Optimization of a simple, accurate and low cost method for starch quantification in green microalgae

Area of Science:

• Biotechnology
• Algal Research
• Bioenergy

Background:

• Lipids and starch are key feedstocks for bioenergy.
• Accurate quantification of these compounds is crucial for genetic studies in green microalgae.
• Current starch quantification methods are often inaccurate or expensive.

Purpose of the Study:

• To develop a simple, accurate, and low-cost procedure for routine starch quantification in green microalgae.
• To optimize the method for small culture volumes.
• To provide a standardized protocol for comparative studies.

Main Methods:

• Developed a procedure involving quick-freezing, pigment solvent extraction, autoclaving, and double glucoamylase digestion.
• Quantified starch by measuring released glucose using the dinitrosalicylic acid reagent.
• Validated accuracy using cornstarch as internal controls (102.3 ± 2.5%).

Main Results:

• A simple, accurate, and low-cost starch quantification procedure was successfully developed.
• The method is suitable for small volumes of green microalgal cultures.
• High accuracy (102.3 ± 2.5%) was demonstrated.

Conclusions:

• The new approach addresses limitations of existing methods, offering improved accuracy and reduced cost.
• Enables reliable comparison of genetic and cultivation manipulations across different laboratories.
• Facilitates advancements in microalgal lipid productivity research.