LazySusan: A Flexible, Scalable Digital Repository Ingest System

4th International Conference on Open RepositoriesThis presentation was part of the session : Conference PostersWe present LazySusan, an architecture for a digital repository ingest system designed for flexibility and performance. The elements of LazySusan are: 1) A distributed processing model - digital objects are processed and stored by multiple processes on multiple machines interacting with a central job store. 2) Scalability and flexibility - processing agents are spawned and terminated on-demand to respond to changing load conditions. 3) Storage optimzation scheduling - storage bandwidth is the main bottleneck in most large-scale digital repositories. LazySusan is designed to optimize use of the storage channel. 4) Flexible workflow - LazySusan uses a Fedora workflow datastream to track processing objects. 5) Metadata management is performed by Fedora

Comparative chemical fingerprinting of <i>Oroxylum indicum</i> and <i>Scutellaria baicalensis</i> using liquid chromatography and mass spectrometry

<p>Introduction: Identification of <i>Oroxylum indicum</i> and <i>Scutellaria baicalensis</i> provides an interesting challenge in selection of biomarker compound to be used in routine analysis. Both plants have similar phytochemical profile and are rich sources of flavones and flavone glycosides. The objective of this study was to prepare the chemical fingerprinting of <i>O. indicum</i> bark and <i>S. baicalensis</i> roots using the liquid chromatography and mass spectroscopy in single chromatographic method. Materials and methods: Extracts prepared using various solvent systems (methanol, aqueous methanol, chloroform, hexane, and water) of both plants were analyzed using C18 reverse phase column with solvent system containing acetonitrile and 0.1% formic acid. Major flavonoids were identified based on mass spectra, fragmentation pattern, and UV spectra. Results: In this article, well-resolved high-performance liquid chromatographic (HPLC) separation in both plant extracts was obtained and chemical fingerprints for both plant extracts were established and flavonoids present (baicalin, oroxylin A-7-<i>O</i>-glucuronide, chrysin-7-<i>O</i>-glucuronide, baicalein, chrysin, oroxylin-A, wogonin, skullcap flavone II) were identified as possible biomarkers. Conclusion: Mass spectrometry coupled with HPLC can be a tool for fingerprinting of various natural products used in dietary supplement industry. The fingerprint developed in the article can be used for quality evaluation as well as identifying possible adulteration of extracts of both the plants.</p