人体鼻咽组织的时间分辨自体荧光光谱研究

实验研究了在397 nm半导体脉冲激光激发下,人体离体鼻咽正常和癌变组织在600 nm荧光发射波长处的时间分辨自体荧光光谱特性。利用双指数衰减方程对时间分辨自体荧光光谱进行拟合后,获得相应的荧光强度随时间的指数衰减方程以及荧光平均寿命。人体鼻咽癌变和正常组织在600 nm处的自体荧光平均寿命分别为(2.94±0.51)ns和(4.29±0.71)ns,两者之间存在显著的差异。应用时间分辨光谱技术的诊断灵敏度和特异性分别为75%和100%。初步表明了时间分辨自体荧光光谱在早期鼻咽癌诊断的应用价值,该方法可望与传统的稳态荧光光谱结合起来,进一步提高早期鼻咽癌荧光诊断的准确率。     

IgG-Eu-IDPA对抗原IOV的时间分辨荧光免疫检测

镧系螯合物已经被广泛应用于高灵敏度的时间分辨荧光免疫分析.但是,使用紫外光激发镧系螯合物会对生物分子和细胞产生很大的损害.合成了能够被可见光(最大波长565nm)激发的IgG-Eu-IDPA,并测量了IgG-Eu-IDPA的光谱属性,如荧光寿命、在不同pH值和不同浓度环境下的荧光强度.在自制的时间分辨荧光仪上使用IgG-Eu-IDPA作为荧光探针,检测IOV抗原.数据显示,它的灵敏度远远高于传统的荧光仪.结果表明,IgG-Eu-IDPA能够在高灵敏度的原位和活体分析中作为一种新的、有潜力的荧光探针.     

磷脂模型膜的时间分辨纳秒荧光光谱的研究

叙述了用时间分辨率纳秒荧光技术研究大豆磷脂或合成磷脂模型膜（脂质体）的物理状态变化与荧光寿命以及时间分辨各向异性测量参数变化相关性的实验结果。用荧光探剂ＭＣ５４０标记模型膜的结果表明,荧光寿命（τ）的变化与脂质／探剂比例、磷脂组成、磷脂的极性头部、脂肪酸酰链长度等有关。用ＤＰＨ（１,６－ｄｉｐｈｅｎｙｌ－１,３,５－ｈｅｘａｔｒｉｅｎｅ）标记磷脂模型膜的时间分辨各向异性分析结果表明,序参数（Ｓ）、     

时间分辨荧光免疫分析技术研究现状及进展

时间分辨荧光免疫分析是一种新型的超微量的免疫标记分析方法,集酶标记免疫分析和放射免疫分析等优点于一身,且无放射性污染等.本文主要介绍了时间分辨荧光免疫分析的原理、优点,螯合剂的种类,以及各种分析技术及其应用现状和进展.     

PSⅡ核心复合物能量传递的飞秒时间分辨荧光光谱学研究

运用稳态、瞬态荧光光谱技术对光系统Ⅱ核心复合物的能量传递动力学进行研究.分别用436 nm光脉冲激发叶绿素a分子、45l nm光激发叶绿素a和β-胡萝卜素分子、473和481 nm光激发β-胡萝卜素分子,得到5组反应能量传递、电荷重组等过程的寿命组分:8～40 ps为核心天线中β-胡萝卜素分子通过相邻β-胡萝卜素分子或中间叶绿素a向叶绿素a分子传递能量的时间;85～152 ps为核心天线色素分子激发能传递时间;201～925 ps反映部分电荷重组过程;1.03l～1.2l ns为参与能量传递的色素分子从激发态衰退回到基态的时间;6.17～18.13 ns的长寿命时间组分归因于P680+Pheo-的重组过程.将荧光发射谱进行高斯解析,发现在核心复合物中还至少存在Chla 685 683、Chla 682 680、Chla679 673,677三种特征叶绿素a分子.     

时间分辨荧光光谱测量结果的一种数据处理改进方法

在综合矩方法和拉普拉斯变换方法原理的基础上,本文报道一种时间相关单光子计数测出的荧光衰变动力学曲线的数据处理的改进方法.此方法使我们能在花费时间较少的条件下得出和用最小二乘法拟合相比拟的准确分析结果.这一方法的优点已被用于分析香豆素102+DCM和香豆素102+PBBO激光染料乙醇溶液的双指数荧光衰变过程的结果所证实,此外,本文也讨论了仪器时间漂移校正及拉普拉斯变换的数据截取问题.     

