Data mining derived from food analyses using non-invasive/non-destructive analytical techniques; determination of food authenticity, quality & safety in tandem with computer science disciplines-Reference-Cited by-同舟云学术

Data mining derived from food analyses using non-invasive/non-destructive analytical techniques; determination of food authenticity, quality & safety in tandem with computer science disciplines

Published:2016-04 Issue: Volume:50 Page:11-25
ISSN:0924-2244
Container-title:Trends in Food Science & Technology
language:en
Short-container-title:Trends in Food Science & Technology

Author:

Ropodi A.I.,Panagou E.Z.^ORCID,Nychas G.-J.E.

Funder

European Union (European Social Fund-ESF)

National Strategic Reference Framework

Publisher

Elsevier BV

Subject

Food Science,Biotechnology

Reference99 articles.

1. Detection of minced beef adulteration with turkey meat by UV–vis, NIR and MIR spectroscopy;Alamprese;LWT – Food Science and Technology,2013

2. Council directive 93/43/EEC on the hygiene of foodstuffs;Anonymous;Official Journal of the European Communities,1993

3. Mandatory safe handling statement on labeling of raw meat and poultry products;Anonymous;Federal Register (Food Safety and Inspection Service),1993

4. WHO surveillance programme for control of foodborne infections and intoxications in Europe;Anonymous,2000

5. Food contaminants – dioxins and PCBs slide;Anonymous,2010

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