玉米秸秆组分的傅里叶红外光谱检测
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摘要
为实现秸秆不同部位组分的快速无损检测,以玉米秸秆分离的皮、瓤、叶为研究对象,通过光谱采集分析和化学检测相结合的方法,对该玉米秸秆各部位中的纤维素及木质素的含量进行数据分析和试验验证。试验结果表明:光谱信息中H基团的振动强弱确定玉米秸秆纤维素与木质素的含量依次为皮>叶>瓤。纤维素模型采用1阶微分与标准化结合的预处理方式,木质素模型采用1阶微分与标准正态变量相结合的预处理方式,经过试验验证分析,预测模型的相对误差均小于3%,有较高的相关度和预测效果,表明利用FTIR技术对玉米秸秆的组分含量的检测数据可靠,在线检测效率高,可为快速检测秸秆组分提供新的测量方法和手段。
The content of cellulose and lignin in the separated skin,core and leaves of corn straw were analyzed by means of combination of spectral analysis and chemical detection,and then the validity of prediction models were tested in order to realized the rapid nondestructive detection of the different parts of the components of straw. The results showed that the content of cellulose and lignin of corn straw were determined as skin,pulp and leaves sequence by the vibration strength of H group in spectral information. The cellulose model was pretreated by first order differentiation and standardization,and the lignin model was pretreated by first order differential and standard normal variables,The verification analysis of the experiment shows that the relative errors of the prediction models are less than 3% indicating a higher correlation and prediction effect. The results show that the test data online by FTIR of cellulose and lignin in the separated skin,pulp and leaves of corn straw content is reliable,It provides a new rapid nondestructive measuring method with high efficiency.
The content of cellulose and lignin in the separated skin,core and leaves of corn straw were analyzed by means of combination of spectral analysis and chemical detection,and then the validity of prediction models were tested in order to realized the rapid nondestructive detection of the different parts of the components of straw. The results showed that the content of cellulose and lignin of corn straw were determined as skin,pulp and leaves sequence by the vibration strength of H group in spectral information. The cellulose model was pretreated by first order differentiation and standardization,and the lignin model was pretreated by first order differential and standard normal variables,The verification analysis of the experiment shows that the relative errors of the prediction models are less than 3% indicating a higher correlation and prediction effect. The results show that the test data online by FTIR of cellulose and lignin in the separated skin,pulp and leaves of corn straw content is reliable,It provides a new rapid nondestructive measuring method with high efficiency.
引文
[1]农业部规划设计研究院.农作物秸秆能源化利用资源调查与评价研究[R].国家能源局,2012.[1]Chinese Academy of Agricultural Engineering.Investigation and evaluation of energy utilization of crop straw[R]. National Energy Bureau,2012.
[2]刘丽英,陈洪章.玉米秸秆组分近红外漫反射光谱(NIRS)测定方法的建立[J].光谱学与光谱分析,2007,27(2):275—278.[2]Liu Liying,Chen Hongzhang. Prediction of maize stover components with near infrared reflectance spectroscopy[J]. Spectroscopy and Spectral Analysis,2007,27(2):275—278.
[3]Godin B,Agneessens R,Gerin P,et al. Lignin in plant biomasses:comparative metrological assessment of thedetergent fiber and the insoluble dietary fiber methods[J]. Cellulose,2015,22(4):2325—2340.
[4]王玉万,徐文玉.木质纤维素固体基质发酵物中半纤维素、纤维素和木素的定量分析程序[J].微生物学通报,1987,14(2):35—38.[4]Wang Yuwan, Xu Wenyu. Quantitative analysisprocedure of hemicellulose, cellulose and lignin inlignocellulose solid matrix fermentation[J]. ChineseBulletin of Microbiology,1987,14(2):35—38.
[5]陈贤情,商晋,宋慧芳,等.秸秆中纤维素/半纤维素和木质素的几种测定方法对比[A].中国农业工程学会2011年学术年会论文集[C],重庆,中国,2011.[5]Chen Xianqing, Shang Jin, Song Huifang,et al.Comparison of several methods for determination ofcellulose/hemicellulose and lignin in straw[A]. ACollection of Academic Annual Meetings of the ChineseAcademy of Agricultural Engineering[C],Chongqing,China,2011.
[6]张威,王星,龚海燕,等.近红外光谱技术在快速测定连翘提取物中连翘苷含量的应用[J].光散射学报,2010,22(2):175—180.[6]Zhang Wei, Wang Xing, Gong Haiyan, et al.Determination of phillyrin in extractum Forsythiae siccus by near-infrared spectroscopy technique[J].Journal of Light Scattering,2010,22(2):175—180.
