|
|
|
|
|
|
| Impact of Different Oxygen Concentrations on the Spectral Characteristics of Iron Oxide-Enhanced Abiotic Humification Products |
| ZHANG Ying-chao1, 2, 3, BI Zhi-tao1, TIAN Wen-xin1, XU Rui2, TANG Shou-feng1, SHI Hong-ying4, ZHANG Hong-qiong5* |
1. School of Environmental and Chemical Engineering, Yanshan University, Qinhuangdao 066004, China
2. Yunnan Provincial Rural Energy Engineering Key Laboratory, Kunming 650500, China
3. Key Laboratory of Heavy Metal Remediation and Resource Utilization in Water Bodies in Hebei Province, Qinhuangdao 066004, China
4. Heilongjiang Boneng Green Energy Technology Co., Ltd., Harbin 150030, China
5. College of Engineering, Northeast Agricultural University, Harbin 150030, China
|
|
|
|
|
Abstract Humification is a carbon sequestration process where organic residues are transformed into humic substances (HS) through microbial conversion or chemical oxidation and polymerization. The active functional groups present in the resulting humic acids (HA) significantly impact the environmental chemical behavior of pollutants. Natural minerals containing Mn/Fe/Al/Si oxides can facilitate the oxidative polymerization of organic monomeric small molecules (e.g., polyphenols, reducing sugars, amino acids) into HA. Oxygen, as a natural oxidant, can synergistically enhance non-biological humification in the presence of metal oxides and improve the quality of the resulting HA. However, the mechanisms of abiotic humification enhancement by metal oxides under varying oxygen atmospheres and the impact on the evolution of organic matter remain unclear. This study used catechol and glycine as representative precursors for polyphenol and protein degradation, respectively, with iron oxide enhancing humification reactions. Solution and extracted HA samples were analyzed by ultraviolet-visible spectroscopy (UV-Vis), Fourier-transform infrared spectroscopy (FTIR), and X-ray photoelectron spectroscopy (XPS) during the reaction process. The results indicated that the aromatization of organic matter, as indicated by UV254, followed the order of 21%>40%>0% oxygen concentration. HA yields mirrored the UV254 findings, with an approximately 25% increase in HA production observed at 21% oxygen concentration compared to 40% and 0% oxygen concentrations. XPS spectroscopic analysis revealed that 21% oxygen concentration promoted the conversion of amino group N to pyrrole N in HA. In comparison, 40% oxygen concentration facilitated the conversion of amino group N to amide N, and under 0% oxygen concentration, a substantial amount of amino group N remained in HA. FTIR analysis indicated that ·OH generated from the aromatic compound ring cleavage contributed to oxygen-containing functional groups(C═O, COOH) in HA. FTIR combined with hyperspectral 2D maps from UV-Vis suggested that oxygen's involvement promoted the conversion of amino acids into C═O in HA and the transformation of amides into aromatic and aliphatic moieties in HA. Structural equation modeling (SEM) indicated that releasing iron ions was a key factor in promoting HA yield, and 21% oxygen concentration accelerated organic matter polymerization by enhancing iron ion release. Furthermore, the divalent iron/trivalent iron ratio was negatively correlated with HA yield, implying that oxygen indirectly affected humification by promoting iron ion conversion. In conclusion, changes in oxygen concentration affect the transformation of humification products, subsequently influencing HA yield and functional group composition. This study reveals the impact of oxygen concentration on humification products, offering references for refining humification theory.
|
|
Received: 2022-11-10
Accepted: 2023-01-30
|
|
|
|
Corresponding Authors:
ZHANG Hong-qiong
E-mail: zhhqiong@163.com
|
|
[1] Shindo H, Huang P. Nature, 1982, 298: 363.
[2] Zhang Y, Yue D, Fang D, et al. Chemosphere, 2021, 263: 127956.
[3] Zhang Y, Yue D, Wang X, et al. Journal of Environmental Sciences, 2019, 7: 167.
[4] Zou J, Huang J, Yue D, et al. Chemical Engineering Journal, 2021, 393: 124734.
[5] Zhang Y, Yue D, Lu X, et al. Journal of Material Cycles and Waste Management. 2017, 19: 585.
[6] Yu M, Hua Y, Sarwar M T, et al. Environmental Science & Technology, 2022, 57(1): 286.
[7] Wang Y, Hao W, He J, et al. Nature Communications, 2017, 8: 15972.
[8] Loeff I, Stein G. Nature，1959, 184: 901.
[9] Edge R, Truscott T J J O. Oxygen, 2021, 1: 77.
[10] Zhang Y, Bi Z, Tian W, et al. Journal of Environmental Management, 2023, 348: 119312.
[11] Zhang X, Zong Y, Xu L, et al. Chemical Engineering Journal, 2021, 425: 130521.
[12] Yazdanbakhsh A, Kermani M, Komasi S, et al. Environmental Health Engineering and Management Journal, 2015, 2: 53.
[13] Xiao J, Hai L, Li Y, et al. Small, 2022, 18: 2105465.
[14] Han R, Lv J, Huang Z, et al. Environmental Science & Technology, 2021, 54: 902.
[15] Liu S, Wang Q, Guan Q, et al. Chemical Engineering Journal, 2019, 374: 637.
[16] Noda I, Ozaki Y. John Wiley & Sons Ltd. Press, 2005. 15.
