Combining nanobody generation platform, 3D-printed microfluidic chip, and smartphone detection system for monitoring emerging virus-caused diseases

Rapid in-field detection of emerging viruses is crucial for preventing potential pandemics. This study presents the development of a portable, cost-effective point-of-care testing (POCT) device for detecting emerging pathogens. We took H7N9 avian influenza virus (AIV) as an example, utilizing a combination of novel nanobodies, 3D-printed microfluidic chips, and smartphones to monitor the pathogen. The system employs projection micro-stereolithography (PμSL) 3D printing to fabricate a flower-shaped microfluidic chip, which integrates a micropillar array to enhance the surface area for nanobody immobilization. A pair of nanobodies with high specificity and affinity for H7N9 was generated to develop a sensitive colorimetric immunoassay. The assay results can be visually inspected and further quantified using smartphone imaging, eliminating the need for external lighting devices. The device demonstrated a limit of detection (LOD) of 5.9 × 10<sup>3</sup> EID<sub>50</sub>/0.1 mL, comparable to traditional ELISA methods, and was validated on real-world samples. The microfluidic chip's reusability was also established, with up to nine reuse cycles without significant loss of sensitivity. The smartphone-integrated POCT device offers the advantages of portability, simplicity, and rapidity, making it a promising tool for in-field H7N9 virus screening, especially in resource-limited settings. This approach exemplifies the potential of integrating advanced nanotechnology with modern manufacturing techniques and ubiquitous devices to enhance diagnostic accessibility and efficiency.

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Publication Details

Journal
Biosensors and Bioelectronics
Published
2025-09-23
DOI
https://doi.org/10.1016/j.bios.2025.117972
Citations
3
Primary Topic
Biosensors and Analytical Detection
Type
article
Field-Weighted Citation Impact
2.02
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Combining nanobody generation platform, 3D-printed microfluidic chip, and smartphone detection system for monitoring emerging virus-caused diseases

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Combining nanobody generation platform, 3D-printed microfluidic chip, and smartphone detection system for monitoring emerging virus-caused diseases

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article en
3 citations

Abstract

Rapid in-field detection of emerging viruses is crucial for preventing potential pandemics. This study presents the development of a portable, cost-effective point-of-care testing (POCT) device for detecting emerging pathogens. We took H7N9 avian influenza virus (AIV) as an example, utilizing a combination of novel nanobodies, 3D-printed microfluidic chips, and smartphones to monitor the pathogen. The system employs projection micro-stereolithography (PμSL) 3D printing to fabricate a flower-shaped microfluidic chip, which integrates a micropillar array to enhance the surface area for nanobody immobilization. A pair of nanobodies with high specificity and affinity for H7N9 was generated to develop a sensitive colorimetric immunoassay. The assay results can be visually inspected and further quantified using smartphone imaging, eliminating the need for external lighting devices. The device demonstrated a limit of detection (LOD) of 5.9 × 10<sup>3</sup> EID<sub>50</sub>/0.1 mL, comparable to traditional ELISA methods, and was validated on real-world samples. The microfluidic chip's reusability was also established, with up to nine reuse cycles without significant loss of sensitivity. The smartphone-integrated POCT device offers the advantages of portability, simplicity, and rapidity, making it a promising tool for in-field H7N9 virus screening, especially in resource-limited settings. This approach exemplifies the potential of integrating advanced nanotechnology with modern manufacturing techniques and ubiquitous devices to enhance diagnostic accessibility and efficiency.

Biosensors and BioelectronicsVol. 290
Lanzhou University of Technology (CN), Lanzhou Veterinary Research Institute (CN), Chinese Academy of Agricultural Sciences (CN), State Key Laboratory of Applied Organic Chemistry, Harbin Veterinary Research Institute (CN), Lanzhou University (CN), Nanjing Medical University (CN)
Openalex Percentile: Top 12%
Biosensors and Analytical Detection
2.02
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