Opportunities and Challenges Using Non-targeted Methods for Food Fraud Detection

2019 ◽  
Vol 67 (31) ◽  
pp. 8425-8430 ◽  
Author(s):  
Boyan Gao ◽  
Stephen E. Holroyd ◽  
Jeffrey C. Moore ◽  
Kristie Laurvick ◽  
Steven M. Gendel ◽  
...  
Keyword(s):  
Fraud Detection ◽  
Food Fraud

Digital-Physical Parity for Food Fraud Detection

2019 ◽  
pp. 65-79
Author(s):  
Sin Kuang Lo ◽  
Xiwei Xu ◽  
Chen Wang ◽  
Ingo Weber ◽  
Paul Rimba ◽  
...  
Keyword(s):  
Fraud Detection ◽  
Food Fraud

An overview of multivariate qualitative methods for food fraud detection

Food Control ◽  
2018 ◽  
Vol 86 ◽  
pp. 283-293 ◽  
Author(s):  
M. Pilar Callao ◽  
Itziar Ruisánchez
Keyword(s):  
Qualitative Methods ◽  
Fraud Detection ◽  
Food Fraud

Food Fraud: Detection, Prevention, and Regulations

2017 ◽  
pp. 495-530
Author(s):  
Jamuna A. Bai ◽  
and V. Ravishankar Rai
Keyword(s):  
Fraud Detection ◽  
Food Fraud

scholarly journals Photoacoustic Laser System for Food Fraud Detection

Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 4178
Author(s):  
Luca Fiorani ◽  
Florinda Artuso ◽  
Isabella Giardina ◽  
Antonia Lai ◽  
Simone Mannori ◽  
...  
Keyword(s):  
Multivariate Data Analysis ◽  
Laser System ◽  
Fraud Detection ◽  
World Health ◽  
Rapid Screening ◽  
Co2 Lasers ◽  
Food Fraud ◽  
Quantum Cascade ◽  
User Friendly ◽  
Further Development

Economically motivated adulterations of food, in general, and spices, in particular, are an emerging threat to world health. Reliable techniques for the rapid screening of counterfeited ingredients in the supply chain need further development. Building on the experience gained with CO2 lasers, the Diagnostic and Metrology Laboratory of ENEA realized a compact and user-friendly photoacoustic laser system for food fraud detection, based on a quantum cascade laser. The sensor has been challenged with saffron adulteration. Multivariate data analysis tools indicated that the photoacoustic laser system was able to detect adulterants at mass ratios of 2% in less than two minutes.

Comparison of GC and NIR spectra as a rapid tool for food fraud detection – the case of butter adulteration with different fat types

2021 ◽  
Author(s):  
Snježana Kazazić ◽  
Jasenka Gajdoš‐Kljusurić ◽  
Biljana Radeljević ◽  
Dijana Plavljanić ◽  
Jasminka Špoljarić ◽  
...  
Keyword(s):  
Fraud Detection ◽  
Food Fraud ◽  
Butter Adulteration ◽  
Rapid Tool

Food fraud detection by Czech Agricultural and Food Inspection Authority in retail market

2018 ◽  
Vol 120 (4) ◽  
pp. 930-938 ◽  
Author(s):  
Jana Koubová ◽  
Eva Samková ◽  
Lucie Hasonová
Keyword(s):  
Laboratory Testing ◽  
Design Methodology ◽  
Meat Products ◽  
Fraud Detection ◽  
Food Group ◽  
Retail Market ◽  
Food Fraud ◽  
Content Type ◽  
Food Inspection ◽  
Administrative Proceedings

Purpose The purpose of this paper is to evaluate food fraud detection in the Czech food retail market based on the findings of the Czech Agricultural and Food Inspection Authority (CAFIA). Design/methodology/approach The outcomes of administrative proceedings from 2009 and 2013 were used. Data were collected from e-databases of the CAFIA and sorted by the current valid qualification for food fraud following Article 16, Regulation (EC) No. 178/2002 of the European Parliament and of the Council. Findings Food fraud was detected, almost to the same extent, in both selected years by laboratory testing as well as on the basis of “on the spot” controls in retail establishments. The meat products were a food group with the most fraudulent tendency in both selected years. Originality/value This paper contributes to the overview of food fraud and could help to detect ways of food deception for the competent authorities and consumers.

Food fraud detection in commercial pomegranate molasses syrups by UV–VIS spectroscopy, ATR-FTIR spectroscopy and HPLC methods

Food Control ◽  
2017 ◽  
Vol 78 ◽  
pp. 132-137 ◽  
Author(s):  
Nada El Darra ◽  
Hiba N. Rajha ◽  
Fatima Saleh ◽  
Rami Al-Oweini ◽  
Richard G. Maroun ◽  
...  
Keyword(s):  
Ftir Spectroscopy ◽  
Fraud Detection ◽  
Food Fraud ◽  
Vis Spectroscopy
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