Effect of Cross-Linking Waste Protein with Dialdehydes on Its Biodegradation Under Anaerobic Conditions

Most native polymers used in processing and application technologies are admittedly disposable from the environment in a biologic manner, but products possess low mechanical strength. One of the paths to increasing this attribute (if feasible) is their cross-linking, which may, however, affect their readiness to biodegradation. In the presented work this condition was observed on the example of waste protein (Hykol B) cross-linking by means of glutardialdehyde and glyoxal. Degree and course of cross-linking were determined through impedance spectroscopy. The objective of this work also was to obtain data for constructing a sensor capable of following the cross-linking course in real time, for potential industrial application of Hykol in continuous production. Impedance spectroscopy proved to be applicable even to this kind of material marked by considerable water content and exhibiting relatively high electric conductivity; so far it had been used only for materials of low conductivity. An aqueous environment inoculated with digested anaerobic sludge from a municipal wastewater treatment plant was selected for modeling anaerobic conditions. The relation was studied between cross-linking degree given by content of cross-linking agent (determined by impedance spectroscopy) and biodegradation degree under anaerobic conditions. It was confirmed that network density as given by quantity of added agent not only reduced breakdown degree but also slowed the course of the process. This fact is particularly obvious with cross-linking by means of glyoxal; network density is thus dependent on type of employed substance, which affect type and structure of created network. That not merely forms an obstacle during polymer swelling and dissolution but also prevents access of bacteria to source of metabolized organic carbon.     

基于机器学习分类算法解析EIS数据的有机涂层性能评价方法

目的 基于机器学习分类算法快速评估有机涂层的防腐性能。方法 通过实验室加速试验模拟涂层真实的退化过程,并根据测得的电化学数据,分析不同退化阶段的等效电路元件参数。随后,采用随机抽样方法获取大量数据,用于机器学习模型训练。通过对比支持向量机(SVM)、k最近邻(k-NN)和随机森林(RF)3种不同的机器学习算法,以及多种输入特征集训练的涂层性能分类器模型的准确率,分析最适合用于涂层性能快速评估的机器学习算法和电化学特征。结果 根据不同输入特征训练的k-NN和RF模型均表现出良好的预测效果,而SVM模型的预测效果相对较差。根据不同频率范围训练的分类器模型中,在低频区表现最佳,而在高频区表现较差。结论 基于阻抗虚部、虚部+实部和阻抗模值3种输入特征训练的RF分类器模型的预测效果最准确。不同频率区间内,低频区的阻抗特征更能准确表征涂层性能。     

组合人工湿地对城镇污水处理厂尾水中有机物的去除特征研究

采用物理分级和三维荧光光谱法,研究了组合人工湿地对城镇污水处理厂尾水中不同形态有机物的去除特征.结果表明,组合人工湿地对污水处理厂尾水具有较好的深度处理效果,出水水质基本可以达到国家地表水环境质量标准(GB38382-2002)Ⅲ或Ⅳ类水标准.组合人工湿地处理系统对尾水中CODCr和BOD5总体去除率分别达到35.2%和44.3%,对尾水中总有机碳(TOC)、溶解性有机碳(DOC)、颗粒有机碳(POC)的平均去除率分别为46.9%、45.9%、48.3%.组合人工湿地系统不同单元对尾水中有机物的去除贡献率存在差异,其中,潜流湿地单元对尾水中CODCr和BOD5及其不同组分有机碳的去除效率较高.试验期间,由于藻类滋生,表流湿地单元出水中有机物含量波动较大,去除效果明显降低,藻类被打捞后,出水水质明显改善.三维荧光光谱分析结果显示,各个处理单元取样点的水样三维荧光光谱均出现4个明显的荧光峰.人工湿地各单元出水溶解性有机质(DOM)中,类蛋白和类腐殖酸物质含量较高,类富里酸物质含量较低.人工湿地对类蛋白和类腐殖酸物质有较强的去除作用.     

分子光谱技术在水体微塑料监测中的应用

水域、陆地和空气中的微塑料污染不仅对人们赖以生存的生态系统有潜在危害,而且对人类的身体健康存在持续性危害。针对这些污染问题开展研究的首要任务之一就是需要鉴定微塑料的成分,从而明确可能产生污染的源头以及引起污染的途径。分子光谱技术是鉴别微塑料最常用的分析方法之一,尤其是红外光谱法和拉曼光谱法。建立了基于分子光谱技术的水体微塑料检测方法,可实现对水体中1～5 000μm尺寸范围内的微塑料的自动化测试。其中,尺寸大于10μm的微塑料颗粒物可以通过显微红外光谱仪进行检测,尺寸大于1μm的微塑料颗粒物可以通过显微拉曼光谱仪进行检测。该方法操作简单、检测速度快、结果呈现直观,可作为微塑料检测的有力工具。     

Evidence on the causes of the rising levels of CODMn along the middle route of the South-to-North Diversion Project in China: The role of algal dissolved organic matter

As the biggest inter-basin water transfer scheme in the world,the South-to-North Water Diversion Project（SNWD） was designed to alleviate the water crisis in North China.The main channel of the middle route of the SNWD is of great concern in terms of the drinking water quality.In this study,we tested the hypothesis that the dissolved organic matter（DOM） derived from the planktonic algae causes the rising levels of COD_Mn along the middle route by monitoring data on water quality（2015-20...     

