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Anne Casey

Publications and source records attributed to Anne Casey.

11 recordsLinked to original sources

Purification and characterization of extracellular phytase from Aspergillus niger ATCC 9142.

Extracellular phytase produced by Aspergillus niger ATCC 9142 was purified to homogeneity by employing an initial ultrafiltration step, followed by chromatography using ion exchange, gel filtration and chromatofocusing steps. The purified enzyme was an 84 kDa, monomeric protein. It possessed a temperature optimum of 65 degrees C, and a pH optimum of 5.0. Km and Vmax values of 100 microM and 7 nmol/s, respectively, were recorded and these values fall well within the range of those previously reported for microbial phytases. Substrate specificity studies indicated that, while the enzyme could hydrolyse a range of non-phytate-based phosphorylated substrates, its preferred substrate was phytate. Phytase activity was moderately stimulated in the presence of Mg2+, Mn2+, Cu2+, Cd2+, Hg2+, Zn2+ and F- ions. Activity was not significantly affected by Fe2- or Fe3- and was moderately inhibited by Ca2+. The enzyme displayed higher thermostability at 80 degrees C than did two commercial phytase products. Initial characterisation of the purified enzyme suggested that it could be a potential candidate for use as an animal feed supplement.

6-Phytase↗

The right start?

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Child↗

Information model and terminology model issues related to goals.

Goal statements are a significant component of structures that support the process of health care delivery such as practice guidelines, standards of care, critical pathways, disease management plans, patient education plans, and nursing care plans. Although these structures are increasingly computer-based, there has been little attention to the formal representation of goal statements. This is a necessary prerequisite for enabling semantic interoperability. Existing and evolving information model and terminology model standards offer some approaches that may be applicable to goal statements, however, a number of issues require resolution

Goals↗

Formal nursing terminology systems: a means to an end.

In response to the need to support diverse and complex information requirements, nursing has developed a number of different terminology systems. The two main kinds of systems that have emerged are enumerative systems and combinatorial systems, although some systems have characteristics of both approaches. Differences in the structure and content of terminology systems, while useful at a local level, prevent effective wider communication, information sharing, integration of record systems, and comparison of nursing elements of healthcare information at a more global level. Formal nursing terminology systems present an alternative approach. This paper describes a number of recent initiatives and explains how these emerging approaches may help to augment existing nursing terminology systems and overcome their limitations through mediation. The development of formal nursing terminology systems is not an end in itself and there remains a great deal of work to be done before success can be claimed. This paper presents an overview of the key issues outstanding and provides recommendations for a way forward.

Information Systems↗