# Development of a Fluorescent Rapid Test Sensing System for Influenza Virus

**Authors:** Wei-Chien Weng, Yu-Lin Wu, Zia-Jia Lin, Wen-Fung Pan, Yu-Cheng Lin

PMC · DOI: 10.3390/mi16060635 · Micromachines · 2025-05-28

## TL;DR

This paper introduces a portable, accurate, and reliable fluorescent system for quickly and quantitatively detecting influenza viruses, reducing human error in test interpretation.

## Contribution

A novel fluorescence-based rapid test system with integrated hardware and software for precise, quantitative influenza detection.

## Key findings

- The system achieved high linearity with R2 values of 0.9782 for influenza A and 0.9762 for influenza B.
- Detection limits were 4 ng/mL for influenza A and 6 ng/mL for influenza B with low coefficient of variation.
- The system supports on-site testing and potential expansion to detect other pathogens like COVID-19 and RSV.

## Abstract

This paper presents a sensitive and stable fluorescence rapid test sensing system for the quantitative analysis of influenza rapid test results, integrating a detection reader to minimize errors from conventional visual interpretation. The hardware includes a control board, touchscreen, camera module, UV LED illumination, and a dark chamber, while the software handles camera and light source control, as well as image processing. Validation shows strong linearity, high precision, and reproducibility. For influenza A (H1N1), the system achieved a coefficient of determination (R2) of 0.9782 (25–200 ng/mL) and 0.9865 (1–10 ng/mL); for influenza B (Yamagata), the coefficient of determination (R2) was 0.9762 (2–10 ng/mL). The coefficient of variation ranged from 1–5% for influenza A and 4–9% for influenza B. Detection limits were 4 ng/mL for influenza A and 6 ng/mL for influenza B. These results confirm the system’s capability for accurate quantitative analysis while reducing reliance on subjective interpretation. Its compact, portable design supports on-site rapid testing and allows for potential expansion to detect other targets, such as COVID-19, RSV, and myocardial enzymes. The system’s scalability makes it a promising tool for clinical diagnostics, point-of-care testing (POCT), and infectious disease monitoring.

## Linked entities

- **Diseases:** influenza (MONDO:0005812), influenza A (H1N1) (MONDO:0005460), COVID-19 (MONDO:0100096)

## Full-text entities

- **Diseases:** influenza (MESH:D007251), infectious disease (MESH:D003141), COVID-19 (MESH:D000086382)
- **Species:** H1N1 subtype (serotype) [taxon 114727]

## Full text

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## Figures

9 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12195583/full.md

## References

38 references — full list in the complete paper: https://tomesphere.com/paper/PMC12195583/full.md

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Source: https://tomesphere.com/paper/PMC12195583