无机硅酸盐涂料的研制及应用

以硅酸盐溶液为主要原料,利用少量自制的含偶联功能基团的有机硅聚合物乳液与硅酸盐进行杂化反应,同时与填料等有效的结合制备了无机硅酸盐涂料,并对涂料的性能进行研究。结果表明：制备的无机硅酸盐涂层具有优异的贮存稳定性、柔韧性、防水性、耐污性、阻燃性以及耐霉菌性等,满足建筑内外墙涂料的相关标准要求。     

基于叶绿素荧光光谱分析的黄瓜霜霉病害预测模型

为了实现对黄瓜病害的快速无损准确预测,基于激光诱导叶绿素荧光光谱分析技术,建立了温室黄瓜霜霉病害的预测模型.通过测定健康叶片、病菌接种3d叶片和接种6d叶片的光谱曲线,采用一阶导数光谱预处理方法,结合主成分分析数据降维方法对三组光谱数据进行特征信息提取后,建立主成分得分散点图,依据累积贡献率选取10个主成分代替导数光谱...     

Emission of volatile sesquiterpenes and monoterpenes in grapevine genotypes following Plasmopara viticola inoculation in vitro

The grapevine (Vitis vinifera) is one of the most widely cultivated fruit crops globally, and one of its most important diseases in terms of economic losses is downy mildew, caused by Plasmopara viticola. Several wild Vitis species have been found to be resistant to this pathogen and have been used in breeding programs to introduce resistance traits to susceptible cultivars. Plant defense is based on different mechanisms, and volatile organic compounds (VOCs) play a major role in the response to insects and pathogens. Although grapevine resistance mechanisms and the production of secondary metabolites have been widely characterized in resistant genotypes, the emission of VOCs has not yet been investigated following P. viticola inoculation. A Proton Transfer Reaction‐Time of Flight‐Mass Spectrometer (PTR‐ToF‐MS) was used to analyze the VOCs emitted by in vitro‐grown plants of grapevine genotypes with different levels of resistance. Downy mildew inoculation significantly increased the emission of monoterpenes and sesquiterpenes by the resistant SO4 and Kober 5BB genotypes, but not by the susceptible V. vinifera Pinot noir. Volatile terpenes were implicated in plant defense responses against pathogens, suggesting that they could play a major role in the resistance against downy mildew by direct toxicity or by inducing grapevine resistance. The grapevine genotypes differed in terms of the VOC emission pattern of both inoculated and uninoculated plants, indicating that PTR‐ToF‐MS could be used to screen hybrids with different levels of downy mildew resistance. Copyright © 2015 John Wiley & Sons, Ltd.     

Mapping of powdery mildew using multi-spectral HJ-CCD image in Beijing suburban area

Powdery mildew is one of the most serious diseases, which has a significant impact on the production of winter wheat. As an effective alternative to traditional sampling methods, remote sensing can be a useful tool in disease detection. This study examines the potential of a moderate resolution multispectral satellite image in disease monitoring at regional scale. At the suburban area around Beijing, a large size ground survey sample (n = 90) and the corresponding HJ-CCD image were acquired at the grain filling stage of winter wheat. A number of spectral features were found to be sensitive to powdery mildew through an independent t-test. Based on these spectral features, classification models were established using both spectral information divergence (SID) and spectral angle mapper (SAM), respectively. The results showed that the overall accuracies of disease identification and severity estimation were moderate. The estimation of normal and seriously infected samples yielded higher accuracies than slightly infected samples. The single phase HJ-CCD can only be used for locating the infected areas of powdery mildew, whereas is unable to discriminate the severity levels of disease. The presence of several stressors and disturbances other than disease is a possible reason of the unsatisfactory performance of disease monitoring models. Therefore, the integration of multi-phase onboard data and some relevant ancillary data is necessary to improve the accuracy and reliability of disease monitoring at regional scale.     

High-performance organic electrolyte supercapacitors based on intrinsically powdery carbon aerogels

Powdery carbon aerogel with an ideal hierarchical pore structure shows impressive capacitive performances when utilized as electrodes for organic electrolyte supercapacitors.     

基于高光谱成像的小麦白粉病与条锈病识别

小麦白粉病和条锈病是我国两种最普遍、最具破坏性的小麦病害,且田间常常混合发生。由于病源和发病机理不同,有必要对这两种病害进行准确区分和识别,以采取不同的防治措施。基于ImSpector V10E高光谱成像系统采集的条锈菌侵染叶片、白粉菌侵染叶片和健康叶片(共计320个)在375～1 017 nm范围内的高光谱图像,利用高斯平滑等预处理方法得到三种小麦叶片的平均光谱曲线,发现小麦白粉病和条锈病的敏感波段均集中在550～680 nm的色素强吸收位置,且趋势基本一致。针对两种病害的响应波段交叉重叠的问题,通过主成分分析-载荷法(PCA)、连续投影算法(SPA)和竞争性自适应重加权算法(CARS)对小麦叶片的光谱信息进行有效降维,分别优选出3、6、30个敏感波段和特征波长;在此基础上,采用最小二乘-支持向量机和极限学习机两种分类算法分别基于全波段、PCA、SPA和CARS的优选波段,建立白粉病、条锈病和健康叶片的判别模型。结果表明,8种模型的准确识别率均在94.58%以上。其中,主成分分析-载荷法结合极限学习机模型最优,训练集与校正集的正确识别率分别为99.18%和100%,且结构简单,仅含有三个变量(占全波段的1.1%)。最后,通过对小麦白粉病、条锈病以及健康叶片的显微结构分析,发现病菌入侵叶片,破环细胞结构,导致叶绿素含量减少,光合作用效能降低,进而使得小麦在可见光波段光吸收程度减弱,反射率增大。可见,利用作物的高光谱图像信息能够准确地识别不同类型的小麦病害,为研发作物病害在线识别的多光谱系统提供重要的理论依据。     

