光谱学与光谱分析 |
|
|
|
|
|
Spectral Analysis of Dissolved Organic Matter Derived from Rice Straw after Chemical Treatment |
SHEN Qi-rong1, XU Yong1, YANG Hong2, ZHOU Li-xiang1, YU Qing3, ZHOU Zhi-ping3 |
1. College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing 210095, China 2. College of Science, Nanjing Agricultural University, Nanjing 210095, China 3. Institute of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210093, China |
|
|
Abstract Fourier transform infrared spectroscopy (FTIR), ultraviolet spectroscopy (UV),and nuclear magnetic resonance spectroscopy (NMR) were used to study the chemical composition of Dissolved Organic Matter (DOM) derived from rice straw in the hydrolysis process with a dilute complex acid solution. The results obtained are as follows. FTIR spectra could indicate the changes of DOM during the hydrolysis process of rice straw. With the progress of rice straw hydrolysis, methyl, methylene, aromatic compounds and carbonhydrates decreased,most of aliphatic compounds were oxidized to CO2 and H2O, and others were turned into carbonates. Most of the organic silicon was hydrolyzed into inorganic silicon. The proteins, amino acids and other nitrogen were hydrolyzed to NH+4. All the recalcitrant fractions of rice straw, such as hemi-cellulose, cellulose and silicon sharply decreased during the process of chemical treatment. The results obtained in this paper proposed that the changes of DOM of rice straw in the hydrolysis could be an indication in the changes of chemical composition of rice straw during the hydrolyzation,and FTIR, UV and NMR were good methods to study the changes in the structure of organic compounds.
|
Received: 2003-07-29
Accepted: 2003-12-14
|
|
Corresponding Authors:
SHEN Qi-rong
|
|
Cite this article: |
SHEN Qi-rong,XU Yong,YANG Hong, et al. Spectral Analysis of Dissolved Organic Matter Derived from Rice Straw after Chemical Treatment [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2005, 25(02): 211-215.
|
|
|
|
URL: |
https://www.gpxygpfx.com/EN/Y2005/V25/I02/211 |
[1] XU Yong, SHEN Qi-rong, ZHONG Zeng-tao, CHEN Xiang-huai(徐 勇,沈其荣,钟增涛,陈湘淮). Scientia Agricultura Sinica(中国农业科学), 2003,36(1): 59. [2] ZHANG Ya-li, ZHANG Juan, WANG Jin-chuan, SHEN Qi-rong(张亚丽,张 娟,王金川,沈其荣). Chinese Journal of Applied Ecology(应用生态学报),2002,13(12):1575. [3] GU Xun-gang, WANG Guo, FANG Ling(谷勋刚,王 果,方 玲). Plant Nutrition and Fertilizer Science(植物营养与肥料学报),2001,7(1):93. [4] SHEN Qi-rong, YIN Shi-xue, YANG Chao-guang, CHEN Wei(沈其荣,殷士学,杨超光,陈 魏). Plant Nutrition and Fertilizer Science(植物营养与肥料学报),2000,6(1):98. [5] ZHAN Xin-hua, ZHOU Li-xiang, SHEN Qi-rong, HUANG Huan-zhong(占新华,周立祥,沈其荣,黄焕忠). Acta Scientiae Circumstantiae(环境科学学报),2001,21(4):470. [6] WU Jing-gui, XI Shi-quan, ZENG Guang-bin, WANG Dong-mei, JIANG Yan, WANG Ming-hui(吴景贵,席时权,曾广斌,汪冬梅,姜 岩,王明辉). Acta Pedologica Sinica(土壤学报),1999,2 (1):91. [7] WU Jing-gui, XI Shi-quan, ZENG Guang-bin, WANG Dong-mei, JIANG Yan, WANG Ming-hui(吴景贵,席时权,曾广斌,汪冬梅,姜 岩,王明辉). Short Communication of Analytical Chemistry(分析化学研究简报),1998,26(11):1380. [8] Kuwatsuka S, Watanabe A, Itoh K, Aria S. Soil Sci. Plant Nutr., 1992, 38(1): 23. [9] Inbar Y, Chen Y, Hadar Y. Soil Sci., 1991, (4): 272. [10] During D T, Esterle J S, Dickson T J, During J R. Appl. Spectosc., 1988, 42: 1239. [11] Inbar Y, Chen Y, Hadar Y. Soil Sci. Am. J., 1989, 53: 1695. [12] Koji Nakanshi, Solomon P H. 100 Cases of Infrared Spectrum Analysis(红外光谱分析100例). Beijing: Science Press(北京:科学出版社),1984. 8. [13] WU Jing-gui, ZENG Guang-bin, WANG Dong-mei, XI Shi-quan, JIANG Yan, WANG Ming-hui, GENG Yu-hui(吴景贵,曾广斌,汪冬梅,席时权,姜 岩,王明辉,耿玉晖). Short Communication of Analytical Chemistry(分析化学研究简报),1997,25(12):1395. [14] WU Jing-gui, JING Feng-ying, WANG Dong-mei, XI Shi-quan, JIANG Yan, WANG Ming-hui, JIANG Yi-mei, GENG Yu-hui(吴景贵,景凤英,汪冬梅,席时权,姜 岩,王明辉,姜亦梅,耿玉晖). Short Communication of Analytical Chemistry(分析化学研究简报),1999,27(8):933. [15] Preston Caroline M, Trofymow J A (Tony), Sayer Brian G, Junning Niu. Can. J. Bot.,1997, 75: 1601. [16] Almendros G, Dorado J, González-Vila F J, Blanco M J, Lankes U. Soil Biology & Biochemistry,2000, 32: 793. [17] Wershaw R L. Humic Substances in Soils, Sediment and Water. In Ajken G R et al.(ed.). New York:Wiley-Intersci., 1985. 561 [18] Knicker H, Udemann H D L,Haider K. European Journal of Soil Science, 1997, 48:431.
