论文
论文标题: An improved phenol-sulfuric acid method for the quantitative measurement of total carbohydrates in algal biomass
作者: Chen, Wei; Gao, Lei; Song, Lirong; Sommerfeld, Milton; Hu, Qiang
出版刊物: ALGAL RESEARCH-BIOMASS BIOFUELS AND BIOPRODUCTS
出版日期: MAR
出版年份: 2023
卷/期:
DOI: 10.1016/j.algal.2023.102986
论文摘要: Total carbohydrate analysis with phenol-sulfuric acid method is the simplest method among many colorimetric and modern instrument analytical methods. It has great potential to be used as a rapid screening method for characterization of algal biomass for algae-based biofuel research. The reproducibility and accuracy of the conventional phenol-sulfuric method remain to be improved when applied directly to algal biomass. In the present study, several important factors that influenced the colorimetric determination were characterized and methods to eliminate the influences were further developed. Results indicated that system temperature and the addition mode of sulfuric acid and phenol were the key parameters which affected the color development and reproducibility of the conventional methods. A new design using the premixed reagent replacing the individual phenol and sulfuric acid solution solved this problem ideally. The color inferences caused by algal pigments including chlorophylls and carotenoids were quantitatively analyzed. Solutions for reducing overestimation of total carbohydrates were also addressed. In addition, hydrolysis conditions for algae biomass such as type of acids, temperature, and time were also investigated and optimized in this study. The new modified phe-nol-sulfuric acid method has been shown to be more reproducible and reliable than the conventional methods for the analysis of total carbohydrates from algal biomass.
== 实验室与学会 ==
  • == 实验室与学会 ==
  • 淡水生态与生物技术国家重点实验室
  • 中国科学院藻类生物学重点实验室
  • 农业部淡水养殖病害防治重点实验室
  • 武汉白暨豚保护基金会
  • 湖北省海洋湖沼学会
  • 中国动物学会原生动物学分会
  • 中国动物学会斑马鱼分会
  • 湖北省暨武汉动物学会
  • 中国水产学会鱼病学专业委员会
  • 中国鱼类学会
== 平台建设 ==
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  • “一带一路”海域赤潮数据库
  • 国家水生生物种质资源库
  • 国家斑马鱼资源中心
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  • 中国科学院水生生物研究所分析测试中心
  • 中国科学院超级计算武汉分中心
  • 水生生物博物馆
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