“黑青”“黑碧”的谱学鉴别特征探究

“黑青”指颜色近黑色,主要成分为透闪石的青玉。“黑碧”指颜色近黑色,主要成分为阳起石的碧玉。采用电子探针、激光剥蚀电感耦合等离子体质谱仪和红外光谱测试分析手段,确定“黑青”“黑碧”的矿物种属。采用拉曼光谱、显微紫外-可见分光光度计、红外光谱对“黑青”“黑碧”的谱学鉴别特征进行探究。“黑青”为标准透闪石拉曼谱峰,“黑碧”的谱峰位置与“黑青”存在几个波数的偏差,向波数小的方向移动。可见-近红外波段,“黑青”出现445 nm吸收峰,680和940 nm宽吸收带,为Fe2+和Fe3+作用;“黑碧”出现445 nm吸收峰,660和690 nm双吸收峰以及970 nm吸收峰,为Fe2+,Fe3+,Cr3+作用。显微紫外-可见光谱可分析到样品的近红外区,“黑青”在1 397,2 310,2 387和2 466 nm出现强吸收峰,1 915和2 120 nm出现弱吸收峰;“黑碧”在1 400,2 313和2 394 nm出现吸收峰。红外光谱分析“黑青”在5 225,4 738,4 692,5 349,4 317,4 190和4 064 cm-1存在吸收峰;“黑碧”在4 708,4 307,4 178和4 031 cm-1存在吸收峰。显微紫外-可见光谱与红外光谱分析结果虽然存在小的差异,但基本保持一致,以红外光谱分析结果为准。将透闪石质的“黑青”、阳起石质的“黑碧”、广西大化阳起石质玉进行对比,综合红外光谱和显微紫外-可见光谱分析结果得出“黑青”（透闪石）与“黑碧”（阳起石）近红外光谱的鉴别特征：“黑青”（透闪石）在4 800～4 600 cm-1存在两个吸收峰,4 350～4 300 cm-1存在分裂双吸收峰;“黑碧”（阳起石）在4 800～4 600 cm-1存在一个弱吸收峰,4 350～4 300 cm-1存在一个吸收单峰。且“黑碧”（阳起石）的近红外吸收峰相较于“黑青”（透闪石）整体向低波数方向移动。     

Linear Dynamical Identification: An Integral Transform seen as a Complex Wavelet Transform

This paper presents a technique that allows the direct linearidentification of frequency response functions from the computation ofa weighted integral transform. This transform allows toemphasize the influence of the poles and zeros of the frequencyresponse functions its formation is based on the Cauchy--Weierstrass theorem. It isthen shown that this transform is directly linked to a complex wavelettransform. This representation with a wavelet transform provides abetter understanding of the amplification effects of the weightedintegral transform and allows the singularities analysis.     

Rapid Purification and Identification of Osteopontin from Human Milk by HPLC Coupled to FT-ICR-MS

Milk as a key element for infant nutrition represents the only source of feeding for newborns and infants, breast-feeding milk normally contains several bioactive proteins or peptides useful for the development of the immune system that protects infants from diseases. Osteopontin(OPN) plays a distinct role during the processes of lactation. Some studies on OPN isolated and purified from the human milk via HPLC on SCX and C4 columns adopted biological mass spectrometry. After digesting the purified OPN sampl...     

去甲氯胺酮半抗原及其全抗原的合成与鉴定

在低温条件下,去甲氯胺酮与琥珀醛酸反应,合成了半抗原羧基-去甲氯胺酮,电喷雾质谱鉴定结果表明,目标半抗原合成成功;通过碳二亚胺法将半抗原与载体蛋白偶联制备人工抗原,红外光谱法鉴定结果表明,人工抗原合成成功,基质辅助激光解析电离飞行时间质谱鉴定表明去甲氯胺酮半抗原与牛血清白蛋白的偶联比为11:1。经动物免疫,获得高效价特异性多克隆抗体,抗血清效价可达5.12×104。     

Extraction methods of red blood cell membrane proteins for Multidimensional Protein Identification Technology (MudPIT) analysis

