CeO2-CuO/粉煤灰吸附SO2/NO性能分析

利用室温液相浸渍法将粉煤灰制备成CeO2-CuO/粉煤灰,提高了粉煤灰对SO2/NO的吸附效率。采用XRF、XRD、SEM等手段对其进行表征测试,结果表明,粉煤灰的晶相结构主要为石英和莫来石,且改性后表面变得更为粗糙,孔隙增多。利用吸附反应装置优化SO2/NO的反应条件,结果表明：在样品量为0.3 g、温度为50 ℃、SO2流速为8 mL·min-1、O2流速为4?mL·min-1时,CeO2-CuO/粉煤灰对SO2吸附效果最佳;在样品量为0.4?g、温度为70?℃、NO流速为6?mL·min-1、O2流速为4?mL·min-1时,对NO吸附效果最佳。共吸附会降低各自的吸附效率。利用原位FTIR分析表明：SO2在CeO2-CuO/粉煤灰表面主要生成硫酸盐和亚硫酸盐物种;NO则主要生成硝酸盐和亚硝酸盐物种。     

1H-NMR-based metabolomic study on toxicity of methomyl and methidathion in fish

A ¹H-nuclear magnetic resonance (NMR) spectroscopy with multivariate analysis was applied to detect the toxicity of antiacetylcholinesterase insecticides, methomyl (methyl (1E)-N-(methylcarbamoyloxy)ethanimidothioate) and methidathion (3-(dimethoxyphosphinothioyl sulfanylmethyl)-5-methoxy-1,3,4-thiadiazol-2-one), using zebrafish (Danio rerio) and Chinese bleak (Aphyocypris chinensis). Generally, methomyl and methidathion have been believed not to highly accumulate in fish tissues. However, these pesticides showed their toxicity by altering patterns of whole-body metabolites in neurotransmitter balance, energy metabolism, oxidative stress, and muscle maintenance in low concentrations. We used Pearson correlation analysis to contextualize the metabolic markers in pesticide treated groups. We observed that the positive correlations of choline with acetate and betaine in untreated control were shifted to null correlations showing acetylcholinesterase specific toxicity. This research demonstrated the applicability and potential of NMR metabolomics in detecting toxic effects of insecticide with a modicum of concentrations in aquatic environment.     

水稻秸秆生物炭对罗丹明B的吸附与降解

生物炭对污染物的吸附是生物炭环境效应研究的重要环节,而生物炭中的自由基对有机污染物降解行为的影响还没有得到应有的关注。以水稻秸秆为原材料,研究不同热解温度下制备的生物炭对罗丹明B的吸附和降解,通过荧光光谱法分析生物炭-罗丹明B体系反应前后上清液荧光光谱特性的变化来表征其中的降解现象。结果表明,在350℃和500℃生物炭-罗丹明B反应体系中,其上清液荧光光谱明显发生蓝移现象,表明该体系中存在着明显的降解现象。通过对这2个体系反应后生物炭固体颗粒的萃取来对降解作用进行定量分析,降解作用在这2个体系中所占的比例分别为28%和30%。水稻秸秆生物质炭对罗丹明B具有较好的吸附效果,Freundlich方程可以较好地描述水稻秸秆生物质炭对水中罗丹明B的吸附行为,固液比在3：1 000时生物炭最大吸附量为3.33 mg·g-1。这表明在水稻秸秆生物炭-罗丹明B反应体系中,不仅存在吸附作用,还伴随降解作用。     

导数恒能量同步荧光法同时分析咔唑、苯并(a)芘、苝和2,3-苯并蒽

建立了咔唑、苯并(a)芘、苝和2,3-苯并蒽四组分同时测定的导数恒能量同步荧光分析法,该法简便快速,无需对混合物进行分离,只需一次扫描,就可实现四组分的同时鉴别和定量测定．该方法用于海水、自来水和大气飘尘的分析,取得了良好的效果,回收率分别为94％-104％,91．7％-104％和82．3％-112．5％．     

能量色散X射线荧光法快速测定生物质燃料中的磷含量

应用能量色散X射线荧光光谱法建立了生物质燃料中磷含量的快速测定方法。对比分析压片压力条件、基体效应和干扰元素,明确了能量色散X射线荧光光谱法的测试条件,通过加标回收率实验、标准样品测试、ICP-OES方法对比等获得实验结果。实验结果表明:能量色散X射线荧光光谱法用于生物质燃料样品的分析,标准工作曲线线性相关系数为0.998 3,方法检出限为0.4 mg/kg,平均加标回收率为98.1%,测定值的相对标准偏差为1.36%~4.92%,标准样品磷含量在标准值不确定度内,能量色散X射线荧光光谱法与行业标准ICP-OES方法的准确度和精密度不存在显著性差异,可应用于生物质中磷含量的环境监测。     