可见光光谱和机器学习的温室黄瓜霜霉病严重度定量估算

温室黄瓜霜霉病严重度的准确估算是科学防治霜霉病的前提条件,对于减少农药使用量、提升温室黄瓜品质和农民经济效益具有重要意义。机器学习在植物病害诊断领域的应用越来越广泛,已经取得了丰富的研究成果,病害严重程度的估算萌发了新的思路。利用霜霉病可见光图像并结合机器学习方法,开展温室黄瓜霜霉病严重度快速准确定量估算研究。利用数码相机采集温室黄瓜霜霉病叶片图像并进行预处理,剔除病害图像的背景。以黄瓜霜霉病叶片图像为输入,构建基于卷积神经网络(CNN)的估算模型。利用可见光光谱颜色特征(CVCF)结合支持向量机进行温室黄瓜霜霉病病斑图像分割,采用SURF(speeded up robust features)特征及形态学操作对分割结果进行优化。在获取黄瓜霜霉病病斑分割图像后,提取病斑图像RGB, HSV, L~*a~*b~*, YCbCr和HSI共5个颜色空间15个颜色分量的平均值和标准差2个颜色特征,以及在此基础上结合灰度共生矩阵提取各颜色分量的对比度、相关性、熵和平稳度4个纹理特征,共计90个特征;利用Pearson相关性分析进行特征优选,采用与温室黄瓜霜霉病严重程度实际值相关性高的图像特征构建浅层机器学习估算模型,包括支持基于向量机回归(SVR)的估算模型和基于BP神经网络(BPNN)的估算模型。基于以上3种估算模型开展黄瓜霜霉病严重度定量估算,采用决定系数(R^2)和归一化均方根误差(NRMSE)对估算模型准确率进行定量评价。结果表明,模型估算的温室黄瓜霜霉病严重度与实际值之间具有良好的线性关系,其中,基于CNN的估算模型准确率最高,模型的R^2为0.919 0, NRMSE为23.33%,其次是基于BPNN的估算模型,其R^2为0.890 8, NRMSE为24.64%,基于SVR的估算模型的准确率最低,其R^2为0.8901, NRMSE为31.08%。研究结果表明,利用黄瓜霜霉病可见光图像数据,结合卷积神经网络估算模型,实现了温室黄瓜霜霉病严重度的准确估算,能够为温室黄瓜霜霉病的科学防治提供参考,提高病害防治效率,减少农药使用。     

Formation processes of CuCl and regenerated Cu crystals on bronze surfaces in neutral and acidic media

The paper is devoted to investigating the formation of CuCl and regenerated Cu crystals on bronze. Electrochemical behaviour of bronze in simulated anoxic edaphic media and occluded cell (O.C.) solutions was studied with cycle voltammetry (CV) and X-ray diffraction (XRD). Within potential range of −800 to +800 mV, oxidation occurred was largely a process in which Cu is oxidized to CuCl and the reduction process was a reverse of it. An atomic force microscopy (AFM) was used to observe the morphology of CuCl crystals, regenerated Cu crystals and corrosion interface at nm level. The deposition of regenerated Cu on simulated archaeological bronzes was simulated under experimental conditions for the first time. CuCl could be thoroughly reduced to pure Cu if reduction time interval were sufficiently prolonged. This provided a theoretical and experimental basis for getting rid of harmful CuCl patina from archaeological bronzes with electrochemical means.     

超临界二氧化碳中无水相涂料的合成与表征

为了减小传统纸张涂布中涂料水分对涂布能耗、涂布质量以及对涂布原纸质量的影响,研究了以超临界二氧化碳为反应介质,制备聚甲基丙烯酸甲酯(PMMA)和碳酸钙颜料混合的粉末涂料粒子.通过FTIR、GPC-十八角度激光光散射联用技术对PMMA组成结构进行了表征,考察了反应体系中引发剂浓度、单体浓度、稳定剂浓度、反应温度和反应时间对聚合反应的转化率和聚合产物的分子量的影响.实验表明,当反应条件为反应压力10MPa,反应温度75℃,反应时间8h,单体浓度0.10g/mL,引发剂浓度0.10×10-2g/mL,稳定剂浓度0.06×10-2g/mL时,其聚合反应的转化率较高,同时PMMA的分子量适中,分子量分布窄.SEM观察到混合涂料粒子颗粒均匀,表明颜料在粉末涂料体系中分散性良好.     

Use of a magnetic fluid for particle size analysis by a sedimentation method

A new method of particle size analysis of micrometer-sized particles is discussed. The improved method of sedimentation analysis with magnetic fluids has the potential and versatility to characterize polydisperse systems.