梅雨期大学宿舍室内生物气溶胶浓度及粒径分布

大学宿舍室内生物气溶胶可通过空气传播,可能会危害学生身体健康.本研究调查了梅雨期大学宿舍室内生物气溶胶浓度和粒径分布特点,对其同空气颗粒物浓度、环境温度和湿度的Spearman相关性进行了研究,分析了学生活动对宿舍室内气溶胶的影响.结果表明,学生宿舍室内的细菌和真菌气溶胶平均浓度分别为(2 133±1 617)CFU·m~(-3)和(3 111±2 202)CFU·m~(-3),真菌气溶胶的浓度明显高于细菌.学生宿舍室内的PM1、PM_(2.5)、PM10与细菌气溶胶浓度呈负相关,与真菌气溶胶浓度呈显著负相关;PM_(2.5)与可吸入细菌气溶胶呈正相关,PM_(10)与可吸入真菌气溶胶呈正相关;环境温度与细菌和真菌气溶胶浓度呈正相关,环境相对湿度与细菌和真菌气溶胶浓度呈负相关.在下午,宿舍室内真菌气溶胶浓度显著增加,上午和下午生物气溶胶的粒径分布有差异.本研究结果将为评价高校学生宿舍室内空气质量提供基础数据.     

西安市不同天气下可培养微生物气溶胶浓度变化特征

为探明天气状况对可培养微生物气溶胶分布特性的影响,于2014年8月-2015年7月利用Anderson六级空气微生物采样器对西安市微生物气溶胶进行采样,通过培养法检测分析了可培养细菌和真菌气溶胶在1 a的月际与季节性浓度变化特征,重点研究了不同天气状况下气溶胶的浓度与粒径分布.结果表明:西安市可培养细菌和真菌气溶胶月均浓度均在10月最高,分别为（1 004.81±546.14）和（765.54±544.36）CFU/m3.可培养细菌和真菌气溶胶的季节平均浓度均在夏季最低,分别为（361.96±56.96）和（280.33±74.43）CFU/m3;不同天气条件下气溶胶的浓度变化为晴天 < 雨天 < 阴云天 < 霾天.可培养细菌气溶胶在晴天、阴云天、雨天和霾天粒径分布的峰值分别出现在3.3~4.7、4.7~7.0、3.3~4.7、3.3~4.7 μm区间上,表现为明显的单峰分布;而可培养真菌气溶胶的粒径分布在非霾天则无显著性差异（P>0.05）.不同天气状况下可呼吸微生物气溶胶均超过总微生物气溶胶的60%.各天气状况下可培养细菌气溶胶的几何中值直径大于真菌气溶胶.      

4种动物养殖场空气中抗生素耐药菌的生物多样性及群落结构

动物集约化养殖场可向空气环境释放大量微生物,包括抗生素耐药菌甚至是耐药致病菌,危害动物和工人健康并污染周边空气环境.针对以上问题,本研究以四环素和红霉素耐药菌为例,对动物养殖场空气颗粒物负载抗生素耐药菌的生物多样性以及群落结构展开研究.基于高通量测序技术,对比分析动物舍内与舍外颗粒物,以及粪便样品中抗生素耐药菌的生物学差异,并研究驱动以上差异的关键菌属.结果表明,整体上养殖场空气颗粒物负载红霉素耐药菌的生物多样性高于四环素耐药菌,舍内空气颗粒物负载生物的多样性高于粪便样品.细颗粒物和粗颗粒物负载抗生素耐药菌的生物多样性和群落结构均无显著差异.Actinobacteria是导致红霉素耐药菌和其他细菌群落差异的关键菌门之一,Staphylococcus是四环素耐药菌群区别于红霉素耐药菌和全部细菌菌群的关键菌属之一.群落结构研究结果显示,四环素和红霉素耐药菌的优势菌群和群落结构没有显著差异.但粪便和空气颗粒物负载生物的群落结构在属水平上差异显著,优势菌门也有所不同.本研究结果将为准确评估动物养殖场空气环境中抗生素耐药菌污染现状及其生态风险提供基础数据.     

