensor array offers a low-cost, portable alternative to traditional ELISAs.
- Smartphone-based digital image analysis enables sensitive and quantitative biomarker detection.
- This technology holds promise for point-of-care multiplex diagnostics.
