Bader Araceli N, Rizza Lara Sánchez, De Marco María A, Lando Ana P, Martínez-Noël Giselle M A, Consolo Verónica F, Curatti Leonardo
Instituto de Investigaciones en Biodiversidad y Biotecnología and Fundación para Investigaciones Biológicas Aplicadas, Mar del Plata, Buenos Aires, Argentina.
Universidad Federal de Paraná - Centro Politécnico. Departamento de Bioquímica y Biología Molecular, Curitiba, Paraná, Brasil.
Bio Protoc. 2024 Dec 5;14(23):e5121. doi: 10.21769/BioProtoc.5121.
Carbohydrates serve crucial functions in most living cells, encompassing structural and metabolic roles. Within the realms of plant and algal biology, carbohydrate biosynthesis and partitioning play pivotal roles in growth, development, stress physiology, and various practical applications. These applications span diverse fields, including the food and feed industry, bioenergetics (biofuels), and environmental management. However, existing methods for carbohydrate determination tend to be costly and time-intensive. In response to that, we propose a novel approach to assess carbohydrate partitioning from small samples. This method leverages the differential solubility of various fractions, including soluble sugars, starch, and structural polymers (such as cellulose). After fractionation, a straightforward spectrophotometric analysis allows for the quantification of sugars. Key features • We developed a cost-effective method to assess carbohydrate distribution in small samples based on differential solubility and spectrophotometry. • Efficient carbohydrate partitioning methods reduce time and effort, especially for large sample sets. • Cost-effective carbohydrate analysis method reduces expenses, promotes accessibility, and encourages adoption in research and quality control. • Analysis of small samples from microalgal and seedlings has wide applicability in scientific and technological research.
碳水化合物在大多数活细胞中发挥着关键作用，包括结构和代谢方面的作用。在植物和藻类生物学领域，碳水化合物的生物合成和分配在生长、发育、胁迫生理学以及各种实际应用中起着关键作用。这些应用涵盖多个不同领域，包括食品和饲料工业、生物能源（生物燃料）以及环境管理。然而，现有的碳水化合物测定方法往往成本高昂且耗时。对此，我们提出了一种从小样本评估碳水化合物分配的新方法。该方法利用了各种组分（包括可溶性糖、淀粉和结构聚合物（如纤维素））的不同溶解度。分馏后，简单的分光光度分析即可对糖类进行定量。关键特性 • 我们基于不同溶解度和分光光度法开发了一种经济高效的方法来评估小样本中的碳水化合物分布。 • 高效的碳水化合物分配方法减少了时间和精力，特别是对于大量样本集。 • 经济高效的碳水化合物分析方法降低了成本，提高了可及性，并鼓励在研究和质量控制中采用。 • 对微藻和幼苗小样本的分析在科技研究中有广泛的适用性。
