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首页> 外文期刊>Journal of near infrared spectroscopy >Fourier transform-near infrared spectroscopy in-line monitoring of the enzymatic hydrolysis of starch in rye: water mashes for first-generation bioethanol production
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Fourier transform-near infrared spectroscopy in-line monitoring of the enzymatic hydrolysis of starch in rye: water mashes for first-generation bioethanol production

机译：黑麦中淀粉的酶水解的傅里叶变换-近红外光谱在线监测：用于第一代生物乙醇生产的水water

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摘要

The application described in this paper addresses problems encountered during the large-scale production of ethanol from renewable sources. Bioethanol can be produced from several starchy raw materials (for example, wheat, corn, barley, rye). After hydrolysis to glucose, starch can be converted to ethanol by fermentation. The hydrolysis of starch requires a multi-phase process using different enzymes. The degree of hydrolysis is a critical parameter because it determines the physical and chemical properties of the final products. The aims of this work were to monitor the enzymatic hydrolysis of starch from rye using Fourier-transform near infrared (FT-NIR) spectroscopy and to identify barriers for an industrial-scale application of this technology. The enzymatic hydrolysis of starch from rye was carried out in three steps using commercially available enzymes. A FT-NIR reflectance probe was immersed in the reactor to monitor the different phases of the hydrolysis process. The most significant parameters submitted to the NIR calibration were the percentage of dry matter (%w/v) (as measured by ° Brix) and the concentrations of maltotriose, maltose and glucose (% w/v). Partial least squares calibration models were built using 24 samples and spectra for measuring ° Brix, 32 samples for maltotriose and 48 samples for both maltose and glucose, respectively. The models were considered to be promising in terms of the squared Pearson correlation coefficient (0.89 < R~2 < 0.99) and standard error of estimation (0.12 < SEE< 0.60) and were successfully used in situ to automatically monitor the entire process (0.17 < SEP < 0.45).
机译：本文描述的应用解决了从可再生资源大规模生产乙醇过程中遇到的问题。可以从几种淀粉质原料（例如小麦，玉米，大麦，黑麦）生产生物乙醇。水解成葡萄糖后，淀粉可以通过发酵转化为乙醇。淀粉的水解需要使用不同酶的多相过程。水解度是一个关键参数，因为它决定了最终产品的物理和化学性质。这项工作的目的是使用傅立叶变换近红外（FT-NIR）光谱技术监测黑麦中淀粉的酶水解作用，并确定该技术在工业规模应用中的障碍。使用市售酶在三个步骤中从黑麦进行淀粉的酶促水解。将FT-NIR反射率探头浸入反应器中，以监测水解过程的不同阶段。提交给NIR校准的最重要的参数是干物质的百分比（％w / v）（以°Brix表示）以及麦芽三糖，麦芽糖和葡萄糖的浓度（％w / v）。使用24个样品和用于测量°Brix的光谱，32个麦芽三糖样品和48个麦芽糖和葡萄糖样品建立了偏最小二乘校准模型。就皮尔逊相关系数的平方（0.89

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