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Quantification of Lignin and Its Structural Features in Plant Biomass Using C-13 Lignin as Internal Standard for Pyrolysis-GC-SIM-MS

机译:用C-13木质素作为植物生物质中木质素的定量及其结构特征,作为热解 - GC-SIM-MS的内标

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Understanding the mechanisms underlying plant biomass recalcitrance at the molecular level can only be achieved by accurate analyses Of both the content and structural features of the molecules involved. Current quantification of lignin is, however, majorly based on unspecific gravimetric analysis after sulfuric acid hydrolysis. Hence, our research aimed at specific lignin quantification with concurrent Characterization of its structural features. Hereto, for the first time, a polymeric C-13 lignin was used as internal standard (IS) for lignin quantification via analytical pyrolysis coupled to gas chromatography with mass-spectrorrietric detection in selected ion monitoring mode (py-GC-SIM-MS). In addition, relative response factors (RRFs) for the various pyrolysis products obtained were determined and applied. First, C-12 and C-13 lignin were isolated from nonlabeled and uniformly C-13 labeled wheat straw, respectively, and characterized by heteronuclear single quantum coherence (HSQC), nuclear magnetic resonance (NMR), and py-GC/MS. The two lignin isolates were found to have identical structures. Second, C-13-IS based lignin quantification by py-GC-SIM-MS was validated in reconstituted biomass model systems with known contents of the C-12 lignin analogue and was shown to be extremely accurate (>99.9%, R-2>0.999) and precise (RSD < 1.5%). Third, C-13-IS based lignin quantification was applied to four common poaceous biomass sources (wheat straw, barley straw, corn stover, and sugar Cane bagasse), and lignin contents were in good agreement with the total gravimetrically determined lignin contents. Our robust method proves to be a promising alternative for the high-throughput quantification of lignin in milled biomass samples directly and simultaneously provides a direct insight into the structural features of lignin.
机译:理解植物生物质批量在分子水平下的机制只能通过精确分析所涉及的分子的含量和结构特征来实现。然而,目前的木质素定量主要是基于硫酸水解后的非特异性重量分析。因此,我们的研究旨在具有特异性木质素量化,其结构特征的同时表征。本着首次使用聚合物C-13木质素作为木质素定量通过分析热解,与选定的离子监测模式(PY-GC-SIM-MS)中的质量差异检测偶联的天然素热解来用于木质素定量的内标(IS)。 。另外,确定并施加得到的各种热解产物的相对响应因子(RRF)。首先,C-12和C-13木质素分别分别与非标签和均匀的C-13标记的小麦秸秆分离,并通过异核单量子相干(HSQC),核磁共振(NMR)和PY-GC / MS为特征。发现两个木质素分离物具有相同的结构。其次,C-13-是基于基于Lignin通过Py-GC-SIM-MS定量的验证了具有C-12木质素模拟的已知内容物的重构生物量模型系统中,并且被证明是非常准确的(> 99.9%,R-2 > 0.999)和精确(RSD <1.5%)。第三,将C-13 - 基于木质素定量应用于四种常见的POACEUCE生物量(小麦秸秆,大麦秸秆,玉米秸秆和甘蔗队),并且木质素含量与总重量异常确定的木质素含量吻合良好。我们的稳健方法证明是直接研磨生物质样品中木质素的高通量定量的有希望的替代方案,同时提供直接洞察木质素的结构特征。

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  • 来源
    《Analytical chemistry》 |2017年第20期|共10页
  • 作者单位

    Wageningen Univ &

    Res Lab Food Chem Bornse Weilanden 9 NL-6708 WG Wageningen Netherlands;

    IsoLife Bv Droevendaalsesteeg 1 NL-6708 PB Wageningen Netherlands;

    Wageningen Univ &

    Res Lab Food Chem Bornse Weilanden 9 NL-6708 WG Wageningen Netherlands;

    Wageningen Univ &

    Res Lab Food Chem Bornse Weilanden 9 NL-6708 WG Wageningen Netherlands;

    Wageningen Univ &

    Res Lab Food Chem Bornse Weilanden 9 NL-6708 WG Wageningen Netherlands;

    Wageningen Univ &

    Res Lab Food Chem Bornse Weilanden 9 NL-6708 WG Wageningen Netherlands;

    Wageningen Univ &

    Res Lab Food Chem Bornse Weilanden 9 NL-6708 WG Wageningen Netherlands;

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  • 正文语种 eng
  • 中图分类 分析化学;
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