Literature DB >> 34190644

Trends in artificial aroma sensing by means of electronic nose technologies to advance dairy production - a review.

Haruna Gado Yakubu1, Zoltan Kovacs2, Tamas Toth3,4, George Bazar1,4.   

Abstract

Controversies surrounding the name and how the electronics nose (e-nose) works have been at the center stage since the advent of the technology. Notwithstanding the controversies, the technology has gained popularity in the sensory analysis of dairy foods, because of its rapid results delivery on product aroma profile or pattern, which can be used to assess quality. This review critically evaluated the advances made in the application of the e-nose or artificial sensory system in the dairy industry, focusing on the evaluation of milk, yoghurt and cheese properties, and the trends and prospects of the technology. Most of the e-nose devices applied in the available scientific publications used sensors such as metal oxide semiconductor sensors (MOS), metal-oxide-semiconductor field-effect transistor (MOSFET), conducting polymers composites and quartz microbalance (QMB), and flame ionization detector FID, in a recent study. Though known for aroma sensing, the technology has been applied to evaluate the shelf life or microbial spoilage and to discriminate dairy products based on the volatile profile composition, as determined by the sensors. In most cases, the limitation of the technology is the inability of it to provide information on the nature of constituting compounds, except in gas chromatography and mass spectrometry-based e-nose systems.

Entities:  

Keywords:  E-nose; cheese; milk; odor; quality; smell; volatile; yoghurt

Year:  2021        PMID: 34190644     DOI: 10.1080/10408398.2021.1945533

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


  1 in total

1.  Electronic Nose for Differentiation and Quantification of Yeast Species in White Fresh Soft Cheese.

Authors:  Nawaf Abu-Khalaf; Wafa Masoud
Journal:  Appl Bionics Biomech       Date:  2022-01-17       Impact factor: 1.781

  1 in total

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