草木质素中木质素-碳水化合物复合物含量与快速喷雾臭氧分解产酚醛的关系

IF 4.3 Q2 ENGINEERING, CHEMICAL ACS Engineering Au Pub Date : 2022-12-19 DOI:10.1021/acsengineeringau.2c00041
Steffan Green, Thomas Binder, Erik Hagberg and Bala Subramaniam*, 
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摘要

我们提供了强有力的证据,证明在草木质素的快速臭氧分解过程中选择性释放的酚醛(香兰素和对羟基苯甲醛,pHB)的量与这些木质素中存在的木质素-碳水化合物复合物的未取代芳基碳有关。在玉米秸秆中的乙酰溶剂化木质素的情况下,我们观察到香兰素和pHB的稳定产量(累积为初始木质素的~5wt%)。我们展示了木质素在喷雾反应器中在环境温度和压力下的连续臭氧分解。与此形成鲜明对比的是,玉米芯中乙酰溶剂木质素的类似臭氧分解导致香兰素和pHB的总产量(~10wt%)增加了两倍。1H–13C杂核单量子相干(HSQC)核磁共振结构分析表明,木质素-碳水化合物复合物中未取代芳基碳的信号与喷雾臭氧分解产生的酚醛定量相关。在玉米芯和玉米秸秆木质素(SL)的HSQC光谱中,对应于香豆素和阿魏酸酯的积分峰体积的比率分别为2.4和2.0。与玉米SL相比,玉米棒木质素的pHB增加了2.3倍,香兰素生产率增加了1.8倍。考虑到这些草木质素来源的美国木质素年产能约为6000万公吨,这些调味剂的价值创造潜力保守地为每年约5000万美元,仅占木质素的10%。这些对结构/产品相关性和喷雾反应器特性的新见解为开发可行的草木质素定价技术提供了合理的指导。
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Correlation between Lignin–Carbohydrate Complex Content in Grass Lignins and Phenolic Aldehyde Production by Rapid Spray Ozonolysis

We provide strong evidence that the amounts of phenolic aldehydes (vanillin and p-hydroxybenzaldehyde, pHB) selectively released during rapid ozonolysis of grass lignins are correlated with the unsubstituted aryl carbons of lignin–carbohydrate complexes present in these lignins. In the case of acetosolv lignin from corn stover, we observed a steady yield of vanillin and pHB (cumulatively ∼5 wt % of the initial lignin). We demonstrate the continuous ozonolysis of the lignin in a spray reactor at ambient temperature and pressure. In sharp contrast, similar ozonolysis of acetosolv lignin from corn cobs resulted in a twofold increase in the combined yield (∼10 wt %) of vanillin and pHB. Structural analysis with 1H–13C heteronuclear single quantum coherence (HSQC) nuclear magnetic resonance revealed that signals assigned to unsubstituted aryl carbons of lignin–carbohydrate complexes are quantitatively correlated to phenolic aldehyde production from spray ozonolysis. The ratios of the integrated peak volumes corresponding to coumarates and ferulates in the HSQC spectra of cob and corn stover lignins (SLs) are 2.4 and 2.0, respectively. These ratios are nearly identical to the observed 2.3-fold increase in pHB and 1.8-fold increase in vanillin production rates from corn cob lignin compared to corn SL. Considering that the annual U.S. lignin capacity from these grass lignin sources is ∼60 million MT, the value creation potential from these flavoring agents is conservatively ∼$50 million annually from just 10% of the lignin. These new insights into structure/product correlation and spray reactor characteristics provide rational guidance for developing viable technologies to valorize grass lignins.

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ACS Engineering Au
ACS Engineering Au 化学工程技术-
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期刊介绍: )ACS Engineering Au is an open access journal that reports significant advances in chemical engineering applied chemistry and energy covering fundamentals processes and products. The journal's broad scope includes experimental theoretical mathematical computational chemical and physical research from academic and industrial settings. Short letters comprehensive articles reviews and perspectives are welcome on topics that include:Fundamental research in such areas as thermodynamics transport phenomena (flow mixing mass & heat transfer) chemical reaction kinetics and engineering catalysis separations interfacial phenomena and materialsProcess design development and intensification (e.g. process technologies for chemicals and materials synthesis and design methods process intensification multiphase reactors scale-up systems analysis process control data correlation schemes modeling machine learning Artificial Intelligence)Product research and development involving chemical and engineering aspects (e.g. catalysts plastics elastomers fibers adhesives coatings paper membranes lubricants ceramics aerosols fluidic devices intensified process equipment)Energy and fuels (e.g. pre-treatment processing and utilization of renewable energy resources; processing and utilization of fuels; properties and structure or molecular composition of both raw fuels and refined products; fuel cells hydrogen batteries; photochemical fuel and energy production; decarbonization; electrification; microwave; cavitation)Measurement techniques computational models and data on thermo-physical thermodynamic and transport properties of materials and phase equilibrium behaviorNew methods models and tools (e.g. real-time data analytics multi-scale models physics informed machine learning models machine learning enhanced physics-based models soft sensors high-performance computing)
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