Forest fragmentation in Loudoun County,Virginia, USA evaluated with multitemporal Landsat imagery

In order to study forest fragmentation in the Virginia, USA Piedmont, a series of Landsat images from 1973, 1987, and 1999 covering a rapidly developing area (Loudoun County) was used to classify forest from non-forest. The classified images were analyzed using a geographic information system (GIS) to determine the spatial and temporal patterns of fragmentation, and to relate these patterns to infrared radiance provided by Landsat Enhanced Thematic Mapper Plus (ETM+) band 6. The analysis was concentrated on eleven major watersheds of Loudoun County. The relationship between urbanized area per watershed and mean fragment size showed a strong negative decay form (r ²=0.757, p<0.0001). Analysis of four landscape metrics showed increasing fragmentation of forest cover, particularly from 1987 to 1999, as well as an increase in forest edge and shape complexity. Of the landscape metrics used, the perimeter-to-area (P/A) ratio showed the strongest relationship with mean radiance of forest patches. In addition, there was a negative, linear relationship between distance from major roads and band 6 radiance of forested pixels. Overall, the study shows that landscape metrics can convey meaningful information on biophysical changes associated with forest fragmentation at broad scales. These changes suggest that ambient temperature increases associated with urban sprawl may have important, long-term implications for ecophysiological processes.     

近红外反射光谱(NIRS)技术分析奶粉品质的研究

奶粉中蛋白质和脂肪是影响奶粉营养品质的主要因素,利用近红外反射光谱分析技术对来自国内不同地区的奶粉共900份样品进行蛋白质和脂肪成分测定分析。研究了不同的样品数日、光谱预处理和散射校正技术对发展奶粉近红外测定定标模型的影响。结果表明．在样品数目为200—400范围内建立的定标分析模型较理想;数学预处理中以一阶导数较好,且以“1,4,4,1”的处理组合最为理想;光谱散射校正中采用“标准正态变量转换(SNV) 趋势变换法(De—trending)”的组合建立回归方程效果较好。利用改进最小二乘法回归技术(Modified PLS)建立多种定标模型,并进行交叉验证(cross—Validation)来分析各种因素对定标模型的影响。同时筛选出较理想的蛋白质和脂肪定标分析回归方程,其中蛋白质和脂肪含量的相关系数高速0．973和0．850。探讨了NIRS技术在建模应用中的一些影响因素,以及由NIRS技术建立奶粉分析模型用于快速分析和在线检测的可行性。     

Research on Magnetic Activated Carbon by XPS

DIntroduction'Asonekindofimportantedbent,activatedcarbo11wasusedinlnoreandl11orefieIds.MagneticactivatedcarbonisbecoIninganinterestil1gsubjectfOrsoIvi11gseparationofactivatedcarbo11i11thisfieId.Mag11eticactivatedcarbol1wl1ichusemagneticreagentandacti-vatedcarbonasrawmateriaIl1asmal1yadva11tagesl'Isuchasgiantspecificsurface'weII-distributiOI1al1d firmly-combined1nagl1e1ism.ButtI1eadsorptivemechanismoftl1emagneticreage11tol1activatedcarbonisstiIIunknown.X-rayphotoelectronpectroscopy(X…     

激光光致发光光谱分析系统的设计及应用

在微区紫外-可见阴极荧光分析系统成功研制的基础上,采用532nm固体激光器作为激发源研制了一套计算机自动控制的微区光致发光分析系统。该系统不仅可探测可见波段的激光光致荧光,并且将荧光的研究波段扩展至红外区域。对来自于不同地区金刚石样品的900～1010nm波段红外光致发光光谱进行探测,结果发现不同样品在946nm、957nm左右2个宽峰处呈现不同光谱特征,能有效地对样品的生长条件和受外界影响等因素进行分析和研究。该分析系统能在更宽的波段上获取更多更新的样品内在信息,为样品的测试提供了一种有效方法。     

Relationship between sensory and NIR spectroscopy in consumer preference of table grape (cv Italia)

A combination of near infrared spectroscopy (NIR) instrumental measurements and sensory analysis was investigated to predict solids soluble content (SSC, assessed as Brix) and to classify preference in table grape cv Italia. SSC was monitored in each berry of whole bunches in order to evaluate intra-bunch distribution and variability. NIR spectra were recorded in the spectral region 12,000–4000 cm⁻¹ (833–2500 nm) using a set of 682 berries. The Partial Least Square (PLS) model based on cross-validation provided acceptable value for the main statistical parameters (coefficient of determination of cross-validation, r²: 0.85; standard error of cross-validation, SECV: 1.08; residual predictive deviation, RPD: 2.6) and was confirmed by external validation performed with 115 independent berries (coefficient of determination of prediction, r_p²: 0.82; standard error of prediction, SEP: 0.83). For consumer testing, the selected PLS model was used to predict the Brix value in 400 berries and Discriminant Analysis (DA) was then carried out to classify berries in terms of preference by relating NIR data to consumer judgment. The three defined preference clusters of berries were fully classified obtaining 100% membership. In cross-validation the value decreased especially for class 1 (78.5%) and 3 (75%) whereas class 2 obtained comparable values (98.7%). According to our results, NIR technology appears to be a promising technique for predicting SSC and obtaining information with regard to consumer preference in ‘Italia’ table grape for application of efficient and low cost on-line instruments in the fruit industry.     

