Investigation of fraud in the production of butter: a forensic case study of criminal association.

IF 2.3 3区 农林科学 Q2 CHEMISTRY, APPLIED Food Additives and Contaminants Part A-chemistry Analysis Control Exposure & Risk Assessment Pub Date : 2024-10-01 Epub Date: 2024-08-12 DOI:10.1080/19440049.2024.2387191
Leice Milla Ribeiro de Novais, Vinícius Kemper Melara, Kahlil Schwanka Salome, Andersson Barison, Ricardo de Oliveira Mascarenhas, Marcus Vinicius de Oliveira Andrade, Marcelo Carvalho Lasmar, Jorge Marcelo de Freitas, Márcio Ronaldo Santos Fernandes, Caroline Da Ros Montes D'Oca
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Abstract

Butter is among the most popular and commercially valuable dairy products. Its high commercial value makes it a major target for adulteration, which aims to reduce production costs by using lower-quality fats and oils from other sources. The annual global market is around USD 30 billion (2023), expected to reach USD 36 billion in 2028, which also justifies the enormous interest in adulteration. In this work, a confirmed case of butter adulteration was studied by Nuclear Magnetic Resonance (NMR) and Stable Carbon Isotopic Ratio Analysis (SCIRA) techniques, employed to detect the inclusion in butter production of vegetable oils, such as soybean and palm oils. A total of 21 samples seized by the Brazilian Federal Police were analysed by NMR and SCIR, and compared to original butter obtained from commercial sources. The composition of all the seized samples was a mixture of butter (dairy fat of animal origin) with fat of vegetable origin (soybean and palm oil) and did not contain milk as a major component. While NMR was an unequivocal choice to discriminate the chemical composition of food samples, identifying the short-chain saturated fatty acids present in milk fat, including the butyryl alkyl chain, SCIRA was able to discriminate the origin of fat present in the butter samples as C3 sources, such as palm vegetable oils.

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调查黄油生产中的欺诈行为:犯罪团伙的法医案例研究。
黄油是最受欢迎和最具商业价值的乳制品之一。其高商业价值使其成为掺假的主要目标,掺假的目的是通过使用其他来源的低质油脂来降低生产成本。全球每年的市场规模约为 300 亿美元(2023 年),预计到 2028 年将达到 360 亿美元,这也证明了掺假问题的巨大利益。本研究利用核磁共振(NMR)和稳定碳同位素比值分析(SCIRA)技术研究了一例已证实的黄油掺假事件,该技术用于检测黄油生产中是否掺入了大豆油和棕榈油等植物油。通过核磁共振和稳定碳同位素比值分析技术对巴西联邦警察局查获的 21 个样本进行了分析,并与从商业渠道获得的原始黄油进行了比较。所有查获样品的成分都是黄油(动物源性乳脂)与植物源性脂肪(大豆油和棕榈油)的混合物,不含牛奶这一主要成分。核磁共振是鉴别食品样品化学成分的不二选择,它可以鉴别出牛奶脂肪中的短链饱和脂肪酸,包括丁酰基烷基链,而 SCIRA 则可以鉴别出黄油样品中的脂肪来源为 C3 来源,如棕榈植物油。
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来源期刊
CiteScore
7.40
自引率
6.90%
发文量
136
审稿时长
3 months
期刊介绍: Food Additives & Contaminants: Part A publishes original research papers and critical reviews covering analytical methodology, occurrence, persistence, safety evaluation, detoxification and regulatory control of natural and man-made additives and contaminants in the food and animal feed chain. Papers are published in the areas of food additives including flavourings, pesticide and veterinary drug residues, environmental contaminants, plant toxins, mycotoxins, marine biotoxins, trace elements, migration from food packaging, food process contaminants, adulteration, authenticity and allergenicity of foods. Papers are published on animal feed where residues and contaminants can give rise to food safety concerns. Contributions cover chemistry, biochemistry and bioavailability of these substances, factors affecting levels during production, processing, packaging and storage; the development of novel foods and processes; exposure and risk assessment.
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