|
[1] |
CHENG Jia-wei1, 2,LIU Xin-xing1, 2*,ZHANG Juan1, 2. Application of Infrared Spectroscopy in Exploration of Mineral Deposits: A Review[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 15-21. |
[2] |
LI Jie, ZHOU Qu*, JIA Lu-fen, CUI Xiao-sen. Comparative Study on Detection Methods of Furfural in Transformer Oil Based on IR and Raman Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 125-133. |
[3] |
YANG Cheng-en1, 2, LI Meng3, LU Qiu-yu2, WANG Jin-ling4, LI Yu-ting2*, SU Ling1*. Fast Prediction of Flavone and Polysaccharide Contents in
Aronia Melanocarpa by FTIR and ELM[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 62-68. |
[4] |
GAO Feng1, 2, XING Ya-ge3, 4, LUO Hua-ping1, 2, ZHANG Yuan-hua3, 4, GUO Ling3, 4*. Nondestructive Identification of Apricot Varieties Based on Visible/Near Infrared Spectroscopy and Chemometrics Methods[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 44-51. |
[5] |
ZHENG Pei-chao, YIN Yi-tong, WANG Jin-mei*, ZHOU Chun-yan, ZHANG Li, ZENG Jin-rui, LÜ Qiang. Study on the Method of Detecting Phosphate Ions in Water Based on
Ultraviolet Absorption Spectrum Combined With SPA-ELM Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 82-87. |
[6] |
LI Yu1, ZHANG Ke-can1, PENG Li-juan2*, ZHU Zheng-liang1, HE Liang1*. Simultaneous Detection of Glucose and Xylose in Tobacco by Using Partial Least Squares Assisted UV-Vis Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 103-110. |
[7] |
LIU Jia, ZHENG Ya-long, WANG Cheng-bo, YIN Zuo-wei*, PAN Shao-kui. Spectra Characterization of Diaspore-Sapphire From Hotan, Xinjiang[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 176-180. |
[8] |
BAO Hao1, 2,ZHANG Yan1, 2*. Research on Spectral Feature Band Selection Model Based on Improved Harris Hawk Optimization Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 148-157. |
[9] |
GUO Ya-fei1, CAO Qiang1, YE Lei-lei1, ZHANG Cheng-yuan1, KOU Ren-bo1, WANG Jun-mei1, GUO Mei1, 2*. Double Index Sequence Analysis of FTIR and Anti-Inflammatory Spectrum Effect Relationship of Rheum Tanguticum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 188-196. |
[10] |
HE Qing-yuan1, 2, REN Yi1, 2, LIU Jing-hua1, 2, LIU Li1, 2, YANG Hao1, 2, LI Zheng-peng1, 2, ZHAN Qiu-wen1, 2*. Study on Rapid Determination of Qualities of Alfalfa Hay Based on NIRS[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3753-3757. |
[11] |
LI Xiao-dian1, TANG Nian1, ZHANG Man-jun1, SUN Dong-wei1, HE Shu-kai2, WANG Xian-zhong2, 3, ZENG Xiao-zhe2*, WANG Xing-hui2, LIU Xi-ya2. Infrared Spectral Characteristics and Mixing Ratio Detection Method of a New Environmentally Friendly Insulating Gas C5-PFK[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3794-3801. |
[12] |
HU Cai-ping1, HE Cheng-yu2, KONG Li-wei3, ZHU You-you3*, WU Bin4, ZHOU Hao-xiang3, SUN Jun2. Identification of Tea Based on Near-Infrared Spectra and Fuzzy Linear Discriminant QR Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3802-3805. |
[13] |
LIU Xin-peng1, SUN Xiang-hong2, QIN Yu-hua1*, ZHANG Min1, GONG Hui-li3. Research on t-SNE Similarity Measurement Method Based on Wasserstein Divergence[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3806-3812. |
[14] |
BAI Xue-bing1, 2, SONG Chang-ze1, ZHANG Qian-wei1, DAI Bin-xiu1, JIN Guo-jie1, 2, LIU Wen-zheng1, TAO Yong-sheng1, 2*. Rapid and Nndestructive Dagnosis Mthod for Posphate Dficiency in “Cabernet Sauvignon” Gape Laves by Vis/NIR Sectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3719-3725. |
[15] |
WANG Qi-biao1, HE Yu-kai1, LUO Yu-shi1, WANG Shu-jun1, XIE Bo2, DENG Chao2*, LIU Yong3, TUO Xian-guo3. Study on Analysis Method of Distiller's Grains Acidity Based on
Convolutional Neural Network and Near Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3726-3731. |
|
|
|
|