Muscular fatigue investigated by phosphorus nuclear magnetic resonance.

Muscular fatigue has been studied using 31PNMR to measure the levels and rates of utilisation of several key metabolites and the free-energy change for ATP hydrolysis. Force development is closely correlated with metabolite levels and is proportional to the rate at which ATP is hydrolysed.     

The preparation and application of microbubble contrast agent combining ultrasound imaging and magnetic resonance imaging

Encapsulated gas microbubbles are well known as ultrasound contrast agents （UCAs） for medical ultrasound （US） imaging. With the development of shell materials and preparation technologies, the application of microbubbles has been enormously popular in molecular imaging, drug delivery and targeted therapy, etc. The objective of this study is to develop Fe3O4 nanoparticle-inclusion microbubble construct. The in vitro US imaging experiment indicates that the Fe3O4 nanoparticle-inclusion microbubbles have higher US enhancement than those without Fe3O4 nanoparticle-inclusion. According to the microbubble dynamic theory, the acoustic scattering properties can be quantified by scattering cross-section of the shell. The scattering study on Fe3O4 nanoparticle-inclusion microbubbles of different concentration shows that within a certain range of concentration, the scattering cross-section of microbubble increases with the addition of Fe3O4 nanoparticles. When exceeding the concentration range, the ultrasonic characteristic of microbubbles is damped. On the other hand, since Fe3O4 nanoparticles can also serve as the Magnetic Resonance Imaging （MRI） contrast agent, they can be potentially used as contrast agents for the double-modality （MRI and US） clinical studies. However, it is important to control the concentration of Fe3O4 nanoparticles in the shell in order to realize the combined functions of US and MRI.     

Single spin detection by magnetic resonance force microscopy

Magnetic resonance imaging (MRI) is well known as a powerful technique for visualizing subsurface structures with three-dimensional spatial resolution. Pushing the resolution below 1 micro m remains a major challenge, however, owing to the sensitivity limitations of conventional inductive detection techniques. Currently, the smallest volume elements in an image must contain at least 10(12) nuclear spins for MRI-based microscopy, or 10(7) electron spins for electron spin resonance microscopy. Magnetic resonance force microscopy (MRFM) was proposed as a means to improve detection sensitivity to the single-spin level, and thus enable three-dimensional imaging of macromolecules (for example, proteins) with atomic resolution. MRFM has also been proposed as a qubit readout device for spin-based quantum computers. Here we report the detection of an individual electron spin by MRFM. A spatial resolution of 25 nm in one dimension was obtained for an unpaired spin in silicon dioxide. The measured signal is consistent with a model in which the spin is aligned parallel or anti-parallel to the effective field, with a rotating-frame relaxation time of 760 ms. The long relaxation time suggests that the state of an individual spin can be monitored for extended periods of time, even while subjected to a complex set of manipulations that are part of the MRFM measurement protocol.     

一种人工智能核磁渗透率预测方法

针对目前常用预测方法难以较好地模拟核磁共振测量结果和渗透率之间复杂关系的问题,提出了一种应用人工智能算法预测核磁渗透率的新方法.在新方法中,采用了神经网络建立核磁测量结果和渗透率之间的关系;用遗传算法为神经网络选择最佳参数和初始值;用基于信息增益的数据挖掘技术对渗透率的相关参数进行优选.对来自松辽盆地的岩石样品进行试验...     

Two-state kinetics characterized by image analysis of nuclear magnetic resonance spectra

Nuclear magnetic resonance (NMR) spectroscopy has become an important tool in modern biological research. NMR spectra image analysis can be used to analyze the kinetics of biomacromolecular conformational changes.The relationship between the image parameters and the protein dynamics was investigated by using a small globular protein ω-conotoxin SO3 (ω-CTX SO3). The physical meanings of the image parameters were characterized from the results. Comparison of the data from the traditional integral area of specific resonance peaks method and the NMR image analysis method showed the advantages of using NMR spectra image analysis for kinetic analysis of two-state processes monitored by 1D proton NMR.     

Hippocampal abnormalities in amnesic patients revealed by high-resolution magnetic resonance imaging

The identification of brain structures and connections involved in memory functions has depended largely on clinico-pathological studies of memory-impaired patients, and more recently on studies of a primate model of human amnesia. But quantitative neurobehavioural data and detailed neuropathological information are rarely available for the same patients. One case has demonstrated that selective bilateral damage to the hippocampus causes a circumscribed memory impairment in the absence of other intellectual deficits. This finding, in conjunction with evidence from humans and monkeys, indicates that the hippocampus together with adjacent and anatomically related structures is essential for the formation of long-term memory, perhaps by virtue of the extensive reciprocal connections between the hippocampal formation and putative memory storage sites in the neocortex. Although cognitive studies of amnesia provide useful information about the functional organization of normal memory, it has not usually been possible to relate memory impairment to anatomy in living patients. We have developed a high-resolution protocol for imaging the human hippocampus with magnetic resonance that permits visualization of the hippocampal formation in substantial cytoarchitectonic detail, revealing abnormalities in patients with severe and selective memory impairment.     

美多心安-β-环糊精包合物的核磁光谱研究

通过共沉淀法制备了美多心安-β-环糊精包合物,并用核磁共振谱图加以鉴定,证明了美多心安和β-环糊精能够形成包合物,且包合物中主客分子比为2:1。     

Experimental realization of Shor's quantum factoring algorithm using nuclear magnetic resonance.

The number of steps any classical computer requires in order to find the prime factors of an l-digit integer N increases exponentially with l, at least using algorithms known at present. Factoring large integers is therefore conjectured to be intractable classically, an observation underlying the security of widely used cryptographic codes. Quantum computers, however, could factor integers in only polynomial time, using Shor's quantum factoring algorithm. Although important for the study of quantum computers, experimental demonstration of this algorithm has proved elusive. Here we report an implementation of the simplest instance of Shor's algorithm: factorization of N = 15 (whose prime factors are 3 and 5). We use seven spin-1/2 nuclei in a molecule as quantum bits, which can be manipulated with room temperature liquid-state nuclear magnetic resonance techniques. This method of using nuclei to store quantum information is in principle scalable to systems containing many quantum bits, but such scalability is not implied by the present work. The significance of our work lies in the demonstration of experimental and theoretical techniques for precise control and modelling of complex quantum computers. In particular, we present a simple, parameter-free but predictive model of decoherence effects in our system.     

Structure of antibody hypervariable loops reproduced by a conformational search algorithm

The antigen-combining site of antibody molecules consists of six separate loops supported by a conserved beta-sheet framework; antibody specificity arises from length and sequence variation of these 'hypervariable' loops and can be manipulated by transferring sets of loops between different frameworks. Irregular loops are the most difficult parts of protein structure to understand and to model correctly. Here, we describe two computer experiments where all the hypervariable loops were deleted from X-ray structures of mouse immunoglobulins and reconstructed using the conformational search program CONGEN. A protocol was developed for reconstruction of the hypervariable loops in McPC 603 antibody. Calculated loop conformations were generated and a model of the combining site was built from selected low-energy conformations. We then modelled hypervariable loops in another antibody molecule, HyHEL-5. Both models agreed well with the known crystal structures. Our results hold out promise for the success of future modelling studies of complete antigen-combining sites from amino acid sequences.