[7]李庆波,阎侯赖,李丽娜,等.偏稳健M回归在人体血糖浓度近红外无创检测中的应用[J].光谱学与光谱分析,2010,30(8):2115—2119.[7]Li Qingbo,Yan Houlai,Li Lina,et al. Application ofpartial robust M-regression in noninvasive measurementof human blood glucose concentration with near-infraredspectroscopy[J]. Spectroscopy and Spectral Analysis,2010,30(8):2115—2119.
[8]曾一凡,刘春生,孙旭东,等.可见/近红外光谱技术无损检测果实坚实度的研究[J].农业工程学报,2008,24(5):250—252.[8]Zeng Yifan, Liu Chunsheng, Sun Xudong, et al.Nondestructive measurement of firmness of pear usingvisible and near-infrared spectroscopy technique[J].Transactions of the CSAE,2008,24(5):250—252.
[9]邰书静,张仁和,薛吉全,等.近红外光谱法测定玉米秸秆饲用品质[J].农业工程学报,2009,25(12):151—155.[9]Tai Shujing, Zhang Renhe, Shi Juntong, et al.Prediction of forage quality of maize stover by near infrared spectroscopy[J]. Transactions of the CSAE,2009,25(12):151—155.
[10]蒋璐璐,谈黎虹,裘正军,等.基于可见-近红外光谱的制动液品牌鉴别方法研究[J].光谱学与光谱分析,2008,28(6):1296—1299.[10]Jiang Lulu, Tan Lihong, Qiu Zhengjun, et al.Discrimination of varieties of brake fluid using visualnear infrared spectra[J]. Spectroscopy and Spectral Analysis,2008,28(6):1296—1299.
[11]钱平,孙国琴,张存洲.基于近红外光谱技术的石油组分定量分析新方法[J].光谱学与光谱分析,2008,28(12):2851—2854.[11]Qian Ping,Sun Guoqin,Zhang Cunzhou,et al. A novel fuzzy neural network method for diesel quantitative analysis with near infrared spectroscopy[J].Spectroscopy and Spectral Analysis,2008,28(12):2851—2854.
[12]Higgins J P,Arrivo S M,Thurau G,et al. Spectroscopic approach of on-line monitoring of particle size during the processing of pharmaceutical nanoparticles[J].Analytical Chemistry,2003,75(8):1777—1785.
[13]Fernandez-Ibanez V,Soldado A,Martínez-Fernández A,et al. Application of near infrared spectroscopy for rapid detection of aflatoxin B1 in maize and barley as analytical quality assessment[J]. Food Chemistry,2009,113:629—634.
[14]薛俊杰,韩鲁佳,杨增玲,等.玉米秸秆饲料营养成分NIRS在线检测[J].农业机械学报,2016,47(7):216—223.[14]Xue Junjie,Han Lujia,Yang Zengling,et al. On-line measurement of nutrient content of corn stover using NIRS[J]. Journal of Agricultural Machinery,2016,47(7):216—223.
[15]张海龙.中国新能源发展研究[D].长春:吉林大学,2014.[15]Zhang Hailong. Research on the new energy development in China[D]. Changchun:Jilin University,2014.
[16]周涛,杨钦兰,张统雨,等.皮瓤分离玉米秸不同部分的化学成分、能量价值和瘤胃降解特性[J].动物营养学报,2015,27(1):320—326.[16]Zhou Tao,Yang Qinlan,Zhang Tongyu,et al. Chemical composition,energetic values and ruminal degradation characteristics of different portions of cornstalks derived from skin-pith separation[J]. Chinese Journal of Animal Nutrition,2015,27(1):320—326.
[17]高明亮.基于傅里叶变换红外光谱技术的多组分气体定量分析研究[D].合肥:中国科学技术大学,2010.[17]Gao Mingliang. Study on multi-component gases quantitative analysis based on FTIR[D]. Hefei:University of Science and Technology of China,2010.
[18]范慧青,王喜明,王雅梅.利用傅里叶变换红外光谱法快速测定木材纤维素含量[J].木材加工机械,2014,25(4):33—37.[18]Fan Huiqing, Wang Ximing,Wang Yamei. Rapid determination on cellulose content of wood by using FTIR spectrometry[J]. Woodworking Machinery,2014,25(4):33—37.
[19]高华娜,郝雪娟,关颖.傅里叶变换红外光谱法快速测定5个品种大豆的主要组分[J].光谱试验室,2011,28(1):79—81.[19]Gao Huana, Hao Xuejuan, Guan Ying. Fast determination of main components of five kinds of soybean by Fourier transform infrared spectroscopy[J].Chinese Journal of Spectroscopy Laboratory,2011,28(01):79—81.