头孢氨苄免疫层析表面增强拉曼光谱检测方法研究

【目的】 建立一种简便、快速、灵敏度高、特异性强的头孢氨苄免疫层析表面增强拉曼光谱(SERS)检测新方法。【方法】 制备金银复合核壳结构的纳米贵金属,用来标记头孢氨苄抗体和拉曼信号分子5,5’-二硫代双2-硝基苯甲酸 (DTNB),合成拉曼免疫探针,用透射电子显微镜和双光束紫外分光光度计对纳米金和修饰拉曼信号分子的金银复合核壳结构进行表征。将合成的拉曼免疫探针固定在微孔板上,待测样品中的头孢氨苄与包被在硝酸纤维素膜上的头孢氨苄抗原竞争结合拉曼免疫探针,通过免疫层析试纸条结合共聚焦拉曼光谱仪读取DTNB的信号值,建立头孢氨苄定量检测技术,并应用于实际牛奶样品的检测。【结果】 透射电子显微镜和双光束紫外分光光度计表征结果显示,纳米银成功包裹在金颗粒表面。用共聚焦拉曼光谱仪检测免疫层析试纸条上拉曼信号分子的特征峰,拉曼信号分子特征峰为1 062、1 154、1 334和1 558 cm^-1,其中1 334 cm^-1处特征峰信号最强,选取此处峰高定量测定头孢氨苄的含量。头孢氨苄免疫层析表面增强拉曼光谱检测的线性范围为0~1 ng/mL,检测限为0.001 ng/mL,头孢氨苄的半数抑制质量浓度为0.05 ng/mL。与头孢克洛交叉反应率为111.1%,与头孢曲松钠、头孢夫辛酯、头孢噻吩钠交叉反应率均低于0.1%。实际样品加标浓度为1、4和8 ng /mL,回收率分别为94.4%、103.3%和97.5%。【结论】 本研究建立的头孢氨苄免疫层析表面增强拉曼光谱检测方法操作简便、快速、灵敏,耗材成本低廉,可满足奶牛养殖农场和乳品加工企业进行大批量样品初筛检测需求。     

拉曼光谱结合支持向量机对猪胞质内单精子显微注射胚胎性别的鉴定分析

【目的】 探求一种无损的、非侵入性的、快速的胚胎性别鉴定方法。【方法】 以207个猪卵胞质内单精子显微注射(intracytoplasmic sperm injection,ICSI)胚胎及其培养液为研究对象,单个胚胎经巢式PCR扩增鉴定其性别后随机分成训练集和测试集,同时利用拉曼光谱技术获取单个ICSI胚胎培养液的拉曼光谱。原始光谱经过处理后,采用支持向量机(support vector machine,SVM)算法构建分类模型,先用训练样本进行训练和建模,然后预测测试样本的性别,结合PCR性别鉴定的结果,计算分类准确率。【结果】 通过巢式PCR对207个胚胎进行性别鉴定,鉴定出71个雄性胚胎、128个雌性胚胎,8个样品扩增失败。猪ICSI雄性胚胎培养液在1 082和1 360 cm^-1拉曼位移处特征峰强度明显高于雌性胚胎,构建的胚胎性别鉴定模型的分类准确率为81.5%,雌性和雄性胚胎的分类准确率分别为81.3%和81.8%。【结论】 本研究将拉曼光谱技术与SVM法相结合构建了胚胎性别鉴定模型,分类准确率达到81.5%,提供了一种新的、无损的胚胎性别鉴定方法。     

利用FTIR对苯基异氰酸酯与不同含水率纤维素反应的研究

通过FTIR红外光谱对苯基异氰酸酯与醇、水、不同含水率纤维素反应产物的研究 ,确定了产物的红外光谱吸收峰的归属。研究发现 :异氰酸酯与绝干纤维素羟基反应产物是氨基甲酸酯 ,随着纤维素含水率的增加 ,异氰酸酯与纤维素的反应越来越低 ,与水反应的比例越来越高 ;当纤维素含水率为 9 78%时 ,异氰酸酯绝大部分与水反应生成取代脲     

稻草原料表面特性FTIR和XPS分析

运用红外光谱(IR)和X射线光电子能谱分析(XPS)法，考察了热磨处理对稻草表面特性的影响。结果表明：稻草秸秆内表面的活性基团数量和氧碳元素百分比都明显高于外表面；经热磨处理，稻草纤维表面的羟基、甲基、亚甲基等官能团含量显著增加，氧碳元素百分比相对秸秆表面有大幅度提高，证明热磨处理能增强稻草表面活性，为脲醛树脂稻草中纤板制造的技术可行性提供了依据。     

一种快速测定棕榈藤材材质特性的近红外光谱分析法

分析了棕榈藤生物质材料特点与近红外光谱关系；阐述了近红外光谱分析技术可以快速准确地预测棕榈藤材的材质特性，并详细介绍了其中包括藤材的选择及加工、藤材近红外光谱采集、藤材材性真值测量、多变量数据分析与模型建立的实验方法与操作步骤。