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Li Y, Zong S, Jing H, Gao N, Ye H, Chen J. The influence of ventilation modes on oil mist particles diffusion in a machining workshop. Heliyon 2024; 10:e26963. [PMID: 38449661 PMCID: PMC10915523 DOI: 10.1016/j.heliyon.2024.e26963] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 02/20/2024] [Accepted: 02/22/2024] [Indexed: 03/08/2024] Open
Abstract
Mechanical processing and operations are widely involved in modern industry. Large amount of oil mist is tended to be produced and will diffuse in the processing workshop when metalworking fluids are applied on the high temperature workpiece. The ventilation modes and air distributions can influence the air pollutants dilution in machining workshops. Therefore, this paper presents both experimental investigation and simulation study on the oil mist particles diffusion under different ventilation modes. The results identified PM2.5 as the primary component among different oil mist particles generated during a typical machining process. The distribution of oil mist particles in a full-scale machining workshop laboratory was investigated under two ventilation modes: high-sidewall nozzle air supply and low-sidewall air supply. Results revealed obvious influences of both air supply modes on the distribution of oil mist particles. Under the high-sidewall-nozzle air supply mode, the airflow and the oil mist distribution in the workshop was relatively uniform; while the low-sidewall-vent air supply mode led to an uneven distribution of oil mist particles, and the maximum oil mist concentration appeared at the height of 3 m. Under both modes, the attempts to increase the airflow rate are not always successful. Compared with low-sidewall-vent air supply mode, the high-sidewall-nozzle air supply mode presents better performance in achieving lower overall particle concentration level. Overall, the results of this study give useful reference to improve the air quality of industrial plant by properly designing the ventilation mode of machining workshop.
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Affiliation(s)
- Yilin Li
- School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai, China
| | - Shiji Zong
- School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai, China
| | - Huaiwang Jing
- School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai, China
| | - Nan Gao
- School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai, China
| | - Heping Ye
- School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai, China
| | - Jianbo Chen
- School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai, China
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Chen H, Yan H, Xiu Y, Jiang L, Zhang J, Chen G, Yu X, Zhu H, Zhao X, Li Y, Tang W, Zhang X. Seasonal dynamics in bacterial communities of closed-cage broiler houses. Front Vet Sci 2022; 9:1019005. [PMID: 36406086 PMCID: PMC9669973 DOI: 10.3389/fvets.2022.1019005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2022] [Accepted: 10/25/2022] [Indexed: 11/06/2022] Open
Abstract
The bacteria contained in air aerosols from poultry houses are closely connected to animal health and production. This study aimed to investigate the seasonal factors on microbial aerosol concentration, particle size and bacterial spectrum composition inside a closed-cage broiler house. Then, 16S rDNA sequencing technology was applied to analyze the characteristics of bacterial abundance and diversity. The results indicated that the concentration of bacterial aerosol in the broiler house varied significantly in different seasons, with a concentration range of 5.87–15.77 × 103 CFU/m3, and the highest and lowest concentrations in the summer and winter, respectively. Microbiological analysis showed that the proportion of Gram-negative bacteria in autumn was significantly higher than that in summer (P < 0.05). In addition, the floral structure of potential pathogenic bacterial genera also differed by season. Escherichia-Shigella, Streptococcus, Acinetobacter, Pseudomonas were identified in the bacterial aerosols. Importantly, the relative abundance of Firmicutes in spring and autumn was much higher. In contrast, the relative abundance of Proteobacteria in spring and autumn was lower than that in summer and winter. Altogether, results revealed the effects of seasonal factors on the diversity and abundance of bacteria and the distribution characteristics of major opportunistic pathogens in the air of closed-cage broiler houses. These results will provide important information for exploring the potential risk of aerosols from poultry houses all four seasons.
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Affiliation(s)
- Huan Chen
- College of Life Science, Ludong University, Yantai, Shandong, China
- Shandong Breeding Environmental Control Engineering Laboratory, Ludong University, Yantai, China
| | - Han Yan
- College of Life Science, Ludong University, Yantai, Shandong, China
- Shandong Breeding Environmental Control Engineering Laboratory, Ludong University, Yantai, China
| | - Yan Xiu
- Clinical Lab, Yantai Affiliated Hospital of Binzhou Medical University, Yantai, China
| | - Linlin Jiang
- College of Life Science, Ludong University, Yantai, Shandong, China
- Shandong Breeding Environmental Control Engineering Laboratory, Ludong University, Yantai, China
- Yantai Key Laboratory of Animal Pathogenetic Microbiology and Immunology, Ludong University, Yantai, China
- *Correspondence: Linlin Jiang
| | - Jianlong Zhang
- College of Life Science, Ludong University, Yantai, Shandong, China
- Shandong Breeding Environmental Control Engineering Laboratory, Ludong University, Yantai, China
- Yantai Key Laboratory of Animal Pathogenetic Microbiology and Immunology, Ludong University, Yantai, China
- Jianlong Zhang
| | - Guozhong Chen
- College of Life Science, Ludong University, Yantai, Shandong, China
- Shandong Breeding Environmental Control Engineering Laboratory, Ludong University, Yantai, China
- Shandong Provincial Key Laboratory of Quality Safety Monitoring and Risk Assessment for Animal Products, Institute of Veterinary Drug Quality Inspection of Shandong Province, Jinan, China
| | - Xin Yu
- College of Life Science, Ludong University, Yantai, Shandong, China
- Shandong Breeding Environmental Control Engineering Laboratory, Ludong University, Yantai, China
- Shandong Provincial Key Laboratory of Quality Safety Monitoring and Risk Assessment for Animal Products, Institute of Veterinary Drug Quality Inspection of Shandong Province, Jinan, China
| | - Hongwei Zhu
- College of Life Science, Ludong University, Yantai, Shandong, China
- Shandong Breeding Environmental Control Engineering Laboratory, Ludong University, Yantai, China
- Shandong Provincial Key Laboratory of Quality Safety Monitoring and Risk Assessment for Animal Products, Institute of Veterinary Drug Quality Inspection of Shandong Province, Jinan, China
| | - Xiaoyu Zhao
- Shandong Provincial Key Laboratory of Quality Safety Monitoring and Risk Assessment for Animal Products, Institute of Veterinary Drug Quality Inspection of Shandong Province, Jinan, China
| | - Youzhi Li
- Shandong Provincial Key Laboratory of Quality Safety Monitoring and Risk Assessment for Animal Products, Institute of Veterinary Drug Quality Inspection of Shandong Province, Jinan, China
| | - Wenli Tang
- Shandong Provincial Key Laboratory of Quality Safety Monitoring and Risk Assessment for Animal Products, Institute of Veterinary Drug Quality Inspection of Shandong Province, Jinan, China
| | - Xingxiao Zhang
- College of Life Science, Ludong University, Yantai, Shandong, China
- Shandong Breeding Environmental Control Engineering Laboratory, Ludong University, Yantai, China
- Xingxiao Zhang
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