首页> 外文期刊>Journal of Bioprocess Engineering and Biorefinery >Quantitative 2D HSQC NMR Analysis of Mixed Wood Sugars in Hemicellulosic Hydrolysate Fermentation Broth
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Quantitative 2D HSQC NMR Analysis of Mixed Wood Sugars in Hemicellulosic Hydrolysate Fermentation Broth

机译:半纤维素水解液发酵液中混合木糖的二维二维HSQC NMR分析

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摘要

Due to the complex composition of lignocellulosic feedstocks accurate quantification of the fermentable sugars can be challenging. These types of samples generally contain a mixture of 5- and 6-carbon sugars and while high performance liquid chromatography (HPLC) and nuclear magnetic resonance (NMR) spectroscopy have been used to quantify concentrations of sugars in hemicellulosic extracts and hydrolysates both of these methods had problems. In the case of HPLC the carbohydrate column had a relatively short lifespan when running these types of samples. In the case of proton NMR (~1H-NMR) the close proximity of the various peaks corresponding to the anomeric protons for the different sugars caused complications. Even more problematic was when the samples were not completely hydrolyzed as the oligosaccharides generate peaks with very similar resonance frequencies to those of the monosaccharides making integration difficult. In order to quantify the sugar concentrations of samples taken during the fermentation of dilute acid hydrolyzed hemicellulosic extracts a two dimensional heteronuclear single quantum coherence (2D-HSQC) technique was used. The addition of the ~(13)C axis resulted in almost no overlapping of the peaks between the various carbohydrates. This makes integrating these peaks less problematic and improves the accuracy of the carbohydrate analysis in the fermentation samples. In addition to being able to quantify the sugars, the ethanol concentrations which were previously determined using a separate gas chromatography method can be also be determined from the same NMR sample which reduced the number of samples that needed to be prepared.
机译:由于木质纤维素原料的复杂组成,对可发酵糖的准确定量可能具有挑战性。这些类型的样品通常包含5和6碳糖的混合物,而高效液相色谱(HPLC)和核磁共振(NMR)光谱已用于定量半纤维素提取物中糖的浓度并水解这两种方法有问题。对于HPLC,运行这些类型的样品时,碳水化合物色谱柱的使用寿命相对较短。在质子NMR(〜1H-NMR)的情况下,对应于不同糖的异头质子的各个峰的紧密接近导致了复杂性。当样品没有完全水解时,问题就更加棘手,因为寡糖产生的峰与单糖的共振频率非常相似,从而使积分变得困难。为了量化在稀酸水解半纤维素提取物发酵过程中采集的样品中的糖浓度,使用了二维异核单量子相干(2D-HSQC)技术。 〜(13)C轴的添加导致各种碳水化合物之间的峰几乎没有重叠。这使得整合这些峰的问题减少了,并提高了发酵样品中碳水化合物分析的准确性。除了能够定量糖之外,还可以从同一NMR样品中确定先前使用单独的气相色谱法测定的乙醇浓度,从而减少了需要制备的样品数量。

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