Literature DB >> 25467447

Non-invasive analytical technology for the detection of contamination, adulteration, and authenticity of meat, poultry, and fish: a review.

Mohammed Kamruzzaman1, Yoshio Makino2, Seiichi Oshita3.   

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.
Copyright © 2014 Elsevier B.V. All rights reserved.

Keywords:  Adulteration; Authenticity; Contamination; Fish; Hyperspectral imaging; Meat; Non-destructive method; Poultry

Mesh:

Year:  2014        PMID: 25467447     DOI: 10.1016/j.aca.2014.08.043

Source DB:  PubMed          Journal:  Anal Chim Acta        ISSN: 0003-2670            Impact factor:   6.558


  11 in total

1.  Determination of Adulteration of Chicken Meat into Minced Beef Mixtures using Front Face Fluorescence Spectroscopy Coupled with Chemometric.

Authors:  Asima Saleem; Amna Sahar; Imran Pasha; Muhammad Shahid
Journal:  Food Sci Anim Resour       Date:  2022-07-01

2.  Hyperspectral Imaging Using Intracellular Spies: Quantitative Real-Time Measurement of Intracellular Parameters In Vivo during Interaction of the Pathogenic Fungus Aspergillus fumigatus with Human Monocytes.

Authors:  Sara Mohebbi; Florian Erfurth; Philipp Hennersdorf; Axel A Brakhage; Hans Peter Saluz
Journal:  PLoS One       Date:  2016-10-11       Impact factor: 3.240

3.  Fluorescence hyperspectral imaging (fHSI) using a spectrally resolved detector array.

Authors:  Anna Siri Luthman; Sebastian Dumitru; Isabel Quiros-Gonzalez; James Joseph; Sarah E Bohndiek
Journal:  J Biophotonics       Date:  2017-05-09       Impact factor: 3.207

4.  Applying Fourier Transform Mid Infrared Spectroscopy to Detect the Adulteration of Salmo salar with Oncorhynchus mykiss.

Authors:  Nuno Sousa; Maria João Moreira; Cristina Saraiva; José M M M de Almeida
Journal:  Foods       Date:  2018-04-05

5.  Multispectral Fluorescence Imaging Technique for On-Line Inspection of Fecal Residues on Poultry Carcasses.

Authors:  Youngwook Seo; Hoonsoo Lee; Changyeun Mo; Moon S Kim; Insuck Baek; Jayoung Lee; Byoung-Kwan Cho
Journal:  Sensors (Basel)       Date:  2019-08-09       Impact factor: 3.576

6.  Principal component analysis of hyperspectral data for early detection of mould in cheeselets.

Authors:  Jessica Farrugia; Sholeem Griffin; Vasilis P Valdramidis; Kenneth Camilleri; Owen Falzon
Journal:  Curr Res Food Sci       Date:  2021-01-11

Review 7.  Applications of Fluorescence Spectroscopy, RGB- and MultiSpectral Imaging for Quality Determinations of White Meat: A Review.

Authors:  Ke-Jun Fan; Wen-Hao Su
Journal:  Biosensors (Basel)       Date:  2022-01-28

Review 8.  A Review on Meat Quality Evaluation Methods Based on Non-Destructive Computer Vision and Artificial Intelligence Technologies.

Authors:  Yinyan Shi; Xiaochan Wang; Md Saidul Borhan; Jennifer Young; David Newman; Eric Berg; Xin Sun
Journal:  Food Sci Anim Resour       Date:  2021-07-01

Review 9.  Non-Destructive Spectroscopic Techniques and Multivariate Analysis for Assessment of Fat Quality in Pork and Pork Products: A Review.

Authors:  Christopher T Kucha; Li Liu; Michael O Ngadi
Journal:  Sensors (Basel)       Date:  2018-01-28       Impact factor: 3.576

10.  Implementation of Multispectral Imaging (MSI) for Microbiological Quality Assessment of Poultry Products.

Authors:  Evgenia D Spyrelli; Agapi I Doulgeraki; Anthoula A Argyri; Chrysoula C Tassou; Efstathios Z Panagou; George-John E Nychas
Journal:  Microorganisms       Date:  2020-04-11
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