Evidence map›Paper›PMID 32987908›Full record

ReviewSensors (Basel, Switzerland)2020

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

Balkis Aouadi, John-Lewis Zinia Zaukuu, Flora Vitális, Zsanett Bodor, Orsolya Fehér, Zoltan Gillay, George Bazar, Zoltan Kovacs

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Balkis AouadiDepartment of Measurement and Process Control, Faculty of Food Science, Szent István University, H-1118 Budapest, Hungary.
John-Lewis Zinia ZaukuuDepartment of Measurement and Process Control, Faculty of Food Science, Szent István University, H-1118 Budapest, Hungary.ORCID 0000-0002-2058-4416
Flora VitálisDepartment of Measurement and Process Control, Faculty of Food Science, Szent István University, H-1118 Budapest, Hungary.
Zsanett BodorDepartment of Measurement and Process Control, Faculty of Food Science, Szent István University, H-1118 Budapest, Hungary.ORCID 0000-0002-1577-2973
Orsolya FehérInstitute of Agribusiness, Faculty of Economics and Social Sciences, Szent István University, H-2100 Gödöllő, Hungary.
Zoltan GillayDepartment of Measurement and Process Control, Faculty of Food Science, Szent István University, H-1118 Budapest, Hungary.
George BazarDepartment of Nutritional Science and Production Technology, Faculty of Agricultural and Environmental Sciences, Szent István University, H-7400 Kaposvár, Hungary.ORCID 0000-0001-9829-4366
Zoltan KovacsDepartment of Measurement and Process Control, Faculty of Food Science, Szent István University, H-1118 Budapest, Hungary.ORCID 0000-0003-0641-8830

Funding

European Social Fund EFOP- 3.6.3-VEKOP-16-2017-00005Magyar Tudományos Akadémia Bolyai János ScholarshipMinistry for Innovation and Technology ÚNKP-19-3-I-SZIE-71 and ÚNKP-19-4 -SZIE-27
6 · The paper itself

Abstract

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.

Indexed as

Electronic NoseAnimalsFood QualityFruitSpectroscopy, Near-InfraredVegetableschemometricsfingerprintingfood adulterationfood authenticitysensors

Identifiers

PMID32987908
PMCPMC7583984

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.