北京市典型餐饮企业油烟中醛酮类化合物污染特征

醛酮类化合物作为餐饮油烟的组成物质之一,是挥发性有机物(volatile organic compounds,VOCs)中化学反应活性较强的一类物质.但目前国内还没有针对餐饮源醛酮类化合物的排放特征进行较为系统的研究.为进一步明确餐饮源醛酮类化合物排放水平和控制现状,获取城市群餐饮源VOCs排放控制决策依据,本研究选取北京市8家不同类型的餐饮企业,采用涂布2,4-二硝基苯肼(DNPH)的硅胶采样管进行油烟样品采集,用超高效液相色谱(UPLC)对油烟样品中的醛酮类化合物进行测定.结果表明按基准风量折算后,8家餐饮企业排放的油烟中醛酮类化合物浓度高低依次是:烤鸭中式烧烤家常菜西式快餐学校食堂中式快餐川菜淮扬菜.餐饮企业油烟中醛酮类化合物(C1~C9)浓度水平范围为115.47~1 035.99μg·m-3.不同类型餐饮企业油烟中醛酮类化合物组分构成存在较为明显的差异,中式餐饮企业醛酮类化合物C1~C3物质所占比例均在40%以上.快餐类餐饮企业醛酮类化合物C4~C9所占比例明显高于其他类型餐饮企业.从醛酮类化合物控制现状来看,北京市目前主流高压静电式油烟净化器对醛酮类化合物的去除效果十分有限.     

滤后水中NOM经臭氧氧化产生的小分子醛、酮和酮酸

以富集、分离得到的滤后水中6种不同特性的天然有机物(NOM)为对象,测定了臭氧氧化NOM各组分后小分子醛、酮及酮酸的生成情况.NOM各组分臭氧氧化后甲醛和丙酮酸产量最大,特别是憎水中性物质(HON)的甲醛产率是其醛、酮总产率的70.58%,单位DOC丙酮酸的产率达103.2 μg/mg;憎水性NOM组分的小分子醛、酮、酮酸产率比亲水性组分的高,特别是憎水中性物质(HON)和憎水酸(HOA)的小分子醛、酮及酮酸类总产率最高,二者之和分别占NOM各组分的醛酮总产率及酮酸总产率的55.56%和60%; NOM碱性组分的醛、酮、酮酸产量最低.用小分子醛、酮、酮酸总量折算DOC占氧化后NOM的DOC的百分比作为衡量氧化后各组分可生物降解性的参考,则臭氧氧化后HON和HOA的可生物降解性比其他组分高得多.     

Transverse approach between real world concentrations of SO2, NO2, BTEX, aldehyde emissions and corrosion in the Grand Mare tunnel

With regard to automotive traffic, a tunnel-type semi enclosed atmosphere is characterized by a higher concentration of gaseous pollutants than on urban traffic roads and highlights the gaseous effluent species having an impact on material degradation. Therefore, a transverse approach between air quality and its consequences upon the longevity of materials is necessary, implying better knowledge of tunnel atmosphere and a better understanding of material degradation inside a tunnel for operating administration. Gaseous pollutant measurements carried out in a road tunnel in Rouen (Normandy) give the real world traffic concentrations of experimental exposure conditions. The sampling campaigns, achieved in summer and winter include SO₂, NO₂, BTEX and aldehyde analyses. Effluent profiles in the upward and downward tubes have been established. The current work shows that SO₂, NO₂, formaldehyde, acetaldehyde, propanal and butanal must be considered in the degradation process of materials in a stuffy environment. As regards NO₂, its concentration depends on the modification of the automotive fleet. The total aldehyde concentrations indicate no particular trend between the two bores. Formaldehyde, acetaldehyde, propanal, butanal and acrolein species are the most abundant species emitted by vehicles and represent 90% to 95% of the total aldehyde emissions.     

Whitefly wax as a cue for phoresy in the broad mite, <Emphasis Type="Italic">Polyphagotarsonemus latus</Emphasis>(Acari: Tarsonemidae)

Summary. Broad mite, Polyphagotarsonemus latus (Acari: Tarsonemidae) exhibits a specific phoretic relationship with whiteflies. Under field conditions most broad mites, caught in sticky traps, are attached to whiteflies. Under laboratory conditions, attachment occurs equally well in the dark and light. Mites do not differentiate between the sexes of their phoretic host Bemisia tabaci. However, mite attachment to B. tabaci is greatly diminished by washing the host with various organic solvents, chloroform in particular. The effect of whitefly waxy particles on broad mite behavior was studied using wax from the whitefly Aleyrodes singularis and from the mealybug Planococcus citri. Broad mites were not only attracted specifically to the A. singularis waxy particles-treated leaf areas but were also attached to leaf trichomes in this area. The results of this study suggests the importance of olfactory cues from the whitefly waxy particles in the recognition process of the phoretic host and/or the induction of the attachment behavior to whitefly legs or leaf trichomes.     

3种典型消毒副产物对细菌抗生素抗性的影响

本文研究了消毒副产物对细菌抗生素抗性的作用.分别选取三卤甲烷类(THMs)、卤乙酸类(HAAs)以及醛类消毒副产物中典型物质一氯二溴甲烷(CDBM)、碘乙酸(IAA)和水合三氯乙醛(CH),研究了细菌经消毒副产物染毒之后,对多种抗生素的抗性变化情况.结果发现,3种消毒副产物均可以诱导野生型铜绿假单胞菌提高对5种受试抗生素的抗性,提高作用IAACHCDBM.IAA对多重抗性也具有一定的提高作用.野生型大肠杆菌的抗生素抗性同样能够被DBPs诱导提高,说明DBPs对抗性的影响具有普遍性.其作用机制可能是DBPs通过氧化胁迫机制诱导细菌发生突变,进而提高细菌抗生素抗性.本研究表明饮用水系统中部分细菌抗生素抗性的获得可能与消毒副产物有关;除毒理学风险外,消毒副产物的流行病学风险同样不容忽视.     

