|
|
|
|
|
|
Effect of Amino Acids on Abiotic Synthesis of Humic Acid |
KANG Zi-tong1, 2, 3, ZHANG Sa-sa1, JIAO Zi-wei1, GAO Xin2, CHANG Yuan2, ZHANG Long-li4, CHEN Wen-jie2, XU Ting2, LI Ji2, WEI Yu-quan1, 2, 3* |
1. College of Biological Science and Technology, Yili Normal University, Yili 835000, China
2. College of Resources and Environment, China Agricultural University, Beijing 100193, China
3. Institute of Organic Cycle Research, China Agricultural University (Suzhou), Suzhou 215100, China
4. Beijing Fertile Tiandi Biotechnology Co., Ltd., Beijing 100193, China
|
|
|
Abstract The process by which organic matter is transformed and polymerized into humus through biological or chemical conversion is called humification. Both biological and abiotic pathways can drive this process. The abiotic pathway offers several advantages, including environmental friendliness, excellent catalytic performance, and controllable reaction conditions. It plays an important role in enhancing soil fertility, regulating pollutants, and improving compost quality. However, because microorganisms in compost are the primary driving force for organic matter transformation and play a dominant role, the abiotic pathway is often overlooked. Amino acids are the core structural components of humic acid substances and act as precursor substances in the abiotic pathway, participating in the phenolic protein and Maillard systems, and promoting the polymerization of small organic monomer molecules to form humic acid substances. Previous studies have shown that the formation of humus generally requires the participation of amino acids in the synthesis reaction, continuously condensing to form large molecular polymers. However, the effects of different amino acid types and concentrations on abiotic humification remain unclear. Therefore, in this study, catechol and glucose were used as the reaction substrates for the phenolic protein pathway and the Maillard pathway, respectively. The extraction solutions of the reaction products were analyzed by ultraviolet-visible spectroscopy and three-dimensional fluorescence spectroscopy. The aim was to elucidate the mechanism of amino acid precursor substances on the abiotic formation of humic acid and to investigate the effects of various types and concentrations of amino acids on the humification process. The results showed that at the end of the reaction, the concentration of humic acid-like substances (HLA) in the phenolic protein theoretical system with lysine participation was the highest, reaching 120 mg·L-1. In the Maillard systems with different amino acids, only the tryptophan addition system showed accumulation of HLA, indicating that aromatic amino acids are conducive to the direct synthesis of humic acid-like substances in the Maillard system. Ultraviolet-visible absorption spectroscopy and three-dimensional fluorescence spectroscopy indicated that lysine made a greater contribution to the aromatization degree of humic acid in the abiotic synthesis pathway. With the increase in lysine concentration, the content of fulvic acid-like substances (FLA) in each abiotic humic acid formation system also increased. When the lysine concentration was 0.025 and 0.05 mol·L-1, HLA was produced in the phenolic protein system at 24 hours into the reaction. Under the same lysine concentration, the Maillard theoretical pathway had the highest FLA content at the end of the reaction. In contrast, the phenolic protein system yielded the highest HLA and had the highest humic-to-fulvic acid ratio (DP). A comprehensive analysis indicated that the phenolic protein system had a more effective impact on the abiotic synthesis of humic acid compared to the Maillard system. This study revealed the influence of amino acid types and concentrations on the humification process of compost, providing theoretical support for further regulating the degree of compost humification and enhancing the synthesis of humic acid under the phenolic-protein theory.
|
Received: 2024-08-22
Accepted: 2025-01-09
|
|
Corresponding Authors:
WEI Yu-quan
E-mail: weiyq2019@cau.edu.cn
|
|
[1] Kang K H, Shin H S, Park H. Water Research, 2002, 36(16): 4023.
[2] Wu J, Yao W, Zhao L, et al. Journal of Cleaner Production, 2022, 363: 132470.
[3] Zhu N, Zhu Y, Liang D, et al. Journal of Cleaner Production, 2021, 315: 128211.