[20]Arnold M A,Small G W. Determination of physiological levels of glucose in an aqueous matrix with digitally filtered Fourier transform near-infrared spectra[J].Analytical Chemistry,1990,62(14):1457—1464.
[21]Sj?blom J, Svensson O, Josefson M, et al. An evaluation of orthogonal signal correction applied to calibration transfer of near infrared spectra[J].Chemometrics and Intelligent Laboratory Systems,1998,44(1):229—244.
[22]邓小莉,常景玲,洪详.不同预处理方法对玉米秸秆纤维素结构及降解的影响[J].云南农业大学学报:自然科学版,2013,28(4):545—550.[22]Deng Xiaoli,Chang Jingling,Hong Xiang. Effect of different pretreatment methods on the cellulose structure and degradation of corn straw[J]. Journal of Yunnan Agricultural University:Natural Sciences Edition,2013,28(4):545—550.
[23]赵玲,李森,王聪,等.不同预处理对秸秆木质纤维组分特性的影响[J].沈阳农业大学学报,2017,48(2):244—249.[23]Zhao Ling,Li Sen,Wang Cong,et al. Effects of different pretreatments on fiber component characteristics of corn straw[J]. Journal of Shenyang Agricultrual University,2017,48(2):244—249.
[24]Salehian P,Karimi K,Zilouei H,et al. Improvement of biogas production from pine wood by alkali pretreatmeat[J]. Fuel,2013,106:484—489.
[2]刘丽英,陈洪章.玉米秸秆组分近红外漫反射光谱(NIRS)测定方法的建立[J].光谱学与光谱分析,2007,27(2):275—278.[2]Liu Liying,Chen Hongzhang. Prediction of maize stover components with near infrared reflectance spectroscopy[J]. Spectroscopy and Spectral Analysis,2007,27(2):275—278.
[3]Godin B,Agneessens R,Gerin P,et al. Lignin in plant biomasses:comparative metrological assessment of thedetergent fiber and the insoluble dietary fiber methods[J]. Cellulose,2015,22(4):2325—2340.
[4]王玉万,徐文玉.木质纤维素固体基质发酵物中半纤维素、纤维素和木素的定量分析程序[J].微生物学通报,1987,14(2):35—38.[4]Wang Yuwan, Xu Wenyu. Quantitative analysisprocedure of hemicellulose, cellulose and lignin inlignocellulose solid matrix fermentation[J]. ChineseBulletin of Microbiology,1987,14(2):35—38.
[5]陈贤情,商晋,宋慧芳,等.秸秆中纤维素/半纤维素和木质素的几种测定方法对比[A].中国农业工程学会2011年学术年会论文集[C],重庆,中国,2011.[5]Chen Xianqing, Shang Jin, Song Huifang,et al.Comparison of several methods for determination ofcellulose/hemicellulose and lignin in straw[A]. ACollection of Academic Annual Meetings of the ChineseAcademy of Agricultural Engineering[C],Chongqing,China,2011.
[6]张威,王星,龚海燕,等.近红外光谱技术在快速测定连翘提取物中连翘苷含量的应用[J].光散射学报,2010,22(2):175—180.[6]Zhang Wei, Wang Xing, Gong Haiyan, et al.Determination of phillyrin in extractum Forsythiae siccus by near-infrared spectroscopy technique[J].Journal of Light Scattering,2010,22(2):175—180.
[7]李庆波,阎侯赖,李丽娜,等.偏稳健M回归在人体血糖浓度近红外无创检测中的应用[J].光谱学与光谱分析,2010,30(8):2115—2119.[7]Li Qingbo,Yan Houlai,Li Lina,et al. Application ofpartial robust M-regression in noninvasive measurementof human blood glucose concentration with near-infraredspectroscopy[J]. Spectroscopy and Spectral Analysis,2010,30(8):2115—2119.
[8]曾一凡,刘春生,孙旭东,等.可见/近红外光谱技术无损检测果实坚实度的研究[J].农业工程学报,2008,24(5):250—252.[8]Zeng Yifan, Liu Chunsheng, Sun Xudong, et al.Nondestructive measurement of firmness of pear usingvisible and near-infrared spectroscopy technique[J].Transactions of the CSAE,2008,24(5):250—252.
[9]邰书静,张仁和,薛吉全,等.近红外光谱法测定玉米秸秆饲用品质[J].农业工程学报,2009,25(12):151—155.[9]Tai Shujing, Zhang Renhe, Shi Juntong, et al.Prediction of forage quality of maize stover by near infrared spectroscopy[J]. Transactions of the CSAE,2009,25(12):151—155.
