|
|
|
|
|
|
| Spectroscopic Characteristics of Soil Humus Components Under Different Proportions of Organic and Inorganic Fertilizers |
| TONG Li-hong1, ZHU Ling2, ZHAO Nan3, LÜ Yi-zhong1*, LIU Xia-yan1, JIANG Shan1, LI Ying-xin1 |
1. College of Land Science and Technology, China Agricultural University, Beijing 100193, China
2. College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China
3. School of Environmental Science and Engineering, Sun Yat-sen University, Guangzhou 510275, China |
|
|
|
|
Abstract This study explored the effects of different proportions of organic and inorganic fertilizers on soil humus characteristics based on the 16-year long-term localization experiment. The humic acid (HA) and fulvic acid (FA) components in the humus are separated and purified, and studied the changes of HA and FA contents and structure utilized chemical analysis and various spectroscopy techniques under three fertilization of F1 (70% chemical fertilizer +30%organic fertilizer), F2 (50% organic fertilizer+50% chemical fertilizer) and F3 (100% organic fertilizer). The results showed that the effect of F3 on improving HA and FA content was better than that of F1 and F2 treatments, indicating that the higher application rate of organic fertilizer, the higher content of soil humus components. Elemental analysis showed that different ratios of organic and inorganic fertilizers had different effects on the content and atomic ratio of HA and FA. F2 and F3 both increase the degree of HA condensation, reduce the degree of oxidation and polarity, and the effect of F3 is obvious; the application of organic fertilizer can also promote the formation of nitrogen compounds in HA, and the effect is the best in F2; The application of organic fertilizer also increased the degree of condensation of FA, reduced the degree of oxidation and polarity, and promoted the formation of nitrogen-containing compounds, especially in the F2 treatment. Infrared spectroscopy analysis of humus showed that compared with F1, F2 and F3 increased the content of aliphatic compounds and carbohydrates in HA, and the carboxyl group and fat group content of FA also increased, and it was the most significant in F3 treatment. F2 treatment reduced the content of fatty hydrocarbons in HA, and the carbohydrates in FA reached the highest. 13C NMR spectroscopy analysis showed that the application of organic fertilizer increased the degree of aromatization of HA and FA and decreased the degree of aromatization in the three treatments, and the change of HA functional group in F2 treatment was significant, FA changed more obvious in F3 treatment. In summary, organic fertilizer significantly increased the content of soil humus components and increased the degree of aromatization of HA and FA, but the formation mechanism of HA and FA under different amounts of organic fertilizer was different.
|
|
Received: 2019-11-20
Accepted: 2020-03-18
|
|
|
|
Corresponding Authors:
LÜ Yi-zhong
E-mail: lyz@cau.edu.cn
|
|
[1] Menšík L, Hlisnikovsky L, Pospisilova L, et al. Journal of Soils and Sediments, 2018, 18(8): 2813.
[2] Guo X B, Huang J H, Lu Y Y, et al. Bioresource Technology, 2016, 219: 169.
[3] DOU Sen, LI Yan, GUAN Song, et al(窦 森，李 艳，关 松，等). Acta Pedologica Sinica(土壤学报), 2016, 53(4): 821.
[4] Song X Y, Liu S T, Liu Q H, et al. Journal of Integrative Agriculture, 2014, 13(3): 562.
[5] Guo X X, Liu H T, Wu S B. Science of The Total Environment, 2019, 662: 501.
[6] Brunetti G, Plaza C, Clapp C E, et al. Soil Biology and Biochemistry, 2007, 39(6): 1355.
[7] Abdulla H A N, Minor E C, Dias R F, et al. Geochimica et Cosmochimica Acta, 2010, 74(13): 3815.
[8] Vergnoux A, Guiliano M, Di Rocco R, et al. Environmental Research, 2011, 111(2): 205.
[9] Santin C, Gonzalez-Perez M, Otero X L, et al. Estuarine, Coastal and Shelf Science, 2008, 79(3): 541. |
| [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] |
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. |
| [6] |
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. |
| [7] |
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. |
| [8] |
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. |
| [9] |
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. |
| [10] |
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. |
| [11] |
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. |
| [12] |
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. |
| [13] |
DANG Rui, GAO Zi-ang, ZHANG Tong, WANG Jia-xing. Lighting Damage Model of Silk Cultural Relics in Museum Collections Based on Infrared Spectrum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3930-3936. |
| [14] |
SUN Wei-ji1, LIU Lang1, 2*, HOU Dong-zhuang3, QIU Hua-fu1, 2, TU Bing-bing4, XIN Jie1. Experimental Study on Physicochemical Properties and Hydration Activity of Modified Magnesium Slag[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3877-3884. |
| [15] |
LUO Li, WANG Jing-yi, XU Zhao-jun, NA Bin*. Geographic Origin Discrimination of Wood Using NIR Spectroscopy
Combined With Machine Learning Techniques[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3372-3379. |
|
|
|
|
