Laboratory of Agroindustrial Processes Engineering (LAPE), Federal University of Santa Maria, Santa Maria, Brazil.
Chemical Engineering Department, Federal University of Santa Maria, Santa Maria, Brazil.
Environ Technol. 2023 Jul-Aug;44(19):2969-2982. doi: 10.1080/09593330.2022.2048088. Epub 2022 Mar 8.
In response to the intensification of eco-friendly routes as a strategy to access compounds of interest, extraction based on hydrothermal technologies is an efficient method to obtain high yields of compounds present in lignocellulosic materials. Accordingly, this study investigated the effects of the combination of ultrasonic pretreatments (energy density, 1.23 × 10-37.6 × 10 J/cm; reaction time, 15 and 60 min) and subcritical water hydrolysis (SWH) (temperature, 220°C; flow rate, 10-30 mL/min; and reaction time, 0.5-15 min) on sugar yield profile from residual biomass of rice, soybean, and pecan. A characterization of the sugars present in the hydrolyzed solutions by high-performance liquid chromatography (HPLC) and a physicochemical evaluation of biomasses by Fourier-transform infrared spectroscopy (FT-IR) was performed. The highest yield reported were 23.8/100 g biomass, 14.4/100 g biomass, and 6.0/100 g biomass for pecan shell, rice shell, and soybean straw, respectively. Cellobiose, glucose, xylose, and arabinose were quantified by the HPLC, as well as inhibitors and organic acids. FT-IR indicated the compositions of the fresh and pretreated samples. Appropriately, the combined application of ultrasonic and SWH methods supported the valorization and optimization of high potential materials generated in agricultural processing.
为了加强环保路线作为获取目标化合物的策略,基于水热技术的提取是从木质纤维素材料中获得高产量目标化合物的有效方法。因此,本研究调查了超声预处理(能量密度,1.23×10-37.6×10 J/cm;反应时间,15 和 60 min)和亚临界水水解(SWH)(温度,220°C;流速,10-30 mL/min;反应时间,0.5-15 min)联合作用对残余生物质中糖产量的影响水稻、大豆和山核桃。通过高效液相色谱法(HPLC)对水解溶液中的糖进行了表征,并通过傅里叶变换红外光谱法(FT-IR)对生物质进行了物理化学评价。山核桃壳、稻壳和大豆秸秆的最高产率分别为 23.8/100 g 生物质、14.4/100 g 生物质和 6.0/100 g 生物质。通过 HPLC 定量了纤维二糖、葡萄糖、木糖和阿拉伯糖以及抑制剂和有机酸。FT-IR 表明了新鲜和预处理样品的组成。因此,超声和 SWH 方法的联合应用支持了农业加工中产生的高潜力材料的增值和优化。