The Fate of Mengovirus on Fiberglass Filter of Air Handling Units

One of the most important topics that occupy public health problems is the air quality. That is the reason why mechanical ventilation and air handling units (AHU) were imposed by the different governments in the collective or individual buildings. Many buildings create an artificial climate using heating, ventilation, and air-conditioning systems. Among the existing aerosols in the indoor air, we can distinguish the bioaerosol with biological nature such as bacteria, viruses, and fungi. Respiratory viral infections are a major public health issue because they are usually highly infective. We spend about 90% of our time in closed environments such as homes, workplaces, or transport. Some studies have shown that AHU contribute to the spread and transport of viral particles within buildings. The aim of this work is to study the characterization of viral bioaerosols in indoor environments and to understand the fate of mengovirus eukaryote RNA virus on glass fiber filter F7 used in AHU. In this study, a set-up close to reality of AHU system was used. The mengovirus aerosolized was characterized and measured with the electrical low pressure impact and the scanner mobility particle size and detected with RT-qPCR. The results about quantification and the level of infectivity of mengovirus on the filter and in the biosampler showed that mengovirus can pass through the filter and remain infectious upstream and downstream the system. Regarding the virus infectivity on the filter under a constant air flow, mengovirus was remained infectious during 10 h after aerosolization.     

污水处理厂生物气溶胶抗生素抗性污染特征

为探究污水处理厂生物气溶胶抗生素抗性基因（ARGs）污染特征,在济南市某污水处理厂采用宏基因组测序技术对厂界内及周边生物气溶胶样本及污水或污泥样本进行分析.结果表明,相比于上风向,厂界内和下风向生物气溶胶具有更多的ARGs亚型种类数和更高的总相对丰度.厂界内与上风向生物气溶胶ARGs组成存在显著的差异性,差异度为47.57%;而厂界内与下风向生物气溶胶ARGs组成的差异性不显著,且差异度下降至33.98%.上风向背景空气和污水或污泥均是厂界内生物气溶胶ARGs的重要来源,两者总的源的贡献大于63.92%.共检测到43种ARGs亚型（8种ARGs主型）在至少一处污水处理单元极易负载于生物气溶胶颗粒逸出.本研究可为污水处理厂生物气溶胶抗生素抗性污染的风险评估和控制提供理论依据.     

Production and characterization of bioaerosols for model validation in spacecraft environment

This study aimed to evaluate the suitability of two bioaerosol generation systems(dry and wet generation) for the aerosolization of microorganisms isolated from the International Space Station, and to calibrate the produced bioaerosols to fulfill the requirements of computational fluid dynamics model(CFD) validation. Concentration, stability, size distribution, agglomeration of generated bioaerosol and deposition of bioaerosols were analyzed. In addition, the dispersion of non-viable particles in the air was studied.Experiments proved that wet generation from microbial suspensions could be used for the production of well-calibrated and stabile bioaerosols for model validation. For the simulation of the natural release of fungal spores, a dry generation method should be used. This study showed that the used CFD model simulated the spread of non-viable particles fairly well. The mathematical deposition model by Lai and Nazaroff could be used to estimate the deposition velocities of bioaerosols on surfaces, although it somewhat underestimated the measured deposition velocities.     

北京市居家空气微生物污染特征

在北京市选取31户有1岁至10岁儿童的家庭进行空气微生物取样,系统研究了室内家庭空气微生物污染特征.结果表明,北京市居家环境空气微生物总浓度变化范围为269～13066 CFU·m-3,均值为2658 CFU· m-3,空气细菌浓度变化范围为47 ～ 12341 CFU·m-3,均值为1821 CFU·m-3,空气真菌浓度变化范围为62～3498 CFU·m-3,均值为837 CFU·m-3.空气细菌和真菌浓度百分比分别为61.0％和39.0％,细菌浓度明显高于真菌浓度.居家环境优势细菌属依次为微球菌属(Micrococcus)、芽孢杆菌属(Bacillus)、葡萄球菌属(Staphylococcus)和库克菌属(Kocuria),4属细菌百分比约占63.1％ ～70.9％,优势真菌属为青霉属(Penicillium)、枝孢属(Cladosporium)、曲霉属(Aspergillus)、链格孢属(Alternaria)和茎点霉属(Phoma),分别约占总数的36.0％、17.8％、9.3％、5.3％和3.6％.文中最后针对北京市居家环境空气微生物污染的现状及其来源,从宠物饲养、空调清理、室内外优良环境的保持及垃圾处理、室内花卉种植等方面提出了治理建议.     

