Determination of microbiological contamination,antibacterial and antioxidant activities of natural plant hazelnut (Corylus avellana L.) pollen

The aim of our study is to determine microbial contamination, antibacterial and antioxidant activities of 14 pollen samples of Corylus avellana collected from different locations in Slovakia. Microbiological analysis was carried out in two steps: microbiological assays and studies of antibacterial activity of pollen extracts. The antimicrobial properties of pollen extracts were carried out with the disc-diffusion method. Methanol (70%), ethanol (70%) and distilled water were used for pollen extracts. Five strains of bacteria such as gram-negative (Salmonella enterica subsp. enterica CCM 3807, Escherichia coli CCM 2024, and Yersinia enterocolitica CCM 5671) and gram-positive (Staphylococcus aureus CCM 2461 and Bacillus thuringiensis CCM 19T) were tested. Antioxidant activity of pollen extracts was determined by the DPPH method. Bacterial analysis includes the determination of the total bacterial count ranged from 4.08 to 4.61 log CFU g^?1, mesophilic aerobic bacteria ranged from 3.40 to 4.89 log CFU g^?1, mesophilic anaerobic bacteria ranged from 3.20 to 4.52 log CFU g^?1, coliform bacteria ranged from 3.30 to 4.55 log CFU g^?1, yeasts and filamentous fungi ranged from 3.00 to 3.56 log CFU g^?1. Microscopic filamentous fungi Aspergillus spp., Alternaria spp., Penicillium spp., Cladosporium spp., Rhizopus spp., and Paecylomyces spp. were isolated from hazelnut pollen. Yersinia enterocolitica was the most sensitive strain among ethanolic and methanolic pollen hazelnut extracts. Staphylococcus aureus was the most sensitive strain against aqueous hazelnut pollen extracts. We determined the following sensitivity against ethanol pollen extracts respectively: Yersinia enterocolitica?>?Salmonella enterica?>?Staphylococcus aureus?>?Bacillus thuringiensis?>?Escherichia coli. Methanol pollen extracts had shown following sensitivity: Yersinia enterocolitica?>?Salmonella enterica?>?Escherichia coli?>?Staphylococcus aureus?>?Bacillus thuringiensis. Aqueous extracts had shown the following sensitivity: Staphylococcus aureus?>?Salmonella enterica?>?Escherichia coli?>?Bacillus thuringiensis?>?Yersinia enterocolitica. Hazelnut pollen extracts have over 82% antioxidant capacity in samples from non-urban zones. An elevated level of antioxidant potential in the pollen is determined by its biological properties conditioned by biologically active substances. DPPH method allowed characterizing pollen as a source of antioxidants.     

亚洲大陆2000～2002年春季大气沙尘时空特征的数值模拟

将矿物沙尘释放与沉降模式和全球大气化学传输模式相耦合,建立了一个能够完整描述沙尘的扬起、输送和沉降动态过程的模式系统,并利用实时气象资料强迫该模式,对2000、2001和2002年春季(3～5月)亚洲大气沙尘时空特征进行了数值模拟研究.结果表明,模拟的3年春季平均大气柱沙尘浓度分布与地面观测的3年春季平均沙尘暴频率分布范围基本吻合,模拟的沙尘气溶胶光学厚度与卫星观测的气溶胶指数具有显著的相关性,验证了该模式对亚洲沙尘的扬起、传输和沉降过程及大气沙尘载荷时空特征有较好的模拟能力,并基于模拟的沙尘释放通量与沙尘气溶胶光学厚度的相关分析,探讨了亚洲沙尘可能的传输路径.     

