Far-infrared microbolometer detectors

The bismuth microbolometer is a simple, easily made detector suitable for use throughout the far-infrared, which has been integrated with a variety of planar antennas. The general thermal properties of these devices and some of the constraints on bolometer materials are discussed. The fabrication and performance of several different types of microbolometers and microthermocouples are described.Supported by the Department of Energy contract DE-AM03-765F-00010 Task IIA; Army Research Office contract DAAG29-82-K-0165; and the Jet Propulsion Laboratory through Dr. M. Litvak.     

Grid oscillators

Loading a two-dimensional grid with active devices offers a means of combining the power of solid-state oscillators in the microwave and millimeter-wave range. The grid structure allows a large number of negative resistance devices to be combined. This approach is attractive because the active devices do not require an external locking signal, and the combining is done in free space. In addition, the loaded grid is a planar structure amenable to monolithic integration. Measurements on a 25-MESFET grid at 9.7 GHz show power-combining and frequencylocking without an external locking signal, with an ERP of 37 W. Experimental far-field patterns agree with theoretical results obtained using reciprocity.     

yDNA versus xDNA pyrimidine nucleobases: computational evidence for dependence of duplex stability on spacer location

The structural and binding properties of the natural and x- and y-pyrimidines were compared using computational methods. Our calculations show that although the x-pyrimidines favor different orientations about the glycosidic bond compared to the natural pyrimidines, which could have implications for the formation and resulting stability of xDNA duplexes and jeopardize the selectivity of expanded nucleobases, y-pyrimidines have rotational profiles more similar to the natural bases. Increasing the pyrimidine size using a benzene spacer leads to relatively minor changes in the hydrogen-bond strength of isolated Watson-Crick base pairs. However, differences in the anomeric carbon distances in pairs composed of x- or y-pyrimidines suggest yDNA may yield a more optimal expanded structure. By stacking two monomers via their centers of mass, we find that the expanded nucleobases stack much stronger than the natural bases. Additionally, although replacing xT by yT changes the stacking energy by less than 5 kJ mol (-1), replacing xC by yC significantly strengthens complexes with the natural nucleobases (by up to 30%). Calculations on larger duplex models composed of four nucleobases reveal that x- and y-pyrimidines can increase duplex stability of natural helices by strengthening both the intra and interstrand stacking interactions. Furthermore, when the total stability (sum of all hydrogen-bonding and (intrastrand and interstrand) stacking interactions) of the larger models is considered, y-pyrimidines lead to more stable complexes than x-pyrimidines for all but three duplex sequences. Thus, through analysis of a variety of properties, our calculations suggest that the location of the benzene spacer affects the properties of expanded nucleobases and the stability of expanded duplexes, and therefore should be carefully considered when designing future expanded analogues.     

Molecular dynamics simulation of thermomechanical properties of montmorillonite crystal. 1. Isolated clay nanoplate

The structure and mechanical properties of clay nanoparticles is a subject of growing interest because of their numerous applications in engineering. We present the results of molecular dynamics simulation for a single nanoplate of pyrophyllite - a 2:1 clay mineral consisting of two tetrahedral sheets of SiO4 and an intervening octahedral AlO6 sheet. Simulations were performed in the temperature interval from 5 to 750 K using the ionic-type potentials of Cygan et al. On this basis the temperature dependences of structural parameters, characterizing both tetrahedral and octahedral sheets as well as single lamella, have been studied. Two slightly different structures were observed in this wide temperature interval. The mechanical properties of the nanoplate were calculated from stress-strain diagrams, which have been obtained at relatively slow rates of deformation (for molecular simulations). Using different types of loading, we calculated the full elasticity tensor and estimated the influence of temperature on its components. We estimated also the bending and torsion stiffnesses of the nanoplate as specific characteristics of this type of particle. Because the nanoplate is atomically thin, a reasonable determination of the thickness is a nontrivial problem, both in the modeling of mechanical properties and in physical interpretation of the obtained data. We propose a procedure for its calculation.     