南京市校园室内空气微生物特征

为调查南京市学校教室内空气微生物污染状况,本研究各选一所幼儿园、小学、初中和大学,每所学校分别随机选取10间教室,采用六级安德森采样器进行空气微生物采样.研究发现,在南京地区所调研的这4所不同类型的学校中,幼儿园室内空气微生物浓度最高,细菌和真菌浓度均值分别为605CFU/m³和648CFU/m³,均显著高于其余3所学校.室内细菌和真菌粒径分布趋同,峰值均出现在Ⅴ级（1.1~2.1μm）.仅在大学教室内,发现环境参数与空气微生物浓度存在显著相关性.幼儿园教室内学生每天吸入的细菌和真菌剂量分别为150.2CFU/kg和160.9CFU/kg,均显著高于其他学校学生.     

超声波加湿室内微生物气溶胶浓度与优化方法

为明确超声波加湿对冬季供暖室内微生物气溶胶粒径与浓度分布的影响,以及降低暴露风险的有效方法,针对典型办公室环境,基于模拟实验法与正交试验法,探究不同相对湿度(RH=40％、55％、70％)、加湿器水质(蒸馏水、自来水、凉白开)和窗户开度(0、1/6、1/3)下,超声波加湿前后室内细菌、真菌气溶胶按粒径分级的浓度变化,并...     

Reduction and characterization of bioaerosols in a wastewater treatment station via ventilation

Bioaerosols from wastewater treatment processes are a significant subgroup of atmospheric aerosols. In the present study,airborne microorganisms generated from a wastewater treatment station(WWTS) that uses an oxidation ditch process were diminished by ventilation.Conventional sampling and detection methods combined with cloning/sequencing techniques were applied to determine the groups,concentrations,size distributions,and species diversity of airborne microorganisms before and after ventilation. There were 3021 ± 537 CFU/m3 of airborne bacteria and 926 ± 132 CFU/m3 of airborne fungi present in the WWTS bioaerosol.Results showed that the ventilation reduced airborne microorganisms significantly compared to the air in the WWTS. Over 60% of airborne bacteria and airborne fungi could be reduced after4 hr of air exchange. The highest removal(92.1% for airborne bacteria and 89.1% for fungi) was achieved for 0.65–1.1 μm sized particles. The bioaerosol particles over 4.7 μm were also reduced effectively. Large particles tended to be lost by gravitational settling and small particles were generally carried away,which led to the relatively easy reduction of bioaerosol particles0.65–1.1 μm and over 4.7 μm in size. An obvious variation occurred in the structure of the bacterial communities when ventilation was applied to control the airborne microorganisms in enclosed spaces.     

Molecular approaches for the detection and monitoring of microbial communities in bioaerosols: A review

Bioaerosols significantly affect atmospheric processes while they undergo long-range vertical and horizontal transport and influence atmospheric chemistry and physics and climate change. Accumulating evidence suggests that exposure to bioaerosols may cause adverse health effects, including severe disease. Studies of bioaerosols have primarily focused on their chemical composition and largely neglected their biological composition and the negative effects of biological composition on ecosystems and human health. Here, current molecular methods for the identification, quantification, and distribution of bioaerosol agents are reviewed. Modern developments in environmental microbiology technology would be favorable in elucidation of microbial temporal and spatial distribution in the atmosphere at high resolution. In addition, these provide additional supports for growing evidence that microbial diversity or composition in the bioaerosol is an indispensable environmental aspect linking with public health.     

青岛近海生物气溶胶中可培养微生物浓度及群落多样性的季节变化

为了研究近海生物气溶胶中可培养微生物浓度和群落多样性,于2009年7月~2010年6月在青岛两个采样点连续采集生物气溶胶样品,分析了其中陆源细菌、海源细菌、陆源真菌和海源真菌的浓度,并计算了Shannon-Weiner指数、Simpson’s指数和Pielou指数.结果表明,陆源细菌和海源细菌月均浓度分别为12~436 CFU·m-3和25~561 CFU·m-3,陆源真菌和海源真菌月均浓度分别为0~817 CFU·m-3和11~1 346 CFU·m-3之间.陆源细菌、海源细菌、陆源真菌和海源真菌浓度在冬季月份较低,2月达到最低值,在春夏月份较高.海源微生物对总可培养类微生物的贡献高于陆源,平均占63%.可培养微生物物种数在17~102之间,与微生物浓度具有一定的相关性,但并未呈现出明显的季节变化.3种指数表明,生物气溶胶中陆源细菌、海源细菌、陆源真菌和海源真菌的群落结构在2月最简单,1月、11月和5月群落多样性较高,群落多样性与浓度的季节变化特征并不一致,而且不同类别的微生物群落存在季节和空间差异.     