Spectral characteristics of plant communities from salt marshes:A case study from Chongming Dongtan,Yangtzeestuary,China

The spectral reflectance of recently formed salt marshes at the mouth of the Yangtze River, which are undergoing invasion by Spartina alterniflora, were assessed to determine the potential utility of remotely sensed data in assessing future invasion and changes in species composition. Following a review of published research on remote sensing of salt marshes, 53 locations along three transects were sampled for paired data on plant species composition and spectral reflectance using a FieldSpec™ Pro JR Field Portable Spectroradiometer. Spectral data were processed concerning reflectance, and the averaged reflectance values for each sample were reanalysed to correspond to a 12-waveband bandset of the Compact Airborne Spectral Imager. The spectral data were summarised using principal components analysis (PCA) and the relationships between the vegetation composition, and the PCA axes of spectral data were examined. The first PCA axis of the reflectance data showed a strong correlation with variability in near infrared reflectance and ‘brightness’, while the second axis was correlated with visible reflectance and ‘greenness’. Total vegetation cover, vegetation height, and mudflat cover were all significantly related to the first axis. The implications of this in terms of the ability of remote sensing to distinguish the various salt marsh species and in particular the invasive species S. alterniflora were discussed. Major differences in species with various physiognomies could be recognised but problems occurred in separating early colonising S. alterniflora from other species at that stage. Further work using multi-seasonal hyperspectral data might assist in solving these problems.     

大气颗粒物中多环芳烃的污染特征及来源识别

研究了北京市2000年采暖期和非采暖期2个典型代表月(6月和12月)不同粒径颗粒物的质量浓度特征以及不同粒径颗粒物中ρ(PAHs)分布特征,并同时利用比值法和化学质量平衡(CMB)受体模型对可吸入颗粒物(PM₁₀)中PAHs的来源进行识别和解析.研究结果表明:北京市采暖期ρ(颗粒物)明显高于非采暖期;采暖期和非采暖期不同粒径颗粒物的比例有差别,采暖期、非采暖期ρ(PM₁₀)分别约占ρ(TSP)的0.662和0.734;PAHs具有更明显富集于细颗粒物中的特征;源解析结果表明燃煤污染和机动车污染是PM₁₀中PAHs的最主要来源.      

大港地区大气颗粒物中多环芳烃分布及污染源识别的研究

多环芳烃（PAHs）是一类对人体危害较大的有机污染物。目前对大气环境中PAHs来源识别技术还处于探索与发展阶段。为了解天津大港油田地区大气环境中PAHs污染状况与来源,对天津市大港地区大气颗粒物中10种PAHs分布及污染源开展了调查。结果表明：大港地区10种PAHs总浓度平均为169ng/m3,比市区对照点的465ng/m³低63.7％,其中苯并（a）芘（BaP）平均浓度为13.6ng/m³,比市区对照点的41.1ng/m³低66.9％。实验结果经统计处理发现BaP浓度与其它9种PAHs浓度存在一定的相关性,相关系数均在0.60以上。利用比值法进行源识别得出：大港石化区PAHs主要来源为燃煤污染;而大港油田区PAHs主要来源为燃油污染。     

机载设备的噪声环境试验研究

介绍了标准中所规定的试验载荷的计算方法,2种噪声试验装置——高声强混响室和高声强行波管,以及高声强试验系统和测试系统的组成。以GJB 150．86—17的图1声谱为基准,开展了机载设备的噪声环境试验研究,对噪声试验中试验夹具的设计和制造、试验样品的安装、试验前的检查和试验程序进行了说明,采用了开环和闭环方式控制声场,试验结果达到了国军标的要求。     

机载战术导弹挂飞环境地面振动试验方案研究

研究总结了某型机载战术导弹服役过程中所经受的振动激励主要来源,同时研究分析不同激励方式对战术导弹吊耳载荷响应效果的影响,确定该型机载战术导弹振动载荷加载方案。采用理论计算与有限元建模计算分析的方法,分析比较不同激励方式对导弹吊耳载荷响应效果的影响。总结确定了该型机载战术导弹振动载荷的主要来源,通过理论算例和有限元建模计算的方法分别计算了不同激励方式下导弹吊耳的载荷响应,并最终确定了振动载荷加载激励方式。     