[4] Spaccini R, Cozzolino V, Di Meo V, et al. Science of the Total Environment, 2019, 646: 792.
[5] WEI, Zi-min, WU Jun-qiu, ZHAO Yue, et al(魏自民,吴俊秋,赵 越, 等). Journal of Environmental Engineering Technology(环境工程技术学报), 2016, 6(4): 377.
[6] Tan M, Parkin J E. International Journal of Pharmaceutics, 2000, 208(1-2): 23.
[7] Tan K H. Humic Matter in Soil and the Environment: Principles and Controversies: CRC Press, 2003.
[8] Fukushima M, Miura A, Sasaki M, et al. Journal of Molecular Structure, 2009, 917(2-3): 142.
[9] Nishimoto R, Fukuchi S, Qi G, et al. Colloids and Surfaces A: Physicochemical and Engineering Aspects, 2013, 418: 117.
[10] Bianco A, Minella M, De Laurentiis E, et al. Chemosphere, 2014, 111: 529.
[11] Zhang Z, Zhao Y, Yang T, et al. Bioresource Technology, 2019, 291: 121882.
[12] Reemtsma T, These A, Springer A, et al. Environmental Science & Technology, 2006, 40(19): 5839.
[13] LUAN Fu-bo,XIE Li,LI Jun, et al(栾富波,谢 丽,李 俊, 等). Chemical Bulletin(化学通报), 2008, 71(11): 833.
[14] Zhou X, Li J, Zhang J, et al. Science of the Total Environment, 2022, 830: 154783.
[15] Fu M, Cao Z, Sun R, et al. Bioresource Technology, 2023, 380: 129125.
[16] Chang Chien S W, Chen H L, Wang M C, et al. Chemosphere, 2009, 74(8): 1125.
[17] Wang M, Li Y, Peng H, et al. Renewable and Sustainable Energy Reviews, 2023, 187: 113771.
[18] Chen W, Westerhoff P, Leenheer J A, et al. Environmental Science & Technology, 2003, 37(24): 5701.
[19] JIN Wujisiguleng,XUE Shuang, WANG Zhi, et al(金乌吉斯古楞, 薛 爽,王 智,等). Acta Scientiae Circumstantiae(环境科学学报), 2014, 34(9): 2298.
[20] Mu D, Wang C, Geng X, et al. Chemosphere, 2024, 353: 141560.
[21] Li Y, Wang Y, Liu Z, et al. Journal of Molecular Modeling, 2024, 30(9): 312.
[22] GUAN Qin-hao,TANG Li-hua,ZHANG Liang-liang, et al(管勤昊,汤丽华,张亮亮, 等). Food Research & Development(食品研究与开发), 2023, 44(23): 182. |
[1] |
LIU Shi-jie1, 2, YANG Juan2, 3*, WANG Ke-qin1. Composition, Distribution and Source Analysis of Dissolved Organic
Matter in the Water Body of a Typical Agricultural Watershed
in the Headwaters of Chishui River[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2025, 45(06): 1782-1790. |
[2] |
GUAN Li-chang1, 2, FENG Lei2, 3, ZHAO Nan1*, JIANG Xue-mei2*. Study of Fenfluramine Molecule Based on the Density Functional Theory[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2025, 45(05): 1270-1276. |
[3] |
ZHAO Yu-xia1, ZHANG Ming-jin1, 3*, WANG Ru1, ZHANG Shi-zhi2, YIN Bo1, 3. Discriminative Study on Huzhu Qingke Liquor by Back Propagation
Neural Network Combined With Ultraviolet-Near Infrared Fusion
Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2025, 45(05): 1290-1299. |
[4] |
HOU Chao-xin, QU Xin-yue, XIA Su-qin, HAN Hao-chang, WANG Yu-long, ZHANG Hao, LAI Xiao-jing*. Fluorescent Spectroscopic Features of “Trapiche-Like” Sapphire From Mingxi,Fujian Province[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2025, 45(04): 1103-1108. |
[5] |
