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Quantifying Plant Soluble Protein and Digestible Carbohydrate Content, Using Corn Zea mays As an Exemplar

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Highly sensitive enclosed multilayer paper-based microfluidic sensor for quantifying proline in plants.

Young-Soo Choi¹, Min Kyu Im², Mi Rha Lee¹

¹Agricultural Robotics and Automation Research Center, Chonnam National University, Gwangju, 61186, Republic of Korea.

Analytica Chimica Acta

|March 7, 2020

Summary

A new enclosed multilayer paper sensor accurately detects proline, a biomarker for plant drought stress. This highly sensitive sensor offers precise, low-limit detection for early drought identification and improved crop yields.

Keywords:

Arabidopsis Drought stress Ninhydrin Paper-based sensor Proline

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Area of Science:

Plant Science
Analytical Chemistry
Biomarker Detection

Background:

Free proline is a key biomarker for diagnosing drought stress in plants.
Previous proline detection methods using paper sensors lacked sufficient sensitivity.
Developing a sensitive and accurate method for proline quantification is crucial for early drought detection.

Purpose of the Study:

To develop a highly sensitive, enclosed multilayer paper-based microfluidic sensor for quantitative proline detection in plants.
To improve upon the sensitivity limitations of previous proline detection methods.
To enable precise, field-based measurement of proline for early drought stress diagnosis.

Main Methods:

Fabrication of an enclosed multilayer paper sensor using wax printing and origami techniques.
Incorporation of an internal mixing channel for enhanced proline-ninhydrin reaction.
Preloading ninhydrin onto the sample loading area for uniform coloration and quantitative analysis.

Main Results:

The developed sensor demonstrated a low Limit of Detection (LOD) of 23 μM, a 29-fold improvement over previous sensors.
Uniform coloration in the sensing window allowed for quantitative analysis with a constant reaction time.
Proline concentrations measured by the paper sensor showed no significant difference compared to a spectrophotometric method.
The sensor effectively detected proline in drought-stressed Arabidopsis thaliana plants.

Conclusions:

The novel enclosed multilayer paper sensor provides accurate and sensitive quantitative detection of proline.
Its low LOD and field-deployable nature make it suitable for early detection of plant drought stress.
This technology has the potential to improve crop productivity through timely drought management.