An overview on the Impact of Food Fraud Incidences in Various Countries and its Detection Methods, Assessment Techniques and Preventive Measures

  • Kamalapreetha B Centre of Excellence in Non-Thermal Processing, National Institute of Food Technology, Entrepreneurship and Management (NIFTEM) - Thanjavur, Tamil Nadu, India.
  • Gayathiri R Centre of Excellence in Non-Thermal Processing, National Institute of Food Technology, Entrepreneurship and Management (NIFTEM) - Thanjavur, Tamil Nadu, India.
  • Geetika Gopi K Centre of Excellence in Non-Thermal Processing, National Institute of Food Technology, Entrepreneurship and Management (NIFTEM) - Thanjavur, Tamil Nadu, India.
  • Mahendran R Centre of Excellence in Non-Thermal Processing, National Institute of Food Technology, Entrepreneurship and Management (NIFTEM) - Thanjavur, Tamil Nadu, India.
Keywords: Food adulteration, Food fraud, Health threat, Prevention strategy, Vulnerability assessment

Abstract

Food fraud is not just a local issue but perhaps a global phenomenon. If the food available in the market are undetected or poorly controlled, this can harm consumer health. Food fraud causes a lack of traceability of supply chains and may eventually be a risk to food safety. The purpose of this paper is to acquaint the various types of food fraud and to evaluate the detection methods in identifying the adulterants. It also addresses the importance of vulnerability assessment of food fraud and key actions required for its prevention. Fighting food fraud will remain a race between the fraudsters and scientists developing new methods to prevent them. The review is unique that it summarized food fraud types, basic and instrument-based detection techniques for adulterants identification and it also focuses on the international governing bodies concerned with food laws and regulations. This study also provides perceptions of the interplay between vulnerability assessment and food fraud prevention.

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References

R. Johnson, (2014), Food fraud and economically motivated adulteration of food and food ingredients. Congressional Research Service Informing the legislative dabates since.

K. Everstine, J. Spink, S. Kennedy, Economically motivated adulteration (EMA) of food: common characteristics of EMA incidents, Journal of food protection, 76(4) (2013) 723-735. https://doi.org/10.4315/0362-028X.JFP-12-399

L.Manning, J.M. Soon, Food safety, food fraud, and food defense: A fast evolving literature, Journal of food science, 81(4) (2016). https://doi.org/10.1111/1750-3841.13256

J.C. Moore, J. Spink, M. Lipp, Development and application of a database of food ingredient fraud and economically motivated adulteration from 1980 to 2010, Journal of Food Science, 77(4) (2012). https://doi.org/10.1111/j.1750-3841.2012.02657.x

K. Robson, M. Dean, S. Brooks, S. Haughey, C. Elliott, A 20-year analysis of reported food fraud in the global beef supply chain, Food Control, 116 (2020). https://doi.org/10.1016/j.foodcont.2020.107310

C. Jia, D. Jukes, The national food safety control system of China - A systematic review, Food Control, 32(1) (2013) 236–245. https://doi.org/10.1016/j.foodcont.2012.11.042

B. Caballero, P. Finglas, F. Toldra, (2015). Encyclopedia of food and health, Academic Press.

D.C. Moyer, J.W. DeVries, J. Spink, The economics of a food fraud incident–Case studies and examples including melamine in wheat gluten, Food Control, 71 (2017) 358-364. https://doi.org/10.1016/j.foodcont.2016.07.015

S.M Abress, Nateghi, L. (2015). Introduction to food frauds and their identification, International Journal of Biology, Pharmacy and Allied Sciences, 4(11), 6421-6437.

Nature world news. (2014). Retrieved from http://www.natureworldnews.com/articles/6195/20140227/honey-fraud-pollen-is-removed-from-75-percent-of-honey-sold-commercially-in-us.htm

J. Spink, D.C. Moyer, Defining the public health threat of food fraud, Journal of Food Science, 76(9) (2011). https://doi.org/10.1111/j.1750-3841.2011.02417.x

C.W. Huck, C.K., Pezzei, V.A. Huck-Pezzei, An industry perspective of food fraud, Current Opinion in Food Science, 10 (2016) 32-37. https://doi.org/10.1016/j.cofs.2016.07.004

D. Burges, (2012), Cargo theft, loss prevention, and supply chain security, Butterworth-Heinemann, https://doi.org/10.1016/B978-0-12-416007-1.00013-3

Food logistics. (2017, March). Retrieved from www.foodlogistics.com/news/.../qa-cargo-theft-in-the-food-and-beverage-industry

D. Goel, R. Gupta, (2014), Welfare impact of the grey market: Consumer’s perspective, International journal of emerging research in management and technology.

