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Chemistry
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‘Turn-On’ Detection Of Hg2+ Ion Using A Peroxidase-Like Split…

- Date Added:
- 07/29/2010
- Hits:
- 13
A highly sensitive and selective Hg2+ detection method was developed based on the Hg2+-mediated formation of split G-quadruplex–hemin DNAzymes. In this method, two label-free oligonucleotides are used. In the presence of Hg2+, the two oligonucleotides hybridize to each other to form a duplex, in which T–T mismatches are stabilized by T–Hg2+–T base pair.
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[NiFe] and [FeFe] Hydrogenases Studied by Advanced Magnetic Resonance Techniques

- Date Added:
- 03/30/2009
- Hits:
- 25
Fossil fuels like coal, oil, and natural gases are not renewable on a human time scale and when combusted they pollute the earth’s atmosphere with carbon dioxide. -
ZnO Nanoparticle-Modified Infrared Internal Reflection Elements for Selective Detection of...

- Date Added:
- 06/23/2010
- Hits:
- 12
In this study, we integrated zinc oxide nanomaterials, which possess a high surface-to-volume ratio and take part in specific interactions with organic functional groups, into infrared sensing devices to improve both the sensitivity and selectivity of the detection of volatile organic com- pounds (VOCs).
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Zero-Dimensional Organic-Based Magnets Possessing Decamethylmetallocene

- Date Added:
- 10/27/2010
- Hits:
- 2
Magnets composed of organic components that provide both spin and spin coupling to stabilize ferromagnetic ordering were first realized with the ionic, electron transfer salt [Fe(C5Me5)2]+[TCNE]c (TCNE ¼ tetracyanoethylene), which orders at 4.8 K (Tc). After more than two decades of study, its structure, as well as the magnetic behaviour and structures of its solvates, have been recently established.
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XCMS: Processing Mass Spectrometry Data for Metabolite Profiling Using Nonlinear Peak Alignment, Mat

- Date Added:
- 06/28/2010
- Hits:
- 3
Metabolite profiling in biomarker discovery, enzyme substrate assignment, drug activity/specificity determination, and basic metabolic research requires new data preprocessing approaches to correlate specific metabolites to their biological origin. Here we introduce an LC/MS-based data analysis approach, XCMS, which incorporates novel nonlinear retention time alignment, matched filtration, peak detection, and peak matching.