Since red blood cells (RBCs) lack nuclei and organelles, cell membrane is their main load-bearing component and, according to a dynamic interaction with the cytoskeleton compartment, plays a pivotal role in their functioning. Even if erythrocyte membranes are available in large quantities, the low abundance and the hydrophobic nature of cell membrane proteins complicate their purification and detection by conventional 2D gel-based proteomic approaches. So, in order to increase the efficiency of RBC membrane proteome identification, here we took advantage of a simple and reproducible membrane sub-fractionation method coupled to Multidimensional Protein Identification Technology (MudPIT). In addition, the adoption of a stringent RBC filtration strategy from the whole blood, permitted to remove exhaustively contaminants, such as platelets and white blood cells, and to identify a total of 275 proteins in the three RBC membrane fractions collected and analysed. Finally, by means of software for the elaboration of the great quantity of data obtained and programs for statistical analysis and protein classification, it was possible to determine the validity of the entire system workflow and to assign the proper sub-cellular localization and function for the greatest number of the identified proteins.     

概率神经网络及FAAS在植物药分类研究中的应用

用火焰原子吸收法（FAAS）测定了植物药中Fe、Mg、Mn、Cu、Zn和Ca元素的含量,采用主成分分析法对所测数据进行预处理,结合概率神经网络模型对中药功效类别进行识别预测研究,取得了较满意的结果。     

采用FTIR和电子能谱EDS指纹图谱直观比对鉴定右归丸济生肾气丸

结合FTIR和电子能谱EDS指纹图谱,鉴别了两种组成相近的中药复方右归丸和济生肾气丸.测定右归丸和济生肾气丸样品氯仿提取物的红外指纹图谱,依据W检验理论判别方法精细建立两种中药复方红外指纹图谱的特征吸收峰组,确定了各个特征吸收峰相对应的特征分子基团和药物成分组成.同时测量两种中药复方原药粉末样品的EDS指纹图谱.根据两...     

A model of hysteresis with two inputs

We formulate and analyze a new model of vector hysteresis for the case of two-input signals. We prove the essential mathematical properties of this model and we present the solutions to two identification problems connected with our model.     

Solution to the variation problem for information path functional of a controlled random process

The paper introduces a new approach to dynamic modeling, using the variation principle, applied to a functional on trajectories of a controlled random process, and its connection to the process' information functional. In [V.S. Lerner, Dynamic approximation of a random information functional, J. Math. Anal. Appl. 327 (1) (2007) 494-514, available online 5-24-06], we presented the information path functional with the Lagrangian, determined by the parameters of a controlled stochastic equation. In this paper, the solution to the path functional's variation problem provides both a dynamic model of a random process and the model's optimal control, which allows us to build a two-level information model with a random process at the microlevel and a dynamic process at the macrolevel. A wide class of random objects, modeled by the Markov diffusion process and a common structure of the process' information functional, leads to a universal information structure of the dynamic model, which is specified and identified on a particular object with the applied optimal control functions. The developed mathematical formalism, based on classical methods, is aimed toward the solution of problems identification, combined with an optimal control synthesis, which is practically implemented and also demonstrated in the paper's example.     

Development of adaptive modeling techniques for non-linear hysteretic systems

Adaptive estimation procedures have gained significant attention by the research community to perform real-time identification of non-linear hysteretic structural systems under arbitrary dynamic excitations. Such techniques promise to provide real-time, robust tracking of system response as well as the ability to track time variation within the system being modeled. An overview of some of the authors’ previous work in this area is presented, along with a discussion of some of the emerging issues being tackled with regard to this class of problems. The trade-offs between parametric-based modeling and non-parametric modeling of non-linear hysteretic dynamic system behavior are discussed. Particular attention is given to (1) the effects of over- and under-parameterization on parameter convergence and system output tracking performance, (2) identifiability in multi-degree-of-freedom structural systems, (3) trade-offs in setting user-defined parameters for adaptive laws, and (4) the effects of noise on measurement integration. Both simulation and experimental results indicating the performance of the parametric and non-parametric methods are presented and their implications are discussed in the context of adaptive structures and structural health monitoring.