Birmingham news. (2017). Retrieved from http://www.birminghammail.co.uk/news/midlands-news/

E.Y. Chan, S.M. Griffiths, C.W. Chan, Public-health risks of melamine in milk products, The Lancet, 372(9648), (2008) 1444-1445 https://doi.org/10.1016/S0140-6736(08)61604-9

J. Fullerton, (2015), Bathtub Booze and Knock-off Whisky: Inside China's Fake Alcohol Industry, The Guardian 16.

X. Zhou, M.P.Taylor, H. Salouros, S. Prasad, Authenticity and geographic origin of global honeys determined using carbon isotope ratios and trace elements, Scientific Reports, 8(1), (2018). https://doi.org/10.1038/s41598-018-32764-w

A.M. Naaum, H.R. Shehata, S. Chen, J. Li, N. Tabujara, D. Awmack, C. Lutze-Wallace, R. Hanner, Complementary Molecular Methods Detect Undeclared Species in Sausage Products at Retail Markets in Canada, Food Control, 84 (2018) 339–44. https://doi.org/10.1016/j.foodcont.2017.07.040

P. Neo, (2019), Dangerous Dairy: Bangladesh Milk Adulteration Report Delayed despite ‘Large Majority’ of Samples Tainted, Food Navigator Asia.

T. Agres, The Cumin Scandal: Accidental or Fraudulent, Food Quality and Safety, 2015 1–2.

J. Levin, (2018), Seafood Fraud and Mislabelling across Canada, Oceana, Washington.

L. Drabova, G. Alvarez-Rivera, M. Suchanova, D. Schusterova, J. Pulkrabova, M. Tomaniova, V. Kocourek, O. Chevallier, C. Elliott, J. Hajslova, Food Fraud in Oregano: Pesticide Residues as Adulteration Markers, Food Chemistry, 276 (2019) 726–34. https://doi.org/10.1016/j.foodchem.2018.09.143

B. Sezer, H. Apaydin, G. Bilge, I.H. Boyaci, Coffee Arabica Adulteration: Detection of Wheat, Corn and Chickpea, Food Chemistry, 264 (2018) 142–148. https://doi.org/10.1016/j.foodchem.2018.05.037

A.T. Toci, A. Farah, H.R. Pezza, L. Pezza, Coffee Adulteration: More than Two Decades of Research, Critical Reviews in Analytical Chemistry, 46 (2) (2016) 83–92. https://doi.org/10.1080/10408347.2014.966185

E. Bogdan, (2016), Media framing of the Russian dairy policy after the reciprocal sanctions- a framing analysis of the Russian media 2014-2015, Wageningen University.

B. Rocchi, D. Romano, A. Sadiddin, G. Stefani, Assessing the economy-wide impact of food fraud: A SAM-based counterfactual approach, Agribusiness, 36(2) (2020)167–191. https://doi.org/10.1002/agr.21633

M. Fox, M. Mitchell, M. Dean, C. Elliott, K. Campbell, The seafood supply chain from a fraudulent perspective, Food Security, 10(4) (2018) 939–963. https://doi.org/10.1007/s12571-018-0826-zF

M.J. Walker, M. Burns, D.T. Burns, Horse Meat in Beef Products- Species Substitution 2013, Journal of the Association of Public Analysts, 41 (2013) 67–106.

M. Farshidi, R. Mohammadi, M.R. Sehatkhah, B. Ebrahimi, Identification of Mislabeling Some Meat Products Sold on the Iran Market Using PCR-RFLP, Current Nutrition & Food Science, 16(2) (2018) 170–175. https://doi.org/10.2174/1573401314666181011121539

M. Flores-Munguia, M. Bermudez-Almada, L. Vazquez-Moreno, A Research Note : Detection of Adulteration in Processed, Journal of Muscle Foods, 11 (2000) 319–325. https://doi.org/10.1111/j.1745-4573.2000.tb00435.x

Choice (2016), Does your spice rack contain fake oregano?, Choice.available at: https://www.choice.com.au/food-and-drink/groceries/herbs-and-spices/articles/oregano-fraud

E. Hong, S.Y. Lee, J.Y. Jeong, J.M. Park, B.H. Kim, K. Kwon, S.H. Chun, Modern analytical methods for the detection of food fraud and adulteration by food category, Journal of the Science of Food and Agriculture, (2017). https://doi.org/10.1002/jsfa.8364

