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利用气相色谱-质谱联用仪对枯草芽孢杆菌HSO 121产生的表面活性素异构体进行定量分析。

Quantitative analyses of the isoforms of surfactin produced by Bacillus subtilis HSO 121 using GC-MS.

作者信息

Zhao Yue, Yang Shi Zhong, Mu Bo Zhong

机构信息

State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai, PR China.

出版信息

Anal Sci. 2012;28(8):789-93. doi: 10.2116/analsci.28.789.

Abstract

Lipopeptide is one of the most important biosurfactants. The content of each isoform of a lipopeptide is crucial to the study of the properties of metabolites as well as the biological and biochemical characters of microbes. However, this information has not been accurately provided by the current analysis method. A new method for the quantitative determination of each isoform in the surfactin family has been established. The surfactin was firstly hydrolyzed in an acid solution at 90°C for 20 h, dried and then treated with bis(trimethylsilyl)trifluoroacetamide at 60°C for 20 min. The derived hydrolysates were then analyzed by GC-MS for a quantitative determination via comparison with working curves made with amino acids. GC-MS analyses show that the nine isoforms with an amount of 4.80 × 10(-7) mol (493 µg) in a 500 µg surfactin sample were detected, in which the mole fractions of surfactin isoforms with different fatty acid chains were 0.32% (n C(12)), 4.89% (iso C(13)), 6.27% (anteiso C(13)), 23.05% (iso C(14)), 8.95% (n C(14)), 17.69% (iso C(15)), 38.69% (anteiso C(15)), 0.07% (iso C(16)), and 0.07% (n C(16)), respectively. This approach can be applied to quantitative analyses for other families of lipopeptides as long as the sequence of amino acid residues in the peptide is determined.

摘要

脂肽是最重要的生物表面活性剂之一。脂肽各同工型的含量对于代谢产物性质以及微生物的生物学和生化特性研究至关重要。然而,当前的分析方法尚未准确提供此类信息。已建立一种定量测定表面活性素家族各同工型的新方法。首先将表面活性素在90℃的酸性溶液中水解20小时,干燥后于60℃用双(三甲基硅基)三氟乙酰胺处理20分钟。然后通过气相色谱 - 质谱联用仪(GC - MS)对衍生的水解产物进行分析,通过与用氨基酸绘制的工作曲线比较进行定量测定。GC - MS分析表明,在500μg表面活性素样品中检测到九种同工型,其含量为4.80×10⁻⁷mol(493μg),其中不同脂肪酸链的表面活性素同工型的摩尔分数分别为0.32%(n C₁₂)、4.89%(异C₁₃)、6.27%(反异C₁₃)、23.05%(异C₁₄)、8.95%(n C₁₄)、17.69%(异C₁₅)、38.69%(反异C₁₅)、0.07%(异C₁₆)和0.07%(n C₁₆)。只要确定了肽中氨基酸残基的序列,该方法就可应用于其他脂肽家族的定量分析。

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