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| 基于近红外光谱法快速测定秸秆堆腐过程中纤维素、半纤维素和木质素含量的研究 |
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任兰天1,2,3, 唐飞2, 邵庆勤1, 宋长刚2, 刘庆2, 梅艳艳2, 张从军2
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| (1.安徽科技学院, 安徽 凤阳 233100;2.安徽莱姆佳生物科技股份有限公司/农业部生物有机肥创制重点实验室, 安徽 蚌埠 233400;3.中国农业大学/国家能源非粮生物质原料研发中心, 北京 100193) |
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| 摘要: |
| 探索建立秸秆化学成分的近红外快速准确检测模型，将有助于秸秆腐熟程度判定及秸秆利用产业在线控制。本研究利用添加堆腐剂对小麦秸秆进行腐熟试验，以腐熟过程中的小麦秸秆样品为研究对象，利用NIRS构建快速检测秸秆主要成分含量的定量检测模型。研究结果显示，可以通过NIRS在短时间内精准检测小麦秸秆腐解过程中纤维素、半纤维素、木质素的含量，定标相关系数Rc分别为0.976 7、0.980 5和0.984 8，矫正相关系数分别为0.984 1、0.987 2和0.989 8，全交互验证相关系数为0.979 8、0.989 2和0.987 3，RPD值分别为4.84、6.57和5.75均>3.0，定标效果良好。 |
| 关键词: 小麦秸秆 腐熟 NIRS 纤维素含量 |
| DOI：10.11841/j.issn.1007-4333.2018.06.04 |
| 投稿时间：2017-06-27 |
| 基金项目:安徽省科技重大专项（15czz0312）；安徽省省级学科建设重大项目"草学"（皖教秘科[2014]28号）；安徽科技学院作物学校级A类重点学科建设项目"作物学"（AKZDXK2015A03） |
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| Rapid contend determination of cellulose,hemicellulose and lignin during wheat straw compose period based on Near-Infrared reflectance spectroscopy |
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REN Lantian1,2,3, TANG Fei2, SHAO Qingqin1, SONG Changgang2, LIU Qing2, MEI Yanyan2, ZHANG Congjun2
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| (1.College of Agronomy, University of Science and Technology of Anhui, Fengyang 233100, China;2.AnhuiLaimujia Biological Technology Co. Ltd. /Key Laboratory of Bio-organic Fertilizer Creation, Ministry of Agriculture, Bengbu 233400, China;3.National Energy R & D Center for Non-food Biomass/China Agricultural University, Beijing 100193, China) |
| Abstract: |
| Exploration and establishment of rapid contend determination of cellulose and, hemicellulose and lignin contents during wheat straw compose period based on Near-Infrared reflectance spectroscopy would help to determine crop residue decomposition degree and to realize industrial on-line control.In this study, a prediction model was established for rapid detection of cellulose, hemicellulose and lignin combined with partial least squares method using near infrared reflectance spectroscopy by adding compost maturity agent experiment on wheat straw, and the maturity in the process of wheat samples were taken as the research object.The results showed that the near infrared diffuse reflectance spectroscopy could quickly detect the content of cellulose, hemicellulose and lignin in the straw during decomposition process.The calibration correlation coefficient Rcs were respectively 0.976 7, 0.980 5, 0.984 8.The corrected correlation coefficients were 0.984 1, 0.987 2, 0.989 8, respectively.The cross validation correlation coefficient was 0.979 8, 0.989 2, 0.987 3.RPDs were 4.84, 6.57 and 5.75 and were all higher than 3.00 indicating good scaling effects.In summary, the model provided the necessary references for the rapid determination of the degree of straw maturity and industrialization. |
| Key words: wheat straw compost infrared spectrum cellulose content |
