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Quantification of Lignin and Its Structural Featuresin Plant Biomass Using 13C Lignin as Internal Standardfor Pyrolysis-GC-SIM-MS

机译:木质素的定量及其结构特征13C木质素作为内标的植物生物量中的应用用于热解-GC-SIM-MS

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摘要

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 13C lignin was used as internal standard (IS) for lignin quantification via analytical pyrolysis coupled to gas chromatography with mass-spectrometric 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, 12C and 13C lignin were isolated from nonlabeled and uniformly 13C 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, 13C-IS based lignin quantification by py-GC-SIM-MS was validated in reconstituted biomass model systems with known contents of the 12C lignin analogue and wasshown to be extremely accurate (>99.9%, R2 > 0.999)andprecise (RSD < 1.5%). Third, 13C-IS based lignin quantificationwas applied to four common poaceous biomass sources (wheat straw,barley straw, corn stover, and sugar cane bagasse), and lignin contentswere in good agreement with the total gravimetrically determined lignincontents. Our robust method proves to be a promising alternative forthe high-throughput quantification of lignin in milled biomass samplesdirectly and simultaneously provides a direct insight into the structuralfeatures of lignin.
机译:仅通过对所涉及分子的含量和结构特征进行准确分析,才能在分子水平上理解植物生物量抗拒的基本机制。然而,木质素的当前定量主要基于硫酸水解后的非特异性重量分析。因此,我们的研究针对特定的木质素定量及其结构特征的同时表征。迄今为止,首次使用聚合的 13 C木质素作为内标(IS),通过分析热解与气相色谱联用,在选定的离子监测模式下通过质谱检测进行定量分析,从而对木质素进行定量。 GC-SIM-MS)。另外,确定并应用了获得的各种热解产物的相对响应因子(RRF)。首先,分别从未标记和统一标记的 13 C小麦秸秆中分离出 12 C和 13 C木质素,并以异核单量子相干为特征(HSQC),核磁共振(NMR)和py-GC / MS。发现这两种木质素分离物具有相同的结构。其次,在已知 12 C木质素类似物含量的重构生物量模型系统中,通过py-GC-SIM-MS对基于 13 C-IS的木质素进行了定量验证。显示非常准确(> 99.9%,R 2 13 C-IS的木质素定量被应用于四种常见的含碳生物质资源(小麦秸秆,大麦秸秆,玉米秸秆和甘蔗渣)和木质素含量与总重量法测定的木质素高度吻合内容。我们可靠的方法被证明是一种有前途的替代方法研磨生物质样品中木质素的高通量定量直接并同时提供对结构的直接见解木质素的特点。

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