Yaoning Chen
Hunan University
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Featured researches published by Yaoning Chen.
Bioresource Technology | 2011
Jiachao Zhang; Guangming Zeng; Yaoning Chen; Man Yu; Zhen Yu; Hui Li; Yong Yu; Hongli Huang
The goal of this study was to identify and prioritize some of the physico-chemical parameters that contributed to bacterial and fungal community compositions during agricultural waste composting. Relationships between those parameters and microbial community compositions determined by PCR-DGGE were simultaneously evaluated by redundancy analysis (RDA). The results showed that the temporal variation of bacterial community composition was significantly related to water soluble carbon (WSC), ammonium and nitrate (P<0.05), while the most variation in distribution of fungal community composition was statistically explained by pile temperature, WSC, and moisture content (P<0.05). Significant amounts of the variation (54.9% and 56.0% for bacterial and fungal species data, respectively) were explained by those parameters, suggesting that those parameters were the most likely ones to influence, or be influenced by the bacterial and fungal species. Variation partitioning analyses indicated that WSC and pile temperature showed predominant effect on the bacterial and fungal community composition, respectively.
Bioresource Technology | 2010
Guangming Zeng; Man Yu; Yaoning Chen; Danlian Huang; Jiachao Zhang; Hongli Huang; Rongqing Jiang; Zhen Yu
The effect of inoculation times on the enzyme activities during agricultural waste composting was determined. Four runs were used: without inoculation (Run A), inoculation with Phanerochaete chrysosporium (P. chrysosporium) during the first fermentation phase (Run B), inoculation during the second fermentation phase (Run C) and inoculation during both the first and the second fermentation phase (Run D). The results revealed that the effect of inoculation on carboxy methyl cellulase (CMCase) activities was negative during the first fermentation phase. The inoculation increased the activities of xylanase (almost 3000 U/g) during the first fermentation phase but no obvious difference among Runs A-D was observed during the second fermentation phase. The peak values of manganese peroxidase (MnP) in Runs C and D were three times higher than those of Runs A and B on day 21. The inoculation positively affected the lignin peroxidase (LiP) activities during the first fermentation phase and had a significant negative effect on the laccase (Lac) activities during the second fermentation phase. Therefore, the inoculation during the second fermentation phase was more effective than that during the first fermentation phase.
Bioresource Technology | 2011
Guangming Zeng; Jiachao Zhang; Yaoning Chen; Zhen Yu; Man Yu; Hui Li; Zhifeng Liu; Ming Chen; Lunhui Lu; Chunxiao Hu
The aim of this study was to compare the relative contribution of ammonia-oxidizing archaea (AOA) and bacteria (AOB) to nitrification during agricultural waste composting. The AOA and AOB amoA gene abundance and composition were determined by quantitative PCR and denaturing gradient gel electrophoresis (DGGE), respectively. The results showed that the archaeal amoA gene was abundant throughout the composting process, while the bacterial amoA gene abundance decreased to undetectable level during the thermophilic and cooling stages. DGGE showed more diverse archaeal amoA gene composition when the potential ammonia oxidation (PAO) rate reached peak values. A significant positive relationship was observed between the PAO rate and the archaeal amoA gene abundance (R²=0.554; P<0.001), indicating that archaea dominated ammonia oxidation during the thermophilic and cooling stages. Bacteria were also related to ammonia oxidation activity (R²=0.503; P=0.03) especially during the mesophilic and maturation stages.
Bioresource Technology | 2011
Guangming Zeng; Zhen Yu; Yaoning Chen; Jiachao Zhang; Hui Li; Man Yu; Mingjie Zhao
Two composting piles were prepared by adding to a mixture of rice straw, vegetables and bran: (i) raw soil free from pentachlorophenol (PCP) contamination (pile A) and (ii) PCP-contaminated soil (pile B). It was shown by the results that compost maturity characterized by water soluble carbon (WSC), TOC/TN ratio, germination index (GI) and dehydrogenase activity (DA) was significantly affected by PCP exposure, which resulted in an inferior degree of maturity for pile B. DGGE analysis revealed an inhibited effect of PCP on compost microbial abundance. The bacteria community shifts were mainly consistent with composting factors such as temperature, pH, moisture content and substrates. By contrast, the fungal communities were more sensitive to PCP contamination due to the significant correlation between fungal community shifts and PCP removal. Therefore, the different microbial community compositions for properly evaluating the degree of maturity and PCP contamination were suggested.
Bioresource Technology | 2017
Lihua Zhang; Guangming Zeng; Haoran Dong; Yaoning Chen; Jiachao Zhang; Ming Yan; Yuan Zhu; Yujie Yuan; Yankai Xie; Zhenzhen Huang
This study evaluated the influence of silver nanoparticles (AgNPs) on evolutions of organic matter and nitrogen during co-composting of sewage sludge and agricultural waste. Two co-composting piles were conducted, one was treated without AgNPs (pile 1) and the other with AgNPs (pile 2). Results showed that the AgNPs affected the quality of final composts. Less organic matter (OM) losses were determined in pile 2 (57.96%) than pile 1 (61.66%). 27.22% and 30.1% of the initial total organic matter (TOC) was decomposed in pile 1 and pile 2, respectively. The final water soluble carbon (WSC) concentration in pile 2 was 23559.27mg/kg DW compost which was significantly lower than pile 1 (25642.75mg/kg DW compost). Changes of different forms of nitrogen in the two piles showed that AgNPs could reduce the losses of TN but increase the losses of mineral N.
