Supercritical fluid extraction of bacterial and archaeal lipid biomarkers from anaerobically digested sludge.

Supercritical fluid extraction of bacterial and archaeal lipid biomarkers from anaerobically digested sludge.
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DOI:
10.3390/ijms13033022
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发表时间:
2012
影响因子:
5.6
通讯作者:
Daimon H
Daimon H
中科院分区:
生物学2区
文献类型:
--
作者:
Hanif M;Atsuta Y;Fujie K;Daimon H

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采用超临界流体萃取(SFE)技术对厌氧消化污泥中的细菌呼吸醌(RQ)、细菌磷脂脂肪酸(PLFA)和古细菌磷脂醚脂(PLEL)进行了分析。使用超高效液相色谱法(UPLC)测定细菌RQ。采用气相色谱-质谱联用仪(GC-MS)同时测定了细菌PLFA和古细菌PLEL。压力,温度和改性剂浓度对RQ,PLFA和PLEL的总量的影响进行了研究,通过23个实验,每个变量选择5个设置。通过多响应优化得到的最佳萃取条件为:萃取压力23.6 MPa,萃取温度77.6 °C,改性剂为10.6%(v/v)的甲醇。在厌氧消化污泥中鉴定出39种微生物脂类生物标志物组分。总的来说,与传统的有机溶剂提取相比,SFE方法被证明是更有效,快速和定量的同时提取细菌和古细菌脂质生物标志物。这项工作显示了潜在的应用SFE作为一个常规的方法,在环境评估中使用的脂质生物标志物配置文件的微生物群落结构的综合分析。
Supercritical fluid extraction (SFE) was used in the analysis of bacterial respiratory quinone (RQ), bacterial phospholipid fatty acid (PLFA), and archaeal phospholipid ether lipid (PLEL) from anaerobically digested sludge. Bacterial RQ were determined using ultra performance liquid chromatography (UPLC). Determination of bacterial PLFA and archaeal PLEL was simultaneously performed using gas chromatography-mass spectrometry (GC-MS). The effects of pressure, temperature, and modifier concentration on the total amounts of RQ, PLFA, and PLEL were investigated by 23 experiments with five settings chosen for each variable. The optimal extraction conditions that were obtained through a multiple-response optimization included a pressure of 23.6 MPa, temperature of 77.6 °C, and 10.6% (v/v) of methanol as the modifier. Thirty nine components of microbial lipid biomarkers were identified in the anaerobically digested sludge. Overall, the SFE method proved to be more effective, rapid, and quantitative for simultaneously extracting bacterial and archaeal lipid biomarkers, compared to conventional organic solvent extraction. This work shows the potential application of SFE as a routine method for the comprehensive analysis of microbial community structures in environmental assessments using the lipid biomarkers profile.
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