Role of analytical testing for food fraud risk mitigation – A commentary on implementation of analytical fraud testing

Role of analytical testing for food fraud risk mitigation – A commentary on implementation of analytical fraud testing

Food fraud is of high concern to the food industry. A multitude of analytical technologies exist to detect fraud. However, this testing is often expensive. Available databases detailing fraud occurrences were systematically examined to determine how frequently analytical testing triggered fraud dete...

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Bibliographic Details
Main Authors: Francis Butler, Niels Lucas Luijckx, Hans J.P. Marvin, Yamine Bouzembrak, Vahid Mojtahed
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:Current Research in Food Science
Subjects:
Food fraud
Testing
Sampling
Fraud detection
Fraud implementation framework
Statistical aspects
Online Access:http://www.sciencedirect.com/science/article/pii/S2665927121000265
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spelling doaj-8bb10b1f92704957848f5d2c4aac42242021-05-02T05:57:25ZengElsevierCurrent Research in Food Science2665-92712021-01-014301307Role of analytical testing for food fraud risk mitigation – A commentary on implementation of analytical fraud testingFrancis Butler0Niels Lucas Luijckx1Hans J.P. Marvin2Yamine Bouzembrak3Vahid Mojtahed4UCD School of Biosystems and Food Engineering, University College Dublin, Belfield, Dublin 4, Ireland; Corresponding author.TNO, P.O. Box 80015, 3508, TA, Utrecht, the NetherlandsWageningen Food Safety Research, P.O. Box 230, 6700, AE, Wageningen, the NetherlandsWageningen Food Safety Research, P.O. Box 230, 6700, AE, Wageningen, the NetherlandsInstitute for Global Food Security, Queen’s University Belfast, University Road, Belfast, BT7 1NN, UKFood fraud is of high concern to the food industry. A multitude of analytical technologies exist to detect fraud. However, this testing is often expensive. Available databases detailing fraud occurrences were systematically examined to determine how frequently analytical testing triggered fraud detection. A conceptual framework was developed for deciding when to implement analytical testing programmes for fraud and a framework to consider the economic costs of fraud and the benefits of its early detection. Factors associated with statistical sampling for fraud detection were considered. Choice of sampling location on the overall food-chain may influence the likelihood of fraud detection.http://www.sciencedirect.com/science/article/pii/S2665927121000265Food fraudTestingSamplingFraud detectionFraud implementation frameworkStatistical aspects
collection DOAJ
language English
format Article
sources DOAJ
author Francis Butler
Niels Lucas Luijckx
Hans J.P. Marvin
Yamine Bouzembrak
Vahid Mojtahed
spellingShingle Francis Butler
Niels Lucas Luijckx
Hans J.P. Marvin
Yamine Bouzembrak
Vahid Mojtahed
Role of analytical testing for food fraud risk mitigation – A commentary on implementation of analytical fraud testing
Current Research in Food Science
Food fraud
Testing
Sampling
Fraud detection
Fraud implementation framework
Statistical aspects
author_facet Francis Butler
Niels Lucas Luijckx
Hans J.P. Marvin
Yamine Bouzembrak
Vahid Mojtahed
author_sort Francis Butler
title Role of analytical testing for food fraud risk mitigation – A commentary on implementation of analytical fraud testing
title_short Role of analytical testing for food fraud risk mitigation – A commentary on implementation of analytical fraud testing
title_full Role of analytical testing for food fraud risk mitigation – A commentary on implementation of analytical fraud testing
title_fullStr Role of analytical testing for food fraud risk mitigation – A commentary on implementation of analytical fraud testing
title_full_unstemmed Role of analytical testing for food fraud risk mitigation – A commentary on implementation of analytical fraud testing
title_sort role of analytical testing for food fraud risk mitigation – a commentary on implementation of analytical fraud testing
publisher Elsevier
series Current Research in Food Science
issn 2665-9271
publishDate 2021-01-01
description Food fraud is of high concern to the food industry. A multitude of analytical technologies exist to detect fraud. However, this testing is often expensive. Available databases detailing fraud occurrences were systematically examined to determine how frequently analytical testing triggered fraud detection. A conceptual framework was developed for deciding when to implement analytical testing programmes for fraud and a framework to consider the economic costs of fraud and the benefits of its early detection. Factors associated with statistical sampling for fraud detection were considered. Choice of sampling location on the overall food-chain may influence the likelihood of fraud detection.
topic Food fraud
Testing
Sampling
Fraud detection
Fraud implementation framework
Statistical aspects
url http://www.sciencedirect.com/science/article/pii/S2665927121000265
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AT hansjpmarvin roleofanalyticaltestingforfoodfraudriskmitigationacommentaryonimplementationofanalyticalfraudtesting
AT yaminebouzembrak roleofanalyticaltestingforfoodfraudriskmitigationacommentaryonimplementationofanalyticalfraudtesting
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