| 光谱学与光谱分析 |
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| Analysis on the Impact of Composting with Different Proportions of Corn Stalks and Pig Manure on Humic Acid Fractions and IR Spectral Feature |
| SUN Xiang-ping1, 2, LI Guo-xue2*, XIAO Ai-ping1, SHI Hong2, WANG Yi-ming2, LI Yang-yang2 |
1. Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences, Changsha 410125, China
2. College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China |
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Abstract Using pig manure and corn straw as raw materials for high-temperature composting，setting three different treatments: C/N 15, C/N 25, and C/N 35. Composting period is 120 days, which contains 30 days for ventilation cycle by forced continuous ventilation. Sampled on 0, 22, 30, 60, 90, 120th days, they were analyzed by elemental analysis and IR spectroscopy to study effect of different lignin content on compost humic acid (HA) composition and molecular structure. The results showed that the change in composting humic acid C focused on the first 30 days, while after composting, the O/C of compost HA increased, H/C decreased, and N content increased. Low C/N (15) and higher C/N ratio (35) had higher degree of oxidation than the C/N 25 in compost HA. FTIR indicated that the infrared spectrum shapes with different lignin content treatment are similar during the composting process, but the peak intensity is obviously different. Research results proved that the composting stage is more conducive to enhanced aromatic in compost HA. After composting, C/N 15 had less polysaccharide and fat ingredients and more aromatic structural components in compost HA, compared with C/N 25 and 35. In addition, compost HA of C/N 15 had higher degree of humification and its structure was more stable.
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Received: 2013-09-13
Accepted: 2013-12-20
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Corresponding Authors:
LI Guo-xue
E-mail: ligx@cau.edu.cn
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[1] ZHANG Li-ping(张立萍). China Agricultural Information(中国信息科学), 2013,(10)：15.
[2] LI Wen-zhe, XU Ming-han, LI Jing-yu(李文哲，徐名汉，李晶宇). Transactions of the Chinese Society for Agricultural Machinery(农业机械学报)，2013，44(5)：135.
[3] HUANG Hong-li, ZENG Guang-ming, HUANG Guo-he, et al(黄红丽，曾光明，黄国和，等). China Biotechnology (中国生物工程杂志), 2004，24(8): 29.
[4] Senesi N. Science of the Total Environment, 1989, 81(2): 521.
[5] Brunetti G, Soler-Rovira P, Matarrese F, et al. Journal of Agricultural and Food Chemistry, 2009, 57(22): 10859.
[6] Tuomela M,Vikman M,Hatakka A, et al. Bioresource Technology, 2000, 72(2): 169.
[7] Smidt E, Meissl K, Schmutzer M, et al. 2008, 27(2): 196.
[8] Huang G F, Wu QT, Wong J W C, et al. Bioresource Technology, 2006, 97: 1834.
[9] Amir S, Jouraiphy A, Meddich A, et al. Journal of Hazardous Materials, 2010, 177: 526.
[10] Amir S, Hafidi M, Lemee L, et al. Process Biochemistry, 2006, 41: 421.
[11] Stevenson F J. Humus Chemistry: Genesis, Composition, Reactions. 2nd ed.New York: John Wiley & Sons, 1994.
[12] Miikki V, Senesi N, Hanninen K. Chemosphere, 1997, 34(8): 1639.
[13] Campitelli P, Ceppi S. Geoderma, 2008, 144(1-2): 325.
[14] ZHANG Cai-hua(张彩华). Chinese Journal of Spectroscopy Laboratory(光谱实验室)，2011, 28(2): 694.
[15] Tandy S, Healey J R, Nason M A, et al. Bioresource Technology, 2010, 101: 5434.
[16] Lü Baoyi, Xing Meiyan, Yang Jiang, et al. Bioresource Technology, 2013, 132: 323.
[17] WANG Shuai, DOU Sen, LIU Yan-li, et al(王 帅，窦 森，刘艳丽，等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2012, 32(9): 2409.
[18] XUE Tong, CHEN Hua, ZHANG Yi-ran, et al(薛 童，陈 华，张依然，等) . Journal of Anhui Agriculture Science(安徽农业科学), 2012, 40(6)：3833. |
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