A Simple, Rapid, and Cost-Effective Method for Assessing Carbohydrate Partitioning in Microalgae and Arabidopsis...

Area of Science:

• Plant biology
• Algal biology
• Biochemistry

Background:

• Carbohydrates are vital for cellular functions, growth, and development in plants and algae.
• Current carbohydrate determination methods are expensive and time-consuming.
• Efficient analysis is crucial for applications in food, biofuels, and environmental management.

Purpose of the Study:

• To develop a novel, cost-effective method for assessing carbohydrate partitioning in small biological samples.
• To simplify and expedite the analysis of soluble sugars, starch, and structural polymers.

Main Methods:

• Utilizing differential solubility to fractionate carbohydrates (soluble sugars, starch, structural polymers).
• Employing spectrophotometric analysis for sugar quantification after fractionation.
• Validating the method on small samples from microalgae and *A. thaliana* seedlings.

Main Results:

• A cost-effective and time-efficient method for carbohydrate partitioning analysis was established.
• The method accurately quantifies carbohydrate distribution in small sample volumes.
• Demonstrated applicability across different plant and algal species.

Conclusions:

• This novel spectrophotometric approach offers an accessible and economical solution for carbohydrate analysis.
• The method's efficiency and low cost facilitate broader adoption in research and quality control.
• Enables detailed carbohydrate profiling from minimal biological material, advancing plant and algal research.