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Gunter Saunders

Researcher at University of Westminster

Publications -  33
Citations -  840

Gunter Saunders is an academic researcher from University of Westminster. The author has contributed to research in topics: Penicillium chrysogenum & Coursework. The author has an hindex of 12, co-authored 33 publications receiving 788 citations.

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Factors affecting faculty use of learning technologies: implications for models of technology adoption

TL;DR: Findings are more consistent with models of technology engagement that recognize facilitating or inhibiting conditions (unified theory of acceptance and use of technology; decomposed theory of planned behavior) than the classic technology acceptance model (TAM).
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Heterologous gene expression in filamentous fungi

TL;DR: The recent progress made in the use of filamentous fungi as hosts for the expression of foreign genes is discussed, highlighting their established and potential advantages for the production of proteins of therapeutic and/or commercial significance.
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Integrating Technology into a Traditional Learning Environment Reasons for and Risks of Success

TL;DR: In this article, an evaluation of student views and reactions to a changed approach to teaching and learning that was enabled by the extensive use of information and communication technology (ICT) was carried out over two academic years.
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High-performance liquid chromatographic determination of β-lactam antibiotics, using fluorescence detection following post-column derivatization

TL;DR: In this article, the authors describe a rapid, sensitive and specific technique for the determination in microbial fermentation broths of several naturally produced β-lactams, which consists of reversed-phase, high-performance liquid chromatographic separation of the antibiotics on an octylsilane chemically bonded stationary phase.
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Rapid and quantitative analysis of metabolites in fermentor broths using pyrolysis mass spectrometry with supervised learning: application to the screening of Penicillium chrysogenum fermentations for the overproduction of penicillins☆

TL;DR: PyMS with the multivariate clustering technique of principal components analysis was able to differentiate between four strains of P. chrysogenum studied, and was also able to detect phenotypic differences at five, seven, nine or 11 days growth.