Literature DB >> 29291839

Electronic noses in classification and quality control of edible oils: A review.

Tomasz Majchrzak1, Wojciech Wojnowski2, Tomasz Dymerski3, Jacek Gębicki4, Jacek Namieśnik5.   

Abstract

The growing demand for wholesome and nutritious food leads to intensification of production, which in turn can have a detrimental effect on quality and well-being of consumers. For that reason, it is important to develop novel methods of food control which would be characterized by a short time of analysis, adequate sensitivity and relatively low cost. One such technique involves the use of multi-sensory devices called electronic noses. In recent years there has been a rapid development of this method, especially in the area of food control. Electronic olfaction can be successfully used in the analysis of edible oils, in particular in the determination of the product's geographical origin, and in detection of adulteration as well as deterioration caused by external factors.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Edible oils; Electronic nose; Food control; Quality assessment

Mesh:

Substances:

Year:  2017        PMID: 29291839     DOI: 10.1016/j.foodchem.2017.11.013

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  27 in total

1.  Optimization of electronic nose drift correction applied to tomato volatile profiling.

Authors:  Mercedes Valcárcel; Ginés Ibáñez; Raúl Martí; Joaquim Beltrán; Jaime Cebolla-Cornejo; Salvador Roselló
Journal:  Anal Bioanal Chem       Date:  2021-04-23       Impact factor: 4.142

Review 2.  Application of electronic nose as a non-invasive technique for odor fingerprinting and detection of bacterial foodborne pathogens: a review.

Authors:  Ernest Bonah; Xingyi Huang; Joshua Harrington Aheto; Richard Osae
Journal:  J Food Sci Technol       Date:  2019-11-05       Impact factor: 2.701

3.  Characterization of commercial Sacha inchi oil according to its composition: tocopherols, fatty acids, sterols, triterpene and aliphatic alcohols.

Authors:  Fernando Ramos-Escudero; Ana María Muñoz; Mónica Ramos Escudero; Adriana Viñas-Ospino; María Teresa Morales; Agustín G Asuero
Journal:  J Food Sci Technol       Date:  2019-07-22       Impact factor: 2.701

4.  Influence of Two Innovative Packaging Materials on Quality Parameters and Aromatic Fingerprint of Extra-Virgin Olive Oils.

Authors:  Stefano Farris; Susanna Buratti; Simona Benedetti; Cesare Rovera; Ernestina Casiraghi; Cristina Alamprese
Journal:  Foods       Date:  2021-04-23

Review 5.  Recent technology for food and beverage quality assessment: a review.

Authors:  Wei Keong Tan; Zulkifli Husin; Muhammad Luqman Yasruddin; Muhammad Amir Hakim Ismail
Journal:  J Food Sci Technol       Date:  2022-04-18       Impact factor: 3.117

6.  Detection, Purity Analysis, and Quality Assurance of Adulterated Peanut (Arachis Hypogaea) Oils.

Authors:  Shayla C Smithson; Boluwatife D Fakayode; Siera Henderson; John Nguyen; Sayo O Fakayode
Journal:  Foods       Date:  2018-07-31

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.  Effects of drying methods on oxidative stability of roselle seed oil (Hibiscus Sabdariffa): an optimization approach.

Authors:  M H A Jahurul; O K Shian; M S Sharifudin; M Hasmadi; J S Lee; A H Mansoor; R Jumardi; M Firoz Khan; S Jinap; A K Mohd Omar; I S M Zaidul
Journal:  J Food Sci Technol       Date:  2020-06-26       Impact factor: 2.701

9.  Feature Extraction of Electronic Nose Signals Using QPSO-Based Multiple KFDA Signal Processing.

Authors:  Tailai Wen; Jia Yan; Daoyu Huang; Kun Lu; Changjian Deng; Tanyue Zeng; Song Yu; Zhiyi He
Journal:  Sensors (Basel)       Date:  2018-01-29       Impact factor: 3.576

10.  Determination of Odour Interactions in Gaseous Mixtures Using Electronic Nose Methods with Artificial Neural Networks.

Authors:  Bartosz Szulczyński; Krzysztof Armiński; Jacek Namieśnik; Jacek Gębicki
Journal:  Sensors (Basel)       Date:  2018-02-08       Impact factor: 3.576

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