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Related Experiment Video

Updated: Jan 8, 2026

Fabricating Cotton Analytical Devices
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Fabricating Cotton Analytical Devices

Published on: August 30, 2016

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Colorimetric sensor based on cotton thread for the quantification of ascorbic acid using Prussian blue and digital

Josiane Lopes de Oliveira1, Davi Pinheiro Coelho1, Willian Toito Suarez1

  • 1Federal University of Viçosa, MG, 36570-000, Brazil.

Analytical Methods : Advancing Methods and Applications
|December 16, 2025
PubMed
Summary

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This study introduces a novel cotton thread sensor and smartphone method for quantifying L-ascorbic acid (L-AA). The cost-effective, green approach offers precise and accurate results for complex samples.

Area of Science:

  • Analytical Chemistry
  • Biosensors
  • Materials Science

Background:

  • Accurate quantification of L-ascorbic acid (L-AA) is crucial in various fields.
  • Existing methods can be time-consuming, expensive, or require specialized equipment.
  • Development of rapid, portable, and cost-effective analytical tools is needed.

Purpose of the Study:

  • To develop an innovative cotton thread-based colorimetric sensor for L-AA quantification.
  • To integrate the sensor with a smartphone digital image-based (DIB) method for enhanced usability.
  • To validate the method's performance and green metrics.

Main Methods:

  • Design and optimization of a microfluidic cotton thread-based analytical device (µTAD).
  • Utilizing a redox reaction between Prussian Blue (PB) and L-AA for colorimetric detection.

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  • Employing a central composite design for experimental condition optimization.
  • Smartphone-based digital image analysis for quantification.

    • Main Results:

    • The µTAD demonstrated a low sample consumption (30 µL).
    • Achieved a wide linear range (1.0–4.6 mg L-1) with high linearity (R2 = 0.993).
    • Obtained a low limit of detection (0.18 mg L-1) and high recovery rates (87.2%–106%) in complex samples.
    • The method showed no significant difference compared to iodometric titration.
    • Demonstrated high precision (<3.5%) and accuracy (<6.5%).

    Conclusions:

    • The developed cotton thread sensor and DIB method provide a fast (10–25 min), cost-effective (USD 0.10/device), and reliable approach for L-AA quantification.
    • The method exhibits excellent analytical performance and is suitable for analyzing complex matrices like fruit pulps.
    • The approach aligns with green chemistry principles, achieving a high AGREE calculator score (85%).