不同种皮颜色花生糖含量近红外模型的构建

花生籽仁中的糖含量是影响食味品质的重要指标,建立快速测定糖含量的方法可有效提高食用型花生的检测效率。样品外观颜色是影响近红外分析的重要因素之一,按样品外观颜色分类定标(校正)更有利于提高模型的预测性能。研究选择不同糖含量的花生种质332个,采用色差仪将花生种质按种皮颜色分成黑紫色、红色和粉色三大类。采用3,5-二硝基水杨酸法、蒽酮乙酸乙酯法、蔗糖酶法分别测定籽粒中的总糖、可溶性糖及蔗糖含量。总糖含量分别在6.42%～39.53%(黑紫色籽粒)、 9.66%～39.71%(红色籽粒)和8.52%～38.84%(粉色籽粒)之间;可溶性糖含量分别在2.4%～14.32%(黑紫色籽粒)、 2.94%～13.75%(红色籽粒)和2.19%～14.53%(粉色籽粒)之间;蔗糖含量分别在0.92%～7.53%(黑紫色籽粒)、 1.05%～7.23%(红色籽粒)和0.95%～7.99%(粉色籽粒)之间,变异系数均在33%以上。采用瑞典波通DA7250型近红外分析仪(950～1 650 nm)采集籽粒的近红外光谱值,选用基于全波段的偏最小二乘回归法(PLSR),通过对比单一和复合预处理方法,对比模型的相...     

超光速群速度与信息传输的有效速度

研究了反常色散介质中脉冲形变对超光速群速度的影响,发现即使光脉冲完全不产生形变群速度仍会超过真空中的光速。但波包的群速度并不等同于信号的传输速度,采用信息论方法,定义了信号的有效传输速度,并用于解释WKD(Wang,Kuzmich,Dogariu)实验。通过计算入射光与出射光信号所携带的信息量,发现由于光的波动衍射及光子散粒噪声的影响,出射光所携带的信息量会损失,使得光信号的有效传播速度不会超过真空中的光速。     

可控硅外特性的研究

开发和推广可控硅特性研究的物理实验,意在启发学生对物理实验的趣味性和思考方法,让学生在实验课中根据观察到的现象和实验数据在实验课后进行分析,最后判断并得出结论.     

新鲜苹果汁可溶性固形物含量的傅里叶变换近红外光谱检测

用傅里叶变换近红外(FTNIR)光谱透射方式对新鲜苹果汁溶性固形物含量(SSC)进行了快速定量分析。实验共测定了60个果汁样品的SSC,并采集了样品的近红外光谱数据。42个样品用来建模,剩下的18个用来验证模型的性能。对实验室测得的SSC与FTNIR光谱数据进行相关性分析,以TQ 6.2.1定量分析软件中集成的主成分回归法(PCR)和偏最小二乘回归法(PLS)建立了检测模型。该研究对比了不同光谱范围内建立的检测模型的性能。根据预测平方根误差(RMSEP)和相关系数(r2)进行不同模型的预测性能,最好的新鲜苹果汁SSC预测模型的RMSEP＝0.603 0Brix,r2＝0.997。结果表明FT-NIR可以作为一种可靠、准确、快速的无损检测方法来评价新鲜果汁的可溶性固形物含量。     

近红外光谱法测定紫花苜蓿青贮鲜样的营养价值

应用近红外光谱技术(NIRS)直接分析新鲜饲草的营养价值,如饲草中干物质(DM),粗蛋白(CP),中性洗涤纤维(NDF),酸性洗涤纤维(ADF)含量,对畜牧业生产具有重要意义。鲜草中由于含有较多的水分,不易制备均一的样品和进行光谱中有用信息的提取,因此难于进行近红外光谱分析。本试验应用偏最小二乘回归法(PLS)、傅里叶变换近红外光谱技术和液氮冷冻制样技术,建立了适合于不同品种,不同生育期,不同茬次和不同青贮方法即时测定青贮苜蓿鲜样中DM,CP,NDF,ADF的模型,以期对NIRS在测定紫花苜蓿青贮鲜样品这些成分测定的可行性进行分析。所建DM,CP,NDF和ADF模型的交叉检验决定系数(R2_cv)为0.884 6～0.989 8,交叉检验标准误(RMSECV)为3.9～9.7 g·kg-1鲜重。用50个样品对模型进行外部检验,预测相关系数(r)为0.939 7～0.994 9,预测标准误为1.9～8.3 g·kg-1鲜重。结果表明： 采用适当的样品处理方法和光谱分析技术可以实现近红外光谱技术对苜蓿青贮鲜样的营养价值评定。     