时间分辨荧光免疫分析及其在临床检测中的应用

本文介绍了时间分辨荧光免疫分析法的检测原理、检测方法,分析了时间分辨荧光免疫分析仪的结构并介绍了其在临床检测方面的应用。     

时间分辨荧光免疫分析法确定血痕种属

采时时间分辨荧光免疫分析法（ＴＲＦＩＡ）鉴定微量血痕种属。固相和铕标记抗体均采用抗人ＩｇＧ抗体。通过检测可确定血痕是否来源于人体。使用本法检测血清样品的灵敏度达５０万倍稀释度,检测血痕样品达２０万倍稀释度,时间分辨荧光免疫分析法具有无放射性污染,标记物保存期长,特异性好,结果稳定,操作简便等优点,适于法医学的常规检测。     

生物组织光学特性的时间分辨透射测量

基于时域漫射理论,提出一种用透射光来确定生物组织光学特性的方法。通过对生物组织的模拟测量,结果表明：此方法具有算法简单,速度快,精度高等优点,并比较了透射和反射两种测量法的精度。     

Monte Carlo Simulation of Polyampholyte Chains

Abstract

Polyampholyte copolymers containing both positive and negative monomers regularly dispersed along the chain were studied. The Monte Carlo method was used to simulate chains with charged monomers interacting by screened Coulomb potential. The neutral polyampholyte chains collapse due to the attractive electrostatic interactions. The nonneutral chains are in extended conformations due to the repulsive polyelectrolyte effects that dominate the attractive polyampholyte interactions. The results are in good agreement with experiment.     

Monte Carlo Simulation of Nonionic Surfactants at the Oil-Water Interface

Abstract

A Monte Carlo simulation method has been developed for modelling amphiphiles at an oil-water interface. Properties are calculated for the mixture water, benzene and tetraoxyethylene glycol dodecyl ether.     

Grand Canonical Ensemble Monte Carlo Simulation on a Transputer Array

Five methods are described for the distribution over a 3D Transputer array of the calculation of the pair interaction component of particle energy. The most efficient method, expressed in terms of the time to complete a simulation, depends on the size of the simulation and the Transputer array. This dependence is quantified, with emphasis on Grand Canonical Ensemble Monte Carlo simulation, and yields criteria for the optimum strategy for parallel implementation of GCEMC algorithms. The equations derived are generally applicable, and have implications for the programming of Molecular Dynamics simulations.     

Distance-scaled Force Biased Monte Carlo Simulation for Solutions containing a Strongly Interacting Solute

The force-biased extension of the Metropolis Monte Carlo method [1] improves convergence by sampling moves preferentially along the directions of force (and torque) [2]. For solvated systems it is particularly effective [3] when coupled with the preferential sampling scheme [4] that attempts to move solvents near the solute more frequently. However, in recent force-biased simulations of aqueous ionic solutions [5] some of the water molecules in the vicinity of the solute remained essentially stationary. Only significant reduction in the stepsize produced some accepted moves.     

Monte Carlo Simulation of Binary Gas Adsorption in Zeolite Cavities

Abstract

Grand canonical Monte Carlo simulations have been performed for binary adsorption of Lennard-Jones molecules with point multipole moments in zeolite cavities of type X. Fluid-solid electrostatic interactions were taken into account. Phase diagrams and total coverage were calculated for three binaries and compared with experimental measurements. MC simulations gave good agreement with experiment for two mixtures (C₂H₄-CO₂ and CO₂-CH₄) but there were discrepancies between simulation and experiment for the system i-C₄H₁₀-C₂H₄. The dependence of excess Gibbs free energy on the composition and pressure was studied. Negative deviations from ideality are due to energetic heterogeneity and size effects. Unlike liquid-vapor equilibrium, deviations from the Lorentz-Berthelot mixing rules for the adsorbates have little effect upon the phase behavior. Density distributions show that the components compete for the high energy sites inside the cavity; depending on its relative strength of adsorption, one component may be excluded from such positions (CH₄ in CO₂-CH₄), or the two species may share sites inside the cavity (C₂H₄-CO₂).     

