Paper-Based Analytical Devices Coupled with Fluorescence Detection and Smartphone Imaging: Advances and Applications.

PAPER pubmed Sensors (Basel, Switzerland) 2026 Review Effect: unclear Evidence: Insufficient

Read original paper → DOI: 10.3390/s26031012 PMID: 41682527 Evidence Lab

Abstract

Paper-based analytical devices have emerged as a versatile and cost-effective platform for on-site chemical and biological analysis. The integration of fluorescence detection with smartphone imaging has significantly enhanced the analytical performance and portability of these systems, enabling sensitive, rapid, and user-friendly detection of diverse analytes. This review highlights recent advancements in paper-based fluorescence sensing technologies, focusing on their design principles, materials, and detection strategies. Emphasis is placed on the use of nanomaterials, quantum dots, and carbon-based fluorophores that improve sensitivity and selectivity in food, bioanalytical, and environmental applications. The role of smartphones as optical detectors and data processing tools is explored, underscoring innovations in image analysis, calibration algorithms, and app-based quantification methods.

AI evidence extraction

At a glance

Study type

Review

Effect direction

unclear

Population

—

Sample size

—

Exposure

Evidence strength

Insufficient

Confidence: 66% · Peer-reviewed: yes

Main findings

This review describes advances in paper-based analytical devices that use fluorescence detection coupled with smartphone imaging for chemical and biological analysis, highlighting design principles, materials (including nanomaterials, quantum dots, and carbon-based fluorophores), and detection strategies. It discusses smartphones as optical detectors and data-processing tools, including image analysis, calibration algorithms, and app-based quantification methods.

View raw extracted JSON

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    "outcomes": [],
    "main_findings": "This review describes advances in paper-based analytical devices that use fluorescence detection coupled with smartphone imaging for chemical and biological analysis, highlighting design principles, materials (including nanomaterials, quantum dots, and carbon-based fluorophores), and detection strategies. It discusses smartphones as optical detectors and data-processing tools, including image analysis, calibration algorithms, and app-based quantification methods.",
    "effect_direction": "unclear",
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    "evidence_strength": "insufficient",
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    "peer_reviewed_likely": "yes",
    "keywords": [
        "paper-based analytical devices",
        "fluorescence detection",
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        "nanomaterials",
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        "carbon-based fluorophores",
        "image analysis",
        "calibration algorithms",
        "app-based quantification"
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}

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AI-extracted fields are generated from the abstract/metadata and may be incomplete or incorrect. This content is for informational purposes only and is not medical advice.

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