State Key Laboratory of Environmental Aquatic Chemistry, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, PR China; University of Chinese Academy of Sciences, Beijing 100049, PR China.
State Key Laboratory of Environmental Aquatic Chemistry, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, PR China; University of Chinese Academy of Sciences, Beijing 100049, PR China; National Engineering Laboratory for VOCs Pollution Control Material & Technology, University of Chinese Academy of Sciences, Beijing 101408, PR China.
Sci Total Environ. 2024 Feb 20;912:168817. doi: 10.1016/j.scitotenv.2023.168817. Epub 2023 Nov 27.
Biological deodorization systems are widely used to control odors and volatile organic compounds. However, the secondary contamination of bioaerosol emissions is a noteworthy issue in the operation of biofilters for off-gas purification. In this study, a multistage biofilter for benzene treatment was utilized to investigate the bioaerosol emissions under different flow rates and spray intervals. At the outlet of the biofilter, 99-7173 CFU/m of bioaerosols were detected, among which pathogens accounted for 8.93-98.73 %. Proteobacteria and Firmicutes dominated bioaerosols at the phylum level. The Mantel test based on the Bray-Curtis distance revealed strong influences of flow rate introduced to the biofilter and biomass colonized on the packing materials (PMs) on bioaerosol emissions. The non-metric multidimensional scaling results suggested a correlation between the bioaerosol community and bacteria on the PMs. Bacillus and Stenotrophomonas were the two main genera stripped from the biofilm on PMs to form the bioaerosols. SourceTracker analysis confirmed that microorganisms from the PMs near outlet contributed an average of 22.3 % to bioaerosols. Pathogenic bacteria carried by bioaerosols included Bacillus, Serratia, Stenotrophomonas, Achromobacter, Enterococcus, and Pseudomonas. Bioaerosols were predicted to cause human diseases, with antimicrobial drug resistance and bacterial infectious disease being the two main pathogenic pathways. Stenotrophomonas sp. LMG 19833, Pseudomonas sp., and Stenotrophomonas sp. were the keystone species in the bioaerosol co-occurrence network. Overall, results of present study promote the insight of bioaerosols, particularly pathogen emissions, and provide a basis for controlling bioaerosol contamination from biofilters.
生物除臭系统广泛用于控制气味和挥发性有机化合物。然而,生物过滤器在废气净化运行过程中生物气溶胶排放的二次污染是一个值得关注的问题。在本研究中,采用多阶段生物过滤器处理苯,研究了不同流速和喷雾间隔下的生物气溶胶排放。在生物过滤器的出口处,检测到 99-7173 CFU/m 的生物气溶胶,其中病原体占 8.93-98.73%。在门水平上,变形菌门和厚壁菌门是生物气溶胶的主要优势菌群。基于 Bray-Curtis 距离的 Mantel 检验表明,引入生物过滤器的流速和生物量在填充材料 (PM) 上的定植对生物气溶胶排放有很强的影响。非度量多维尺度分析结果表明,生物气溶胶群落与 PM 上的细菌之间存在相关性。从 PM 上的生物膜中分离出芽孢杆菌和寡养单胞菌是形成生物气溶胶的两个主要属。SourceTracker 分析证实,来自出口附近 PM 的微生物对生物气溶胶的贡献平均为 22.3%。生物气溶胶中携带的病原菌包括芽孢杆菌、沙雷氏菌、寡养单胞菌、不动杆菌、肠球菌和假单胞菌。生物气溶胶被预测会导致人类疾病,其主要的致病途径是抗生素耐药性和细菌性传染病。施氏假单胞菌 LMG 19833、假单胞菌和寡养单胞菌是生物气溶胶共同发生网络中的关键物种。总的来说,本研究的结果增进了对生物气溶胶,特别是病原体排放的了解,并为控制生物过滤器中的生物气溶胶污染提供了依据。