施用生物质炭对黑土黑碳含量和结构特征的影响

生物质炭(Biochar,Bc)是黑碳(Black Carbon,BC)的一种,当前关于生物质炭在农业上的研究大都集中在其对土壤理化性质和作物生长的影响,而关于施用生物质炭对土壤黑碳结构和数量影响的研究很少.为了解施用生物质炭对土壤黑碳的影响,本试验采用盆栽试验的方法,设置4个处理,施加生物质炭量分别为0(CK)、6、12和24 t·hm-2,采用Wolbach-Anders法对土壤中的黑碳进行提取,运用元素分析、红外光谱和热重分析等方法研究了不同施入量的生物质炭对土壤黑碳产生的影响.实验结果表明:施用玉米秸秆生物质炭能明显增加土壤中黑碳的含量,随着生物质炭施用量的增加,不同处理相对于对照(CK)中土壤黑碳含量分别提升7.04%、22.96%和46.90%.施用玉米秸秆生物质炭降低了黑碳的脂族性、氧化性,提升了黑碳的缩合度、芳化度,提高了黑碳结构的稳定性,提高了土壤黑碳的热稳定性.施用玉米秸秆生物质炭能够提高p H,提高土壤的速效养分含量.     

硝酸盐浓度对微生物燃料电池阳极产电性能的影响

采用以假单胞菌Pseudomonas sp.C27为阳极优势菌属的微生物燃料电池(MFC)为研究对象,重点考察了进水中的硝酸盐浓度对于MFC系统产电及污染物去除的影响.实验结果表明,硝酸盐对于MFC的库仑效率(CE)影响较大,当硝酸盐浓度为250 mg·L~(-1)时,其电压下降段库仑效率仅为0.17%,而阳极未加入硝酸盐时,库仑效率为9.3%.当阳极初始硝酸盐浓度由0 mg·L~(-1)增加到250 mg·L~(-1)时,系统的传荷内阻由16.3Ω下降至11.2Ω,输出电压经短暂的电压下降后迅速回升至稳定,其稳定阶段输出电压与未受抑制阶段基本持平,最大输出功率可达到120 m W·m~(-2)左右.当硝酸盐浓度大于300 mg·L~(-1)时,硝酸盐对阳极微生物产电活性造成不可逆的抑制作用,系统产电能力大幅度下降且无法恢复至未受抑制阶段.可见,阳极生物反硝化过程对阳极生物产电具有电子竞争作用,过高的硝酸盐浓度会造成阳极生物膜产电性能降低甚至完全丧失.     

鲤体内芳香烃受体的分离纯化及其与葸的相互作用

从暴露于污染物蒽的鲤肝脏中提取出芳香烃受体,并采用紫外可见分光光度计进行最大吸收波长扫描,再通过离子交换层析法分离纯化鲤体内的芳香烃受体,并采用聚丙烯酰胺凝胶电泳对受体进行鉴定,最后通过傅里叶变换红外光谱探讨芳香烃受体与蒽结合后的结构变化.结果表明,提取的芳香烃受体在280 nm处有特征吸收峰,测得质量浓度为27.3 mg/mL.通过离子交换层析法纯化了单一组分的受体蛋白质,其相对分子质量约为110 kD.测定了芳香烃受体的红外光谱,与蒽结合后其在一定波段的谱峰发生了明显位移,表明污染物配体蒽能与芳香烃受体结合,并对其蛋白二级结构产生明显影响.     

Rapid estimation of compost enzymatic activity by spectral analysis method combined with machine learning

The aim of this study was to investigate the feasibility of using visible near-infrared (VisNIR) diffuse reflectance spectroscopy (DRS) as an easy, inexpensive, and rapid method to predict compost enzymatic activity, which traditionally measured by fluorescein diacetate hydrolysis (FDA-HR) assay. Compost samples representative of five different compost facilities were scanned by DRS, and the raw reflectance spectra were preprocessed using seven spectral transformations for predicting compost FDA-HR with six multivariate algorithms. Although principal component analysis for all spectral pretreatments satisfactorily identified the clusters by compost types, it could not separate different FDA contents. Furthermore, the artificial neural network multilayer perceptron (residual prediction deviation = 3.2, validation r² = 0.91 and RMSE = 13.38 μg g^?1 h^?1) outperformed other multivariate models to capture the highly non-linear relationships between compost enzymatic activity and VisNIR reflectance spectra after Savitzky–Golay first derivative pretreatment. This work demonstrates the efficiency of VisNIR DRS for predicting compost enzymatic as well as microbial activity.     

