利用近红外反射光谱法快速灵敏地评价生物乙醇生产中的谷物。

A rapid and sensitive method for the evaluation of cereal grains in bioethanol production using near infrared reflectance spectroscopy.

机构信息

University of Hohenheim, Institute of Food Science and Biotechnology, Department of Fermentation Technology, Stuttgart, Germany.

出版信息

Bioresour Technol. 2011 Feb;102(3):2834-41. doi: 10.1016/j.biortech.2010.10.058. Epub 2010 Oct 20.

DOI:10.1016/j.biortech.2010.10.058

PMID:21071215

Abstract

The potential of near infrared spectroscopy (NIRS) for determining fermentable substance and also ethanol yield in wheat, rye and triticale grains as a feedstock for fuel ethanol production was investigated. The total sample set contained 480 samples of 10 types of wheat, 24 types of triticale and 6 types of rye, which were grown on 10 locations in Germany from 2006 to 2008. Samples were scanned by NIRS as whole or ground grains, and their reference values regressed against different spectral transformations by partial least squares regression (PLS-1). Ground grains were scanned on a dispersive NIR-Spectrometer. Whole grains were scanned on a diode array NIR-Spectrometer. Principal Component Analysis (PCA) revealed that samples could be classified by crop season, growth location and species. It is shown that near infrared spectroscopy is an appropriate and useful tool for prediction of biofuel yield for both industry and research.

摘要

研究了近红外光谱（NIRS）在确定小麦、黑麦和小黑麦谷物中可发酵物质以及乙醇产量方面的潜力，这些谷物是生产燃料乙醇的原料。总样本集包含了 480 个样本，这些样本来自于 2006 年至 2008 年德国的 10 个地点种植的 10 种小麦、24 种小黑麦和 6 种黑麦。样本通过 NIRS 进行全谷物或粉碎谷物扫描，并通过偏最小二乘回归（PLS-1）对不同光谱变换进行参考值回归。粉碎的谷物在分散式近红外光谱仪上进行扫描，全谷物在二极管阵列近红外光谱仪上进行扫描。主成分分析（PCA）表明，可以根据作物季节、生长地点和品种对样本进行分类。结果表明，近红外光谱是一种适合且有用的工具，可用于预测工业和研究用生物燃料的产量。