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Rapid Biomass Quality Determination of Corn Stover Using Near-Infrared Reflectance Spectroscopy

机译:近红外反射光谱法快速测定玉米秸秆的生物量质量

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Near-infrared reflectance spectroscopy (NIRS) has been used extensively in the forage industry for rapid measurement of forage constituents and could be useful for determining quality of biomass feedstocks at the point of delivery. In previous work, we developed an assay that partitions feedstock carbohydrates based on their availability to be converted to fermentable sugars, including non-structural carbohydrates (CN), biochemically available carbohydrates (CB) with an associated first-order availability rate constant (kB), and unavailable carbohydrates (C U). Additional quality parameters measured included neutral detergent lignin (NDL), total available carbohydrates (CA), and total carbohydrates (CT). We evaluated the variability of biomass quality parameters in a set of corn stover samples and developed calibration equations for determining parameter values using NIRS. Fifty-two corn stover samples harvested in Iowa and Wisconsin in 2005 and 2006 were analyzed using a high-throughput assay for determining feedstock quality for biochemical conversion. Non-structural carbohydrates ranged from 84 to 155 g kg−1 dry matter (DM); CB ranged from 354 to 557 g kg−1 DM; kB ranged from 0.199 to 0.330 h−1; CA ranged from 463 to 699 g kg−1 DM, and NDL ranged from 32 to 74 g kg−1 DM. Significant differences (P < 0.0001) among samples were observed for all parameters, except kB. Near-infrared reflectance spectroscopy calibration equations were developed for CN, CB, CA, C U, CT, and NDL. It was not possible to generate a meaningful calibration equation for kB. There is significant variability within the corn stover population for several key quality-related carbohydrate and lignin constituents which can be predicted reliably using NIRS.
机译:近红外反射光谱法(NIRS)已在饲料工业中广泛用于快速测量饲料成分,对于确定交货时生物质原料的质量可能有用。在先前的工作中,我们开发了一种根据进料碳水化合物的可用性进行划分的方法,以将其转换为可发酵糖,包括非结构性碳水化合物(CN),可生物利用的碳水化合物(CB)和相关的一阶可用率常数(kB)以及不可用的碳水化合物(CU)。测得的其他质量参数包括中性洗涤剂木质素(NDL),总有效碳水化合物(CA)和总碳水化合物(CT)。我们评估了一套玉米秸秆样品中生物质质量参数的变异性,并开发了用于使用NIRS确定参数值的校准方程式。使用高通量分析法对2005年和2006年在爱荷华州和威斯康星州收获的52个玉米秸秆样品进行了分析,以确定生化转化的原料质量。非结构性碳水化合物的含量范围为84至155 g kg-1干物质(DM); CB范围从354到557 g kg-1 DM; kB范围从0.199到0.330 h-1; CA范围从463到699 g·kg-1 DM,NDL范围从32到74·g·kg-1 DM。除kB外,所有参数的样本间均存在显着差异(P <0.0001)。针对CN,CB,CA,CU,CT和NDL建立了近红外反射光谱校正方程式。不可能为kB生成有意义的校准方程式。玉米秸秆群体中某些关键的与质量相关的碳水化合物和木质素成分存在显着差异,可以使用NIRS可靠地预测这些差异。

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