Literature DB >> 24689678

Applications of hyperspectral imaging in chicken meat safety and quality detection and evaluation: a review.

Zhenjie Xiong1, Anguo Xie, Da-Wen Sun, Xin-An Zeng, Dan Liu.   

Abstract

Currently, the issue of food safety and quality is a great public concern. In order to satisfy the demands of consumers and obtain superior food qualities, non-destructive and fast methods are required for quality evaluation. As one of these methods, hyperspectral imaging (HSI) technique has emerged as a smart and promising analytical tool for quality evaluation purposes and has attracted much interest in non-destructive analysis of different food products. With the main advantage of combining both spectroscopy technique and imaging technique, HSI technique shows a convinced attitude to detect and evaluate chicken meat quality objectively. Moreover, developing a quality evaluation system based on HSI technology would bring economic benefits to the chicken meat industry. Therefore, in recent years, many studies have been conducted on using HSI technology for the safety and quality detection and evaluation of chicken meat. The aim of this review is thus to give a detailed overview about HSI and focus on the recently developed methods exerted in HSI technology developed for microbiological spoilage detection and quality classification of chicken meat. Moreover, the usefulness of HSI technique for detecting fecal contamination and bone fragments of chicken carcasses are presented. Finally, some viewpoints on its future research and applicability in the modern poultry industry are proposed.

Entities:  

Keywords:  Chicken; computer vision; hyperspectral imaging; near-infrared spectroscopy; non-destructive methods

Mesh:

Year:  2015        PMID: 24689678     DOI: 10.1080/10408398.2013.834875

Source DB:  PubMed          Journal:  Crit Rev Food Sci Nutr        ISSN: 1040-8398            Impact factor:   11.176


  5 in total

1.  Grading of Chinese Cantonese Sausage Using Hyperspectral Imaging Combined with Chemometric Methods.

Authors:  Aiping Gong; Susu Zhu; Yong He; Chu Zhang
Journal:  Sensors (Basel)       Date:  2017-07-25       Impact factor: 3.576

2.  Hyperspectral autofluorescence characterization of drusen and sub-RPE deposits in age-related macular degeneration.

Authors:  Yuehong Tong; Thomas Ach; Christine A Curcio; R Theodore Smith
Journal:  Ann Eye Sci       Date:  2021-03-15

Review 3.  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 4.  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

5.  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
  5 in total

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