Biogenic volatile organic compound analyses by PTR-TOF-MS: Calibration, humidity effect and reduced electric field dependency

Green leaf volatiles(GLVs) emitted by plants after stress or damage induction are a major part of biogenic volatile organic compounds(BVOCs). Proton transfer reaction time-of-flight mass spectrometry(PTR-TOF-MS) is a high-resolution and sensitive technique for in situ GLV analyses, while its performance is dramatically influenced by humidity, electric field,etc. In this study the influence of gas humidity and the effect of reduced field(E/N) were examined in addition to measuring calibration curves for the GLVs. Calibration curves measured for seven of the GLVs in dry air were linear, with sensitivities ranging from 5 to10 ncps/ppbv(normalized counts per second/parts per billion by volume). The sensitivities for most GLV analyses were found to increase by between 20% and 35% when the humidity of the sample gas was raised from 0% to 70% relative humidity(RH) at 21°C, with the exception of(E)-2-hexenol. Product ion branching ratios were also affected by humidity,with the relative abundance of the protonated molecular ions and higher mass fragment ions increasing with humidity. The effect of reduced field(E/N) on the fragmentation of GLVs was examined in the drift tube of the PTR-TOF-MS. The structurally similar GLVs are acutely susceptible to fragmentation following ionization and the fragmentation patterns are highly dependent on E/N. Overall the measured fragmentation patterns contain sufficient information to permit at least partial separation and identification of the isomeric GLVs by looking at differences in their fragmentation patterns at high and low E/N.     

New insights into disruption of iron homeostasis by environmental pollutants

Among the numerous health conditions environmental pollutants can cause, chronic exposure to pollutants including persistent organic pollutants (POPs) and heavy metals has been shown to disturb a specific biological homeostatic process, the iron metabolism in human body. Disorders of iron metabolism are among the common diseases of humans and encompass a broad spectrum of diseases with different clinical manifestations, ranging from anemia to iron overload, and possibly to neurodegenerative diseases and cancer. Hepcidin–ferroportin (FPN) signaling is one of the key mechanisms responsible for iron supply, utilization, recycling, and storage, and recent studies demonstrated that exposure to environmental pollutants including POPs and heavy metals could lead to disruption of the hepcidin–FPN axis along with disordered systemic iron homeostasis and diseases. This article introduces and highlights the accompanying review article by Drs. Xu and Liu in this journal, which elaborates in detail the adverse effects of environmental pollutants on iron metabolism, and the mechanisms responsible for these toxicological outcomes. It also points out the knowledge gaps still existing in this subject matter. Research that will fill these gaps will improve our understanding of the issue and provide useful information to prevent or treat diseases induced by environmental pollutants.     

连续流动法测定沉积物中的酸挥发性硫化物

优化沉积物中酸挥发性硫化物(Acid Volatile Sulfide,AVS)的提取方法并采用连续流动分析法检测提取液中的硫化物.研究了吸收液的种类、氮气流量与吹气的时间和反应温度对AVS提取效果的影响以优化提取方法.结果表明,与传统的氢氧化钠或硫酸镉-氢氧化钠吸收液相比,以氯化锌-羧甲基纤维素钠溶液为吸收液吸附效率好,稳定性高且无毒.用连续流动分析法检测提取液中的AVS快速、准确、稳定性好.     

珠三角表层沉积物的有机碳及其与卤系阻燃剂的关系

测定了珠江三角洲130个表层沉积物中总有机碳(TOC)和10类卤系阻燃剂(HFRs)的含量,并探讨了TOC与HFRs之间的关系.结果表明:珠三角表层沉积物TOC范围为0.16％～5.76％,平均值为1.25％,呈现明显的空间变化.在工业化程度较高的东莞和广州,沉积物中HFRs与TOC有显著的相关性,而西江和珠江口沉积物中HFRs与TOC的相关性较差,可能与珠江三角洲水动力过程、电子垃圾拆解活动和HFRs不同的来源有关.     

桂林市公共场所空气污染的检测与分析

采用甲醛检测仪、有机气体检测仪等测试分析了桂林市宾馆、商场、候车室、家具城、文化娱乐场等公共场所的甲醛和TVOC浓度。结果显示:候车室和文化娱乐场所的甲醛、TVOC合格率均为100%;宾馆、商场、家具城的TVOC合格率分别为98.7%、98.9%、95.0%,甲醛合格率分别为78.8%、91.1%、85.0%;皮革制品、家具板材等为主要的甲醛和TVOC污染源。     

济宁南部区域耕作层土壤有机碳密度及储量研究

济宁市南部区域是著名的国家商品粮、优质大蒜、优质稻米和有机蔬菜生产基地,由于土壤有机碳作为农田生态系统中土壤肥力的重要组成成分之一,在土壤改良、作物质量和产量提高等方面都有十分重要的作用,因此,对济宁南部区域耕作层土壤有机碳密度及储量的研究具有十分重要的意义。本文以济宁南部煤田地区作为典型区域,以耕作层土壤(0~20cm)为研究对象,采集了79件耕作层土壤样品,利用元素分析仪测定了土壤样品中有机碳含量。经统计分析发现,各类型土壤有机碳密度介于1.92~4.83kg/m2之间,有机碳密度的加权平均值为4.03kg/m2,高于中国表层土壤有机碳密度的平均值2.97kg/m2;通过壤质类型分类而估算的有机碳总储量为4.57×109 kg,通过土壤利用方式分类而估算的有机碳总储量为4.53×109 kg,二者基本吻合;济宁南部区域耕作层土壤有机碳富集程度受人类活动影响较大,耕作层土壤中氮含量与有机碳的线性相关系数为0.924 9;另外,有机碳富集程度与秸秆返田规模也有着一定的关联。研究结果不仅为研究区今后开展耕作层土壤环境质量评价提供依据,也为区域生态平衡研究奠定了基础。     

