Member of the Association of American Physicians
Gerard Downey mainly focuses on Quality, Partial least squares regression, Chemometrics, Near-infrared spectroscopy and Analytical chemistry. Gerard Downey has researched Partial least squares regression in several fields, including Wavelet and Linear regression. His work deals with themes such as Selection, Data set and Pattern recognition, which intersect with Chemometrics.
His Near-infrared spectroscopy research integrates issues from Reflectivity and Animal science. Gerard Downey interconnects Factorial discriminant analysis, Adulterant, Tenderness and Near infrared reflectance spectroscopy in the investigation of issues within Analytical chemistry. His study in Food quality is interdisciplinary in nature, drawing from both Computer vision and Identification.
His primary areas of investigation include Analytical chemistry, Partial least squares regression, Near-infrared spectroscopy, Food science and Chemometrics. The study incorporates disciplines such as Factorial discriminant analysis, Principal component analysis, Calibration and Near-Infrared Spectrometry in addition to Analytical chemistry. Partial least squares regression is the subject of his research, which falls under Statistics.
His Near-infrared spectroscopy study integrates concerns from other disciplines, such as Chromatography, Hyperspectral imaging, Mineralogy and Reflectivity. Many of his research projects under Food science are closely connected to Spectral data and Sensory system with Spectral data and Sensory system, tying the diverse disciplines of science together. The concepts of his Chemometrics study are interwoven with issues in Fourier transform infrared spectroscopy, Adulterant and Food industry.
His primary scientific interests are in Analytical chemistry, Partial least squares regression, Raman spectroscopy, Food science and Coefficient of determination. His biological study focuses on Chemometrics. The Chemometrics study combines topics in areas such as Near infrared hyperspectral imaging, Hyperspectral imaging and Chemical quality.
His Partial least squares regression research is multidisciplinary, incorporating elements of Cross-validation and Skimmed milk. His Raman spectroscopy research is multidisciplinary, incorporating perspectives in Maillard reaction, Ingredient and Chromatography. His research in the fields of Protein content overlaps with other disciplines such as White flour, DNA microarray and Proteomics.
Gerard Downey mainly investigates Analytical chemistry, Raman spectroscopy, Near-infrared spectroscopy, Maillard reaction and Partial least squares regression. He has included themes like Mean squared error, Linear discriminant analysis and Hyperspectral imaging in his Analytical chemistry study. His research in Raman spectroscopy intersects with topics in Scientific method, Chromatography, Absorbance and Lactose.
His study in the fields of Mass spectrometry under the domain of Chromatography overlaps with other disciplines such as Spectral data. His biological study spans a wide range of topics, including Overtone, Detection limit, Range, Mineralogy and Calibration. The various areas that Gerard Downey examines in his Partial least squares regression study include Food science and Lean meat.
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Hyperspectral imaging – an emerging process analytical tool for food quality and safety control
A.A. Gowen;C.P. O'Donnell;P.J. Cullen;G. Downey.
Trends in Food Science and Technology (2007)
Recent technological advances for the determination of food authenticity
Linda M. Reid;Colm P. O'Donnell;Gerard Downey.
Trends in Food Science and Technology (2006)
Mid-infrared spectroscopy coupled with chemometrics: a tool for the analysis of intact food systems and the exploration of their molecular structure-quality relationships - a review
Romdhane Karoui;Gerard Downey;Christophe Blecker.
Chemical Reviews (2010)
Effect of thermal and high pressure processing on antioxidant activity and instrumental colour of tomato and carrot purées
Ankit Patras;Nigel Brunton;Sara Da Pieve;Francis Butler.
Innovative Food Science and Emerging Technologies (2009)
Breaking with trends in pre-processing?
Jasper Engel;Jan Gerretzen;Ewa Szymańska;Jeroen J. Jansen.
Trends in Analytical Chemistry (2013)
Multivariate class modeling for the verification of food-authenticity claims
Paolo Oliveri;Gerard Downey.
Trends in Analytical Chemistry (2012)
Detecting and quantifying sunflower oil adulteration in extra virgin olive oils from the eastern mediterranean by visible and near-infrared spectroscopy
Gerard Downey;Peter Mcintyre;Antony N. Davies.
Journal of Agricultural and Food Chemistry (2002)
Application of principal component and hierarchical cluster analysis to classify fruits and vegetables commonly consumed in Ireland based on in vitro antioxidant activity
Ankit Patras;Nigel P. Brunton;Gerard Downey;Ashish Rawson.
Journal of Food Composition and Analysis (2011)
Food and food ingredient authentication by mid-infrared spectroscopy and chemometrics
Trends in Analytical Chemistry (1998)
Hyperspectral imaging combined with principal component analysis for bruise damage detection on white mushrooms (Agaricus bisporus)
A. A. Gowen;C. P. O’Donnell;Masoud Taghizadeh;P. J. Cullen.
Journal of Chemometrics (2008)
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