北京市居家空气微生物粒径及分布特征研究

室内外空气微生物对人们健康的危害不仅与微生物的种类和浓度有关,而且还与微生物粒子的大小及粒径分布特征密切相关,并且不同粒径的空气微生物对人们健康影响的作用机制不同.在北京市不同方向选取31户有1～10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粒径及分布特征.结果表明,室内空气细菌和真菌粒径分布特征不随家庭环境、季节特征、儿童性别、房屋结构的变化而变化,但空气细菌和真菌的粒径分布特征不同.总体上空气细菌和真菌粒径均呈对数正态分布,但空气细菌粒子百分比从Ⅰ级(>8.2μm)到Ⅴ级(1.0～2.0μm)逐渐增加,Ⅵ级(<1.0μm)细菌粒子百分比急剧下降,最高值出现在Ⅴ级,而空气真菌粒径百分比从Ⅰ级～Ⅳ级(2.0～3.5μm)逐渐增加,而后从Ⅳ级～Ⅵ级真菌粒径百分比急剧下降,最高值出现在Ⅳ级.不同优势真菌属的粒径分布也不相同,枝孢属、青霉属和曲霉属呈对数正态分布,最高值出现在Ⅳ级,而链格孢属为偏态分布,最高值出现在Ⅱ级(5.0～10.4μm).室内空气细菌的中值直径明显大于空气真菌,1 a中空气细菌和真菌春、夏、秋季的粒径明显大于冬季.     

北京市西三环地区大气颗粒物中多环芳烃的分布特性

于2012年3—12月在北京市西三环地区按粒径分6级采集大气颗粒物样品,采用气相色谱-质谱(GC-MS)对颗粒物样品中16种优控PAHs(多环芳烃)进行分析. 结果表明:颗粒物中ρ(∑₁₆PAHs)(PAHs的总质量浓度)季节变化显著,表现为冬季>春季>秋季>夏季,并且与ρ(PM)(PM为颗粒物)呈良好线性相关;不同粒径颗粒物中ρ(PAHs)呈向小粒子富集的趋势,PM_2.1中ρ(PAHs)约占ρ_sum(∑₁₆PAHs)〔6级颗粒物中ρ(∑₁₆PAHs)总和〕的64%~87%;除夏季3环PAHs占优势外,其他季节均以4~ 5环PAHs占优势;同时,随着粒径的减小,PAHs有向高环数富集的趋势. 运用主成分分析和多元线性回归法进行源解析发现,机动车尾气排放和燃煤是本地区大气颗粒物中PAHs的主要来源;不同粒径颗粒物中的PAHs来源有差异,2.1~10.2μm粒径段颗粒物中PAHs主要来源于机动车尾气排放,贡献率为63.0%;而1.3~2.1μm和<1.3μm的颗粒物中PAHs均主要来源于燃煤,贡献率分别为56.8%和58.7%.      

城区大气颗粒物中有机氯农药的含量与分布

采用FA-3型气溶胶粒度分布采样器采样,对北京和天津2个样点夏季大气中不同粒径颗粒物上有机氯农药残留量进行分析.在所有分级样品中均检测出δ-HCH,p,p'-DDD和p,p'-DDT,其他有机氯农药只在部分样品中被检出.北京样中HCHs(α-HCH+β-HCH+γ-HCH+δ-HCH)含量为0.240ng/m3,DDTs(p,p'-DDT+p,p'-DDD+p,p'-DDE)含量为0.962ng/m3,天津样品中HCHs含量为0.581 ng/m3,DDTs含量为1.874ng/m3.天津样中有机氯农药残留明显高于北京样.大气颗粒物上的有机氯农药粒径分布特征为:北京样中HCHs和DDTs含量随粒径均呈单峰分布,而天津样中HCHs呈三峰态分布,DDTs呈较弱的单峰态分布.HCHs和DDTs两类化合物的质量中值直径和分散度分别在2.1～2.5μm和3.1～3.7μm范围内.