Applied Microbiology and Biotechnology | 2015
Lihua Zhang; Guangming Zeng; Jiachao Zhang; Yaoning Chen; Man Yu; Lunhui Lu; Hui Li; Yuan Zhu; Yujie Yuan; Aizhi Huang; Ling He
The present research was performed to clarify the changes of denitrifying genes (nirK, nirS, and nosZ) abundances under different physico-chemical parameters through evaluating the relationships between the genes abundances and parameters during agricultural waste composting. The genes abundances were determined by real-time quantitative PCR (qPCR). The correlations between physico-chemical parameters and denitrifying genes abundances were analysed by regression analysis. qPCR results showed that the nosZ gene abundance was higher than that of nirK and nirS genes. The nirK gene abundance was higher than nirS gene indicating that nitrite reducers with Cu-containing enzyme encoded by nirK gene were more of importance than those with cytochrome cd1 nitrite reductase encoded by nirS gene in the nitrite reduction step. Regression analysis suggested that (1) nirK gene abundance was correlated with pile temperature following quadratic model; (2) nirS gene abundance was linearly correlated with pile temperature and concentration of NH4+, while correlated with concentration of NO3− and pH following inverse and quadratic model respectively; (3) nosZ gene abundance was quadratically correlated with pH and linearly correlated with water soluble carbon (WSC).
Bioresource Technology | 2017
Yaoning Chen; Yao Liu; Yuanping Li; Yanxin Wu; Yanrong Chen; Guangming Zeng; Jiachao Zhang; Hui Li
Studies were performed to evaluate influence of biochar addition on physico-chemical process, heavy metals transformation and bacterial community diversity during composting of sediment with agricultural wastes. Simultaneously, the relationships between those parameters including heavy metals and bacterial community compositions were evaluated by redundancy analysis (RDA). The results show that the extraction efficiency of DTPA extractable heavy metals decreased in both piles, and reduced more in pile with biochar addition about 0.1-2.96%. Biochar addition dramatically influenced the bacterial community structure during the composting process. Moreover, the bacterial community composition was significantly correlated with C/N ratio, water soluble carbon (WSC), and organic matter (OM) (P<0.05) in pile with biochar addition; while significantly correlated with temperature, WSC, and C/N ratio in pile which was free of biochar. This study would provide some valuable information for improving the composting for disposal of river sediment with heavy metals contamination.
Environmental Science and Pollution Research | 2015
Yaoning Chen; Jingxia Huang; Yuanping Li; Guangming Zeng; Jiachao Zhang; Aizhi Huang; Jie Zhang; Shuang Ma; Xuebin Tan; Wei Xu; Wei Zhou
This study was conducted to investigate the biodegradation ability of the mixed culture of Trichoderma viride and Aspergillus niger through the study of the organic matter extracted from rice straw and the lignocellulose structure by using gas chromatography–mass spectrometer (GC-MS) and Fourier transform infrared spectroscopy (FTIR). The results of the GC-MS showed that the mixed culture possessed shorter alkane (heptane) at the end of the incubation and more kinds of organic matter (except the alkanes, 29 kinds of organic matter were detected) than the pure cultures. It could be deduced that the organic matter could indicate the degradation degree of the lignocellulose to some extent. Moreover, pinene was detected in the mixed culture on days 5 and 10, which might represent the antagonistic relationship between T. viride and A. niger. The analysis of FTIR spectrums which indirectly verified the GC-MS results showed that the mixed culture possessed a better degradation of rice straw compared with the pure culture. Therefore, the methods used in this research could be considered as effective ones to investigate the lignocellulose degradation mechanism in mixed culture.
Bioresource Technology | 2018
Guangming Zeng; Lihua Zhang; Haoran Dong; Yaoning Chen; Jiachao Zhang; Yuan Zhu; Yujie Yuan; Yankai Xie; Wei Fang
Polyvinylpyrrolidone coated silver nanoparticles (PVP-AgNPs) were applied at different concentrations to reduce total nitrogen (TN) losses and the mechanisms of nitrogen bio-transformation were investigated in terms of the nitrogen functional enzymes and genes. Results showed that mineral N in pile 3 which was treated with AgNPs at a concentration of 10 mg/kg compost was the highest (6.58 g/kg dry weight (DW) compost) and the TN loss (47.07%) was the lowest at the end of composting. Correlation analysis indicated that TN loss was significantly correlated with amoA abundance. High throughput sequencing showed that the dominant family of ammonia-oxidizing bacteria (AOB) was Nitrosomonadaceae, and the number of Operational Taxonomic Units (OTUs) reduced after the beginning of composting when compared with day 1. In summary, treatment with AgNPs at a concentration of 10 mg/kg compost was considerable to reduce TN losses and reserve more mineral N during composting.
Bioresource Technology | 2018
Lihua Zhang; Jiachao Zhang; Guangming Zeng; Haoran Dong; Yaoning Chen; Chao Huang; Yuan Zhu; Rui Xu; Yujun Cheng; Kunjie Hou; Weicheng Cao; Wei Fang
This study evaluated the contributions of environmental variables to the variations in bacterial 16S rDNA, nitrifying and denitrifying genes abundances during composting in the presence of polyvinylpyrrolidone coated silver nanoparticles (PVP-AgNPs). Manual forward selection in redundancy analysis (RDA) indicated that the variation in 16S rDNA was significantly explained by NO3--N, while nitrifying genes were significantly related with pH, and denitrifying genes were driven by NO3--N and TN. Partial RDA further revealed that NO3--N solely explained 28.8% of the variation in 16S rDNA abundance, and pH accounted for 61.8% of the variation in nitrifying genes. NO3--N and TN accounted for 34.2% and 9.2% of denitrifying genes variation, respectively. The RDA triplots showed that different genes shared different relationships with environmental parameters. Based on these findings, a composting with high efficiency and quality may be conducted in the future work by adjusting the significant environmental variables.