航空压力环境对锂离子电池热解气体爆炸极限影响*

针对航空锂离子电池热失控释放气体安全性研究不足的问题,采用气体拉曼光谱技术、气相色谱仪(Gas Chromatography,GC)和质谱(Mass Spectroscopy,MS)耦合来探究压力和荷电状态(State of Charge,SOC)对锂离子电池早期故障气体类型、气体动态演变及气体潜在危险性等特征的影响规律,同时综合考虑压力、电压和电池温度等多种因素分析锂离子电池热失控危害。研究结果表明:电池SOC越高且环境压力越低,电池越早触发热失控,爆炸极限越宽,其中30 kPa下100%SOC电池热解气体爆炸极限为8.01%~53.35%;SOC和环境压力越高,电池热失控越危险,释放的气体体积越多;CO,CO2,PF3,C2H4及电解液（C3H6O2、C3H6O3、C4H8O2）等气体可作为航空锂离子电池早期故障诊断特征。研究结果对保障锂离子电池在航空领域的安全运输及应用具有重要意义。     

X射线光电子能谱在HTPB推进剂老化机理研究中的应用

采用X射线光电子能谱（XPS）法研究了HTPB推进剂在80℃热空气烘箱内分别老化0周、13周和24周的元素组成、化学价态及含量变化。通过拟合C,O,N,Cl等元素的XPS谱图,推测该推进剂在常温（25℃）贮存老化初期应是氧化交联,后期则出现降解断链,并认为NH4ClO4缓慢分解,攻击C C不饱和双键,使得C C双键含量降低是HTPB推进剂老化失效的主要原因。Al粉被包裹在推进剂粘合剂内部,XPS法未能检出Al粉。由于Al粉比较稳定,不参与推进剂老化过程,故XPS仍可用于HTPB推进剂老化机理研究。     

纤维增强气凝胶复合材料高温结构转变及热稳定性研究

目的研究高温受热条件下纳米复合隔热材料的结构转变特征及热稳定性。方法采用扫描电镜、X射线衍射仪、红外光谱仪及热重仪等检测方法。结果纤维增强气凝胶材料从室温到650℃存在连续的质量损失,从室温到放热前,质量损失为1.66%;365℃开始出现放热,温度升至398℃时达到峰值,整个放热过程对应质量损失约为1.3%;从435℃放热结束开始到650℃的质量损失为1.46%。经过400℃热处理后,试样比表面积从268m~2/g增加到437m~2/g;当试样热处理温度达到600℃时,试样的比表面积明显随之降低至198m~2/g。结论 SiO_2气凝胶复合材料以无定形结构为主,存在少量的二氧化钛晶体。在400℃左右,SiO_2气凝胶结构中硅甲基Si—CH_3发生氧化,产生明显的放热峰,之后硅羟基Si—OH之间发生缩聚反应,使600℃热处理后气凝胶中Si—O—Si网络骨架强度有所提高。未处理的纤维增强气凝胶材料试样上气凝胶纳米颗粒构成的块体较为良好地包裹在玻璃纤维表面,而经过600℃的高温热处理1 h后,块体气凝胶脱离了光滑的纤维表面,气凝胶纳米粒子发生收缩,致使材料比表面积下降。     

堆放垃圾渗滤液水溶性有机物的荧光特性

为揭示堆放垃圾渗滤液物质组成特性及其变化规律,采用三维荧光光谱,对4个不同垃圾堆场渗滤液水溶性有机物(DOM)进行了研究.结果显示,堆放垃圾渗滤液样品S1中含有2类蛋白荧光峰:类酪氨酸荧光峰和类色氨酸荧光峰,其他3个样品(S2、S3及S4)只含有类色氨酸荧光峰,此外还出现了类腐殖质荧光峰,且不同样品中该峰的数目、类型及位置均存在差异,显示渗滤液样品S1只含有类蛋白类物质,而其他3个样品除此之外还含有类腐殖质物质,且腐殖化程度各异.类蛋白类物质-Hg(II)配位研究显示,与类色氨酸荧光峰相比,类酪氨酸荧光峰更易受介质微环境改变影响;室温培养模拟研究显示,与类腐殖质物质相比,类蛋白类物质更易发生降解.三维荧光光谱可以有效表征堆场渗滤液DOM物质组成及其变化规律.     

Magnetic resonance spectroscopy of the fetal brain

Fetal magnetic resonance spectroscopy (MRS) is technically feasible in utero and demonstrates similar findings to those observed in neonatal populations. MRS can provide additional information to conventional T1- and T2-weighted imaging of the fetal brain. It is of particular use when subtle changes are present on conventional fetal MRI sequences, and when imaging fetuses at risk of brain injury and metabolic abnormalities. Copyright © 2009 John Wiley & Sons, Ltd.