|
|
|
|
|
|
| Spectroscopic Characteristics of Soil Humus Components Extracted With Acetone Hydrochloric Acid Mixture |
| SONG Ge1, 2, KONG Xiang-shi3* |
1. Sino-Russia Institute, Heilongjiang University, Harbin 150080, China
2. Institute of Earth Sciences, St. Petersburg State University, St. Petersburg 199034, Russia
3. School of Tourism, Jishou University, Jishou 416000, China
|
|
|
|
|
Abstract The components of soil humic acid (HA) and humin (HU) were extracted by acetone hydrochloric acid mixture, their elemental components were analyzed, and their spectroscopic characteristics were analyzed by UV-Vis diffuse reflectance and infrared spectroscopy. Elemental analysis showed that HA had higher carbon, hydrogen, nitrogen, and sulfur contents while having lower oxygen content than HU. Atomic ratio analysis showed that HA had a higher condensation degree and more complex molecular structure than HU. The UV-Vis diffuse reflectance spectrum analysis showed that HA and HU had no obvious characteristic peak because of the complex composition of humic substances and the mutual interference of various functional groups. The UV absorbance decreased with the increase of wavelength, and HA contained more light absorbing organic components. The UV characteristic parameters of SUV254 and E4/E6 showed that HA had higher aromaticity and humification degree than HU. Infrared spectrum analysis shows that HA and HU have similar infrared spectra. However, the absorption intensity of characteristic absorption peaks of each research object is different. The vibration amplitude of HA in soil layer of 20～40 cm cultivated black soil and 18～37 cm uncultivated gray soil is larger, indicating that they had high contents of phenolic compounds, hydroxyl functional groups, aliphatic compounds, carboxyl groups, aldehydes, ketones, ethers, carbohydrate and amine compounds. The vibration amplitude of HU in soil layer of 10～20 cm cultivated black soil and 18～37 cm uncultivated gray soil is large, indicating that they contain more phenolic compounds, carboxylic acid, aliphatic hydrocarbons and sugars. In addition, intensity comparison of each absorption peak in the infrared spectrum showed that the content of phenolic compounds, hydroxyl functional groups and aliphatic compounds in HA and HU of black soil increased after cultivation. In contrast, the content of phenolic compounds, carboxyl groups and aliphatic compounds in HA and HU of gray soil decreased after cultivation. These results showed that cultivation has relatively little impact on black soil organic matter, and to a certain extent, increased soil organic matter content, but promoted the decomposition of gray soil organic matter. In conclusion, the acetone hydrochloric acid mixture extraction method provides new technical support for studying the biochemical and physiological activities of humic substances, which provide a theoretical basis for rational utilization of soil resources.
|
|
Received: 2022-08-08
Accepted: 2022-12-07
|
|
|
|
Corresponding Authors:
KONG Xiang-shi
E-mail: kongxiangshi@126.com
|
|
[1] Canellas L P, Olivares F L, Aguiar N O, et al. Scientia Horticulturae, 2015, 196: 15.
[2] 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.
[3] TONG Li-hong, ZHU Ling, ZHAO Nan, et al(仝利红, 祝 凌, 赵 楠, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2021, 41(2): 523.
[4] SHI Ya-fang, LIU Zi-wen, DAI Yun-chao, et al(石亚芳, 刘子雯, 代允超, 等). Chinese Science Bulletin(科学通报), 2021, 66(20): 2596.
[5] Rigobello E S, Campos S X, Azevedo E R, et al. Rev. Ambient. água, 2017, 12(5): 774.
[6] Silva R R, Lucena G N, Machado A F, et al. Comunicata Scientiae, 2018, 9(2): 264.
[7] Hargitai L. Environmental International, 1994，20: 43.
[8] Kim H C, Yu M J, Han I. Appl. Geochem., 2006, 21: 1226.
[9] Kononova A M M. Oxford: Pergamon Press, 1996: 40.
[10] Stevenson F J. Humus Chemistry: Genesis, Composition, Reactions. New York: John Wiley & Sons, 1994.
[11] Saab S C, Martin-Neto L. Quim. Nova, 2007, 30(2): 260.
[12] Rigobello E S, Campos S X, Azevedo E R. Rev. Ambient. água, 2020, 12(5): 774.
[13] Samios S, Lekkas T, Nikolaou A, et al. Desalination, 2007, 210: 125.
[14] Nuzzo A, Sanchez A, Fontaine B, et al. Journal of Geochemical Exploration, 2013: 1.
[15] Zheng Yanyun, Zhang Jiabao, Tan Jun, et al. Acta Pedologicasinica, 2019, 56(2): 386.
[16] Zhu Shu, Dou Sen, Guan Song, et al. Acta Pedological Sinica, 2016, 53(1): 127.
[17] Helal Aly A, Murad G A, Helal A A. Arabian Journal of Chemistry, 2011, 4(1): 51.
|
| [1] |
ZHANG Wei-gang, PAN Lu-lu, LÜ Dan-dan. Study on Near-Infrared Spectroscopy, Mechanics and Salt Water
Resistance of Epoxy Resin-Based Near-Infrared Absorbing Coatings[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(02): 439-445. |
| [2] |
LIU Zhao-hai1, AN Xin-chen1, 3, TAO Zhi1, 2, LIU Xiang1, 2*. Multicomponent Trace Gas Detecting and Identifying System Based on MEMS-FPI on-Chip Spectral Device[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(02): 359-366. |
| [3] |
SUN He-yang1, ZHOU Yue1, 2, LI Si-jia1, 2, LI Li1, YAN Ling-tong1, FENG Xiang-qian1*. Identification of Ancient Ceramic by Convolution Neural Network[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(02): 354-358. |
| [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] |
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. |
| [6] |
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. |
| [7] |
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. |
| [8] |
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. |
| [9] |
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. |
| [10] |
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. |
| [11] |
ZHANG Shu-fang1, LEI Lei2, LEI Shun-xin2, TAN Xue-cai1, LIU Shao-gang1, YAN Jun1*. Traceability of Geographical Origin of Jasmine Based on Near
Infrared Diffuse Reflectance Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3389-3395. |
| [12] |
YANG Qun1, 2, LING Qi-han1, WEI Yong1, NING Qiang1, 2, KONG Fa-ming1, ZHOU Yi-fan1, 2, ZHANG Hai-lin1, WANG Jie1, 2*. Non-Destructive Monitoring Model of Functional Nitrogen Content in
Citrus Leaves Based on Visible-Near Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3396-3403. |
| [13] |
HUANG Meng-qiang1, KUANG Wen-jian2, 3*, LIU Xiang1, HE Liang4. Quantitative Analysis of Cotton/Polyester/Wool Blended Fiber Content by Near-Infrared Spectroscopy Based on 1D-CNN[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3565-3570. |
| [14] |
HUANG Zhao-di1, CHEN Zai-liang2, WANG Chen3, TIAN Peng2, ZHANG Hai-liang2, XIE Chao-yong2*, LIU Xue-mei4*. Comparing Different Multivariate Calibration Methods Analyses for Measurement of Soil Properties Using Visible and Short Wave-Near
Infrared Spectroscopy Combined With Machine Learning Algorithms[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3535-3540. |
| [15] |
KANG Ming-yue1, 3, WANG Cheng1, SUN Hong-yan3, LI Zuo-lin2, LUO Bin1*. Research on Internal Quality Detection Method of Cherry Tomatoes Based on Improved WOA-LSSVM[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3541-3550. |
|
|
|
|
