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Simultaneous determination of fusidic acid and steroids from bulk drugs and human plasma by reversed phase HPLC

Nawaz M., Arayne M. S., Sultana N., Haider A., Hisaindee S.

Acta Chromatographica

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2014

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Vol. 26, no. 1

57--66

EN

A simple, rapid, and sensitive high-performance liquid chromatography method was developed and validated for the simultaneous determination and quantification of fusidic acid and steroids (prednisone, betamethasone valerate, hydrocortisone acetate, and dexamethasone sodium) from bulk drugs and human plasma. A RP-HPLC, operated at ambient temperature, was equipped with a UV detector for monitoring the effluents at 235 nm. The mobile phase consisted of methanol, acetonitrile, and 0.05 M phosphoric acid (10:60:30, v/v/v), and separation was achieved on a Medeterrane, C18 (5 μm, 12.5 × 0.46 mm) column at a flow rate of 1.7 mL min -1. Calibration curves were linear over concentration range 0.625–10 μg mL -1 with correlation coefficient (r2) greater than 0.9999. The coefficient of variation (CV) and relative error (RE) for intra- and interassay were <2% and <1%, respectively. Interference of other already administered common medicaments, such as aspirin, paracetamol, caffeine, nicotine, and other plasma components, were not found.

2

Information systems implementation in production environments

Haider A.

Journal of Achievements in Materials and Manufacturing Engineering

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2008

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Vol. 31, nr 2

853-861

EN

Purpose: This paper discusses the issue of information systems for managing plant and equipment assets utilised in production and service provision environments. It takes a holistic systems view of the business environment and proposes a generative learning centric framework that provides valuable learnings on the value that information systems provide and the maturity of the processes that they enable. Design/methodology/approach: It starts with establishing the definitions and descriptions of asset and its management and the role of information systems in production and manufacturing environments as well as in asset lifecycle management. This is followed by a detailed discussion of information system implementation for asset lifecycle management, by accounting for their alignment with the business objectives and their fit with the organization's cultural, social, and technical settings. The paper then presents a generative learning centric framework that provides valuable learnings on the value that information systems provide and the maturity of the processes that they enable. Findings: Theoretically, information collected throughout the asset lifecycle provides the basis for analysis aimed at generating valuable learnings that could be used to enable generative learning. Practical implications: Generative learning not only serves as the basis for evaluation of asset lifecycle management processes performance, but in so doing also highlights the gaps between the existing and desired levels of performance; thereby informing the asset management strategy and plan. Originality/value: The information systems frameworks provide for a continually improving asset management regime and its enabling infrastructure by extending the resource based view of asset management to a knowledge based view, thereby building competencies that contribute to competitiveness and responsiveness of the organisation.

3

Reconstruction of 3D human hair shape from video captured images and CT data

Haider A., Kaneko T.

Machine Graphics and Vision

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2001

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Vol. 10, No. 1

3-14

EN

We propose tree-dimensional (3D) reconstruction method of human hair-shape from rotating head multiple video captyred images and Ct data. It is well known that no hair is present on the polygonal skin surface of the human head (3D-head) reconstructed from CT or MRI data. Our task is to reconstruction and add the hair-shape on the 3D-head to create a realistics human head model for simulating post-surgical facial expressions. Using a sculpturing technique based upon rotating head images we proposed a method of reconstructing the hair-shape as well as concave and semi-occluded parts in the skin-hair junction regions. We have utilized binarized voxel data of the 3D-head (solid-head) in this regard. The sculpturing objects in our definition is the solid-head surrouded by assumed thick hair-voxels. We sculpture the surrounding hair-voxels according to the extracted hair-region from the video captured while keeping the internal solid-head intact. We reconstruct the concave and semi-occluded regions by digging up to the visible skin surface of the solid-head in/near the hair region. We define complete-model as the 3D polygonal surface obtained from solid-head including the resione sculptured hair-voxel on it. Experimentally we have shown that our method yields hair shape to be used in partice.