E. Salivaras, A.R. McCurdy, Detection of olive oil adulteration with canola oil from triacylglycerol analysis by reversed-phase high-performance liquid chromatography, Journal of the American Oil Chemists' Society, 69(9), (1992) 935-938. https://doi.org/10.1007/BF02636347

A. Kuksis, M. J. McCarthy, Triglyceride gas chromatography as a means of detecting butterfat adulteration, Journal of the American Oil Chemists Society, 41(1) (1964)17-21. https://doi.org/10.1007/BF02661894

A.T. Toci, A. Farah, The volatile fingerprint of Brazilian defective coffee seeds: corroboration of potential marker compounds and identification of new low-quality indicators, Food Chemistry, 153 (2014) 298-314. https://doi.org/10.1016/j.foodchem.2013.12.040

P.D.K. Candoğan, E. Deniz, E. Güneş Altuntaş, N. Iğci, D. Özel Demiralp, Sigireti̇ Karisimlarinda Domuz, At Ve Esekettagsi̇si̇ni̇n Fourier Determination of the conversion process by spectroscopy, Gida / The Journal of Food, (2020) 369–379. https://doi.org/10.15237/gida.GD19146

G. Downey, P. McIntyre, A.N. Davies, Detecting and quantifying sunflower oil adulteration in extra virgin olive oils from the Eastern Mediterranean by visible and near-infrared spectroscopy, Journal of Agricultural and Food Chemistry, 50(20) (2002) 5520-5525. https://doi.org/10.1021/jf0257188

L.G. Zhang, X. Zhang, L.J. Ni, Z.B. Xue, X. Gu, S.X. Huang, Rapid identification of adulterated cow milk by non-linear pattern recognition methods based on near-infrared spectroscopy, Food Chemistry, 145, (2014) 342-348. https://doi.org/10.1016/j.foodchem.2013.08.064

D. Cozzolino, I. Murray, A review of the application of infrared technologies to determine and monitor composition and other quality characteristics in raw fish, fish products, and seafood, Applied Spectroscopy Reviews, 47(3) (2012) 207-218. https://doi.org/10.1080/05704928.2011.639106

S. A. Haughey, P. Galvin-King, Y.C. Ho, S.E. Bell, C.T. Elliott, The feasibility of using near-infrared and Raman spectroscopic techniques to detect fraudulent adulteration of chili powders with Sudan dye, Food Control, 48 (2015) 75-83. https://doi.org/10.1016/j.foodcont.2014.03.047

M.Q. Zou, X.F. Zhang, X.H. Qi, H.L. Ma, Y. Dong, C.W. Liu, X. Guo, H. Wang, Rapid authentication of olive oil adulteration by Raman spectrometry, Journal of agricultural and food chemistry, 57(14) (2009) 6001-6006. https://doi.org/10.1021/jf900217s

S. Li, Y.Shan, X. Zhu, X. Zhang, G. Ling, Detection of honey adulteration by high fructose corn syrup and maltose syrup using Raman spectroscopy, Journal of food composition and analysis, 28(1) (2012) 69-74. https://doi.org/10.1016/j.jfca.2012.07.006

A. Agiomyrgianaki, P.V. Petrakis, P. Dais, Detection of refined olive oil adulteration with refined hazelnut oil by employing NMR spectroscopy and multivariate statistical analysis, Talanta, 80(5) (2010). 2165-2171. https://doi.org/10.1016/j.talanta.2009.11.024

C.V. Di Anibal, I. Ruisanchez, M.P. Callao, High-resolution 1 H nuclear magnetic resonance spectrometry combined with chemometric treatment to identify adulteration of culinary spices with Sudan dyes, Food Chemistry, 124(3) (2011) 1139-1145. https://doi.org/10.1016/j.foodchem.2010.07.025

T.F. McGrath, M. Shannon, O.P. Chevallier, R. Ch, F. Xu, F. Kong, H. Peng, E. Teye, S. Akaba, D. Wu, L. Wu, Q. Cai, L.N.D. Duy, L.V.V. Man, S. Pandor, A.P. Kapil, G. Zhang, M. McBride, C.T. Elliott, Food Fingerprinting: Using a two-tiered approach to monitor and mitigate food fraud in rice, Journal of Aoac International. 104(1) (2020) 16-28. https://doi.org/10.1093/jaoacint/qsaa109

S. Patra, E.Roy, R. Madhuri, P.K. Sharma, (2017), A technique comes to life for security of life: the food contaminant sensors, In book: Nanobiosensors. https://doi.org/10.1016/B978-0-12-804301-1.00017-5