[10]蒋璐璐,谈黎虹,裘正军,等.基于可见-近红外光谱的制动液品牌鉴别方法研究[J].光谱学与光谱分析,2008,28(6):1296—1299.[10]Jiang Lulu, Tan Lihong, Qiu Zhengjun, et al.Discrimination of varieties of brake fluid using visualnear infrared spectra[J]. Spectroscopy and Spectral Analysis,2008,28(6):1296—1299.
[11]钱平,孙国琴,张存洲.基于近红外光谱技术的石油组分定量分析新方法[J].光谱学与光谱分析,2008,28(12):2851—2854.[11]Qian Ping,Sun Guoqin,Zhang Cunzhou,et al. A novel fuzzy neural network method for diesel quantitative analysis with near infrared spectroscopy[J].Spectroscopy and Spectral Analysis,2008,28(12):2851—2854.
[12]Higgins J P,Arrivo S M,Thurau G,et al. Spectroscopic approach of on-line monitoring of particle size during the processing of pharmaceutical nanoparticles[J].Analytical Chemistry,2003,75(8):1777—1785.
[13]Fernandez-Ibanez V,Soldado A,Martínez-Fernández A,et al. Application of near infrared spectroscopy for rapid detection of aflatoxin B1 in maize and barley as analytical quality assessment[J]. Food Chemistry,2009,113:629—634.
[14]薛俊杰,韩鲁佳,杨增玲,等.玉米秸秆饲料营养成分NIRS在线检测[J].农业机械学报,2016,47(7):216—223.[14]Xue Junjie,Han Lujia,Yang Zengling,et al. On-line measurement of nutrient content of corn stover using NIRS[J]. Journal of Agricultural Machinery,2016,47(7):216—223.
[15]张海龙.中国新能源发展研究[D].长春:吉林大学,2014.[15]Zhang Hailong. Research on the new energy development in China[D]. Changchun:Jilin University,2014.
[16]周涛,杨钦兰,张统雨,等.皮瓤分离玉米秸不同部分的化学成分、能量价值和瘤胃降解特性[J].动物营养学报,2015,27(1):320—326.[16]Zhou Tao,Yang Qinlan,Zhang Tongyu,et al. Chemical composition,energetic values and ruminal degradation characteristics of different portions of cornstalks derived from skin-pith separation[J]. Chinese Journal of Animal Nutrition,2015,27(1):320—326.
[17]高明亮.基于傅里叶变换红外光谱技术的多组分气体定量分析研究[D].合肥:中国科学技术大学,2010.[17]Gao Mingliang. Study on multi-component gases quantitative analysis based on FTIR[D]. Hefei:University of Science and Technology of China,2010.
[18]范慧青,王喜明,王雅梅.利用傅里叶变换红外光谱法快速测定木材纤维素含量[J].木材加工机械,2014,25(4):33—37.[18]Fan Huiqing, Wang Ximing,Wang Yamei. Rapid determination on cellulose content of wood by using FTIR spectrometry[J]. Woodworking Machinery,2014,25(4):33—37.
[19]高华娜,郝雪娟,关颖.傅里叶变换红外光谱法快速测定5个品种大豆的主要组分[J].光谱试验室,2011,28(1):79—81.[19]Gao Huana, Hao Xuejuan, Guan Ying. Fast determination of main components of five kinds of soybean by Fourier transform infrared spectroscopy[J].Chinese Journal of Spectroscopy Laboratory,2011,28(01):79—81.
[20]Arnold M A,Small G W. Determination of physiological levels of glucose in an aqueous matrix with digitally filtered Fourier transform near-infrared spectra[J].Analytical Chemistry,1990,62(14):1457—1464.
[21]Sj?blom J, Svensson O, Josefson M, et al. An evaluation of orthogonal signal correction applied to calibration transfer of near infrared spectra[J].Chemometrics and Intelligent Laboratory Systems,1998,44(1):229—244.
[22]邓小莉,常景玲,洪详.不同预处理方法对玉米秸秆纤维素结构及降解的影响[J].云南农业大学学报:自然科学版,2013,28(4):545—550.[22]Deng Xiaoli,Chang Jingling,Hong Xiang. Effect of different pretreatment methods on the cellulose structure and degradation of corn straw[J]. Journal of Yunnan Agricultural University:Natural Sciences Edition,2013,28(4):545—550.
[23]赵玲,李森,王聪,等.不同预处理对秸秆木质纤维组分特性的影响[J].沈阳农业大学学报,2017,48(2):244—249.[23]Zhao Ling,Li Sen,Wang Cong,et al. Effects of different pretreatments on fiber component characteristics of corn straw[J]. Journal of Shenyang Agricultrual University,2017,48(2):244—249.
[24]Salehian P,Karimi K,Zilouei H,et al. Improvement of biogas production from pine wood by alkali pretreatmeat[J]. Fuel,2013,106:484—489.