利用同步荧光光谱快速鉴别潲水油

为快速鉴别潲水油,采用三维同步荧光光谱结合平行因子法解析潲水油的特征波长差(Δλ),并利用支持向量机建立潲水油鉴别模型。结果表明,潲水油的特征Δλ为60 nm;特征Δλ下的样品原始同步荧光光谱经过主成分分析提取5个主成分,以径向基函数(RBF)为核函数,利用网格搜索和6-fold交叉验证优化建模参数,得到惩罚因子C=512、核参数g=0.5,该条件下建立的模型对训练集和预测集的判别率均达到100%。采用同步荧光光谱可以快速、准确地鉴别潲水油。     

Frequency Domain Fluorescence Lifetime Study of Crude Petroleum Oils

Frequency domain (FD) fluorescence lifetime data was collected for a series of 20 crude petroleum oils using a 405 nm excitation source and over a spectral range of ~426 to ~650 nm. Average fluorescence lifetimes were calculated using three different models: discrete multi-exponential, Gaussian distribution, and Lorentzian distribution. Fitting the data to extract accurate average lifetimes using the various models proved easier and less time consuming for the FD data than with Time Correlated Single Photon Counting (TCSPC) methods however the analysis of confidence intervals to the computed average lifetimes proved cumbersome for both methods. The uncertainty in the average lifetime was generally larger for the discrete lifetime multi-exponential model when compared to the distribution-based models. For the lifetime distributions, the data from the light crude oils with long lifetimes generally fit to a single decay term. Heavier oils with shorter lifetimes required multiple decay terms. The actual value for the average lifetime is more dependant on the specific fitting model employed than the data acquisition method used. Correlations between average fluorescence lifetimes and physical and chemical parameters of the crude oils were made with a view to developing a quantitative model for predicting the gross chemical composition of crude oils. It was found that there was no significant benefit gained by using FD over TCSPC other than more rapid data analysis in the FD case. For the FD data the Gaussian distribution model for fluorescence lifetime gave the best correlations with chemical composition allowing a qualitative correlation to some bulk oil parameters.

聚酯废弃物改性植物油沥青粘结剂的红外研究

采用蒸馏厂的下脚料——各种植物油沥青(棉油沥青、豆油沥青、混合油沥青)为主要原料,用聚酯废弃物为改性剂,经裂解、酯化等工艺制备成三种铸造用植物油沥青粘结剂(MB)。同时采用红外光谱和热重分析等手段对该三种粘结剂的基团结构,性能与固化机理进行探索,并与合脂粘结剂比较。 结果表明：改性粘结剂的主要成分与合脂粘结剂大致相同,且具有更高的干拉强度、更慢的发气速度等优异性能,达到甚至超过合脂粘结剂的性能,可用于Ⅰ级型芯砂的粘结,而且成本低廉。     

静态小波变换荧光检测水中矿物油信号的去噪方法

荧光分析法具有灵敏度高、选择性好、易于设计等优点,是检测水中油类污染物的重要手段。光电探测器产生的噪声会影响荧光检测系统的灵敏度,荧光信号的噪声消除一直是研究的热点问题。由于荧光信号增加了支集长度,dbN族小波能够解决信号的边界问题,通过比较dbN族不同小波基的去噪效果,选择db7为最优小波基,对含噪荧光信号作5层静态小波分解。根据小波熵理论自适应地选择阈值,高频系数经过阈值量化并重构得到纯净的荧光信号。与离散小波变换相比,静态小波变换去噪后信号具有信息完整性和时移不变性。     

原油样品激光诱导荧光的时间分辨光谱特性研究

为探索激光诱导时间分辨荧光光谱技术应用于海洋悬浮溢油原位探测的可行性,对来自胜利油田六个不同井区不同密度的原油样品的时间分辨荧光光谱进行了探测分析。结果发现,各原油样品荧光发射的持续时间基本相同,从ICCD中数字延时发生器(DDG)的输入延时52 ns开始,到输入延时82 ns左右结束,各原油样品的荧光峰强度随时间变化曲线的半高宽约10 ns;不同原油样品的最强荧光峰位及其衰减寿命不尽相同,并且与样品密度有一定相关性,密度相近的原油具有相近的最强荧光峰位和相似的荧光寿命。对比六种原油样品的时间分辨荧光光谱发现,在荧光增强时,原油荧光光谱峰位不变,当荧光从最大强度开始衰减时,六种原油样品的荧光光谱峰位均出现了不同程度(17~30 nm)的红移现象,这一定程度上反映出原油中各荧光组分的荧光衰减速率存在差异,或者存在荧光组分之间的能量传递。所观测到的原油密度相关的时间分辨光谱信息和荧光峰红移现象可望成为水下悬浮溢油识别的有效特征之一。     

Main Components of Xinjiang Lavender Essential Oil Determined by Partial Least Squares and Near Infrared SpectroscopySCIEI北大核心CSCD