方差组分估计方法MIVQUE和REML的模拟比较

利用ＭｏｎｔｅＣａｒｌｏ方法,对４种数据结构进行了ＭＩＶＱＵＥ和ＲＥＭＬ两种方差组分估计方法的模拟比较。方差组分估计所用的模型为奶牛育种中常用的公畜模型,它包括场年季固定效应、公牛组固定效应和公牛随机效应。４种数据结构中最大的有１２８４７个观察值,场年季效应和公牛效应水平数分别为７７８和４７,它与北京市目前可利用的奶牛头胎产奶量记录资料相当。最小的数据结构只有２００个观察值,１４８个场年季和２０头公牛。比较指标为估计值的偏差和方差（理论的或根据１０００次重复模拟所得的经验值）。结果表明,对于较大样本的数据结构,两种方法差异很小,它们间的估计值的相关接近于１,偏差小于真值的１％,方差近似相等。对于较小样本的数据结构,ＭＩＶＱＵＥ则明显优于ＲＥＭＬ。本研究还表明,对于ＲＥＭＬ来说,类似数据结构１的样本已能满足其渐近无偏性和有效性的大样本特性。     

All-Atom Monte Carlo Approach to Protein-Peptide Binding

We develop a procedure for exploring the free energy landscape of protein-peptide binding at atomic detail and apply it to PDZ domain-peptide interactions. The procedure involves soft constraints on receptor proteins providing limited chain flexibility, including backbone motions. Peptide chains are left fully flexible and kept in spatial proximity of the protein through periodic boundary conditions. By extensive Monte Carlo simulations, full representative conformational ensembles at temperatures where bound and unbound states coexist are obtained. To make this approach computationally feasible, we develop an effective all-atom energy function centering on hydrophobicity, hydrogen bonding, and electrostatic interactions. Our initial focus is a set of 11 PDZ domain-peptide pairs with experimentally determined complex structures. Minimum-energy conformations are found to be highly similar to the respective native structures in eight of the cases (all-atom peptide RMSDs < 6 Å). Having achieved that, we turn to a more complete characterization of the bound peptide state through a clustering scheme applied on the full ensembles of peptide structures. We find a significant diversity among bound peptide conformations for several PDZ domains, in particular involving the N terminal side of the peptide chains. Our computational model is then tested further on a set of nine PDZ domain-peptide pairs where the peptides are not originally present in the experimentally determined structures. We find a similar success rate in terms of the nativeness of minimum-energy conformations. Finally, we investigate the ability of our approach to capture variations in binding affinities for different peptide sequences. This is done in particular for a set of related sequences binding to the third PDZ domain of PSD-95 with encouraging results.     

用于Monte Carlo模拟的复杂生物组织模型

Monte Carlo（MC）模拟被广泛应用于光子在生物组织中的传输研究。通常模拟时将生物组织近似为均匀的平板分层介质,当层状生物组织中含有异常物质（如肿瘤细胞等）或正常生物组织为非平板的复杂结构时,其模拟中的组织模型将会有相应的改变。通过探讨这几类生物组织的MC模拟模型,总结并分析模型建立的关键问题,对基于MC模拟的各种生物组织光学检测研究提供了指导。     

Computer Simulation of Two-Dimensional Continuum Flows by the Direct Simulation Monte Carlo Method

Abstract

Computer simulations using particles are an attractive method to extract microscopic information of flow phenomena [1]. The molecular dynamics (MD) method, in which Newton's equations of motions are integrated, gives the temporal development of the system. In the MD simulation of fluid flows, the computational region is limited to atomistic scales [2]. On the other hand, the direct simulation Monte Carlo (DSMC) method, in which collisions of particles are made on a probabilistic basis, has a potential of treating a realistic system with a macroscopic scale length retaining the atomistic details. The DSMC method provides an efficient way to integrate the Boltzmann equation from the rarefied gas to the near-continuum region. Bird clarified the validity of the DSMC method in the near-continuum flow region [3]. However, the DSMC method has not been applied to the continuum region and compared with the continuum hydrodynamics.