Characterization and source analysis of indoor/outdoor culturable airborne bacteria in a municipal wastewater treatment plant

The potential health risks of airborne bacteria emission from a wastewater treatment process have been concerned. However, few studies have investigated the differences in community structure between indoor and outdoor bacteria. In this work, the characterization of airborne bacteria was studied in a municipal wastewater treatment plant in Beijing, China. Two indoor (i.e., fine screen room and sludge dewatering house) and two outdoor (i.e., aeration tank and control site) sampling sites were selected. An Andersen six-stage impactor was used for collecting culturable airborne bacteria in the air, and Illumina MiSeq sequencing was conducted to track the emission source of the culturable airborne bacteria. The results indicate that, compared with the outdoor aeration tank site, the concentrations of culturable airborne bacteria in the indoor fine screen room with poor ventilation were more than ten times higher and the particle size was about twice as large. The community structures of indoor and outdoor culturable airborne bacteria were obviously different. Enterobacteriaceae and opportunistic pathogens were detected in indoor culturable airborne bacteria, with wastewater and sludge dewatering machine identified as the primary sources. Conversely, Enterobacteriaceae and opportunistic pathogens were not detected in outdoor culturable airborne bacteria. Outdoor high wind speed might have resulted in rapid dilution and mixing of culturable airborne bacteria generated from the aeration tank with the ambient air. The results of the present research suggest that covering pollution sources, increasing ventilation rates, and using protective measures for personnel should be implemented to decrease the exposure risk to indoor culturable airborne bacteria.     

SBR工艺城市污水处理厂微生物气溶胶逸散特征

在采用SBR工艺的某污水处理厂设置采样点,研究各污水处理工艺段微生物气溶胶的逸散特征.结果表明,各工艺段均有细菌气溶胶逸散,浓度为82～1 525 CFU·m~(-3),粗格栅、生化池和污泥脱水间为主要逸散源.各工艺段检测到的细菌气溶胶主要菌属为Cyanobacteria,其它丰度较高的菌属有Aeromonas、Peptostreptococcaceae、Moraxellaceae、Chroococcidiopsis、Sphingomonas、Arcobacter及Acinetobacter等,其中Aeromonas、Arcobacter、Acinetobacter及Sphingomonas为潜在致病菌.微生物气溶胶的浓度和丰度沿垂直方向和水平方向减少.适宜的温度和相对湿度利于微生物气溶胶在空气中保持活性(P 0. 01),风速则与微生物气溶胶的逸散呈负相关(P 0. 05).污水处理过程产生的微生物气溶胶的暴露风险较小(HQ 1),但是污染物的累积会增加人体的暴露风险.生物除臭反应器在处理臭味气体的同时还可以有效削减微生物气溶胶.     

西安市秋冬季不同空气质量下可培养微生物气溶胶浓度和粒径分布

利用Anderson空气微生物采样器对西安市2014年9月~2015年1月间可培养微生物气溶胶进行采样、培养,分析不同空气质量下其浓度与粒径变化特征,并对其与颗粒污染物(PM_(2.5)、PM_(10))、气象参数(温度、相对湿度)和其它气态污染物(NO_2、SO_2、O_3)进行主成分+多元线性回归分析.结果显示,可培养细菌和真菌气溶胶浓度范围分别为97~1 909CFU·m~(-3),92~1 737 CFU·m~(-3).随空气污染程度加深,两种微生物气溶胶浓度均呈现增加趋势;细菌气溶胶粒径分布向粗颗粒偏移;而真菌气溶胶在低污染时呈正态分布,高污染时粒径峰值向细颗粒偏移.主成分分析结果显示,可培养微生物气溶胶主要与灰霾、太阳辐射和相对湿度有关.多元线性回归结果表明,细菌气溶胶与灰霾呈显著正相关(P0.05),与太阳辐射呈不显著负相关,与湿度呈不显著正相关;真菌气溶胶与灰霾、太阳辐射和相对湿度均呈不显著正相关.研究结果可以为评估微生物气溶胶所引起的环境与健康效应提供基础数据.     

人工湿地污水处理系统春季空气微生物群落结构分析?