Mixtures of interacting particles with well-defined composition field coupling chi parameters

This article proposes a systematic, quantitative treatment of the problem of associating a scalar Flory-Huggins-like chi parameter directly with the interaction potentials in a binary mixture of point particles. This work fulfills the need for a general, quantitative way to compare chi values in explicitly simulated ensembles of lattice and off-lattice polymer models with field theoretic calculations. Emphasis is placed on constructing particle models where chi is relatively well defined. In general, chi is defined through pair correlation functions, whose thermal fluctuations are coupled to local average composition and composition gradients. This implies that chi is composition dependent even in the simplest particle models. At the same time, by quantifying this effect, it is found that composition-independent chi may be defined to within a few percent for cases where the range of the potential is large relative to the interparticle distance. An explicit formula for chi in terms of interaction potentials is given.     

Optimization of a liquid chromatography ion mobility-mass spectrometry method for untargeted metabolomics using experimental design and multivariate data analysis

High-resolution mass spectrometry coupled with pattern recognition techniques is an established tool to perform comprehensive metabolite profiling of biological datasets. This paves the way for new, powerful and innovative diagnostic approaches in the post-genomic era and molecular medicine. However, interpreting untargeted metabolomic data requires robust, reproducible and reliable analytical methods to translate results into biologically relevant and actionable knowledge. The analyses of biological samples were developed based on ultra-high performance liquid chromatography (UHPLC) coupled to ion mobility - mass spectrometry (IM-MS). A strategy for optimizing the analytical conditions for untargeted UHPLC-IM-MS methods is proposed using an experimental design approach. Optimization experiments were conducted through a screening process designed to identify the factors that have significant effects on the selected responses (total number of peaks and number of reliable peaks). For this purpose, full and fractional factorial designs were used while partial least squares regression was used for experimental design modeling and optimization of parameter values. The total number of peaks yielded the best predictive model and is used for optimization of parameters setting.     

Application of support vector machines to 1H NMR data of fish oils: methodology for the confirmation of wild and farmed salmon and their origins

Support vector machines (SVMs) were used as a novel learning machine in the authentication of the origin of salmon. SVMs have the advantage of relying on a well-developed theory and have already proved to be successful in a number of practical applications. This paper provides a new and effective method for the discrimination between wild and farm salmon and eliminates the possibility of fraud through misrepresentation of the country of origin of salmon. The method requires a very simple sample preparation of the fish oils extracted from the white muscle of salmon samples. (1)H NMR spectroscopic analysis provides data that is very informative for analysing the fatty acid constituents of the fish oils. The SVM has been able to distinguish correctly between the wild and farmed salmon; however ca. 5% of the country of origins were misclassified.     

Fruit juice authentication by <Superscript>1</Superscript>H NMR spectroscopy in combination with different chemometrics tools

To discriminate orange juice from grapefruit juice in a context of fraud prevention, ¹H NMR data were submitted to different treatments to extract informative variables which were then analysed using multivariate techniques. Averaging contiguous data points of the spectrum followed by logarithmic transformation improved the results of the data analysis. Moreover, supervised variable selection methods gave better rates of classification of the juices into the correct groups. Last, independent-component analysis gave better classification results than principal-component analysis. Hence, ICA may be an efficient chemometric tool to detect differences in the ¹H NMR spectra of similar samples, and so may be useful for authentication of foods.     

Investigating the oxidation of alkenes by non-heme iron enzyme mimics

Iron is emerging as a key player in the search for efficient and environmentally benign methods for the functionalisation of C-H bonds. Non-heme iron enzymes catalyse a diverse array of oxidative chemistry in nature, and small-molecule complexes designed to mimic the non-heme iron active site have great potential as C-H activation catalysts. Herein we report the synthesis of a series of organic ligands that incorporate key features of the non-heme iron active site. Iron(ii) complexes of these ligands have been generated in situ and their ability to promote hydrocarbon oxidation has been investigated. Several of these systems promote the biomimetic dihydroxylation of cyclohexene at low levels, when hydrogen peroxide is used as the oxidant; allylic oxidation products are also observed. An investigation of ligand stability reveals formation of several breakdown products under the conditions of the oxidative turnover reactions. These products arise via oxidative decarboxylation, dehydration and deamination reactions. Taken together these results indicate that competing mechanisms are at play with these systems: biomimetic hydroxylation involving high-valent iron species, and allylic oxidation via Fenton chemistry and Haber-Weiss radical pathways.