Photon interaction studies using 241Am γ-rays

We have carried out some photon interaction measurements using 59.54 keV γ-rays from a ²⁴¹Am source. These include γ attenuation studies as well as photoelectric absorption studies in various samples. The attenuation studies have been made using leaf and wood samples, samples like sand, sugar etc., which contain particles of varying sizes as well as pellets and aqueous solutions of rare earth compounds. In the case of the leaf and wood samples, we have used the γ-ray attenuation technique for the determination of the water content in fresh and dried samples. The variation of the attenuation coefficient with particle size has been investigated for sand and sugar samples. The attenuation studies as well as the photoelectric studies in the case of rare earth elements have been carried out on samples containing such elements whose K-absorption edge energies lie below and close to the γ-energy used. Suitable compounds of the rare earth elements have been chosen as mixture absorbers in these investigations. A narrow beam good geometry set-up was used for the attenuation measurements. A well-shielded scattering geometry was used for the photoelectric measurements. The mixture rule was invoked to extract the values of the mass attenuation coefficients for the elements from those of the corresponding compounds. The results are consistent with theoretical values derived from the XCOM package.     

利用磁共振技术检测钻井液含油量的方法探讨

含油气的岩层被钻开以后,其中的油气一部分保留在岩样中,另一部分则进入钻井液,岩样中的油、气及钻井液中的气都有相应的录井方法来检测,唯独钻井液中的油一直是录井检测的空白. 随着油气勘探程度的加深及钻井工艺技术的发展,岩屑含油级别低甚至无显示、气测异常幅度低甚至无异常的油井是越来越多,导致油气层的发现与评价变得十分困难. 因此,急需对钻井液中的含油量进行随钻检测. 通过对不同油质、 不同含油量的钻井液进行磁共振试验,结果表明,可以通过核磁共振一维谱(T₂谱)实现轻～中质油的含油量分析,通过二维谱(T₂-D谱)以实现对重质油的含油量分析. 该项研究对于完善录井技术系列、提高油层发现率和评价准确率具有十分重要的意义.     

大白桃糖度的近红外漫反射光谱无损检测试验研究

该研究应用近红外(near infrared, NIR)漫反射光谱定量分析技术开展了金华大白桃的糖度检测试验研究。用偏最小二乘回归(partial least square regression, PLSR)方法在800～2 500 nm光谱范围建模,通过比较果汁和不同部位果肉所对应的相关模型的预测结果发现：用水果3个部位(顶部、中部、底部)共9个检测点的果肉平均光谱和糖度平均值建立的模型的结果比果汁或单独某个部位果肉(3个检测点)所建立的模型的结果要好。在此基础上,分析了光谱微分和散射校正预处理对建模结果的影响,结果显示微分光谱建立的模型不如原始光谱建立的模型的结果好,光谱的散射校正处理(用多元散射校正MSC和标准正态变量变换SNV两种方法)有助于提高模型的预测性能。最终建立桃子果肉平均光谱经MSC和SNV散射校正后与糖度的相关模型,MSC和SNV对建模结果的影响基本一致,MSC-PLSR和SNV-PLSR模型的相关系数Rcal和交互验证相关系数Rcross-v分别为0.997和0.939。该研究表明近红外光谱检测技术可用于金华大白桃糖度的定量分析。     

Removal of graffiti from the mortar by using Q-switched Nd:YAG laser

This paper presents part of the larger study on microstructural features of mortars and it's effects on laser cleaning process. It focuses on the influence of surface roughness, porosity and moisture content of mortars on the removal of graffiti by Nd:YAG laser. The properties of this laser are as follows: wavelength (λ) 1.06 μm, energy: 500 mJ per pulse, pulse duration: 10 ns. The investigation shows that the variation of laser fluence with the number of pulses required for the laser cleaning can be divided into two zones, namely effective zone and ineffective zone. There is a linear relationship observed between number of pulses required for laser cleaning and the laser fluence in the effective zone, while the number of pulses required for the laser cleaning is almost constant even though the laser fluence increases in the ineffective zone. Moreover, surface roughness, porosity and moisture content of mortar samples have influence on the laser cleaning process. The effect of these parameters become however negligible at the high level of laser fluence. The number of pulses required for the laser cleaning is low for smooth surface or less porous mortar. Furthermore, the wetness of the samples facilitates the cleaning process.