Evaluating Ecological Condition Using Soil Biogeochemical Parameters and Near Infrared Reflectance Spectra

Rapid, repeatable assessment of ecological condition is critical for quantitative ecosystem monitoring. Soils provide a sensitive, integrative indicator for which sampling and analysis techniques are well defined. We evaluated soil properties as indicators of ecological condition (subjectively classified into minimally/moderately/severely degraded based on vegetative, hydrologic and edaphic cues) at 526 sites within Ft. Benning military installation (Georgia, USA). For each sample, we measured 17 biogeochemical parameters, and collected high-resolution diffuse reflectance spectra using visible/near infrared reflectance spectroscopy (VNIRS). VNIR spectra have been related to numerous soil attributes — we examine them here for diagnosing integrated response (i.e., ecological condition). We used ordinal logistic regression (OLR) and classification trees (CT) to discriminate between condition categories using both sets of predictors (biogeochemistry and spectra). Sixteen biogeochemical parameters were significantly different across condition categories; however, multivariate models greatly improved discrimination ([calibration, validation] accuracy of [69%, 66%] and [96%, 73%] for OLT and CT models, respectively). Important predictors included total C, total P, and Mehlich K/Ca/Mg. VNIR spectra further improved discrimination ([calibration, validation] accuracy of [74%, 70%] and [96%, 75%] for OLR and CT models, respectively). While spectra were comparably effective at discriminating minimally degraded sites, they were significantly more effective at discriminating severely degraded sites. Error rates across confounding factors suggest that watershed of origin and landscape position were the only important confounders, likely due to imbalanced sampling. We conclude that multivariate diagnosis improves accuracy, and that VNIR spectroscopy, which yields substantial cost and logistical improvements over conventional analyses, provides an effective tool for rapid condition diagnosis.     

Surface characterization of acid-oxidized multi-walled carbon nanotubes

Multi-walled carbon nanotubes (MWNTs) oxidized with sulfuric acid, nitric acid, and the mixture of sulfuric and nitric acids were characterized by thermogravimetric analysis (TGA), Raman spectroscopy, elemental analysis, X-ray diffraction, and X-ray photoelectron spectroscopy. The TGA data showed that the MWNTs were more resistant to oxidation than C₆₀ or activated carbon fibers. Catalyst particles could be removed by the oxidants containing sulfuric acid, and thus indicative of the tip opening of MWNTs. The sulfuric acid had a propensity to create defect sites and introduce the surface oxides at those defects that already exist or be newly generated on MWNTs. However, the acid mixture could open the caps of MWNTs but preserve the structure homogeneity. The treatment with nitric acid gave rise to the highest bulk oxygen content in MWNTs, while the most abundant surface oxides were provided by sulfuric acid oxidation. In addition, nitric acid exhibited the best ability to transform the phenolic groups into carboxyl groups.     

Analysis of particulates by Raman microprobe†

We describe a new technique of local analysis of heterogeneous samples which is analogous to the electron or ion microprobe but is based on molecular spectra of materials to characterize the different components of a microscopic sample and (or) to obtain images giving their surface distribution.

The sample is illuminated by a laser beam causing characteristic Raman lines of the different components to be emitted. Using these Raman lines, the components can then be detected, identified and located. For this purpose, the microscopic area of the preparation which is illuminated is analysed by a conventional optical microscope coupled with a tunable band pass filter and a multichannel or monochannel detection system.

One main advantage of this technique is the ability to study samples not under vacuum but in air, under a controlled atmosphere or even inside a transparent matrix. Normal Raman spectra can be obtained from particles of 1 μm size and larger, and are the basis for the qualitative identification of molecular constituents. The technique has been applied to molecular microanalysis of matter in the particulate form (i.e., Airborne particles—stack particulates, flyash, asbestos minerals, defects and inclusions in industrial materials,...). It is especially interesting for organic materials which are not detected by other methods. Different examples illustrate this technique.     

Dissipation of fluvalinate and characterisation of its degradation products on chickpea crop by mass spectroscopy

Fluvalinate was applied on chickpea crop at (i) 0.056, (ii) 0.112 and (iii) 0.56 kg a.i. ha^‐1 to evaluate its rate of dissipation. Two major degradation products of fluvalinate formed on the crop were identified and characterised as phenoxybenzoic acid and 2‐[2‐chloro‐4‐(trifluoromethyl)anilino]‐3‐methylbutanoic acid. They were estimated in day‐5 and day‐10 samples of chickpea crop as their methyl esters by gas liquid chromatography.