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Michael A. P. McAuliffe

Researcher at Cork Institute of Technology

Publications -  18
Citations -  205

Michael A. P. McAuliffe is an academic researcher from Cork Institute of Technology. The author has contributed to research in topics: Volcano & Chemistry. The author has an hindex of 6, co-authored 16 publications receiving 176 citations. Previous affiliations of Michael A. P. McAuliffe include University College Cork.

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Four-dimensional distribution of the 2010 Eyjafjallajökull volcanic cloud over Europe observed by EARLINET

Gelsomina Pappalardo, +62 more
TL;DR: In this article, the authors show the four-dimensional (4-D) distribution of the Eyjafjallajokull volcanic cloud in the troposphere over Europe as observed by EARLINET during the entire volcanic event (15 April-26 May 2010).
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The Use of PAT and Off-line Methods for Monitoring of Roller Compacted Ribbon and Granule Properties with a View to Continuous Processing

TL;DR: In this paper, a real-time process monitoring using process analytical technology (PAT) tools can augment process understanding, enable improved process control, and facilitate the production of high-quality pharmaceutical products.
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Metal nanoinks as chemically stable surface enhanced scattering (SERS) probes for the analysis of blue BIC ballpoint pens

TL;DR: Metal nanoinks constituted by Ag nanoparticles and Au nanorods were employed as probes for the Surface Enhanced Raman Scattering (SERS) analysis of a blue BIC ballpoint pen, allowing easy identification of phthalocyanine Blue 38 and triarylene crystal violet in the ink mixture.
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A low-cost, portable optical sensing system with wireless communication compatible of real-time and remote detection of dissolved ammonia

TL;DR: In this article, a low-cost and portable optical chemical sensor based ammonia sensing system that is capable of detecting dissolved ammonia up to 5 ppm is presented, which operates without the requirement of laboratory instruments that makes it cost effective and highly portable.
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Near-infrared monitoring of roller compacted ribbon density: Investigating sources of variation contributing to noisy spectral data.

TL;DR: How variability in roller compacted ribbon quality can impact on NIR spectral measurement and to propose a simple method of data selection to remove erroneous spectra is highlighted and a non‐subjective method capable of screening for erroneous probe readings was developed.