This work was undertaken to establish a quantitative analysis model which can rapid determinate the content of linalool, linalyl acetate of Xinjiang lavender essential oil. Totally 165 lavender essential oil samples were measured by using near infrared absorption spectrum(NIR), after analyzing the near infrared spectral absorption peaks of all samples, lavender essential oil have abundant chemical information and the interference of random noise may be relatively low on the spectral intervals of 7100-4 500 cm(-1). Thus, the PLS models was constructed by using this interval for further analysis. 8 abnormal samples were eliminated. Through the clustering method, 157 lavender essential oil samples were divided into 105 calibration set samples and 52 validation set samples. Gas chromatography mass spectrometry (GC-MS) was used as a tool to determine the content of linalool and linalyl acetate in lavender essential oil. Then the matrix was established with the GC-MS raw data of two compounds in combination with the original NIR data. In order to optimize the model, different pretreatment methods were used to preprocess the raw NIR spectral to contrast the spectral filtering effect, after analysizing the quantitative model results of linalool and linalyl acetate, the root mean square error prediction(RMSEP) of orthogonal signal transformation (OSC) was 0.226, 0.558, spectrally, it was the optimum pretreatment method. In addition, forward interval partial least squares (FiPLS) method was used to exclude the wavelength points which has nothing to do with determination composition or present nonlinear correlation, finally 8 spectral intervals totally 160 wavelength points were obtained as the dataset. Combining the data sets which have optimized by OSC-FiPLS with partial least squares(PLS) to establish a rapid quantitative analysis model for determining the content of linalool and linalyl acetate in Xinjiang lavender essential oil, numbers of hidden variables of two components were 8 in the model. The performance of the model was evaluated according to root mean square error of cross-validation (RMSECV) 9 root mean square error of prediction (RMSEP). In the model, RESECV of linalool and linalyl acetate were 0.170 and 0.416, respectively; RMSEP were 0.188 and 0.364. The results indicated that raw data was pretreated by OSC and FiPLS, the NIR-PLS quantitative analysis model with good robustness, high measurement precision; it could quickly determine the content of linalool and linalyl acetate in lavender essential oil. In addition, the model has a favorable prediction ability. The study also provide a new effective method which could rapid quantitative analysis the major components of Xinjiang lavender essential oil.     

炼油废水再生工艺技术

采用“悬浮载体生物深度处理、臭氧部分氧化及生物活性炭处理”等工序开发了一种新的炼油废水再生工艺技术，深度处理炼油废水。COD、BOD、NH3-N、油、硫化物、SS、细菌等主要污染物被有效去除，总出水清澈，无色无味，可满足工业用新鲜水、生活与办公、绿化等的水质要求，且处理费用低，运行稳定可靠。     

核磁共振岩屑含油饱和度分析技术的实验研究

含油饱和度是油田勘探开发中的重要油层物理参数之一,目前油田现场岩屑常规录井方法只能定性给出岩屑的含油级别,无法给出岩屑含油饱和度的定量结果. 提出了利用核磁共振技术进行现场岩屑含油饱和度快速定量分析. 在室内实验基础上,采用添加弛豫试剂的方法进行了岩屑含油饱和度的核磁共振定量分析,研究摸索了一套利用核磁共振技术进行现场岩屑含油饱和度分析的方法,给出了弛豫试剂的优选方案,同时给出了核磁共振岩屑含油饱和度的测量精度.     

润滑油对基于制冷循环的喷雾冷却系统性能的影响

针对高功率固体激光器的散热需求,设计了一种基于制冷循环的喷雾冷却系统,并对其换热性能进行研究。由于制冷系统的压缩机需要润滑,冷却液中不可避免地会混有润滑油。润滑油会对冷却液的粘度、表面张力产生影响,并可能产生油膜,从而对冷却液的换热过程产生强化或抑制。因此,通过实验研究,分析了润滑油对喷雾冷却换热性能的影响。实验结果表明,冷却液中存在润滑油,会增大冷却液流经喷嘴过程中的阻力,减小流量,但根据本系统的应用情况,可以忽略;在低热流密度时,含有一定量的润滑油更有利于热源表面温度的均匀分布,高热流密度时,2%(质量分数)的含油量对温度分布不均的影响可以忽略;润滑油的存在可以提高临界热流密度,使得系统的散热能力得到提高,更有利于其在高功率固体激光器散热领域的应用。     

荧光光谱结合支持向量机测定食用色素纯度

采用一种由原点矩法改造所得的特征压缩算法对荧光光谱数据进行预处理,将处理后的数据与加权最小二乘支持向量机(WLS-SVM)算法结合,建立鲁棒回归模型,用以预测实际食用色素粉末的纯度。以亮蓝和胭脂红这2种色素为例论述该方法对实际食用色素粉末纯度的预测效果。首先,利用FLS920荧光光谱仪测量获得两种色素的标准样本和实际样本在最佳激发波长下的荧光发射光谱数据,利用由原点矩法改造所得的特征压缩算法对获取的荧光光谱数据进行压缩和变换,一方面缩短了算法的运算时间,另一方面也提高了模型的预测精度。将预处理后的荧光光谱数据输入加权最小二乘支持向量机中建立浓度预测模型,该模型对亮蓝、胭脂红实际样本溶液给出的预测光谱与它们的实测光谱吻合程度好,半高峰宽区间内的平均决定系数分别为0.662和0.931。所有亮蓝、胭脂红溶液的预测浓度和标称浓度之间具有良好的线性关系,相关系数分别为0.997和0.992。由此通过多项式拟合得到的亮蓝、胭脂红粉末的预测纯度分别为61.0%和72.3%。