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

Autor: Chia-Sheng Chiu, Ching-Nen Nathan Chen, Tze Ching Yong
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: Botanical Studies, Vol 60, Iss 1, Pp 1-6 (2019)
Botanical Studies
ISSN: 1999-3110
DOI: 10.1186/s40529-019-0273-y
Popis: BackgroundLipids and starch are important feedstocks for bioenergy production. Genetic studies on the biosyntheses of lipids and starch in green microalgae have drawn significant attention recently. In these studies, quantifications of lipids and starch are required to clarify the causal effects. While lipids are assayed with similar procedures worldwide, starch in green microalgae has been measured using various methods with deficiencies in accuracy or high cost.ResultsA simple, accurate and low cost procedure for routine quantification of starch in green microalgae was developed. This procedure consists of quick-freezing of the cells, solvent extraction of the pigments, 134 °C autoclaving and glucoamylase double digestions of starch, followed by a glucose assay using the dinitrosalicylic acid reagent. This procedure was optimized to quantify starch in small volumes of green microalgal culture. The accuracy of starch quantification using this procedure was 102.3 ± 2.5% (mean ± SD, n = 6), as indicated by using cornstarch as internal controls. The working protocol is available athttp://dx.doi.org/10.17504/protocols.io.2mhgc36.ConclusionsThis quantification approach overcomes the current problems in the starch quantification of green microalgae such as inaccuracy and high cost. This approach would provide an opportunity to compare the effects of genetic, physiological or cultivation manipulations on the productivity of starch in green microalgae elucidated in different labs, which is essential in the enhancement of lipid productivity studies in microalgae.
Databáze: OpenAIRE
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