Literature DB >> 28501437

Electronic noses: Powerful tools in meat quality assessment.

Wojciech Wojnowski1, Tomasz Majchrzak2, Tomasz Dymerski2, Jacek Gębicki3, Jacek Namieśnik2.   

Abstract

Main factors that are considered by consumers when choosing meat products are colour and aroma, of which the latter is a more reliable indicator of quality. However, a simple sensory evaluation of hedonistic qualities is often not sufficient to determine whether protein is past its shelf life, and consumption of spoiled meat can lead to serious health hazards. Some volatile compounds can be used as spoilage indicators, and so a device equipped with a sensor sensitive to particular odorants would prove useful. Unfortunately, no such single compound has yet been identified, as the changes taking place in a sample of meat during storage are contingent on numerous factors. On the other hand, a combination of volatile compounds may form a unique 'fingerprint' which can be analysed pattern recognition algorithms with an electronic nose. It can supplement established techniques of meat quality assessment by providing results that correlate well with hedonic perception in a short time and at a low cost.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2017        PMID: 28501437     DOI: 10.1016/j.meatsci.2017.04.240

Source DB:  PubMed          Journal:  Meat Sci        ISSN: 0309-1740            Impact factor:   5.209


  26 in total

1.  Classification of Chinese vinegar varieties using electronic nose and fuzzy Foley-Sammon transformation.

Authors:  Xiao-Hong Wu; Jin Zhu; Bin Wu; Da-Peng Huang; Jun Sun; Chun-Xia Dai
Journal:  J Food Sci Technol       Date:  2019-11-13       Impact factor: 2.701

2.  Portable Electronic Nose Based on Electrochemical Sensors for Food Quality Assessment.

Authors:  Wojciech Wojnowski; Tomasz Majchrzak; Tomasz Dymerski; Jacek Gębicki; Jacek Namieśnik
Journal:  Sensors (Basel)       Date:  2017-11-24       Impact factor: 3.576

3.  Identification of the Rice Wines with Different Marked Ages by Electronic Nose Coupled with Smartphone and Cloud Storage Platform.

Authors:  Zhebo Wei; Xize Xiao; Jun Wang; Hui Wang
Journal:  Sensors (Basel)       Date:  2017-10-31       Impact factor: 3.576

4.  On the Temporal Stability of Analyte Recognition with an E-Nose Based on a Metal Oxide Sensor Array in Practical Applications.

Authors:  Ilia Kiselev; Victor Sysoev; Igor Kaikov; Ilona Koronczi; Ruslan Adil Akai Tegin; Jamila Smanalieva; Martin Sommer; Coskan Ilicali; Michael Hauptmannl
Journal:  Sensors (Basel)       Date:  2018-02-11       Impact factor: 3.576

5.  Research on a Visual Electronic Nose System Based on Spatial Heterodyne Spectrometer.

Authors:  Wenli Zhang; Fengchun Tian; An Song; Youwen Hu
Journal:  Sensors (Basel)       Date:  2018-04-13       Impact factor: 3.576

6.  Monitoring of n-butanol vapors biofiltration process using an electronic nose combined with calibration models.

Authors:  Bartosz Szulczyński; Piotr Rybarczyk; Jacek Gębicki
Journal:  Monatsh Chem       Date:  2018-08-10       Impact factor: 1.451

7.  Novel analytical method for detection of orange juice adulteration based on ultra-fast gas chromatography.

Authors:  Anna Różańska; Tomasz Dymerski; Jacek Namieśnik
Journal:  Monatsh Chem       Date:  2018-08-09       Impact factor: 1.451

8.  Direct determination of cadaverine in the volatile fraction of aerobically stored chicken breast samples.

Authors:  Wojciech Wojnowski; Justyna Płotka-Wasylka; Kaja Kalinowska; Tomasz Majchrzak; Tomasz Dymerski; Piotr Szweda; Jacek Namieśnik
Journal:  Monatsh Chem       Date:  2018-08-07       Impact factor: 1.451

9.  Colorimetric Sensor Array for Monitoring, Modelling and Comparing Spoilage Processes of Different Meat and Fish Foods.

Authors:  Lisa Rita Magnaghi; Federica Capone; Camilla Zanoni; Giancarla Alberti; Paolo Quadrelli; Raffaela Biesuz
Journal:  Foods       Date:  2020-05-25

Review 10.  Machine Learning in Human Olfactory Research.

Authors:  Jörn Lötsch; Dario Kringel; Thomas Hummel
Journal:  Chem Senses       Date:  2019-01-01       Impact factor: 3.160

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.