DNA-based analytical methods for milk authentication

Kalogianni, Despina P.

doi:10.1007/s00217-017-3016-x

Cited by 12 publications

(10 citation statements)

References 70 publications

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“…Therefore, both values were considered as relative LOD for the respective systems since all the replicates were amplified (Table 2, Figure 3). Most studies using DNA-based methods targeting mitochondrial multi-copy genes focus on the authentication of milk and milk products, with sensitivities above 0.1% of cow DNA, not enough in the field of allergen detection [24]. The real-time PCR method developed by Xiao et al [16] showed an absolute sensitivity of 0.05 ng of bovine DNA, being applied to 42 commercial food samples.…”

Section: Absolute and Relative Sensitivitymentioning

confidence: 99%

“…Köppel et al [25,26] reached an absolute sensitivity down to 0.64 μg/mL of bovine DNA, targeting the mitochondrial bovine tRNA-Lys gene, for the detection of cow's milk in processed foods as an allergen, but without its quantification. To the best of our knowledge, the proposed real-time Most studies using DNA-based methods targeting mitochondrial multi-copy genes focus on the authentication of milk and milk products, with sensitivities above 0.1% of cow DNA, not enough in the field of allergen detection [24]. The real-time PCR method developed by Xiao et al [16] showed an absolute sensitivity of 0.05 ng of bovine DNA, being applied to 42 commercial food samples.…”

Section: Absolute and Relative Sensitivitymentioning

confidence: 99%

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Detection and Quantification of Milk Ingredients as Hidden Allergens in Meat Products by a Novel Specific Real-Time PCR Method

Villa

Costa

2019

Biomolecules

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Milk ingredients are often included in a wide range of meat products, such as cooked hams and sausages, to improve technological characteristics. However, milk proteins are also important food allergens. The aim of this study was the development of a highly sensitive and specific real-time PCR system targeting the 12S rRNA gene of Bos domesticus for the detection and quantification of milk as an allergenic ingredient in processed meat products. The method was able to achieve an absolute limit of detection (LOD) of 6 fg of milk DNA. Using a normalized approach (∆Ct method) for the detection of milk protein concentrate (MPC), it was possible to obtain sensitivities down to 0.01% (w/w) of MPC in model hams (raw and cooked) and autoclaved sausages, and 0.005% in raw sausage mixtures. The developed systems generally presented acceptable PCR performance parameters, being successfully validated with blind samples, applied to commercial samples, and further compared with an immunochemical assay. Trace amounts of milk material were quantified in two out of 13 samples, but the results mostly infer the excessive practice of the precautionary labeling.

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Section: Absolute and Relative Sensitivitymentioning

confidence: 99%

Section: Absolute and Relative Sensitivitymentioning

confidence: 99%

Detection and Quantification of Milk Ingredients as Hidden Allergens in Meat Products by a Novel Specific Real-Time PCR Method

Villa

Costa

2019

Biomolecules

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“…The successful use of several DNA-based analytical methods has been reported for milk authentication and traceability in the dairy sector [275]. In recent applications, entirely satisfactory limit of detection values were achieved [276,277].…”

Section: Milk or Dairy Products Authenticity Issue Analytical Techniqmentioning

confidence: 99%

Fraud in Animal Origin Food Products: Advances in Emerging Spectroscopic Detection Methods over the Past Five Years

Hassoun

Måge

Schmidt

et al. 2020

Foods

111

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Animal origin food products, including fish and seafood, meat and poultry, milk and dairy foods, and other related products play significant roles in human nutrition. However, fraud in this food sector frequently occurs, leading to negative economic impacts on consumers and potential risks to public health and the environment. Therefore, the development of analytical techniques that can rapidly detect fraud and verify the authenticity of such products is of paramount importance. Traditionally, a wide variety of targeted approaches, such as chemical, chromatographic, molecular, and protein-based techniques, among others, have been frequently used to identify animal species, production methods, provenance, and processing of food products. Although these conventional methods are accurate and reliable, they are destructive, time-consuming, and can only be employed at the laboratory scale. On the contrary, alternative methods based mainly on spectroscopy have emerged in recent years as invaluable tools to overcome most of the limitations associated with traditional measurements. The number of scientific studies reporting on various authenticity issues investigated by vibrational spectroscopy, nuclear magnetic resonance, and fluorescence spectroscopy has increased substantially over the past few years, indicating the tremendous potential of these techniques in the fight against food fraud. It is the aim of the present manuscript to review the state-of-the-art research advances since 2015 regarding the use of analytical methods applied to detect fraud in food products of animal origin, with particular attention paid to spectroscopic measurements coupled with chemometric analysis. The opportunities and challenges surrounding the use of spectroscopic techniques and possible future directions will also be discussed.

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“…Regarding the DNA authentication of milk and dairy products, the first step is the identification of the type of milk and the raw material composition of dairy products, sourced from the main set of dairy animal species, which together account for 99% of world milk production. The procedure of DNA authentication assumes the possibility of detecting partial substitution of the declared type of milk by molecular genetic analysis of unique gene loci (Agrimonti and Marmiroli, 2018;Kalogianni, 2018;Agrimonti et al, 2019). The most common method for species identification in milk and dairy products is PCR followed by electrophoresis and hybridization-fluorescence detection of amplification products (Choopan et al, 2017;Di Domenico et al, 2017;Cosenza et al, 2019;Tsakali et al, 2019;Di Febo et al, 2020;Tsirigoti et al, 2020).…”

Section: Introductionmentioning

confidence: 99%