Historical Evolution and Food Control Achievements of Near Infrared Spectroscopy, Electronic Nose, and Electronic Tongue-Critical Overview.

chemometrics fingerprinting food adulteration food authenticity sensors

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
24 Sep 2020
Historique:
received: 25 08 2020
revised: 15 09 2020
accepted: 21 09 2020
entrez: 29 9 2020
pubmed: 30 9 2020
medline: 5 3 2021
Statut: epublish

Résumé

Amid today's stringent regulations and rising consumer awareness, failing to meet quality standards often results in health and financial compromises. In the lookout for solutions, the food industry has seen a surge in high-performing systems all along the production chain. By virtue of their wide-range designs, speed, and real-time data processing, the electronic tongue (E-tongue), electronic nose (E-nose), and near infrared (NIR) spectroscopy have been at the forefront of quality control technologies. The instruments have been used to fingerprint food properties and to control food production from farm-to-fork. Coupled with advanced chemometric tools, these high-throughput yet cost-effective tools have shifted the focus away from lengthy and laborious conventional methods. This special issue paper focuses on the historical overview of the instruments and their role in food quality measurements based on defined food matrices from the Codex General Standards. The instruments have been used to detect, classify, and predict adulteration of dairy products, sweeteners, beverages, fruits and vegetables, meat, and fish products. Multiple physico-chemical and sensory parameters of these foods have also been predicted with the instruments in combination with chemometrics. Their inherent potential for speedy, affordable, and reliable measurements makes them a perfect choice for food control. The high sensitivity of the instruments can sometimes be generally challenging due to the influence of environmental conditions, but mathematical correction techniques exist to combat these challenges.

Identifiants

pubmed: 32987908
pii: s20195479
doi: 10.3390/s20195479
pmc: PMC7583984
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Magyar Tudományos Akadémia
ID : Bolyai János Scholarship
Organisme : European Social Fund
ID : EFOP- 3.6.3-VEKOP-16-2017-00005
Organisme : Ministry for Innovation and Technology
ID : ÚNKP-19-3-I-SZIE-71 and ÚNKP-19-4 -SZIE-27

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Auteurs

Balkis Aouadi (B)

Department of Measurement and Process Control, Faculty of Food Science, Szent István University, H-1118 Budapest, Hungary.

John-Lewis Zinia Zaukuu (JZ)

Department of Measurement and Process Control, Faculty of Food Science, Szent István University, H-1118 Budapest, Hungary.

Flora Vitális (F)

Department of Measurement and Process Control, Faculty of Food Science, Szent István University, H-1118 Budapest, Hungary.

Zsanett Bodor (Z)

Department of Measurement and Process Control, Faculty of Food Science, Szent István University, H-1118 Budapest, Hungary.

Orsolya Fehér (O)

Institute of Agribusiness, Faculty of Economics and Social Sciences, Szent István University, H-2100 Gödöllő, Hungary.

Zoltan Gillay (Z)

Department of Measurement and Process Control, Faculty of Food Science, Szent István University, H-1118 Budapest, Hungary.

George Bazar (G)

Department of Nutritional Science and Production Technology, Faculty of Agricultural and Environmental Sciences, Szent István University, H-7400 Kaposvár, Hungary.
ADEXGO Kft., H-8230 Balatonfüred, Hungary.

Zoltan Kovacs (Z)

Department of Measurement and Process Control, Faculty of Food Science, Szent István University, H-1118 Budapest, Hungary.

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