Hyperspectral imaging – an emerging process analytical tool for food quality and safety control

By Aoife A. Gowen, Colm O'Donnell, P. Cullen, G. Downey, J. Frías. 2007

1,377 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Biomedical Engineering, Biophysics

View Paper: https://www.semanticscholar.org/paper/edb11a439124103920577f2ff779dd7e8ddfea47

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Citations in the corpus

Prediction of white button mushroom (Agaricus bisporus) moisture content using hyperspectral imaging (2009, methodology): “This technique was initially developed for remote sensing applications but has since found applications in different fields such as astronomy, pharmaceuticals, food and medicine [8-17].”
Hyperspectral Imaging Applications in Agriculture and Agro-Food Product Quality and Safety Control: A Review (2013, methodology): “HSI has been used successfully in food and water bacterial contamination detection (39).”
NIR Spectroscopy Applications for Internal and External Quality Analysis of Citrus Fruit—A Review (2012, background): “Further information on the principles of these technologies could be found in a review by Gowen et al. (2007) T ab le 2 O ve rv ie w of ap pl ic at io ns of N IR sp ec tr os co py to m ea su re fr ui t qu al ity of M an da ri n fr ui t C ul tiv ar P ar am et er M od e W av el en gt h (n m ) P re pr…”
Using Multispectral Imaging for Spoilage Detection of Pork Meat (2013, background): “Several publications have been written on the subject of using multispectral imaging for food control (Gowen et al. 2007; Daugaard et al. 2010; Taghizadeh et al. 2010).”
Noise Reduction in Hyperspectral Imagery: Overview and Application (2018, background): “environmental monitoring, weather prediction, military [2], food industry [3], biomedical [4], and forensic research [5].”
Modern Trends in Hyperspectral Image Analysis: A Review (2018, background): “during last two decades, HSI has been applied to numerous applications including agricultural and water resources control [4], [5], military defense, art conservation and archeology [6], [7], medical diagnosis [8], [9], analyses of crime scene details [10], [11], document imaging [12], forensic medi”
Near-Infrared spectroscopy and hyperspectral imaging for non-destructive quality assessment of cereal grains (2018, background): “Other sources gave reviews focusing on food quality and safety (2, 5), or described the steps involved in the data processing and extraction of useful informa-”
Application of hyperspectral imaging for prediction of physico-chemical and sensory characteristics of table grapes (2012, background): “Hyperspectral imaging, known also as chemical or spectroscopic imaging, is an emerging technique that integrates conventional imaging and spectroscopy to attain both spatial and spectral information from an object (Gowen et al., 2007).”
Application of Near and Mid-Infrared Spectroscopy to Determine Cheese Quality and Authenticity (2008, methodology): “The first NIR spectra of casein, fat, lactose, and powdered milk were obtained by Goulden (1957) .”
Fast Prediction of Sugar Content in Dangshan Pear (Pyrus spp.) Using Hyperspectral Imagery Data (2018, background): “In recent years, hyperspectral imaging has become a powerful tool for quality control and safety inspection of agricultural and food products (Gowen et al. 2007; Wu and Sun 2013; Yang et al. 2011; Elmasry et al. 2009; Li and Chen 2017).”
Pre-processing of hyperspectral images. Essential steps before image analysis (2012, background): “The expansion of images as analytical tools has been carried out especially thanks to the development of imaging acquisition devices, modern computers and software, able to handle great sets of data, and data analysis methods, which allow extracting the relevant information from the images [1,2].”
Ripeness Classification of Astringent Persimmon Using Hyperspectral Imaging Technique (2014, neutral): “It allows for the visualization of biochemical constituents of a sample, separated into particular areas of the image, since regions of a sample with similar spectral properties have similar chemical composition (Gowen et al., 2007).”