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A Polyaniline-based Sensor of Nucleic Acids
Published on: November 1, 2016
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Semi-enclosed paper sensor for highly sensitive and selective detection of proline
Mallesh Santhosh1, Tusan Park2
1Smart Agriculture Innovation Center, Kyungpook National University, Daegu, South Korea.
Analytica Chimica Acta
|October 11, 2022
Summary
We developed a novel paper-based device using isatin-conjugated chitosan for proline detection. This method offers a sensitive, accurate, and cost-effective tool for on-site plant stress evaluation.
Area of Science:
- Analytical Chemistry
- Biochemistry
- Materials Science
Background:
- Proline is a key stress biomarker in plants and an important amino acid in food and wine.
- Accurate quantification of proline is crucial for agriculture, food, and wine industries.
- Existing methods for proline detection can be complex and time-consuming.
Purpose of the Study:
- To develop a sensitive and accurate microfluidic paper-based analytical device (μPAD) for proline detection.
- To utilize isatin-conjugated chitosan as a specific colorimetric reagent for enhanced proline quantification.
- To establish a smartphone-based imaging platform for on-site proline analysis.
Main Methods:
- Fabrication of semi-enclosed, leak-proof μPADs modified with isatin-conjugated chitosan.
- Colorimetric detection of proline based on the specific interaction with isatin.
- Smartphone-based image capture using a 3D-printed imaging box for uniform illumination and positioning.
- Evaluation of proline content in Arabidopsis plants under water stress.
Main Results:
- The developed μPAD platform demonstrated enhanced color signal intensity and accuracy.
- The method achieved a comparable limit of detection (23.75 μM) with an enhanced detection range (∼7 fold) compared to previous platforms.
- Optimized reaction conditions required reduced temperature and time.
- Successfully evaluated proline levels in water-stressed Arabidopsis plants.
Conclusions:
- The isatin-conjugated chitosan modified μPAD offers a sensitive, rapid, and cost-effective method for proline quantification.
- The smartphone-based imaging system enhances the accuracy and accessibility of the assay.
- This paper-based platform holds significant potential for on-site evaluation of plant stress and proline content in various industries.

