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Quantification of glucose, xylose, arabinose, furfural, and HMF in corncob hydrolysate by HPLC-PDA-ELSD

机译:HPLC-PDA-ELSD定量分析玉米芯水解产物中的葡萄糖,木糖,阿拉伯糖,糠醛和HMF

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摘要

Lignocellulose and other carbohydrates are being studied extensively as potential renewable carbon sources for liquid biofuels and other valuable chemicals. In the present study, a simple, sensitive, selective, and reliable HPLC method using a photodiode array (PDA) detector and an evaporative light scattering detector (ELSD) was developed for the simultaneous determination of important sugars (d(+)-cellobiose, glucose, xylose, and arabinose), furfural and 5-hydroxymethylfurfural (5-HMF) in lignocellulose hydrolysate. The analysis was carried out on an Aminex HPX-87H column (250 mm × 4.6 mm, 5 μm particle size). Ultra-pure water with 0.00035 M H _2SO _4 was used as the mobile phase with a flow rate of 0.6 mL/min. The temperature of the ELSD drift tube was kept at 50 °C, the carrier gas pressure was 350 kPa, and the gain was set at 7. Furfural and 5-HMF were quantified on a PDA detector at 275 nm and 284 nm, respectively. The sugar concentrations were determined by ELSD. This method was validated for accuracy and precision. The regression equation revealed a good linear relationship (r ~2 = 0.9986 ± 0.0012) within the test ranges. The method showed good reproducibility for the quantification of six analytes in corncob hydrolysate, with intra- and inter-day variations less than 1.12%. This method is also convenient because it allows the rapid analysis of the primary products of biomass hydrolysis and carbohydrate degradation.
机译:木质纤维素和其他碳水化合物已被广泛研究作为液体生物燃料和其他有价值的化学物质的潜在可再生碳源。在本研究中,开发了一种使用光电二极管阵列(PDA)检测器和蒸发光散射检测器(ELSD)的简单,灵敏,选择性和可靠的HPLC方法,用于同时测定重要的糖类(d(+)-纤维二糖,葡萄糖,木糖和阿拉伯糖),糠醛和5-羟甲基糠醛(5-HMF)在木质纤维素水解物中的含量。分析在Aminex HPX-87H色谱柱(250 mm×4.6 mm,粒径5μm)上进行。将具有0.00035 M H _2SO _4的超纯水用作流动相,流速为0.6 mL / min。 ELSD漂移管的温度保持在50°C,载气压力为350 kPa,增益设置为7。糠醛和5-HMF在PDA检测器上分别在275 nm和284 nm处定量。糖浓度通过ELSD确定。验证了该方法的准确性和准确性。回归方程在测试范围内显示出良好的线性关系(r〜2 = 0.9986±0.0012)。该方法对玉米芯水解产物中的六种分析物定量分析具有良好的重现性,日内和日间变化小于1.12%。该方法也很方便,因为它可以快速分析生物质水解和碳水化合物降解的主要产物。

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