E. Chiavaro, E. Vittadini, M.T. Rodriguez-Estrada, L. Cerretani, A. Bendini, Differential scanning calorimeter application to the detection of refined hazelnut oil in extra virgin olive oil, Food Chemistry, 110(1) (2008) 248-256. https://doi.org/10.1016/j.foodchem.2008.01.044

E. Coni, M. Di Pasquale, P. Coppolelli, A. Bocca, Detection of animal fats in butter by differential scanning calorimetry: a pilot study, Journal of the American Oil Chemists Society, 71(8) (1994) 807-810. https://doi.org/10.1007/BF02540453

C. Cordella, J.F. Antinelli, C. Aurieres, J.P. Faucon, D. Cabrol-Bass, N. Sbirrazzuoli, Use of differential scanning calorimetry (DSC) as a new technique for the detection of adulteration in honey, Journal of agricultural and food chemistry, 50(1) (2002) 203-208. https://doi.org/10.1021/jf010752s

R.G. Berger, R.P. Mageau, B. Schwab, R.W. Johnston, Detection of poultry and pork in cooked and canned meat foods by enzyme-linked immunosorbent assays, Journal-Association of Official Analytical Chemists, 71(2) (1987) 406-409.

https://doi.org/10.1093/jaoac/71.2.406

L.M. Reid, C.P. O'donnell, G. Downey, Recent technological advances in the determination of food authenticity, Trends in Food Science & Technology, 17(7) (2006) 344-353. https://doi.org/10.1016/j.tifs.2006.01.006

M. Woolfe, S. Primrose, Food forensics: using DNA technology to combat misdescription and fraud, Trends in biotechnology, 22(5) (2004) 222-226. https://doi.org/10.1016/j.tibtech.2004.03.010

S. Primrose, M.Woolfe, S. Rollinson, Food forensics: methods for determining the authenticity of foodstuffs, Trends in Food Science & Technology, 21(12) (2010) 582-590. https://doi.org/10.1016/j.tifs.2010.09.006

Maleeka singh (2020) Thesis. Improving traceability and detection of food fraud: An exploration of current seafood authentication methods and validation of a novel qPCR and closed-tube barcoding method for commercial species of fish, Fastfish-Id. https://atrium.lib.uoguelph.ca/server/api/core/bitstreams/99e27d8d-9d5d-400f-baf8-e90edd93094d/content

J. Zhang, X. Zhang, L.Dediu, C. Victor, Review of the current application of fingerprinting allowing detection of food adulteration and fraud in China, Food Control, 22(8) (2011) 1126-1135. https://doi.org/10.1016/j.foodcont.2011.01.019

S. Bansal, A. Singh, M. Mangal, A.K. Mangal, S. Kumar, Food adulteration: Sources, health risks, and detection methods, Critical reviews in food science and nutrition, 57(6) (2017) 1174-1189. https://doi.org/10.1080/10408398.2014.967834

S. M. Van Ruth, W. Huisman, P.A. Luning, Food fraud vulnerability and its key factors. Trends in food science and technology, 67 (2017) 70-75. https://doi.org/10.1016/j.tifs.2017.06.017

I.C. Silvis, S.M. Van Ruth, H.J. Van der Fels-Klerx, P.A. Luning, Assessment of food fraud vulnerability in the spices chain: An explorative study, Food Control, 81 (2017) 80-87. https://doi.org/10.1016/j.foodcont.2017.05.019

A.M. Pustjens, Y. Weesepoel, S.M. Van Ruth, Food fraud and authenticity: emerging issues and future trends,f, 1 (2015) 3-20. https://doi.org/10.1016/B978-1-78242-447-5.00001-0

J. Spink, D.L. Ortega, C. Chen, F. Wu, Food fraud prevention shifts the food risk focus to vulnerability, Trends in Food Science & Technology, 62 (2017) 215-220. https://doi.org/10.1016/j.tifs.2017.02.012

J.W. Spink, (2016), Food fraud prevention. Springer Nature, New York, NY

J. Spink, D.C. Moyer, P. Whelan, The role of the public-private partnership in food fraud prevention—includes implementing the strategy, Current opinion in food science, 10 (2016) 68-75. https://doi.org/10.1016/j.cofs.2016.10.002

Published
2023-05-30
How to Cite
B, K., R, G., K, G. G., & R, M. (2023). An overview on the Impact of Food Fraud Incidences in Various Countries and its Detection Methods, Assessment Techniques and Preventive Measures. Frontiers in Advanced Materials Research, 5(1), 1-34. https://doi.org/10.34256/famr2311
Section
Articles



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