内源呼吸过程溶解性代谢产物的光谱特性分析

微生物内源呼吸期对污水处理过程具有重要意义.为了更清晰地了解微生物内源呼吸过程,采用三维荧光光谱、紫外光谱结合呼吸图谱对微生物内源呼吸过程进行解析.结果表明,三维荧光光谱和紫外光谱在内源呼吸各个阶段有明显的不同:1内源呼吸快速下降期(第1 d):腐殖酸峰的激发波长(Ex)和发射波长(Em)分别出现5 nm、6 nm的蓝移,荧光指数f450/500和HIX(humification index)分别减小了9.3%、0.2%,UV253/203和UV254分别增加了37.5%、200%,预示着混合液中可生物降解有机物的存在;2内源呼吸慢速下降期(第2 d):f450/500增加了0.5%,HIX减小0.2%,UV253/203减小了20%,UV254增加了16.7%,预示着细胞可能出现了水解或自溶;3内源呼吸稳定期(第3~5 d):腐殖酸峰基本保持不变预示了微生物适应了饥饿环境.本研究从代谢产物的角度解析了内源呼吸过程,为污水处理过程控制提供了新的思路.     

Evaluation of Bacillus sp. MZS10 for decolorizing Azure B dye and its decolorization mechanism

To evaluate decolorization and detoxification of Azure B dye by a newly isolated Bacillus sp. MZS10 strain, the cultivation medium and decolorization mechanism of the isolate were investigated. The decolorization was discovered to be dependent on cell density of the isolate and reached 93.55%(0.04 g/L) after 14 hr of cultivation in a 5 L stirred-tank fermenter at 2.0 g/L yeast extract and 6.0 g/L soluble starch and a small amount of mineral salts. The decolorization metabolites were identified with ultra performance liquid chromatography-tandem mass spectroscopy(UPLC-MS). A mechanism for decolorization of Azure B was proposed as follows: the C=N in Azure B was initially reduced to –NH by nicotinamide adenine dinucleotide phosphate(NADPH)-dependent quinone dehydrogenase, and then the –NH further combined with –OH derived from glucose to form a stable and colorless compound through a dehydration reaction. The phytotoxicity was evaluated for both Azure B and its related derivatives produced by Bacillus sp. MZS10 decolorization, indicating that the decolorization metabolites were less toxic than original dye. The decolorization efficiency and mechanism shown by Bacillus sp. MZS10 provided insight on its potential application for the bioremediation of the dye Azure B.     

The National Vegetation Classification Standard applied to the remote sensing classification of two semiarid environments

The National Vegetation Classification Standard (NVCS) was implemented at two US National Park Service (NPS) sites in Texas, the Padre Island National Seashore (PINS) and the Lake Meredith National Recreation Area (LMNRA), to provide information for NPS oil and gas management plans. Because NVCS landcover classifications did not exist for these two areas prior to this study, we created landcover classes, through intensive ground and aerial reconnaissance, that characterized the general landscape features and at the same time complied with NVCS guidelines. The created landcover classes were useful for the resource management and were conducive to classification with optical remote sensing systems, such as the Landsat Thematic Mapper (TM). In the LMNRA, topographic elevation data were added to the TM data to reduce confusion between cliff, high plains, and forest classes. Classification accuracies (kappa statistics) of 89.9% (0.89) and 88.2% (0.87) in PINS and LMNRA, respectively, verified that the two NPS landholdings were adequately mapped with TM data. Improved sensor systems with higher spectral and spatial resolutions will ultimately refine the broad classes defined in this classification; however, the landcover classifications created in this study have already provided valuable information for the management of both NPS lands. Habitat information provided by the classifications has aided in the placement of inventory and monitoring plots, has assisted oil and gas operators by providing information on sensitive habitats, and has allowed park managers to better use resources when fighting wildland fires and in protecting visitors and the infrastructure of NPS lands.     

空气—乙炔原子吸收分光光度法测定大气污染源中的镉含量

本文研究了硝酸高氯酸体系消解火焰原子吸收法测定烟尘颗粒物中镉的方法。方法的检测限为３×１０－６ｍｇ／ｍ３（采样体积１０ｍ３）。实际样品测定的相对偏差小于１０％，加标回收率大于８８％     

非分散红外光度法测定钦食业油烟的排放浓度

将采集油烟的滤筒,移入比色管内已定容的CCl4溶剂中,将比色管置于超声器上清洗20min,用非分散红外光度法可直接测定清洗液中油烟的含量.实际样品测定结果表明,该方法简便易行,准确性较好.