多孔建材中VOC扩散系数的两尺度模型

基于对建材微观结构的分析和压汞实验,提出了预测建材中有机挥发物(VOC)扩散系数的宏观一介观两尺度模型.和传统的从压汞实验计算扩散系数方法不同的是,本模型不仅考虑了孔隙率,还对孔的尺度分布和孔的连接方式进行了研究和分析.三种不同中密度板中VOC的散发实验表明,采用新模型计算的扩散系数比文献中的传统模型更好地吻合实验数据.     

室内空气中甲醛浓度的测定

目的为了快速准确的测定高校室内空气中甲醛浓度。方法采用乙酰丙酮分光光度法,对计算机房、物理实验室、化学实验室三个房间的甲醛浓度进行了测定分析。结果相对于化学实验室来说,计算机房的甲醛浓度多了0.77倍;物理实验室的甲醛浓度比化学实验室的多了0.98倍。结论室内空气质量可能会受新房对甲醛的释放时间以及室内新家具的存放时间影响;乙酰丙酮分光光度法具有简便、易控制、成本低等优点,可以广泛使用于普通室内甲醛浓度的测定。     

A Hydrolytically Stable Vanadium(IV) Metal–Organic Framework with Photocatalytic Bacteriostatic Activity for Autonomous Indoor Humidity Control

Metal–organic frameworks (MOFs) with long‐term stability and reversible high water uptake properties can be ideal candidates for water harvesting and indoor humidity control. Now, a mesoporous and highly stable MOF, BIT‐66 is presented that has indoor humidity control capability and a photocatalytic bacteriostatic effect. BIT‐66 (V₃(O)₃(H₂O)(BTB)₂), possesses prominent moisture tunability in the range of 45–60 % RH and a water uptake and working capacity of 71 and 55 wt %, respectively, showing good recyclability and excellent performance in water adsorption–desorption cycles. Importantly, this MOF demonstrates a unique photocatalytic bacteriostatic behavior under visible light, which can effectively ameliorate the bacteria and/or mold breeding problem in water adsorbing materials.     

室内惯性/视觉组合导航地面图像分割算法

导航技术是机器人实现自主移动的关键技术之一。针对惯性导航创建全局导航地图困难等问题,提出一种新的惯性/视觉组合导航室内全局地图创建方法。规定机器人只能在地面区域中移动,并利用室内俯视图像建立全局地图,提出一种俯视图像地面区域的自动分割算法。首先,利用主元分析算法对图像的局部颜色特征进行降维;其次,利用聚类算法对地面区域进行自动分割;最后,建立了室内俯视图像数据库并对算法的性能进行了验证。由于第四组图像中包含反光区域,算法的分割结果较差,平均正确分辨率为75%。算法在其他各组的平均正确分割率为85%左右。为提高算法的性能,可在应用本算法前利用反光区域检测算法对图像进行预处理。     

A highly sensitive and rapid biological probe enhanced real-time immuno-polymerase chain reaction for detecting 2,2′,4,4′-tetrabromodiphenyl ether in indoor airborne particles

Polybrominated diphenyl ethers (PBDEs) are bromine flame retardants that are widely distributed in the environment. In this study, 2,2′,4,4′-tetrabromodiphenyl ether (BDE-47) was used as a model PBDE compound. Based on the preparation of BDE-47 immunogen, coating antigen and polyclonal anti-BDE-47 antibody, a highly sensitive and rapid real-time immuno-polymerase chain reaction using biological probes (BP-IPCR) was developed to detect BDE-47 in indoor airborne particles. Several physiochemical factors that might influence the assay performance were optimised, such as OVA-BDE-47 and the biological probe concentration, primer concentration and annealing temperature. Under the optimal conditions, a standard curve was constructed with BDE-47 concentrations ranging from 5 pg L^?1 to 50 ng L^?1. The limit of detection was 1.32 pg L^?1. The BP-IPCR assay was highly selective, presenting low cross-reactivity values with BDE-47 analogues (below 5.26%). The recoveries of spiked samples were 92.6–107.9% and the coefficients of variation were 3.7–8.8%. The BP-IPCR data for the detection of BDE-47 in indoor airborne particles was consistent with gas chromatography-mass spectrometry findings (R² = 0.9849). This immunoassay is sensitive and reliable; it can be used for specific and sensitive batch detection of BDE-47 in environmental samples.     

