Cardin Marco, Cardazzo Barbara, Mounier Jérôme, Novelli Enrico, Coton Monika, Coton Emmanuel
Department of Comparative Biomedicine and Food Science, University of Padova, Viale Università 16, 35020 Legnaro, PD, Italy.
Univ Brest, INRAE, Laboratoire Universitaire de Biodiversité et Écologie Microbienne, F-29280 Plouzané, France.
Foods. 2022 Oct 26;11(21):3379. doi: 10.3390/foods11213379.
Food fraud, corresponding to any intentional action to deceive purchasers and gain an undue economical advantage, is estimated to result in a 10 to 65 billion US dollars/year economical cost worldwide. Dairy products, such as cheese, in particular cheeses with protected land- and tradition-related labels, have been listed as among the most impacted as consumers are ready to pay a premium price for traditional and typical products. In this context, efficient food authentication methods are needed to counteract current and emerging frauds. This review reports the available authentication methods, either chemical, physical, or DNA-based methods, currently used for origin authentication, highlighting their principle, reported application to cheese geographical origin authentication, performance, and respective advantages and limits. Isotope and elemental fingerprinting showed consistent accuracy in origin authentication. Other chemical and physical methods, such as near-infrared spectroscopy and nuclear magnetic resonance, require more studies and larger sampling to assess their discriminative power. Emerging DNA-based methods, such as metabarcoding, showed good potential for origin authentication. However, metagenomics, providing a more in-depth view of the cheese microbiota (up to the strain level), but also the combination of methods relying on different targets, can be of interest for this field.
食品欺诈是指任何旨在欺骗购买者并获取不正当经济利益的故意行为,据估计,其在全球范围内每年造成的经济损失达100亿至650亿美元。乳制品,如奶酪,特别是带有受保护的与产地和传统相关标签的奶酪,被列为受影响最严重的产品之一,因为消费者愿意为传统和特色产品支付高价。在这种情况下,需要有效的食品认证方法来应对当前和新出现的欺诈行为。本综述报告了目前用于产地认证的现有认证方法,包括化学、物理或基于DNA的方法,重点介绍了它们的原理、报道的在奶酪地理产地认证中的应用、性能以及各自的优缺点。同位素和元素指纹图谱在产地认证中显示出一致的准确性。其他化学和物理方法,如近红外光谱和核磁共振,需要更多的研究和更大的样本量来评估其鉴别能力。新兴的基于DNA的方法,如宏条形码技术,在产地认证方面显示出良好的潜力。然而,宏基因组学能够更深入地了解奶酪微生物群(直至菌株水平),而且基于不同目标的方法组合可能对该领域具有重要意义。