ZHANG Chen-xue1, 2, DUAN Meng-wei3, YAN Nuo-xiao2, 4, QIU Zhi-qiang5, 6, TANG Deng-miao2, LIU Dong2*. River Inputs as Determining Factor for the Spatiotemporal Variations of DOM Composition in Drinking Water Source Reservoirs[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2025, 45(04): 1175-1182. |
[6] |
SHI Chuan-qi1, LI Yan2, WEI Dan2, CHEN Xi1, LI Zi-wei3*. Fluorescence Spectral Characteristics of Dissolved Organic Matter in Landscape Overlying Water of Urban Park[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2025, 45(03): 894-900. |
[7] |
LI Min1, YIN Xiong1, LIU Xue-jing1, MA Shi-yi1, ZHOU Yan1*, CHONG Dao-tong1, XIONG Bing2, LI Kun2. Study on Detection of Gas Void Fraction in Oil-Gas Two-Phase Flow Based on Ultraviolet Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2025, 45(02): 522-531. |
[8] |
CHEN Ji-wen, CHEN Zuo-er*, ZHAO Ying*. A High-Sensitivity Full-Spectrum Spectrometer Based on a Cylindrical Lens Focusing System[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2025, 45(01): 222-230. |
[9] |
SHI Chuan-qi1, LI Yan2, MENG Ling-bo1, HU Yu3, JIN Liang2*. Characteristics of Dissolved Organic Matter Fluorescence Components in Wetland Surface Sediment and Their Correlation With Fungal Communities[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2025, 45(01): 191-196. |
[10] |
LIU Han1, 2, MA Ting-ting1, WAN Li1, CHEN Xiao-fen1, ZHOU Guo-peng3, SUN Jin-xin3, ZHU An-fan4, LI Yan-li2, LIU Jia1*. Association Between Association Between DOM Composition
Characteristics and CH4 Emission of Chinese Milk Vetch
Amended Under Different Water Management[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(12): 3435-3442. |
[11] |
WANG Xiao-yan1, 2, JIANG Zhe-zhen1, JI Ren-dong1, 2*, BIAN Hai-yi1, 2, HE Ying1, CHEN Xu1, XU Chun-xiang3. Detection and Analysis of Mixed Organic Pesticides Based on
Three-Dimensional Fluorescence Spectroscopy and PARAFAC[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(11): 3082-3089. |
[12] |
YANG Guang1, PAN Hong-wei1*, TONG Wen-bin1, WANG Ke-ke2, CHEN Hui-ru1, WANG Yi-fei1, KONG Hai-kang1, WANG Xiao-wan1, LEI Hong-jun1*. The Impact of Applying Chicken Manure on Nutrient Release From Wheat Straw and the Evolution of Dissolved Organic Matter in Soil[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(11): 3186-3194. |
[13] |
JIANG Hai-yang1, 3, CUI Yao-yao2, JIA Yan-guo1*, CHEN Zhi-peng3. Identification of Adulterated Edible Oils Based on 3D Fluorescence
Spectroscopy Combined With 2D-LDA[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(11): 3179-3185. |
[14] |
ZHANG Jia-wei1, WU Dong-sheng1, ZHOU Yang2, LI Yang2, 3, 4, SUN Lan-xiang2, 3, 4*. Study on the Influence of Argon Environment on the Determination of C, P and S Elements in Steel by Laser-Induced Breakdown Spectrometry[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(10): 2834-2839. |
[15] |
SHI Chuan-qi1, LI Yan2, HU Yu3, MENG Ling-bo1, JIN Liang2, YU Shao-peng1*. Fluorescence Spectral Characteristics of Forest Soil Dissolved Organic Matter and Its Correlation With Heavy Metal[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(10): 2884-2889. |
|
|
|
|