通过构建16S/18S rDNA基因文库,分析自由表面流人工湿地污水处理系统春季空气细菌和空气真菌群落结构特征.结果表明,空气细菌分布在变形菌门(Proteobacteria)、放线菌门(Actinobacteria)、浮霉菌门(Planctomycetes)、蓝藻门(Cyanophyta)、绿弯菌门(Chloroflexi)、拟杆菌门(Bacteroidetes)和厚壁菌门(Firmicutes),主要为β-变形菌纲(71.04%)、γ-变形菌纲(12.03%)、α-变形菌纲(3.83%)、蓝藻纲(4.38%)、芽孢杆菌纲(3.28%)和鞘脂杆菌纲(2.19%),优势菌属是马赛菌属(Massilia 66.66%)、假单胞菌属(Pseudomonas 4.37%)、蓝丝细菌属(Cyanothece 3.83%)和沙雷氏菌属(Serratia 3.28%).空气真菌主要类群为座囊菌纲(Dothideomycetes 61.18%),其次是接合菌纲(Zygomycetes 16.47%)、盘菌纲(Discomycetes 14.12%),优势菌属是核腔菌属(Pyrenophora 48.31%)、被孢霉属(Mortierella 15.7%)、缘刺盘菌属(Cheilymenia 12.4%)、Boothiomyces (4.5%).人工湿地空气微生物中未检测出大肠杆菌(Escherichia coli)、沙门氏菌(Salmonella spp.)和产气荚膜梭菌(Clostridium perfringens),但存在粘质沙雷氏菌(S. marcescens)、恶臭假单胞菌(P. putida)、表皮葡萄球菌(Staphylococcus epidermidis)等致病菌或条件致病菌.     

夏秋季节北京市居家室内微生物多样性的变化特征

室内空气中过高浓度的生物粒子有害人体健康.空气中的微生物通常与灰尘结合在一起,然而目前对家庭室内灰尘微生物多样性及其随季节变化特征的报道较少.本研究在北京市选择1户家庭,在夏季和秋季定期采集灰尘样品,通过高通量测序研究细菌和真菌群落组成及多样性,并分析细菌-真菌的网络互作特征.结果显示,室内灰尘细菌和真菌群落Shannon指数及Chao1指数夏季均显著高于秋季（p<0.05）.此外,室内灰尘细菌群落结构夏季与秋季无显著差异（p>0.05）,主要类群为假单胞菌属（Pseudomonas）、考克氏菌属（Kocuria）和芽孢杆菌属（Bacillus）;真菌群落结构夏季与秋季则明显不同（p<0.05）,夏季优势类群为曲霉属（Aspergillus）、链格孢属（Alternaria）和裂褶菌属（Schizophyllum）,而秋季曲霉属占绝对主导地位.室内灰尘微生物网络互作具有明显的季节特征,夏季微生物互作主要为细菌-细菌,以及细菌-真菌的正相互作用;而秋季微生物互作比夏季更紧密,以细菌-细菌的正相互作用为主.这些结果可为构建健康的居家环境提供参考依据.     

生物气溶胶的吸湿性

归纳了有关气溶胶吸湿性的测量方法以及过去近30a来文献中报道的生物气溶胶吸湿性的主要研究成果,总结了不同种类生物气溶胶之间吸湿性的差异.已有研究表明,绝大部分的生物气溶胶粒子都具有一定的吸湿性,当相对湿度为90%时,吸湿增长因子约为1.04（真菌孢子）~1.22（细菌）,花粉颗粒物吸湿后的质量与之前的比值为1.30~1.55.最后,提出了目前关于生物气溶胶吸湿性研究中尚未解决的科学问题及该领域的主要发展方向.     

生物气溶胶的吸湿性

归纳了有关气溶胶吸湿性的测量方法以及过去近30a来文献中报道的生物气溶胶吸湿性的主要研究成果,总结了不同种类生物气溶胶之间吸湿性的差异.已有研究表明,绝大部分的生物气溶胶粒子都具有一定的吸湿性,当相对湿度为90%时,吸湿增长因子约为1.04（真菌孢子）~1.22（细菌）,花粉颗粒物吸湿后的质量与之前的比值为1.30~1.55.最后,提出了目前关于生物气溶胶吸湿性研究中尚未解决的科学问题及该领域的主要发展方向.     

空气微生物不同高度分布情况研究

空气微生物是城市生态系统重要的生物组成部分,空气中广泛分布的细菌、真菌孢子、放线菌和病毒等生物粒子不仅具有极其重要的生态功能,还与城市空气污染,城市环境质量和人体健康密切相关。从生态系统角度出发,着重论述了城市微生物气溶胶的粒谱范围、空气微生物浓度和组成在不同高度变化的相关规律。