基于激光雷达数据SVM分类的室内环境识别研究

语义地图构建对移动机器人导航与规划具有重要意义，而环境分类是语义地图构建的核心问题。目前所采用的环境分类方法匹配率较低，已成为语义地图构建所面临的主要问题。对此笔者提出了一种基于支持向量机的分类方法，该方法利用激光雷达数据提取环境几何特征，训练SVM分类器对机器人工作空间模式进行识别，并将所提算法用于室内环境的语义分类。实验结果表明，该分类方法具有较高的识别率，可有效地实现语义地图构建。     

MORPHOLOGY AND ELEMENTAL COMPOSITION OF DUSTFALL PARTICLES INSIDE EMPEROR QIN＇S TERRA-COTTA WARRIORS AND HORSES MUSEUM

Indoor dusffall samples were collected in Pit 1 and Pit 2 of Emperor Qin＇s Terra-cotta Warriors and Horses Museum in Xi＇an, Shaanxi Province, China. The morphological and elemental analysis for long-term （〉10 years） and short-term （～0.5 year） dusffall particles and lacquer pieces on the faces of partly assembled warriors were performed with scanning electron microscopy with energy dispersive X-ray spectrometer （SEM/EDX）. The results showed that the majority of dusffall samples appeared to be composed of mineral dust particles, fly ash, and biological particles with different elemental compositions. Most of the mineral particles had irregular shapes with smooth edges. Small floccules of calcium sulfate were more frequently observed in long-term dusffall samples than in short-term samples, implying a progressive chemical reaction between continuous dusffall particles and atmospheric sulfur dioxide. Crystals of calcium sulfate were also found near pits on both inner and outer surfaces of lacquer pieces, revealing an acid chemical reaction between sulfur dioxide and lacquer material as the cause of the formation of erosion pits and cracks on surface of lacquer pieces.     

基于Phong模式的分裂Monte Carlo模拟红外室内信道脉冲响应函数

介绍了基于Phong模式的Monte Carlo方法.该方法能够对红外室内通信的重要性能参数—— 信道脉冲响应函数进行快速有效的计算，可应用于包括漫反射、镜面反射以及粗糙度介于这 两种反射之间的表面反射情形的信道中.相对于经典的有限元法，在高次反射时具有更为明 显的优势，不但计算速度快，而且计算结果也更接近真实信道环境.该方法的使用，能够为 设计高性能红外系统提供更为可靠的参数. 关键词： 红外室内通信 脉冲响应函数 分裂Monte Carlo Phong 模式     

Analysis of volatile organic compounds in indoor environments using thermal desorption with comprehensive two‐dimensional gas chromatography and high‐resolution time‐of‐flight mass spectrometry

Building‐related health effects are frequently observed. Several factors have been listed as possible causes including temperature, humidity, light conditions, presence of particulate matter, and microorganisms or volatile organic compounds. To be able to link exposure to specific volatile organic compounds to building‐related health effects, powerful and comprehensive analytical methods are required. For this purpose, we developed an active air sampling method that utilizes dual‐bed tubes loaded with TENAX‐TA and Carboxen‐1000 adsorbents to sample two parallel air samples of 4 L each. For the comprehensive volatile organic compounds analysis, an automated thermal desorption comprehensive two‐dimensional gas chromatography high‐resolution time‐of‐flight mass spectrometry method was developed and used. It allowed targeted analysis of approximately 90 known volatile organic compounds with relative standard deviations below 25% for the vast majority of target volatile organic compounds. It also allowed semiquantification (no matching standards) of numerous nontarget air contaminants using the same data set. The nontarget analysis workflow included peak finding, background elimination, feature alignment, detection frequency filtering, and tentative identification. Application of the workflow to air samples from 68 indoor environments at a large hospital complex resulted in a comprehensive volatile organic compound characterization, including 178 single compounds and 13 hydrocarbon groups.     

Expanding the number of phthalates monitored in house dust

Phthalates have been used as plasticisers for several decades in various industry and consumer products. A method was developed for the determination of 13 not commonly monitored phthalates in household dust. The method was based on solvent extraction using sonication, sample clean-up by solid phase extraction (SPE), and analysis using isotope dilution gas chromatography-tandem mass spectrometry (GC/MS/MS). The method was applied to the analysis of dust samples collected using two vacuum sampling techniques from 38 urban Canadian homes: a sample of fresh or ‘active’ dust (FD) collected by technicians and a composite sample taken from the household vacuum cleaner (HD). Spearman rank correlations between HD and FD samples were significant for six phthalates with median concentrations above their method detection limits (MDLs), suggesting that the HD samples provide comparable results with FD samples. Seven phthalates were detected and quantified in a Canada-wide set of 126 household dust samples, among which six phthalates were detected at frequencies higher than 87%, with median (range) concentrations of 1.9 (<0.42–240) (μg/g) for diisohexyl phthalate (DIHxP), 3.8 (<0.16–260) (μg/g) for di-n-heptyl phthalate (DHepP), 6.6 (<1.1–1170) (μg/g) for diisooctyl phthalate (DIOP), 1.1 (<0.12–390) (μg/g) for di-n-octyl phthalate (DOP), 6.3 (<0.16–430) (μg/g) for dinonyl phthalate (DNP), and 1.8 (<0.18–850) (μg/g) for di-n-decyl phthalate (DDP). High detection frequencies and widely scattered concentration levels of these phthalates in this preliminary set of 126 samples suggested a high variability in potential exposure to phthalates in Canadian homes. NIST SRM 2585 (organic contaminants in house dust) was also analysed; eight phthalates were detected, with concentrations ranging from 6.0 μg/g for DOP to 79 μg/g for DIHxP. The results from SRM 2585 may contribute to the certification of phthalate concentration values in this SRM.