外源有机酸添加对风化煤矸石污染释放及重金属有效性的影响

为评价不同类型有机酸对风化煤矸石污染释放的影响,通过在风化煤矸石中添加不同种类的外源有机酸(腐殖酸、柠檬酸、草酸、水杨酸)进行处理,分析稳定7d后煤矸石浸出液的特征污染组分及TCLP提取态重金属含量。结果表明:对照处理组的风化煤矸石浸出液具有典型的酸性矿山废水特征。添加少量柠檬酸、草酸和水杨酸能显著(p0.05)降低风化煤矸石浸出液的pH和Eh值、明显增加浸出液的盐度、亚铁、总铁和硫酸盐含量,然而腐殖酸处理对浸出液pH、EC、Eh无明显影响,且可降低浸出液硫酸盐含量。少量外源有机酸添加均能不同程度促进风化煤矸石中Fe、Mn、Cu、Zn元素溶出,其中水杨酸处理对4种金属元素的溶出量较大。然而4种外源有机酸处理则能有效抑制Pb溶出,其中柠檬酸、水杨酸处理抑制效果最明显。有机酸添加对风化煤矸石的重金属有效性影响表现为4种外源有机酸处理均能明显增加风化煤矸石中Mn元素的有效性,降低Zn元素的有效性,但对Fe元素的有效性影响不明显。4种外源有机酸添加对煤矸石中Cu元素有效性具有不同程度的影响,其中腐殖酸、草酸处理能明显降低Cu元素有效性,而柠檬酸和水杨酸处理则明显增加Cu的有效性。     

城市安全供水综合指数研究-以太原为例

采集太原市不同区住户的自来水和12种瓶装水,分析了水中无机离子和挥发性有机物( VOCs)成分.结果表明,无机离子和VOCs的总浓度范围分别为1.08~354.18 mg/L和0.43~13.98 μg/L;自来水中的无机离子与VOCs 含量最高,约是瓶装水中浓度的三倍.加热与过滤处理措施均可改善自来水水质,对水中无机离子和VOCs的去除效果均可达19%~100%,其中过滤可能会引发VOCs的二次污染 .根据饮用水标准,使用饮用水水质指数( DWQI)模型对水质评价结果显示,太原市饮用水水质总体较好.     

被动加标在水生生态风险评价中的应用——以多氯联苯分配系数的测定为例

准确的水生生态风险评价需要可靠的毒性数据,而其获取要求在一定时间范围内,水体中污染物的浓度保持恒定。对疏水性有机污染物进行水体生物毒性测试时,通常采用有机溶剂加标,然而该方式可能因为污染物的挥发和降解、容器壁吸附、生物摄取等问题,水体中污染物浓度持续下降,导致污染物的浓度-效应关系难以明确。近期为了克服这些问题,被动加标用于替代溶剂加标,通过污染物在加标体系中平衡分配来维持精确和恒定的水体浓度,同时还可通过测定加标聚合物中污染物的浓度来监测水体浓度。首先介绍了被动加标方法及其材料选择,讨论了该方法在生态风险评价中的主要应用,包括分配系数的测定、体外细胞测试、体内生物积累及毒性测试,以及沉积物毒性评价等。然后,以测定代表污染物多氯联苯在聚二甲基硅氧烷与水间的分配系数为例,详细说明被动加标的操作流程。最后,讨论了被动加标方法的优缺点,并对其在水生生态风险中的应用前景进行了展望。     

有机化学品不同温度下(过冷)液体蒸气压预测模型的建立与评价

(过冷)液体蒸气压(PL)是评价化学品在环境中分配、迁移和归趋行为的重要参数。PL具有较强的温度依附性。发展一种能够精确预测不同环境温度下化学品PL的方法,有助于填补化学品生态风险评估的大量数据缺失。本研究收集整理了661种有机化合物在不同温度下(200~830 K)共计10 478个log PL值。在此基础上,采用偏最小二乘(PLS)回归和支持向量机(SVM)方法,构建了PL的线性和非线性预测模型。结果表明:2种模型均具有良好的拟合度、稳健性及预测能力,SVM模型的预测性能略高于PLS模型(PLS:R2adj.tra=0.912,RMSEtra=0.477,Q2ext=0.910;SVM:R2adj.tra=0.997,RMSEtra=0.092,Q2ext=0.967)。机理分析表明,温度是影响PL的主要因素,温度越高,蒸气压越大;其次,X1sol也影响PL大小,X1sol用来描述分子间的色散作用,分子间色散力越小,蒸气压越大;此外,化合物的氢键个数、极性和分子构型等因素也影响PL大小。采用Wiliams plot方法表征了PLS模型应用域。所建立的模型可用来预测烷烃、烯烃、醇、酮、羧酸、苯、酚、联苯、卤代芳香烃、含N化合物及含S化合物在不同温度下的PL数据。