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New biotechnology involving nanoparticles for the production of ecologically pure vegetables in greenhouses has described. The main feature of the method is the generation of a special controlled gas medium containing nanoparticles of the main macro- and microelements, which freely penetrate into the foliage and stems of crops providing their metabolic activity. The source of the gas medium is the products of self-spreading high-temperature synthesis.

Monodisperse magnetic nanoparticles were produced and subsequently coated with a gold layer by the reduction at surface of a gold precursor in order to develop an integrated detection and “gene fishing” system. Functionalization of the nanoparticles could allow the application of this system to a variety of biomolecules.

Existence of both zircon- and monazite-type polymorphs for Dy, Tb and Gd orhtophosphates has been previously reported, however, available structural and thermodynamic data are scarce. The goal of this work was to evaluate the energetics of structural changes in these compounds.

HfO² is a prospective material for application as high-temperature ceramic and high-K dielectric in integrated circuits. HfO² isostructural to zirconium oxide and undergo monoclinic-tetragonal and tetragonal-cubic translations with temperate. High temperature phases are not quenchable but can be obtained in high area samples. Monoclinic-tetragonal transition in hafnia is critical for its application.

A recently developed Metabolomics informatics solution from raw data processing to metabolite database searching, compatible with multiple instruments, has been successfully applied to the analysis of 1H NMR human serum spectra of diabetic and non-diabetic subjects. This study also highlights Overlap Density Heatmap, a novel technology that complements the use of chemometrics in biomarker identification.

At present, metabolite profiling is of growing importance in herbal medicine fields such as breeding, formulation, quality control and clinical trials. Herbal metabolic profiling allows direct detection of down-stream derivatives of metabolites, arising from herbal formulation process, using metabolite profiling ultra performance liquid chromatography time-of-flight mass spectrometry.

Metabolic profiling is concerned with the analysis of low molecular weight compounds present in complex samples such as plasma. Analytical techniques such as UPLC/MS are proving to be powerful tools for metabolic profiling on complex samples such as plasma. Here we describe a protocol of metabolic profiling analysis on plasma by UPLC/MS.

In order to improve the efficiency of NMR-based metabolomics studies, we have developed KnowItAll® Informatics System, Metabolomics Edition as a consistent and integrated software environment that covers the entire process from processing raw NMR data —to multivariate analysis—to biomarker identification. Using two datasets of 1H NMR spectra of mouse urine and human serum, we demonstrate the high efficiency of this integrated workflow for metabolomics data analysis.

Characteristic 2D fractions are rapidly identified among thousands using interactive visualization, filtering and data mining with VisualCockpit. Biomarker candidates are found therein after identifying proteins from sequence tags. VisualCockpit correlates their concentrations, reflected by normalized MS peptide peak height sum, enzyme activity and immunoreactivity, to donor conditions.

20 tuberculosis (12 slow-responders and 8 fast responders) patients were treated with directly observed short course anti-tuberculosis chemotherapy. Chest X-ray was performed. sICAM-1 and suPAR were measured in serum by ELISA, TNFRs using the luminex technology. General discrimination analysis on selected analytes gave, 91.66% and 87,50% correctly classify fast responders and slow responder respectively. The support vector machine analysis gave 100% correct classification.