The chemical method was used to determine the main components of 71 different kinds of corn straw (such as,holocellulose,cellulose,hemicellulose,lignin,extract and ash etc.) and the spectra of the corresponding samples were collected by DA-7250 near infrared(NIR) spectroscopy.The prediction models for the main components of corn stalk and storage in Jilin area were established.The coefficients of determination(R2) between the predicted NIR values and those obtained from traditional chemical methods was 0.838 3～0.918 7.The 6 models derived from corn straw spectra were very precise.The predictions were very good,absolute deviation was in the range of-2 ％ ～ 1％,-5 ％ ～ 1％,-4 ％ ～ 3 ％,-1％ ～ 2 ％,-1％ ～ 2 ％ and-1 ％ ～ 2 ％,respectively.Overall,the above mentioned model can provide a reference for the quick evaluation of corn stalk raw material of the biomass energy enterprise in Jilin.%采用化学法测定71种不同玉米秸秆样品的w(综纤维素)、w(纤维素)、w(半纤维素)、w(木质素)、w(抽出物)及w(灰分),并用DA-7250近红外光谱仪采集相应样品的光谱.利用The Unscrambler9.8多元数学软件,建立了吉林地区主要种植的玉米秸秆及仓储打包玉米秸秆的主要成分化学值与其近红外光谱数据之间的数学模型.模型的决定系数(R2)在0.838 3～0.918 7.采用6个模型分别对样品进行预测,其分析数据的绝对偏差范围分别为-2％～1％、-5％～1％、-4％～3％、-1％～2％、-1％～2％、-1％～2％.结果表明,上述模型有利于为吉林地区生物质能企业的玉米秸秆原料快速评价提供数据参考.
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