title: Non-invasive analytical technology for the detection of contamination, adulteration, and authenticity of meat, poultry, and fish: a review.
abstract: The requirement of real-time monitoring of food products has encouraged the development of non-destructive measurement systems. Hyperspectral imaging is a rapid, reagentless, non-destructive analytical technique that integrates traditional spectroscopic and imaging techniques into one system to attain both spectral and spatial information from an object that cannot be achieved with either digital imaging or conventional spectroscopic techniques. Recently, this technique has emerged as one of the most powerful and inspiring techniques for assessing different meat species and building chemical images to show the distribution maps of constituents in a direct and easy manner. After presenting a brief description of the fundamentals of hyperspectral imaging, this paper reviews the potential applications of hyperspectral imaging for detecting the adulteration, contamination, and authenticity of meat, poultry, and fish. These applications envisage that hyperspectral imaging can be considered as a promising non-invasive analytical technique for predicting the contamination, adulteration, and authenticity of meat, poultry, and fish in a real-time mode.
authors.affiliation: Graduate School of Agricultural and Life Sciences, The University of Tokyo, Japan; Department of Food Technology and Rural Industries, Faculty of Agricultural Engineering & Technology, Bangladesh Agricultural University, Mymensingh 2202, Bangladesh. Electronic address: mohammed.kamruzzaman@bau.edu.bd.
authors.forename: Mohammed
authors.initials: M
authors.lastname: Kamruzzaman
authors.affiliation: Graduate School of Agricultural and Life Sciences, The University of Tokyo, Japan. Electronic address: amakino@mail.ecc.u-tokyo.ac.jp.
authors.forename: Yoshio
authors.initials: Y
authors.lastname: Makino
authors.affiliation: Graduate School of Agricultural and Life Sciences, The University of Tokyo, Japan.
authors.forename: Seiichi
authors.initials: S
authors.lastname: Oshita
mesh_terms: D000818:Animals; D005399:Fishes; D005506:Food Contamination / Q000032:analysis*; D005516:Food Microbiology; D007091:Image Processing, Computer-Assisted; D008460:Meat / Q000032:analysis* / Q000382:microbiology; D011200:Poultry; D017747:Seafood / Q000032:analysis* / Q000382:microbiology; D013053:Spectrophotometry
keywords: Adulteration; Authenticity; Contamination; Fish; Hyperspectral imaging; Meat; Non-destructive method; Poultry