Literature DB >> 23240407

[Characterization of soil humus by FTIR spectroscopic analyses after being inoculated with different microorganisms plus wheat straw].

Shuail Wang1, Sen Dou, Yan-Li Liu, Hui-Min Li, Jun-Tao Cui, Wei Zhang, Cheng-Yu Wang.   

Abstract

The effects of different microbial communities on the structural characteristics of humus from the black soil amended with wheat straw were studied by FTIR Spectroscopy. The results indicated that (1) The structure and amount of functional groups in the water soluble substances (WSS) was tremendously influenced by the tested microorganisms, of which the amino and aryl ether was degraded rapidly in the inoculation process, and in the meantime, the content of hydroxyl groups was significantly reduced. The bacteria was helpful to increasing the amount of aliphatic hydrocarbons, while the other inoculated treatments were contrary. At the end of culture, the phenols and polysaccharides were gradually consumed, but the content of carboxyl groups had an increasing trend. (2) In the aspect of reducing hydroxyl groups of fulvic acid (FA), the role of actinomycetes was the biggest. The fungi had the biggest effect in improving the net generation of FA content. In addition, the fungi was conducive to improve the contents of carboxyl groups and carbohydrates of FA fraction. Except the mixed strains, the other treatments were all beneficial to the degradation of polysaccharide in the FA fraction, whose rate was greater than the decomposition of lipids. (3) The bacteria, actinomycetes and fungi were all helpful to reducing the amount of aliphatic hydrocarbons of HA fraction except the mixed strains. The content of carboxyl was effectively increased by fungi, but the effect of bacteria was contrary. The tested microorganisms could consume and utilize the polysaccharides of HA fraction, which could transform the humic-like fractions from plant residues into the real humus of soil.

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Year:  2012        PMID: 23240407

Source DB:  PubMed          Journal:  Guang Pu Xue Yu Guang Pu Fen Xi        ISSN: 1000-0593            Impact factor:   0.589


  2 in total

1.  Simulation and Prediction of Fungal Community Evolution Based on RBF Neural Network.

Authors:  Xiao-Wei Cai; Ya-Qian Bao; Ming-Feng Hu; Jia-Bao Liu; Jia-Ming Zhu
Journal:  Comput Math Methods Med       Date:  2021-10-08       Impact factor: 2.238

Review 2.  Interactions between Humic Substances and Microorganisms and Their Implications for Nature-like Bioremediation Technologies.

Authors:  Natalia A Kulikova; Irina V Perminova
Journal:  Molecules       Date:  2021-05-05       Impact factor: 4.411

  2 in total

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