[17] LU Ze, XI Bei-dou, TAI De-zhi, et al（卢 泽，席北斗，台德志，等）. Spectroscopy and Spectral Analysis（光谱学与光谱分析），2022, 42（7）：2120.
[18] Hoang B, Truong H, Hong S, et al. Journal of Cleaner Production, 2023, 402: 136832.
[19] Zhang Y, Xu Y, Yu X, et al. Bioresource Technology，2023, 352：129226.
|
| [1] |
ZHANG Xiao-kai1, JIANG Rui-feng2, FU Xiao-xue2, LIU Zhong-min3*. Preparation, Characterization and Catalytic Properties of
ZnO/ZnSe Composites[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(04): 1005-1010. |
| [2] |
YANG Ke-li1, 2, PENG Jiao-yu1, 2, DONG Ya-ping1, 2*, LIU Xin1, 2, LI Wu1, 3, LIU Hai-ning1, 3. Spectroscopic Characterization of Dissolved Organic Matter Isolated From Solar Pond[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3775-3780. |
| [3] |
LI Chen-xi1, SUN Ze-yu1, 2, ZHAO Yu2*, YIN Li-hui2, CHEN Wen-liang1, 3, LIU Rong1, 3, XU Ke-xin1, 3. The Research Progress of Two-Dimensional Correlation Spectroscopy and Its Application in Protein Substances Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 1993-2001. |
| [4] |
ZHOU Ao1, 2, YUE Zheng-bo1, 2, LIU A-zuan1, 2, GAO Yi-jun3, WANG Shao-ping3, CHUAI Xin3, DENG Rui1, WANG Jin1, 2*. Spectral Analysis of Extracellular Polymers During Iron Dissimilar
Reduction by Salt-Tolerant Shewanella Aquimarina[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1320-1328. |
| [5] |
AN Huan-jiong1, ZHAI Chen2, MA Qian-yun1, ZHANG Fan1, WANG Shu-ya2, SUN Jian-feng1, WANG Wen-xiu1*. Quantitative Characterization of Wheat Starch Retrogradation by
Combining 2D-COS and Spectral Fusion[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(01): 162-168. |
| [6] |
HAO Jie, DONG Fu-jia, WANG Song-lei*, LI Ya-lei, CUI Jia-rui, LIU Si-jia, LÜ Yu. Rapid Detection of Pesticide Residues on Navel Oranges by Fluorescence Hyperspectral Imaging Technology Combined With Characteristic Wavelength Selection[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(12): 3789-3796. |
| [7] |
LI Yue1, LIU Gui-shan1*, FAN Nai-yun1*, HE Jian-guo1, LI Yan1, SUN You-rui1, PU Fang-ning2. A Combination of Hyperspectral Imaging With Two-Dimensional Correlation Spectroscopy for Monitoring the Hemicellulose Content in Lingwu Long Jujube[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(12): 3935-3940. |
| [8] |
PAN Hong-wei, TONG Wen-bin, LEI Hong-jun*, YANG Guang, SHI Li-li. Spectral Analysis of the Effect of Organic Fertilizer Application on the
Evolution of Organic Matter and Nitrogen in Farmaland[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(10): 3116-3123. |
| [9] |
ZHANG Xiao-teng, LIU Wei, LIU Hai-feng*, ZHENG Zun-qing, MING Zhen-yang, CUI Yan-qing, WEN Ming-sheng, YAO Ming-fa. Intensity Distribution and Inversion Reconstruction of Spectrum of
Hydroxyl Radicals in Spray Combustion of PODE Under Different
Environmental Oxygen Concentrations[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(08): 2587-2594. |
| [10] |
JING Jian-yuan, YUAN Liang, ZHANG Shui-qin, LI Yan-ting, ZHAO Bing-qiang*. Multispectral Structural Characterization of Humic Acid-Enhanced Urea[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(08): 2610-2615. |
| [11] |
LI Huan-tong1, 2, ZHU Zhi-rong1, 2, QIAO Jun-wei1, 2, LI Ning3, YAO Zheng3, HAN Wei1, 2. Molecular Representations of Jurassic-Aged Vitrinite-Rich and
Inertinite-Rich Coals in Northern Shannxi Province by
FTIR, XPS and 13C NMR[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(08): 2624-2630. |
| [12] |
PENG Yan-fang1, WANG Jun1, WU Zhi-sheng2*, LIU Xiao-na3, QIAO Yan-jiang2*. NIR Band Assignment of Tanshinone ⅡA and Cryptotanshinone by
2D-COS Technology and Model Application Tanshinone Extract[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1781-1785. |
| [13] |
FAN Nai-yun, LIU Gui-shan*, ZHANG Jing-jing, YUAN Rui-rui, SUN You-rui, LI Yue. Rapid Determination of TBARS Contents in Tan Mutton Using Hyperspectral Imaging[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(03): 713-718. |
| [14] |
GAO Le-le1, ZHONG Liang1, DONG Hai-ling1, LAI Yu-qiang5, LI Lian1,3*, ZANG Heng-chang1, 2, 3, 4*. Characterization of Moisture Absorption Process of Stevia and Rapid Determination of Rebaudioside a Content by Using Near-Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(02): 415-422. |
| [15] |
TANG Ming-zhu1, WANG Zhi-ying1, WANG Yun-shan2*, BAO Wei-jun2, YANG Gang2, SUN Yong3. Characterization of the Impurity Phases in Phosphogypsum by the EBSD-XPS Method[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(01): 136-140. |
|
|
|
|