石家庄地区芳香族化合物的污染特征及来源分析

为了解石家庄地区芳香族化合物的污染特征,于2016年9月18日至10月17日进行为期30 d的PM_(2.5)样品昼夜采集,使用气相色谱-质谱联用仪(GC-MS)进行定性定量分析.结果表明,芳香族化合物的总平均浓度为33. 5 ng·m~(-3),明显低于左旋葡聚糖(487 ng·m~(-3)).其中硝基酚类化合物浓度最高(20. 4 ng·m~(-3)),芳香酸类次之(9. 94 ng·m~(-3)),芳香醛类最低(3. 14ng·m~(-3)).受边界层高度、温度降低的影响,8种化合物夜间浓度明显高于日间.硝基酚类、芳香醛类和芳香酸类化合物与左旋葡聚糖呈显著的正相关关系,相关性系数(r)分别为0. 682 9、0. 644 3和0. 678 2,表明生物质燃烧是芳香族化合物的重要一次来源,直接影响其在大气中的浓度水平.结合芳香族化合物总浓度的日变化趋势和后向轨迹模型对其来源进行分析,发现秋季石家庄地区芳香族化合物的污染程度受区域传输和本地排放的综合影响.     

醇类汽油车醇醛酮、芳香烃和烯烃类排放的试验研究

在两辆试验车上分别燃用纯汽油、M15、M30燃料以及纯汽油、E10、E20燃料,进行了常温25℃Ⅰ型、低温-7℃Ⅵ型和Ⅳ型蒸发排放试验.通过FTIR、HPLC、GC-MS等多种方法联合测量了醇类汽油车的醇醛酮、芳香烃和烯烃类排放.结果表明,不论是在常温还是在低温下,随着燃料中醇类比例的增加,未燃甲醇、甲醛、乙醛排放成比例地增加,苯、甲苯、乙烯、丙烯、1,3-丁二烯和异丁烯排放略有降低.在低温环境温度下,各种非常规污染物的排放明显高于在常温环境温度下.E10、汽油、M15这3种燃料在整个蒸发排放试验过程中的HC排放量相差不大.3种燃料在昼间呼吸试验中的各种非常规污染物蒸发排放差异值较小.     

深圳市餐饮油烟醛酮类化合物污染特征研究

餐饮业的快速发展加剧了城市大气污染程度.对深圳市粤菜馆、茶餐厅、西餐厅、湘菜馆4种餐馆及职工食堂排放的醛酮类化合物进行采样分析,并研究其组分特征、大气化学反应活性及排放因子.结果表明,职工食堂醛酮类化合物的基准风量排放浓度最高(742.28μg·m~(-3)),茶餐厅最低(30.49μg·m~(-3)).OH消耗速率法(L_(OH))和臭氧生成潜势(OFP)分析结果表明,深圳市总醛酮L_(OH)值和OFP值最大的餐馆均为西餐厅,其值分别为26.20 s~(-1)和1063.41μg·m~(-3).各餐馆排放己醛的L_(OH)贡献率均较高,为13.10%～64.51%.甲醛为O_3生成的关键活性物质,OFP贡献率为9.29%～59.10%.以灶台数、单位时间及用油量为核算基准的排放因子中,职工食堂醛酮排放因子均最大,分别为(0.16±0.03) g·h~(-1)·stove~(-1)、(5.90±0.13) g·h~(-1)和(1.62±0.04) g·kg~(-1);茶餐厅的醛酮排放因子均最小,分别为(0.34±0.02) g·h~(-1)·stove~(-1)、(0.60±0.02) g·h~(-1)和(0.22±0.01) g·kg~(-1).结合研究结果,本研究从源头控制、净化设备的选择及运营维护等方面对深圳市餐饮油烟醛酮控制及减排提出了相关建议.     

静电油烟净化器对餐饮油烟中醛酮类VOCs的去除

利用2,4-二硝基苯肼（DNPH）硅胶管采集了9家餐饮企业静电油烟净化装置处理前后的醛酮类VOCs样品,并采用高效液相色谱（HPLC）进行分析.结果表明,9家餐饮企业处理前后的油烟中醛酮类VOCs浓度范围分别为419.5~3372,415.8~2934μg/m³,经过基准风量折算后的浓度分别为783.4~3761和541.7~2997μg/m³,VOCs排放浓度与烹饪方式、实际使用灶头数和排风量有关.从排放的醛酮类VOCs的种类来看,C1~C3化合物的浓度占检测到的总羰基的66%以上,且甲醛占比最高,其次是乙醛;C4~C8化合物的含量相对较低.静电式油烟净化器对醛酮类VOCs的平均净化效率为31.82%,最高可达69.14%,其中对甲醛的净化效果最佳,平均为35.21%,最高达80.10%.复合式静电油烟净化器的净化效果要稍好于单一静电油烟净化器.     

Compartmental systems. An appealing class for kinetic modeling and identification of metabolic processes

Problems which arise in quantitative studies on the kinetics of exogenous and endogenous chemical substances within the organism are examined together with approaches for their resolution. Linear and nonlinear compartmental mathematical models are presented and their relevant role for interpreting stimulus‐response experimental data is outlined. Available approaches are then discussed for the resolution of the system identification problem, including a priori and a posteriori identifiability, parameter estimation from test measurement data and optimum design of kinetic experiments. Finally, approaches to the problem of validation are reviewed.